diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Exp.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Exp.d.ts
deleted file mode 100644
index d0b08039e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Exp.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const expConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Exp.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Exp.js
deleted file mode 100644
index bfd3ebfc6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Exp.js
+++ /dev/null
@@ -1,29 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.expConfig = {
-    kernelName: tfjs_1.Exp,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var xTensor = x.dtype === 'int32' ? x.toFloat() : x;
-        return backend.executeSingleInput(tfjs_1.Exp, xTensor);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ExpandDims.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ExpandDims.d.ts
deleted file mode 100644
index 27b314df9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ExpandDims.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const expandDimsConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ExpandDims.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ExpandDims.js
deleted file mode 100644
index 051b8ee1e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ExpandDims.js
+++ /dev/null
@@ -1,32 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.expandDimsConfig = {
-    kernelName: tfjs_1.ExpandDims,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var input = args.inputs.input;
-        var backend = args.backend;
-        var dim = args.attrs.dim;
-        var dimTensor = tfjs_1.scalar(dim, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.ExpandDims, [], [input, dimTensor]);
-        dimTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Expm1.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Expm1.d.ts
deleted file mode 100644
index eb795a69f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Expm1.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const expm1Config: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Expm1.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Expm1.js
deleted file mode 100644
index 4e32cfac8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Expm1.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.expm1Config = {
-    kernelName: tfjs_1.Expm1,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Expm1, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FFT.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FFT.d.ts
deleted file mode 100644
index d44def8eb..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FFT.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const FFTConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FFT.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FFT.js
deleted file mode 100644
index 5327f6805..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FFT.js
+++ /dev/null
@@ -1,31 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-// tslint:disable-next-line: variable-name
-exports.FFTConfig = {
-    kernelName: tfjs_1.FFT,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var input = args.inputs.input;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tcomplex', input.dtype)];
-        return backend.executeSingleOutput(tfjs_1.FFT, opAttrs, [input]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Fill.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Fill.d.ts
deleted file mode 100644
index 408811b26..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Fill.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const fillConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Fill.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Fill.js
deleted file mode 100644
index 4db78f4ad..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Fill.js
+++ /dev/null
@@ -1,57 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.fillConfig = {
-    kernelName: tfjs_1.Fill,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var backend = args.backend;
-        var _a = args.attrs, shape = _a.shape, value = _a.value;
-        var dtype = args.attrs.dtype;
-        // TODO(cais, nkreeger): Investigate whether backend can be made into
-        // a dtype helper method. The underlying op kernel doesn't accept undefined
-        // or null dtype.
-        if (dtype == null) {
-            if (typeof value === 'number') {
-                dtype = 'float32';
-            }
-            else {
-                dtype = 'string';
-            }
-        }
-        var shapeTensor = tfjs_1.tensor1d(shape, 'int32');
-        var valueTensor = tfjs_1.scalar(value, dtype);
-        var opAttrs = [
-            {
-                name: 'T',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.getDTypeInteger(dtype)
-            },
-            {
-                name: 'index_type',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.binding.TF_INT32
-            }
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.Fill, opAttrs, [shapeTensor, valueTensor]);
-        shapeTensor.dispose();
-        valueTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Floor.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Floor.d.ts
deleted file mode 100644
index bb1f5e020..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Floor.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const floorConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Floor.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Floor.js
deleted file mode 100644
index da9aac91e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Floor.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.floorConfig = {
-    kernelName: tfjs_1.Floor,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Floor, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FloorDiv.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FloorDiv.d.ts
deleted file mode 100644
index d593bccd3..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FloorDiv.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const floorDivConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FloorDiv.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FloorDiv.js
deleted file mode 100644
index c420be721..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FloorDiv.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.floorDivConfig = {
-    kernelName: tfjs_1.FloorDiv,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.FloorDiv, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedBatchNorm.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedBatchNorm.d.ts
deleted file mode 100644
index 7ec1febb6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedBatchNorm.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const fusedBatchNormConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedBatchNorm.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedBatchNorm.js
deleted file mode 100644
index 9634cc622..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedBatchNorm.js
+++ /dev/null
@@ -1,65 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.fusedBatchNormConfig = {
-    kernelName: tfjs_1.FusedBatchNorm,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, x = _a.x, mean = _a.mean, variance = _a.variance;
-        var _b = args.inputs, scale = _b.scale, offset = _b.offset;
-        var backend = args.backend;
-        var varianceEpsilon = args.attrs.varianceEpsilon;
-        return tfjs_1.tidy(function () {
-            if (mean.rank > 1) {
-                // Fused batch norm doesn't work with high-dim mean/var/scale/offset.
-                var inv = tfjs_1.rsqrt(tfjs_1.add(variance, tfjs_1.scalar(varianceEpsilon)));
-                if (scale != null) {
-                    inv = tfjs_1.mul(inv, scale);
-                }
-                var xNorm = tfjs_1.mul(tfjs_1.sub(x, mean), inv);
-                return offset != null ? tfjs_1.add(xNorm, offset) : xNorm;
-            }
-            var dataFormat = 'NHWC';
-            var depth = x.shape[3];
-            var opAttrs = [
-                nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-                {
-                    name: 'epsilon',
-                    type: backend.binding.TF_ATTR_FLOAT,
-                    value: varianceEpsilon
-                },
-                {
-                    name: 'data_format',
-                    type: backend.binding.TF_ATTR_STRING,
-                    value: dataFormat
-                },
-                { name: 'is_training', type: backend.binding.TF_ATTR_BOOL, value: false },
-            ];
-            var numOutputs = 5;
-            if (scale == null) {
-                scale = tfjs_1.fill([depth], 1);
-            }
-            if (offset == null) {
-                offset = tfjs_1.fill([depth], 0);
-            }
-            return backend.executeMultipleOutputs(tfjs_1.FusedBatchNorm, opAttrs, [x, scale, offset, mean, variance], numOutputs)[0];
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedConv2D.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedConv2D.d.ts
deleted file mode 100644
index 79bef995a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedConv2D.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const fusedConv2DConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedConv2D.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedConv2D.js
deleted file mode 100644
index 98b7eec15..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedConv2D.js
+++ /dev/null
@@ -1,44 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var Conv2D_1 = require("./Conv2D");
-exports.fusedConv2DConfig = {
-    kernelName: tfjs_1.FusedConv2D,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, x = _a.x, filter = _a.filter, bias = _a.bias, preluActivationWeights = _a.preluActivationWeights;
-        var backend = args.backend;
-        var _b = args.attrs, strides = _b.strides, pad = _b.pad, dataFormat = _b.dataFormat, dilations = _b.dilations, dimRoundingMode = _b.dimRoundingMode, activation = _b.activation, leakyreluAlpha = _b.leakyreluAlpha;
-        var $dataFormat = tfjs_1.backend_util.convertConv2DDataFormat(dataFormat);
-        var convInfo = tfjs_1.backend_util.computeConv2DInfo(x.shape, filter.shape, strides, dilations, pad, dimRoundingMode, false /* depthwise */, $dataFormat);
-        var result = Conv2D_1.conv2dImpl(x, filter, convInfo, backend);
-        var toDispose = [];
-        if (bias != null) {
-            toDispose.push(result);
-            result = tfjs_1.add(result, bias);
-        }
-        var temp = result;
-        result = backend.applyActivation(result, activation, preluActivationWeights, leakyreluAlpha);
-        if (temp !== result) {
-            toDispose.push(temp);
-        }
-        toDispose.forEach(function (t) { return t.dispose(); });
-        return result;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedDepthwiseConv2D.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedDepthwiseConv2D.d.ts
deleted file mode 100644
index d3ba58165..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedDepthwiseConv2D.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const fusedDepthwiseConv2DConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedDepthwiseConv2D.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedDepthwiseConv2D.js
deleted file mode 100644
index af855878a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/FusedDepthwiseConv2D.js
+++ /dev/null
@@ -1,47 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var DepthwiseConv2dNative_1 = require("./DepthwiseConv2dNative");
-exports.fusedDepthwiseConv2DConfig = {
-    kernelName: tfjs_1.FusedDepthwiseConv2D,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, x = _a.x, filter = _a.filter, bias = _a.bias, preluActivationWeights = _a.preluActivationWeights;
-        var backend = args.backend;
-        var _b = args.attrs, strides = _b.strides, pad = _b.pad, dilations = _b.dilations, dimRoundingMode = _b.dimRoundingMode, activation = _b.activation, leakyreluAlpha = _b.leakyreluAlpha;
-        var $dilations = dilations;
-        if ($dilations == null) {
-            $dilations = [1, 1];
-        }
-        var convInfo = tfjs_1.backend_util.computeConv2DInfo(x.shape, filter.shape, strides, $dilations, pad, dimRoundingMode, true /* depthwise */);
-        var result = DepthwiseConv2dNative_1.depthwiseConv2dNativeImpl(x, filter, convInfo, backend);
-        var toDispose = [];
-        if (bias != null) {
-            toDispose.push(result);
-            result = tfjs_1.add(result, bias);
-        }
-        var temp = result;
-        result = backend.applyActivation(result, activation, preluActivationWeights, leakyreluAlpha);
-        if (temp !== result) {
-            toDispose.push(temp);
-        }
-        toDispose.forEach(function (t) { return t.dispose(); });
-        return result;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherNd.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherNd.d.ts
deleted file mode 100644
index d1d63bf1f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherNd.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const gatherNdConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherNd.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherNd.js
deleted file mode 100644
index 49f526d93..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherNd.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.gatherNdConfig = {
-    kernelName: tfjs_1.GatherNd,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, params = _a.params, indices = _a.indices;
-        var backend = args.backend;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tparams', params.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tindices', 'int32')
-        ];
-        return backend.executeSingleOutput(tfjs_1.GatherNd, opAttrs, [params, indices]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherV2.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherV2.d.ts
deleted file mode 100644
index c5cc97f31..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherV2.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const gatherV2Config: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherV2.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherV2.js
deleted file mode 100644
index 4ed5969b4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GatherV2.js
+++ /dev/null
@@ -1,41 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.gatherV2Config = {
-    kernelName: tfjs_1.GatherV2,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, x = _a.x, indices = _a.indices;
-        var backend = args.backend;
-        var _b = args.attrs, axis = _b.axis, batchDims = _b.batchDims;
-        // validate the inputs
-        tfjs_1.backend_util.segment_util.collectGatherOpShapeInfo(x, indices, axis, batchDims);
-        var axisTensor = tfjs_1.scalar(axis, 'int32');
-        var opAttrs = [
-            { name: 'batch_dims', type: backend.binding.TF_ATTR_INT, value: batchDims },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tparams', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tindices', indices.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Taxis', 'int32')
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.GatherV2, opAttrs, [x, indices, axisTensor]);
-        axisTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Greater.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Greater.d.ts
deleted file mode 100644
index 8a1df7103..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Greater.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const greaterConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Greater.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Greater.js
deleted file mode 100644
index 6bef0d177..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Greater.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.greaterConfig = {
-    kernelName: tfjs_1.Greater,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.Greater, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GreaterEqual.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GreaterEqual.d.ts
deleted file mode 100644
index 26f7798ef..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GreaterEqual.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const greaterEqualConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GreaterEqual.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GreaterEqual.js
deleted file mode 100644
index 476aee8b0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/GreaterEqual.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.greaterEqualConfig = {
-    kernelName: tfjs_1.GreaterEqual,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.GreaterEqual, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IFFT.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IFFT.d.ts
deleted file mode 100644
index d6a8a4764..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IFFT.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const IFFTConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IFFT.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IFFT.js
deleted file mode 100644
index 982aeb393..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IFFT.js
+++ /dev/null
@@ -1,31 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-// tslint:disable-next-line: variable-name
-exports.IFFTConfig = {
-    kernelName: tfjs_1.IFFT,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var input = args.inputs.input;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tcomplex', input.dtype)];
-        return backend.executeSingleOutput(tfjs_1.IFFT, opAttrs, [input]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Identity.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Identity.d.ts
deleted file mode 100644
index 1dc8e921f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Identity.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const identityConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Identity.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Identity.js
deleted file mode 100644
index 3ba359c62..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Identity.js
+++ /dev/null
@@ -1,29 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.identityConfig = {
-    kernelName: tfjs_1.Identity,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        // Backend needs to track refCount for the dataId for identity op
-        args.backend.incRef(x.dataId);
-        return { dataId: x.dataId, shape: x.shape, dtype: x.dtype };
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Imag.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Imag.d.ts
deleted file mode 100644
index c3b0f5c5f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Imag.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const imagConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Imag.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Imag.js
deleted file mode 100644
index b7e71c623..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Imag.js
+++ /dev/null
@@ -1,41 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.imagConfig = {
-    kernelName: tfjs_1.Imag,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var input = args.inputs.input;
-        var backend = args.backend;
-        var opAttrs = [
-            {
-                name: 'T',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.binding.TF_COMPLEX64
-            },
-            {
-                name: 'Tout',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.binding.TF_FLOAT
-            }
-        ];
-        var inputs = [input];
-        return backend.executeSingleOutput(tfjs_1.Imag, opAttrs, inputs);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsFinite.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsFinite.d.ts
deleted file mode 100644
index c3c56256e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsFinite.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const isFiniteConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsFinite.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsFinite.js
deleted file mode 100644
index 65a73a176..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsFinite.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.isFiniteConfig = {
-    kernelName: tfjs_1.IsFinite,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.IsFinite, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsInf.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsInf.d.ts
deleted file mode 100644
index 5d45cdd99..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsInf.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const isInfConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsInf.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsInf.js
deleted file mode 100644
index 36bdf6b25..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsInf.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.isInfConfig = {
-    kernelName: tfjs_1.IsInf,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.IsInf, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsNan.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsNan.d.ts
deleted file mode 100644
index d2fb05a24..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsNan.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const isNanConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsNan.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsNan.js
deleted file mode 100644
index 75ac69c7b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/IsNan.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.isNanConfig = {
-    kernelName: tfjs_1.IsNan,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.IsNan, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRN.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRN.d.ts
deleted file mode 100644
index 7934d16ea..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRN.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const LRNConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRN.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRN.js
deleted file mode 100644
index 7547e6390..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRN.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-// tslint:disable-next-line: variable-name
-exports.LRNConfig = {
-    kernelName: tfjs_1.LRN,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, depthRadius = _a.depthRadius, bias = _a.bias, alpha = _a.alpha, beta = _a.beta;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            {
-                name: 'depth_radius',
-                type: backend.binding.TF_ATTR_INT,
-                value: depthRadius
-            },
-            { name: 'bias', type: backend.binding.TF_ATTR_FLOAT, value: bias },
-            { name: 'alpha', type: backend.binding.TF_ATTR_FLOAT, value: alpha },
-            { name: 'beta', type: backend.binding.TF_ATTR_FLOAT, value: beta },
-        ];
-        return backend.executeSingleOutput(tfjs_1.LRN, opAttrs, [x]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRNGrad.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRNGrad.d.ts
deleted file mode 100644
index 1e9425877..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRNGrad.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const LRNGradConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRNGrad.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRNGrad.js
deleted file mode 100644
index b6a86c0f9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LRNGrad.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-// tslint:disable-next-line: variable-name
-exports.LRNGradConfig = {
-    kernelName: tfjs_1.LRNGrad,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, x = _a.x, y = _a.y, dy = _a.dy;
-        var backend = args.backend;
-        var _b = args.attrs, depthRadius = _b.depthRadius, bias = _b.bias, alpha = _b.alpha, beta = _b.beta;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', dy.dtype),
-            {
-                name: 'depth_radius',
-                type: backend.binding.TF_ATTR_INT,
-                value: depthRadius
-            },
-            { name: 'bias', type: backend.binding.TF_ATTR_FLOAT, value: bias },
-            { name: 'alpha', type: backend.binding.TF_ATTR_FLOAT, value: alpha },
-            { name: 'beta', type: backend.binding.TF_ATTR_FLOAT, value: beta },
-        ];
-        return backend.executeSingleOutput(tfjs_1.LRNGrad, opAttrs, [dy, x, y]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LeakyRelu.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LeakyRelu.d.ts
deleted file mode 100644
index 4dd598f0a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LeakyRelu.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const leakyReluConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LeakyRelu.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LeakyRelu.js
deleted file mode 100644
index eccf79ab2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LeakyRelu.js
+++ /dev/null
@@ -1,36 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.leakyReluConfig = {
-    kernelName: tfjs_1.LeakyRelu,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var inputs = args.inputs;
-        var attrs = args.attrs;
-        var backend = args.backend;
-        var x = inputs.x;
-        var alpha = attrs.alpha;
-        var opAttrs = [
-            { name: 'alpha', type: backend.binding.TF_ATTR_FLOAT, value: alpha },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype)
-        ];
-        return backend.executeSingleOutput(tfjs_1.LeakyRelu, opAttrs, [x]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Less.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Less.d.ts
deleted file mode 100644
index 04f834593..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Less.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const lessConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Less.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Less.js
deleted file mode 100644
index 95a42d555..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Less.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.lessConfig = {
-    kernelName: tfjs_1.Less,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.Less, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LessEqual.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LessEqual.d.ts
deleted file mode 100644
index 6a0a3aa2e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LessEqual.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const lessEqualConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LessEqual.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LessEqual.js
deleted file mode 100644
index a9e12a09c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LessEqual.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.lessEqualConfig = {
-    kernelName: tfjs_1.LessEqual,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.LessEqual, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LinSpace.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LinSpace.d.ts
deleted file mode 100644
index 8e423b256..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LinSpace.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const linSpaceConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LinSpace.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LinSpace.js
deleted file mode 100644
index c467c30e9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LinSpace.js
+++ /dev/null
@@ -1,38 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.linSpaceConfig = {
-    kernelName: tfjs_1.LinSpace,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var backend = args.backend;
-        var _a = args.attrs, start = _a.start, stop = _a.stop, num = _a.num;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', 'float32'),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tidx', 'int32')
-        ];
-        return tfjs_1.tidy(function () {
-            var inputs = [
-                tfjs_1.scalar(start, 'float32'), tfjs_1.scalar(stop, 'float32'), tfjs_1.scalar(num, 'int32')
-            ];
-            return backend.executeSingleOutput(tfjs_1.LinSpace, opAttrs, inputs);
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log.d.ts
deleted file mode 100644
index fd3a921ad..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const logConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log.js
deleted file mode 100644
index d9efecb70..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.logConfig = {
-    kernelName: tfjs_1.Log,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Log, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log1p.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log1p.d.ts
deleted file mode 100644
index 38cbae1a8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log1p.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const log1pConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log1p.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log1p.js
deleted file mode 100644
index b72381262..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Log1p.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.log1pConfig = {
-    kernelName: tfjs_1.Log1p,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Log1p, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalAnd.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalAnd.d.ts
deleted file mode 100644
index 9522780c2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalAnd.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const logicalAndConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalAnd.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalAnd.js
deleted file mode 100644
index c0005c10c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalAnd.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.logicalAndConfig = {
-    kernelName: tfjs_1.LogicalAnd,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        return backend.executeSingleOutput(tfjs_1.LogicalAnd, [], [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalNot.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalNot.d.ts
deleted file mode 100644
index 678f95132..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalNot.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const logicalNotConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalNot.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalNot.js
deleted file mode 100644
index cfddbe25e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalNot.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.logicalNotConfig = {
-    kernelName: tfjs_1.LogicalNot,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleOutput(tfjs_1.LogicalNot, [], [x]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalOr.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalOr.d.ts
deleted file mode 100644
index 9ea4f6c5a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalOr.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const logicalOrConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalOr.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalOr.js
deleted file mode 100644
index f918b8cb9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/LogicalOr.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.logicalOrConfig = {
-    kernelName: tfjs_1.LogicalOr,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        return backend.executeSingleOutput(tfjs_1.LogicalOr, [], [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Max.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Max.d.ts
deleted file mode 100644
index be6cc3267..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Max.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const maxConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Max.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Max.js
deleted file mode 100644
index 2e1aea1bb..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Max.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.maxConfig = {
-    kernelName: tfjs_1.Max,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, reductionIndices = _a.reductionIndices, keepDims = _a.keepDims;
-        var axes = tfjs_1.util.parseAxisParam(reductionIndices, x.shape);
-        var axesTensor = tfjs_1.tensor1d(axes, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.Max, backend.createReductionOpAttrs(x, keepDims), [x, axesTensor]);
-        axesTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool.d.ts
deleted file mode 100644
index e6a7d5d0e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const maxPoolConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool.js
deleted file mode 100644
index c9d653ca7..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool.js
+++ /dev/null
@@ -1,49 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.maxPoolConfig = {
-    kernelName: tfjs_1.MaxPool,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, filterSize = _a.filterSize, strides = _a.strides, pad = _a.pad, dimRoundingMode = _a.dimRoundingMode;
-        var convInfo = tfjs_1.backend_util.computePool2DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode);
-        if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-            throw new Error("TF Backend supports only 'valid' and 'same' padding " +
-                ("while padding was " + convInfo.padInfo.type));
-        }
-        var ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
-        var $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-        var padding = convInfo.padInfo.type;
-        var dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            { name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize },
-            { name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides },
-            { name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding }, {
-                name: 'data_format',
-                type: backend.binding.TF_ATTR_STRING,
-                value: dataFormat
-            }
-        ];
-        return backend.executeSingleOutput(tfjs_1.MaxPool, opAttrs, [x]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3D.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3D.d.ts
deleted file mode 100644
index 278b1cc47..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3D.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const maxPool3DConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3D.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3D.js
deleted file mode 100644
index a2483b001..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3D.js
+++ /dev/null
@@ -1,53 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.maxPool3DConfig = {
-    kernelName: tfjs_1.MaxPool3D,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, filterSize = _a.filterSize, strides = _a.strides, pad = _a.pad, dataFormat = _a.dataFormat, dimRoundingMode = _a.dimRoundingMode;
-        var convInfo = tfjs_1.backend_util.computePool3DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode, dataFormat);
-        if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-            throw new Error("TF Backend supports only 'valid' and 'same' padding " +
-                ("while padding was " + convInfo.padInfo.type));
-        }
-        var ksize = [
-            1, convInfo.filterDepth, convInfo.filterHeight, convInfo.filterWidth, 1
-        ];
-        var $strides = [
-            1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-        ];
-        var padding = convInfo.padInfo.type;
-        var $dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            { name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize },
-            { name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides },
-            { name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding }, {
-                name: 'data_format',
-                type: backend.binding.TF_ATTR_STRING,
-                value: $dataFormat
-            }
-        ];
-        return backend.executeSingleOutput(tfjs_1.MaxPool3D, opAttrs, [x]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3DGrad.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3DGrad.d.ts
deleted file mode 100644
index 54e7a34a1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3DGrad.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const maxPool3DGradConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3DGrad.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3DGrad.js
deleted file mode 100644
index aec0ca281..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPool3DGrad.js
+++ /dev/null
@@ -1,54 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.maxPool3DGradConfig = {
-    kernelName: tfjs_1.MaxPool3DGrad,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, dy = _a.dy, input = _a.input, output = _a.output;
-        var backend = args.backend;
-        var _b = args.attrs, filterSize = _b.filterSize, strides = _b.strides, pad = _b.pad, dimRoundingMode = _b.dimRoundingMode;
-        var convInfo = tfjs_1.backend_util.computePool3DInfo(input.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode);
-        if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-            throw new Error("TF Backend supports only 'valid' and 'same' padding " +
-                ("while padding type was " + convInfo.padInfo.type));
-        }
-        var ksize = [
-            1, convInfo.filterDepth, convInfo.filterHeight, convInfo.filterWidth, 1
-        ];
-        var $strides = [
-            1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-        ];
-        var padding = convInfo.padInfo.type;
-        var dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', input.dtype),
-            { name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize },
-            { name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides },
-            { name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding },
-            {
-                name: 'data_format',
-                type: backend.binding.TF_ATTR_STRING,
-                value: dataFormat
-            },
-        ];
-        return backend.executeSingleOutput(tfjs_1.MaxPool3DGrad, opAttrs, [input, output, dy]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPoolGrad.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPoolGrad.d.ts
deleted file mode 100644
index 8324ed935..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPoolGrad.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const maxPoolGradConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPoolGrad.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPoolGrad.js
deleted file mode 100644
index c6d77cca5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MaxPoolGrad.js
+++ /dev/null
@@ -1,50 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.maxPoolGradConfig = {
-    kernelName: tfjs_1.MaxPoolGrad,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, dy = _a.dy, input = _a.input, output = _a.output;
-        var backend = args.backend;
-        var _b = args.attrs, filterSize = _b.filterSize, strides = _b.strides, pad = _b.pad, dimRoundingMode = _b.dimRoundingMode;
-        var convInfo = tfjs_1.backend_util.computePool2DInfo(input.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode);
-        if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-            throw new Error("TF Backend supports only 'valid' and 'same' padding " +
-                ("while padding type was " + convInfo.padInfo.type));
-        }
-        var ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
-        var $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-        var padding = convInfo.padInfo.type;
-        var dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', input.dtype),
-            { name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize },
-            { name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides },
-            { name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding },
-            {
-                name: 'data_format',
-                type: backend.binding.TF_ATTR_STRING,
-                value: dataFormat
-            },
-        ];
-        return backend.executeSingleOutput(tfjs_1.MaxPoolGrad, opAttrs, [input, output, dy]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Maximum.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Maximum.d.ts
deleted file mode 100644
index 23a653d94..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Maximum.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const maximumConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Maximum.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Maximum.js
deleted file mode 100644
index cc1593f6f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Maximum.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.maximumConfig = {
-    kernelName: tfjs_1.Maximum,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.Maximum, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mean.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mean.d.ts
deleted file mode 100644
index 517d22542..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mean.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const meanConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mean.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mean.js
deleted file mode 100644
index 4d8028673..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mean.js
+++ /dev/null
@@ -1,36 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.meanConfig = {
-    kernelName: tfjs_1.Mean,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, axis = _a.axis, keepDims = _a.keepDims;
-        var axes = tfjs_1.util.parseAxisParam(axis, x.shape);
-        var axesTensor = tfjs_1.tensor1d(axes, 'int32');
-        // Cast to float32 to match existing tfjs implementation/tests.
-        var asFloat32 = tfjs_1.cast(x, 'float32');
-        var res = backend.executeSingleOutput(tfjs_1.Mean, backend.createReductionOpAttrs(x, keepDims), [asFloat32, axesTensor]);
-        asFloat32.dispose();
-        axesTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Min.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Min.d.ts
deleted file mode 100644
index c25780c57..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Min.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const minConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Min.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Min.js
deleted file mode 100644
index eb27a4c83..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Min.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.minConfig = {
-    kernelName: tfjs_1.Min,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, axis = _a.axis, keepDims = _a.keepDims;
-        var axes = tfjs_1.util.parseAxisParam(axis, x.shape);
-        var axesTensor = tfjs_1.tensor1d(axes, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.Min, backend.createReductionOpAttrs(x, keepDims), [x, axesTensor]);
-        axesTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Minimum.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Minimum.d.ts
deleted file mode 100644
index c66a2992a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Minimum.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const minimumConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Minimum.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Minimum.js
deleted file mode 100644
index 87423ea8a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Minimum.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.minimumConfig = {
-    kernelName: tfjs_1.Minimum,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.Minimum, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MirrorPad.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MirrorPad.d.ts
deleted file mode 100644
index f08dd0d3f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MirrorPad.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const mirrorPadConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MirrorPad.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MirrorPad.js
deleted file mode 100644
index 9ea7f9561..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/MirrorPad.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.mirrorPadConfig = {
-    kernelName: tfjs_1.MirrorPad,
-    backendName: 'tensorflow',
-    kernelFunc: function (_a) {
-        var inputs = _a.inputs, backend = _a.backend, attrs = _a.attrs;
-        var x = inputs.x;
-        var _b = attrs, paddings = _b.paddings, mode = _b.mode;
-        var nodeBackend = backend;
-        var paddingsTensor = tfjs_1.tensor2d(paddings, [paddings.length, 2], 'int32');
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tpaddings', paddingsTensor.dtype), {
-                name: 'mode',
-                type: nodeBackend.binding.TF_ATTR_STRING,
-                value: mode.toUpperCase()
-            }
-        ];
-        var output = nodeBackend.executeSingleOutput('MirrorPad', opAttrs, [x, paddingsTensor]);
-        paddingsTensor.dispose();
-        return output;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mod.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mod.d.ts
deleted file mode 100644
index 44e932168..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mod.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const modConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mod.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mod.js
deleted file mode 100644
index 5697340e9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Mod.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.modConfig = {
-    kernelName: tfjs_1.Mod,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', a.dtype)];
-        return backend.executeSingleOutput('FloorMod', opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multinomial.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multinomial.d.ts
deleted file mode 100644
index 04efe4e1e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multinomial.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const multinomialConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multinomial.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multinomial.js
deleted file mode 100644
index 27a5d3e10..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multinomial.js
+++ /dev/null
@@ -1,43 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.multinomialConfig = {
-    kernelName: tfjs_1.Multinomial,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var logits = args.inputs.logits;
-        var backend = args.backend;
-        var _a = args.attrs, numSamples = _a.numSamples, seed = _a.seed, normalized = _a.normalized;
-        if (normalized) {
-            throw new Error('TF Node backend does not support normalized logits ' +
-                'passed to multinomial');
-        }
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', logits.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('output_dtype', 'int32'),
-            { name: 'seed', type: backend.binding.TF_ATTR_INT, value: seed },
-            { name: 'seed2', type: backend.binding.TF_ATTR_INT, value: seed * seed },
-        ];
-        var numSamplesTensor = tfjs_1.scalar(numSamples, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.Multinomial, opAttrs, [logits, numSamplesTensor]);
-        numSamplesTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multiply.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multiply.d.ts
deleted file mode 100644
index c185cf567..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multiply.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const multiplyConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multiply.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multiply.js
deleted file mode 100644
index 11b41c36e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Multiply.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.multiplyConfig = {
-    kernelName: tfjs_1.Multiply,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput('Mul', opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Neg.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Neg.d.ts
deleted file mode 100644
index e4a4f106f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Neg.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const negConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Neg.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Neg.js
deleted file mode 100644
index 2bebc8e8a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Neg.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.negConfig = {
-    kernelName: tfjs_1.Neg,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Neg, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV3.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV3.d.ts
deleted file mode 100644
index 358e88523..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV3.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const nonMaxSuppressionV3Config: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV3.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV3.js
deleted file mode 100644
index d33b8f4c5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV3.js
+++ /dev/null
@@ -1,41 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.nonMaxSuppressionV3Config = {
-    kernelName: tfjs_1.NonMaxSuppressionV3,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, boxes = _a.boxes, scores = _a.scores;
-        var backend = args.backend;
-        var _b = args.attrs, maxOutputSize = _b.maxOutputSize, iouThreshold = _b.iouThreshold, scoreThreshold = _b.scoreThreshold;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', boxes.dtype)];
-        var maxOutputSizeTensor = tfjs_1.scalar(maxOutputSize, 'int32');
-        var iouThresholdTensor = tfjs_1.scalar(iouThreshold);
-        var scoreThresholdTensor = tfjs_1.scalar(scoreThreshold);
-        var res = backend.executeSingleOutput(tfjs_1.NonMaxSuppressionV3, opAttrs, [
-            boxes, scores, maxOutputSizeTensor, iouThresholdTensor,
-            scoreThresholdTensor
-        ]);
-        maxOutputSizeTensor.dispose();
-        iouThresholdTensor.dispose();
-        scoreThresholdTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV4.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV4.d.ts
deleted file mode 100644
index 9b2d2211c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV4.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const nonMaxSuppressionV4Config: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV4.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV4.js
deleted file mode 100644
index d89722f5f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV4.js
+++ /dev/null
@@ -1,50 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-// TODO(nsthorat, dsmilkov): Remove dependency on tensors, use dataId.
-exports.nonMaxSuppressionV4Config = {
-    kernelName: tfjs_1.NonMaxSuppressionV4,
-    backendName: 'tensorflow',
-    kernelFunc: function (_a) {
-        var inputs = _a.inputs, backend = _a.backend, attrs = _a.attrs;
-        var _b = inputs, boxes = _b.boxes, scores = _b.scores;
-        var _c = attrs, maxOutputSize = _c.maxOutputSize, iouThreshold = _c.iouThreshold, scoreThreshold = _c.scoreThreshold, padToMaxOutputSize = _c.padToMaxOutputSize;
-        var maxOutputSizeTensor = tfjs_1.scalar(maxOutputSize, 'int32');
-        var iouThresholdTensor = tfjs_1.scalar(iouThreshold, 'float32');
-        var scoreThresholdTensor = tfjs_1.scalar(scoreThreshold, 'float32');
-        var nodeBackend = backend;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', boxes.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T_threshold', 'float32'), {
-                name: 'pad_to_max_output_size',
-                type: nodeBackend.binding.TF_ATTR_BOOL,
-                value: padToMaxOutputSize
-            }
-        ];
-        var _d = nodeBackend.executeMultipleOutputs('NonMaxSuppressionV4', opAttrs, [
-            boxes, scores, maxOutputSizeTensor,
-            iouThresholdTensor, scoreThresholdTensor
-        ], 2), selectedIndices = _d[0], validOutputs = _d[1];
-        maxOutputSizeTensor.dispose();
-        iouThresholdTensor.dispose();
-        scoreThresholdTensor.dispose();
-        return [selectedIndices, validOutputs];
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV5.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV5.d.ts
deleted file mode 100644
index e347b3ab0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV5.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const nonMaxSuppressionV5Config: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV5.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV5.js
deleted file mode 100644
index 23c3e9f97..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NonMaxSuppressionV5.js
+++ /dev/null
@@ -1,46 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-// TODO(nsthorat, dsmilkov): Remove dependency on tensors, use dataId.
-exports.nonMaxSuppressionV5Config = {
-    kernelName: 'NonMaxSuppressionV5',
-    backendName: 'tensorflow',
-    kernelFunc: function (_a) {
-        var inputs = _a.inputs, backend = _a.backend, attrs = _a.attrs;
-        var _b = inputs, boxes = _b.boxes, scores = _b.scores;
-        var _c = attrs, maxOutputSize = _c.maxOutputSize, iouThreshold = _c.iouThreshold, scoreThreshold = _c.scoreThreshold, softNmsSigma = _c.softNmsSigma;
-        var maxOutputSizeTensor = tfjs_1.scalar(maxOutputSize, 'int32');
-        var iouThresholdTensor = tfjs_1.scalar(iouThreshold);
-        var scoreThresholdTensor = tfjs_1.scalar(scoreThreshold);
-        var softNmsSigmaTensor = tfjs_1.scalar(softNmsSigma);
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', boxes.dtype)];
-        var nodeBackend = backend;
-        var _d = nodeBackend.executeMultipleOutputs('NonMaxSuppressionV5', opAttrs, [
-            boxes, scores, maxOutputSizeTensor,
-            iouThresholdTensor, scoreThresholdTensor, softNmsSigmaTensor
-        ], 3), selectedIndices = _d[0], selectedScores = _d[1], validOutputs = _d[2];
-        maxOutputSizeTensor.dispose();
-        iouThresholdTensor.dispose();
-        scoreThresholdTensor.dispose();
-        softNmsSigmaTensor.dispose();
-        validOutputs.dispose();
-        return [selectedIndices, selectedScores];
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NotEqual.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NotEqual.d.ts
deleted file mode 100644
index e9148a15c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NotEqual.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const notEqualConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NotEqual.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NotEqual.js
deleted file mode 100644
index eece111db..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/NotEqual.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.notEqualConfig = {
-    kernelName: tfjs_1.NotEqual,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.NotEqual, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OneHot.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OneHot.d.ts
deleted file mode 100644
index cb59c1d26..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OneHot.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const oneHotConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OneHot.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OneHot.js
deleted file mode 100644
index 4b45622f2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OneHot.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.oneHotConfig = {
-    kernelName: tfjs_1.OneHot,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var indices = args.inputs.indices;
-        var backend = args.backend;
-        var _a = args.attrs, depth = _a.depth, onValue = _a.onValue, offValue = _a.offValue;
-        var depthTensor = tfjs_1.scalar(depth, 'int32');
-        var onValueTensor = tfjs_1.scalar(onValue, 'int32');
-        var offValueTensor = tfjs_1.scalar(offValue, 'int32');
-        var opAttrs = [
-            { name: 'axis', type: backend.binding.TF_ATTR_INT, value: -1 },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', indices.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('TI', indices.dtype)
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.OneHot, opAttrs, [indices, depthTensor, onValueTensor, offValueTensor]);
-        depthTensor.dispose();
-        onValueTensor.dispose();
-        offValueTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OnesLike.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OnesLike.d.ts
deleted file mode 100644
index 01d2e7c35..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OnesLike.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const onesLikeConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OnesLike.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OnesLike.js
deleted file mode 100644
index ae5cd7152..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/OnesLike.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.onesLikeConfig = {
-    kernelName: tfjs_1.OnesLike,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var opAttrs = [{
-                name: 'T',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.getDTypeInteger(x.dtype)
-            }];
-        return backend.executeSingleOutput(tfjs_1.OnesLike, opAttrs, [x]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pack.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pack.d.ts
deleted file mode 100644
index 1c53c4b6d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pack.d.ts
+++ /dev/null
@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig, PackAttrs, PackInputs, TensorInfo } from '@tensorflow/tfjs';
-import { NodeJSKernelBackend } from '../nodejs_kernel_backend';
-export declare function pack(args: {
-    inputs: PackInputs;
-    backend: NodeJSKernelBackend;
-    attrs: PackAttrs;
-}): TensorInfo;
-export declare const packConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pack.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pack.js
deleted file mode 100644
index a163b9f2a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pack.js
+++ /dev/null
@@ -1,37 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-function pack(args) {
-    var inputs = args.inputs, backend = args.backend, attrs = args.attrs;
-    var axis = attrs.axis;
-    var opAttrs = [
-        { name: 'N', type: backend.binding.TF_ATTR_INT, value: inputs.length },
-        nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', inputs),
-        { name: 'axis', type: backend.binding.TF_ATTR_INT, value: axis }
-    ];
-    var res = backend.executeSingleOutput(tfjs_1.Pack, opAttrs, inputs);
-    return res;
-}
-exports.pack = pack;
-exports.packConfig = {
-    kernelName: tfjs_1.Pack,
-    backendName: 'tensorflow',
-    kernelFunc: pack
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/PadV2.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/PadV2.d.ts
deleted file mode 100644
index e297ae2cc..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/PadV2.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const padV2Config: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/PadV2.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/PadV2.js
deleted file mode 100644
index 3bdef6e18..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/PadV2.js
+++ /dev/null
@@ -1,40 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.padV2Config = {
-    kernelName: tfjs_1.PadV2,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, paddings = _a.paddings, constantValue = _a.constantValue;
-        // Bind tensor values
-        var paddingsTensor = tfjs_1.tensor2d(paddings, [paddings.length, 2], 'int32');
-        var constantTensor = tfjs_1.scalar(constantValue, x.dtype);
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tpaddings', paddingsTensor.dtype)
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.PadV2, opAttrs, [x, paddingsTensor, constantTensor]);
-        paddingsTensor.dispose();
-        constantTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pow.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pow.d.ts
deleted file mode 100644
index 5f728e2e6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pow.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const powConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pow.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pow.js
deleted file mode 100644
index deabdc582..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Pow.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.powConfig = {
-    kernelName: tfjs_1.Pow,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var dtype = tfjs_1.backend_util.upcastType(a.dtype, b.dtype);
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', dtype)];
-        return tfjs_1.tidy(function () {
-            return backend.executeSingleOutput(tfjs_1.Pow, opAttrs, [tfjs_1.cast(a, dtype), tfjs_1.cast(b, dtype)]);
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prelu.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prelu.d.ts
deleted file mode 100644
index c1fbeab78..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prelu.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const preluConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prelu.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prelu.js
deleted file mode 100644
index ce674b22f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prelu.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.preluConfig = {
-    kernelName: tfjs_1.Prelu,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var inputs = args.inputs;
-        var x = inputs.x;
-        var alpha = inputs.alpha;
-        return tfjs_1.tidy(function () {
-            var pos = tfjs_1.relu(x);
-            var neg = alpha.mul(x.sub(tfjs_1.abs(x))).mul(0.5);
-            return pos.add(neg);
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prod.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prod.d.ts
deleted file mode 100644
index aae550640..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prod.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const prodConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prod.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prod.js
deleted file mode 100644
index 572f4f0fe..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Prod.js
+++ /dev/null
@@ -1,39 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.prodConfig = {
-    kernelName: tfjs_1.Prod,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, axis = _a.axis, keepDims = _a.keepDims;
-        var axes = tfjs_1.util.parseAxisParam(axis, x.shape);
-        var axesTensor = tfjs_1.tensor1d(axes, 'int32');
-        var opAttrs = [
-            { name: 'keep_dims', type: backend.binding.TF_ATTR_BOOL, value: keepDims },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tidx', 'int32')
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.Prod, opAttrs, [x, axesTensor]);
-        axesTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Range.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Range.d.ts
deleted file mode 100644
index ea84dc4dc..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Range.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const rangeConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Range.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Range.js
deleted file mode 100644
index c079a9a02..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Range.js
+++ /dev/null
@@ -1,53 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.rangeConfig = {
-    kernelName: tfjs_1.Range,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var backend = args.backend;
-        var _a = args.attrs, start = _a.start, stop = _a.stop, dtype = _a.dtype;
-        var step = args.attrs.step;
-        // TensorFlow.js specific allowances
-        var sameStartStop = start === stop;
-        var increasingRangeNegativeStep = start < stop && step < 0;
-        var decreasingRangePositiveStep = stop < start && step > 1;
-        if (sameStartStop || increasingRangeNegativeStep ||
-            decreasingRangePositiveStep) {
-            return tfjs_1.zeros([0], dtype);
-        }
-        if (stop < start && step === 1) {
-            // Auto adjust the step's sign if it hasn't been set
-            // (or was set to 1)
-            step = -1;
-        }
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tidx', dtype)];
-        var startTensor = tfjs_1.scalar(start);
-        var stopTensor = tfjs_1.scalar(stop);
-        var stepTensor = tfjs_1.scalar(step);
-        var res = backend.executeSingleOutput(tfjs_1.Range, opAttrs, [startTensor, stopTensor, stepTensor]);
-        var castedRes = res.cast(dtype);
-        startTensor.dispose();
-        stopTensor.dispose();
-        stepTensor.dispose();
-        res.dispose();
-        return castedRes;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Real.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Real.d.ts
deleted file mode 100644
index bfad23440..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Real.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const realConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Real.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Real.js
deleted file mode 100644
index b7b8c7b94..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Real.js
+++ /dev/null
@@ -1,37 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.realConfig = {
-    kernelName: tfjs_1.Real,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var input = args.inputs.input;
-        var backend = args.backend;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', input), {
-                name: 'Tout',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.binding.TF_FLOAT
-            }
-        ];
-        var inputs = [input];
-        return backend.executeSingleOutput(tfjs_1.Real, opAttrs, inputs);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/RealDiv.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/RealDiv.d.ts
deleted file mode 100644
index 0d47935b3..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/RealDiv.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const realDivConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/RealDiv.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/RealDiv.js
deleted file mode 100644
index 4406042c4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/RealDiv.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.realDivConfig = {
-    kernelName: tfjs_1.RealDiv,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.RealDiv, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reciprocal.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reciprocal.d.ts
deleted file mode 100644
index f79756b05..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reciprocal.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const reciprocalConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reciprocal.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reciprocal.js
deleted file mode 100644
index 40279f140..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reciprocal.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.reciprocalConfig = {
-    kernelName: tfjs_1.Reciprocal,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Reciprocal, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu.d.ts
deleted file mode 100644
index 1cd331fd2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const reluConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu.js
deleted file mode 100644
index 26fb3587e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.reluConfig = {
-    kernelName: tfjs_1.Relu,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Relu, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu6.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu6.d.ts
deleted file mode 100644
index 8260e07a9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu6.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const relu6Config: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu6.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu6.js
deleted file mode 100644
index 5fbce31d2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Relu6.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.relu6Config = {
-    kernelName: tfjs_1.Relu6,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Relu6, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reshape.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reshape.d.ts
deleted file mode 100644
index 075fbc4f7..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reshape.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const reshapeConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reshape.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reshape.js
deleted file mode 100644
index 0d77bf558..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reshape.js
+++ /dev/null
@@ -1,37 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.reshapeConfig = {
-    kernelName: tfjs_1.Reshape,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var shape = args.attrs.shape;
-        var shapeTensor = tfjs_1.tensor1d(shape, 'int32');
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tshape', shapeTensor.dtype)
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.Reshape, opAttrs, [x, shapeTensor]);
-        shapeTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinear.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinear.d.ts
deleted file mode 100644
index cf007f0f4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinear.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const resizeBilinearConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinear.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinear.js
deleted file mode 100644
index 333fbf29a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinear.js
+++ /dev/null
@@ -1,47 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.resizeBilinearConfig = {
-    kernelName: tfjs_1.ResizeBilinear,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var images = args.inputs.images;
-        var backend = args.backend;
-        var _a = args.attrs, alignCorners = _a.alignCorners, halfPixelCenters = _a.halfPixelCenters, size = _a.size;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', images.dtype),
-            {
-                name: 'align_corners',
-                type: backend.binding.TF_ATTR_BOOL,
-                value: alignCorners
-            },
-            {
-                name: 'half_pixel_centers',
-                type: backend.binding.TF_ATTR_BOOL,
-                value: halfPixelCenters
-            },
-        ];
-        var newHeight = size[0], newWidth = size[1];
-        var sizeTensor = tfjs_1.tensor1d([newHeight, newWidth], 'int32');
-        var ret = backend.executeSingleOutput(tfjs_1.ResizeBilinear, opAttrs, [images, sizeTensor]);
-        sizeTensor.dispose();
-        return ret;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinearGrad.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinearGrad.d.ts
deleted file mode 100644
index 4cf98fb46..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinearGrad.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const resizeBilinearGradConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinearGrad.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinearGrad.js
deleted file mode 100644
index 2c305847a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeBilinearGrad.js
+++ /dev/null
@@ -1,37 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.resizeBilinearGradConfig = {
-    kernelName: tfjs_1.ResizeBilinearGrad,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, images = _a.images, dy = _a.dy;
-        var backend = args.backend;
-        var alignCorners = args.attrs.alignCorners;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', images.dtype), {
-                name: 'align_corners',
-                type: backend.binding.TF_ATTR_BOOL,
-                value: alignCorners
-            }
-        ];
-        return backend.executeSingleOutput(tfjs_1.ResizeBilinearGrad, opAttrs, [dy, images]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighbor.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighbor.d.ts
deleted file mode 100644
index 24ca2a34e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighbor.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const resizeNearestNeighborConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighbor.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighbor.js
deleted file mode 100644
index a5f55007c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighbor.js
+++ /dev/null
@@ -1,47 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.resizeNearestNeighborConfig = {
-    kernelName: tfjs_1.ResizeNearestNeighbor,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var images = args.inputs.images;
-        var backend = args.backend;
-        var _a = args.attrs, alignCorners = _a.alignCorners, halfPixelCenters = _a.halfPixelCenters, size = _a.size;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', images.dtype),
-            {
-                name: 'align_corners',
-                type: backend.binding.TF_ATTR_BOOL,
-                value: alignCorners
-            },
-            {
-                name: 'half_pixel_centers',
-                type: backend.binding.TF_ATTR_BOOL,
-                value: halfPixelCenters
-            },
-        ];
-        var newHeight = size[0], newWidth = size[1];
-        var sizeTensor = tfjs_1.tensor1d([newHeight, newWidth], 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.ResizeNearestNeighbor, opAttrs, [images, sizeTensor]);
-        sizeTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighborGrad.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighborGrad.d.ts
deleted file mode 100644
index 63c939d83..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighborGrad.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const resizeNearestNeighborGradConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighborGrad.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighborGrad.js
deleted file mode 100644
index 0f67c4ba9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ResizeNearestNeighborGrad.js
+++ /dev/null
@@ -1,41 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.resizeNearestNeighborGradConfig = {
-    kernelName: tfjs_1.ResizeNearestNeighborGrad,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, images = _a.images, dy = _a.dy;
-        var backend = args.backend;
-        var alignCorners = args.attrs.alignCorners;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', images.dtype), {
-                name: 'align_corners',
-                type: backend.binding.TF_ATTR_BOOL,
-                value: alignCorners
-            }
-        ];
-        var _b = images.shape, origHeight = _b[1], origWidth = _b[2];
-        var sizeTensor = tfjs_1.tensor1d([origHeight, origWidth], 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.ResizeNearestNeighborGrad, opAttrs, [dy, sizeTensor]);
-        sizeTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reverse.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reverse.d.ts
deleted file mode 100644
index 8b8b8fe61..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reverse.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const reverseConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reverse.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reverse.js
deleted file mode 100644
index a03d18b49..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Reverse.js
+++ /dev/null
@@ -1,38 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.reverseConfig = {
-    kernelName: tfjs_1.Reverse,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var dims = args.attrs.dims;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tidx', 'int32'),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype)
-        ];
-        var axes = tfjs_1.util.parseAxisParam(dims, x.shape);
-        var axisTensor = tfjs_1.tensor1d(axes, 'int32');
-        var res = backend.executeSingleOutput('ReverseV2', opAttrs, [x, axisTensor]);
-        axisTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Round.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Round.d.ts
deleted file mode 100644
index c09ce60d3..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Round.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const roundConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Round.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Round.js
deleted file mode 100644
index 70964efd8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Round.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.roundConfig = {
-    kernelName: tfjs_1.Round,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Round, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Rsqrt.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Rsqrt.d.ts
deleted file mode 100644
index d7a6a18e1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Rsqrt.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const rsqrtConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Rsqrt.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Rsqrt.js
deleted file mode 100644
index 70211b3c8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Rsqrt.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.rsqrtConfig = {
-    kernelName: tfjs_1.Rsqrt,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Rsqrt, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ScatterNd.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ScatterNd.d.ts
deleted file mode 100644
index 991cdec30..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ScatterNd.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const scatterNdConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ScatterNd.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ScatterNd.js
deleted file mode 100644
index 123df0a51..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ScatterNd.js
+++ /dev/null
@@ -1,37 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.scatterNdConfig = {
-    kernelName: tfjs_1.ScatterNd,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, indices = _a.indices, updates = _a.updates;
-        var backend = args.backend;
-        var shape = args.attrs.shape;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', updates.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tindices', 'int32')
-        ];
-        var shapeTensor = tfjs_1.tensor1d(shape, 'int32');
-        var ret = backend.executeSingleOutput(tfjs_1.ScatterNd, opAttrs, [indices, updates, shapeTensor]);
-        shapeTensor.dispose();
-        return ret;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Select.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Select.d.ts
deleted file mode 100644
index 37ce6635e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Select.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const selectConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Select.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Select.js
deleted file mode 100644
index 424392732..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Select.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.selectConfig = {
-    kernelName: tfjs_1.Select,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, condition = _a.condition, t = _a.t, e = _a.e;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(t.dtype, e.dtype))];
-        return backend.executeSingleOutput(tfjs_1.Select, opAttrs, [condition, t, e]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Selu.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Selu.d.ts
deleted file mode 100644
index b026150ee..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Selu.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const seluConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Selu.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Selu.js
deleted file mode 100644
index 48289f9b8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Selu.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.seluConfig = {
-    kernelName: tfjs_1.Selu,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Selu, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sigmoid.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sigmoid.d.ts
deleted file mode 100644
index 3ed66e9af..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sigmoid.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const sigmoidConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sigmoid.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sigmoid.js
deleted file mode 100644
index 47d213a97..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sigmoid.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.sigmoidConfig = {
-    kernelName: tfjs_1.Sigmoid,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Sigmoid, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sign.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sign.d.ts
deleted file mode 100644
index 45ec8a935..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sign.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const signConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sign.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sign.js
deleted file mode 100644
index c3d7f8378..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sign.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.signConfig = {
-    kernelName: tfjs_1.Sign,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Sign, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sin.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sin.d.ts
deleted file mode 100644
index e7a3c77ec..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sin.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const sinConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sin.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sin.js
deleted file mode 100644
index e15623658..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sin.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.sinConfig = {
-    kernelName: tfjs_1.Sin,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Sin, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sinh.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sinh.d.ts
deleted file mode 100644
index f297afd86..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sinh.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const sinhConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sinh.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sinh.js
deleted file mode 100644
index 4e4325fb4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sinh.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.sinhConfig = {
-    kernelName: tfjs_1.Sinh,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Sinh, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Slice.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Slice.d.ts
deleted file mode 100644
index 39f341a9a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Slice.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const sliceConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Slice.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Slice.js
deleted file mode 100644
index b91407d79..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Slice.js
+++ /dev/null
@@ -1,41 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.sliceConfig = {
-    kernelName: tfjs_1.Slice,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, begin = _a.begin, size = _a.size;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Index', 'int32')
-        ];
-        // Bind tensor values
-        var _b = tfjs_1.backend_util.slice_util.parseSliceParams(x, begin, size), begin_ = _b[0], size_ = _b[1];
-        var beginTensor = tfjs_1.tensor1d(begin_, 'int32');
-        var sizeTensor = tfjs_1.tensor1d(size_, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.Slice, opAttrs, [x, beginTensor, sizeTensor]);
-        beginTensor.dispose();
-        sizeTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softmax.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softmax.d.ts
deleted file mode 100644
index 37b8b3408..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softmax.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const softmaxConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softmax.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softmax.js
deleted file mode 100644
index 63ab9d9f2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softmax.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.softmaxConfig = {
-    kernelName: 'Softmax',
-    backendName: 'tensorflow',
-    kernelFunc: function (_a) {
-        var inputs = _a.inputs, backend = _a.backend;
-        var logits = inputs.logits;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', logits.dtype)];
-        var nodeBackend = backend;
-        return nodeBackend.executeSingleOutput('Softmax', opAttrs, [logits]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softplus.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softplus.d.ts
deleted file mode 100644
index 6fe82a069..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softplus.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const softplusConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softplus.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softplus.js
deleted file mode 100644
index 0996422c5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Softplus.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.softplusConfig = {
-    kernelName: tfjs_1.Softplus,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Softplus, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SpaceToBatchND.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SpaceToBatchND.d.ts
deleted file mode 100644
index 34ce1b5f8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SpaceToBatchND.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const spaceToBatchNDConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SpaceToBatchND.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SpaceToBatchND.js
deleted file mode 100644
index 24daa4539..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SpaceToBatchND.js
+++ /dev/null
@@ -1,40 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.spaceToBatchNDConfig = {
-    kernelName: tfjs_1.SpaceToBatchND,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, blockShape = _a.blockShape, paddings = _a.paddings;
-        var blockShapeTensor = tfjs_1.tensor1d(blockShape, 'int32');
-        var paddingsTensor = tfjs_1.tensor2d(paddings, [paddings.length, paddings[0].length], 'int32');
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tblock_shape', 'int32'),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tpaddings', paddingsTensor.dtype)
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.SpaceToBatchND, opAttrs, [x, blockShapeTensor, paddingsTensor]);
-        blockShapeTensor.dispose();
-        paddingsTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SparseToDense.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SparseToDense.d.ts
deleted file mode 100644
index 96dddde53..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SparseToDense.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const sparseToDenseConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SparseToDense.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SparseToDense.js
deleted file mode 100644
index b6d5923f6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SparseToDense.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.sparseToDenseConfig = {
-    kernelName: tfjs_1.SparseToDense,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, sparseIndices = _a.sparseIndices, sparseValues = _a.sparseValues, defaultValue = _a.defaultValue;
-        var backend = args.backend;
-        var outputShape = args.attrs.outputShape;
-        var opAttrs = [
-            {
-                name: 'validate_indices',
-                type: backend.binding.TF_ATTR_BOOL,
-                value: true
-            },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', sparseValues.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tindices', sparseIndices.dtype)
-        ];
-        var outputShapeTensor = tfjs_1.tensor1d(outputShape, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.SparseToDense, opAttrs, [sparseIndices, outputShapeTensor, sparseValues, defaultValue]);
-        outputShapeTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.d.ts
deleted file mode 100644
index df93fe243..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const splitVConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.js
deleted file mode 100644
index 4756aba37..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.js
+++ /dev/null
@@ -1,49 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.splitVConfig = {
-    kernelName: tfjs_1.SplitV,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, numOrSizeSplits = _a.numOrSizeSplits, axis = _a.axis;
-        var $axis = tfjs_1.util.parseAxisParam(axis, x.shape)[0];
-        var splitSizes = tfjs_1.backend_util.prepareSplitSize(x, numOrSizeSplits, $axis);
-        var opAttrs = [
-            {
-                name: 'num_split',
-                type: backend.binding.TF_ATTR_INT,
-                value: splitSizes.length
-            },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x), {
-                name: 'Tlen',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.binding.TF_INT32
-            }
-        ];
-        var inputs = [x];
-        return tfjs_1.tidy(function () {
-            inputs.push(tfjs_1.tensor1d(splitSizes, 'int32'));
-            inputs.push(tfjs_1.scalar($axis, 'int32'));
-            return backend.executeMultipleOutputs(tfjs_1.SplitV, opAttrs, inputs, splitSizes.length);
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sqrt.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sqrt.d.ts
deleted file mode 100644
index 7927da0bc..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sqrt.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const sqrtConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sqrt.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sqrt.js
deleted file mode 100644
index 0db05727f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sqrt.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.sqrtConfig = {
-    kernelName: tfjs_1.Sqrt,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Sqrt, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Square.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Square.d.ts
deleted file mode 100644
index 13ff3b31f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Square.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const squareConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Square.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Square.js
deleted file mode 100644
index 9242ce267..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Square.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.squareConfig = {
-    kernelName: tfjs_1.Square,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Square, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SquaredDifference.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SquaredDifference.d.ts
deleted file mode 100644
index 228da9e04..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SquaredDifference.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const squaredDifferenceConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SquaredDifference.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SquaredDifference.js
deleted file mode 100644
index 92896f7ff..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/SquaredDifference.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.squaredDifferenceConfig = {
-    kernelName: tfjs_1.SquaredDifference,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', a.dtype)];
-        return backend.executeSingleOutput(tfjs_1.SquaredDifference, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Step.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Step.d.ts
deleted file mode 100644
index c1b3699fb..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Step.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const stepConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Step.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Step.js
deleted file mode 100644
index c1d004155..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Step.js
+++ /dev/null
@@ -1,36 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.stepConfig = {
-    kernelName: tfjs_1.Step,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var alpha = args.attrs.alpha;
-        var dtype = x.dtype;
-        return tfjs_1.tidy(function () {
-            var nans = tfjs_1.isNaN(x);
-            var stepNoNans = tfjs_1.where(tfjs_1.greater(x, tfjs_1.scalar(0, dtype)), tfjs_1.ones(x.shape), tfjs_1.fill(x.shape, alpha, dtype));
-            var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(x.dtype, stepNoNans.dtype))];
-            return backend.executeSingleOutput('Select', opAttrs, [nans, x, stepNoNans]);
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/StridedSlice.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/StridedSlice.d.ts
deleted file mode 100644
index f9eef24cd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/StridedSlice.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const stridedSliceConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/StridedSlice.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/StridedSlice.js
deleted file mode 100644
index 64b3e19e1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/StridedSlice.js
+++ /dev/null
@@ -1,100 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.stridedSliceConfig = {
-    kernelName: tfjs_1.StridedSlice,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, beginMask = _a.beginMask, endMask = _a.endMask, ellipsisMask = _a.ellipsisMask, newAxisMask = _a.newAxisMask, shrinkAxisMask = _a.shrinkAxisMask;
-        var _b = args.attrs, begin = _b.begin, end = _b.end, strides = _b.strides;
-        // make a copy because it may be modified in-place further down.
-        begin = begin.slice();
-        end = end.slice();
-        if (strides == null) {
-            strides = new Array(begin.length);
-        }
-        var ellipsisAxes = tfjs_1.backend_util.slice_util.maskToAxes(ellipsisMask);
-        if (ellipsisAxes.length > 1) {
-            throw new Error('Multiple ellipses in slice is not allowed.');
-        }
-        if (ellipsisMask !== 0 && newAxisMask !== 0) {
-            throw new Error('Using both ellipsisMask and newAxisMask is not yet supported.');
-        }
-        if (ellipsisMask !== 0 && shrinkAxisMask !== 0) {
-            throw new Error('Using both ellipsisMask and shrinkAxisMask is not yet supported.');
-        }
-        return tfjs_1.tidy(function () {
-            var numInterpolatedAxes = x.rank - begin.length;
-            // Expand the dims of x based on the newAxisMask.
-            var expandAxes = tfjs_1.backend_util.slice_util.maskToAxes(newAxisMask);
-            var newShape = x.shape.slice();
-            expandAxes.forEach(function (axis) {
-                begin[axis] = 0;
-                end[axis] = 1;
-                newShape.splice(axis, 0, 1);
-            });
-            x = tfjs_1.reshape(x, newShape);
-            var _a = tfjs_1.backend_util.slice_util.getNormalizedAxes(x.shape, ellipsisAxes, numInterpolatedAxes, begin, end, strides, beginMask, endMask, ellipsisMask), normalizedBegin = _a.begin, normalizedEnd = _a.end, normalizedStrides = _a.strides;
-            begin = normalizedBegin;
-            end = normalizedEnd;
-            strides = normalizedStrides;
-            var shrinkAxes = tfjs_1.backend_util.slice_util.maskToAxes(shrinkAxisMask);
-            // Adjust the ends based on the shrink mask.
-            shrinkAxes.forEach(function (axis) {
-                end[axis] = begin[axis] + 1;
-                strides[axis] = 1;
-            });
-            // Figure out the output shape.
-            var size = tfjs_1.backend_util.slice_util.computeOutShape(begin, end, strides);
-            // Remove the axes based on shrinkMask.
-            var outShape = size.filter(function (_, axis) { return shrinkAxes.indexOf(axis) === -1; });
-            var nonStrided = strides.every(function (v) { return v === 1; });
-            if (nonStrided) {
-                return tfjs_1.reshape(tfjs_1.slice(x, begin, size), outShape);
-            }
-            var beginTensor = tfjs_1.tensor1d(begin, 'int32');
-            for (var axis = 0; axis < end.length; axis++) {
-                // Unlike Numpy, when the strides are negative, TF C uses -n-1 instead
-                // of -1 as the "end" in order to include the first element.
-                if (strides[axis] < 0 && end[axis] === -1) {
-                    end[axis] -= x.shape[axis];
-                }
-            }
-            var endTensor = tfjs_1.tensor1d(end, 'int32');
-            var stridesTensor = tfjs_1.tensor1d(strides, 'int32');
-            // Because tfjs allows begin, end and strides to be of different lengths
-            // It has custom code (see above to handle the masking), so we do not
-            // pass the mask info to the tensorflow backend.
-            var opAttrs = [
-                nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-                nodejs_kernel_backend_1.createTensorsTypeOpAttr('Index', 'int32'),
-                { name: 'begin_mask', type: backend.binding.TF_ATTR_INT, value: 0 },
-                { name: 'end_mask', type: backend.binding.TF_ATTR_INT, value: 0 },
-                { name: 'ellipsis_mask', type: backend.binding.TF_ATTR_INT, value: 0 },
-                { name: 'new_axis_mask', type: backend.binding.TF_ATTR_INT, value: 0 },
-                { name: 'shrink_axis_mask', type: backend.binding.TF_ATTR_INT, value: 0 }
-            ];
-            var res = backend.executeSingleOutput(tfjs_1.StridedSlice, opAttrs, [x, beginTensor, endTensor, stridesTensor]);
-            return tfjs_1.reshape(res, outShape);
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sub.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sub.d.ts
deleted file mode 100644
index 241a478fd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sub.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const subConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sub.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sub.js
deleted file mode 100644
index 8ce3f5ab2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sub.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.subConfig = {
-    kernelName: tfjs_1.Sub,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b;
-        var backend = args.backend;
-        var opAttrs = [nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return backend.executeSingleOutput(tfjs_1.Sub, opAttrs, [a, b]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sum.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sum.d.ts
deleted file mode 100644
index 7afb1ec8a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sum.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const sumConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sum.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sum.js
deleted file mode 100644
index fc1127dbc..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Sum.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.sumConfig = {
-    kernelName: tfjs_1.Sum,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, axis = _a.axis, keepDims = _a.keepDims;
-        var axes = tfjs_1.util.parseAxisParam(axis, x.shape);
-        var axisTensor = tfjs_1.tensor1d(axes, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.Sum, backend.createReductionOpAttrs(x, keepDims), [x, axisTensor]);
-        axisTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tan.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tan.d.ts
deleted file mode 100644
index 8ad63abe8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tan.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const tanConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tan.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tan.js
deleted file mode 100644
index 507527171..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tan.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.tanConfig = {
-    kernelName: tfjs_1.Tan,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Tan, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tanh.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tanh.d.ts
deleted file mode 100644
index 47b92dd8b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tanh.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const tanhConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tanh.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tanh.js
deleted file mode 100644
index 159aeeef9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tanh.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.tanhConfig = {
-    kernelName: tfjs_1.Tanh,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        return backend.executeSingleInput(tfjs_1.Tanh, x);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tile.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tile.d.ts
deleted file mode 100644
index 33cf0482f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tile.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const tileConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tile.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tile.js
deleted file mode 100644
index 9e2eb1edd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Tile.js
+++ /dev/null
@@ -1,37 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.tileConfig = {
-    kernelName: tfjs_1.Tile,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var reps = args.attrs.reps;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tmultiples', 'int32')
-        ];
-        var multiples = tfjs_1.tensor1d(reps, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.Tile, opAttrs, [x, multiples]);
-        multiples.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/TopK.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/TopK.d.ts
deleted file mode 100644
index 7e2029e0c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/TopK.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const topKConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/TopK.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/TopK.js
deleted file mode 100644
index 5a360c5e0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/TopK.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var util_1 = require("util");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.topKConfig = {
-    kernelName: tfjs_1.TopK,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var _a = args.attrs, k = _a.k, sorted = _a.sorted;
-        var kCount = util_1.isNullOrUndefined(k) ? 1 : k;
-        var isSorted = util_1.isNullOrUndefined(sorted) ? true : sorted;
-        var opAttrs = [
-            { name: 'sorted', type: backend.binding.TF_ATTR_BOOL, value: isSorted },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-        ];
-        var kTensor = tfjs_1.scalar(kCount, 'int32');
-        // 'TopKV2' has two-hard coded output attributes:
-        // TODO(yassogba) consider renamine constant in kernel names;
-        var res = backend.executeMultipleOutputs('TopKV2', opAttrs, [x, kTensor], 2);
-        kTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Transpose.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Transpose.d.ts
deleted file mode 100644
index 199b13686..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Transpose.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const transposeConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Transpose.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Transpose.js
deleted file mode 100644
index 4fc5faba1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Transpose.js
+++ /dev/null
@@ -1,37 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.transposeConfig = {
-    kernelName: tfjs_1.Transpose,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var perm = args.attrs.perm;
-        var permTensor = tfjs_1.tensor1d(perm, 'int32');
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tperm', 'int32')
-        ];
-        var res = backend.executeSingleOutput(tfjs_1.Transpose, opAttrs, [x, permTensor]);
-        permTensor.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Unpack.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Unpack.d.ts
deleted file mode 100644
index 97f9fa19a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Unpack.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const unpackConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Unpack.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Unpack.js
deleted file mode 100644
index 26d34e115..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/Unpack.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.unpackConfig = {
-    kernelName: tfjs_1.Unpack,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var value = args.inputs.value;
-        var backend = args.backend;
-        var axis = args.attrs.axis;
-        if (axis < 0) {
-            axis += value.shape.length;
-        }
-        if (axis >= value.shape.length) {
-            throw new Error("Invalid axis supplied: " + axis + " shape length: " + value.shape.length);
-        }
-        var num = value.shape[axis];
-        var opAttrs = [
-            { name: 'num', type: backend.binding.TF_ATTR_INT, value: num },
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', value.dtype),
-            { name: 'axis', type: backend.binding.TF_ATTR_INT, value: axis }
-        ];
-        return backend.executeMultipleOutputs(tfjs_1.Unpack, opAttrs, [value], num);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/UnsortedSegmentSum.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/UnsortedSegmentSum.d.ts
deleted file mode 100644
index 9fc96a6ed..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/UnsortedSegmentSum.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const unsortedSegmentSumConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/UnsortedSegmentSum.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/UnsortedSegmentSum.js
deleted file mode 100644
index aa14cf88b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/UnsortedSegmentSum.js
+++ /dev/null
@@ -1,38 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
-exports.unsortedSegmentSumConfig = {
-    kernelName: tfjs_1.UnsortedSegmentSum,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, x = _a.x, segmentIds = _a.segmentIds;
-        var backend = args.backend;
-        var numSegments = args.attrs.numSegments;
-        var opAttrs = [
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tindices', 'int32'),
-            nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tnumsegments', 'int32')
-        ];
-        var numSegmentsT = tfjs_1.scalar(numSegments, 'int32');
-        var res = backend.executeSingleOutput(tfjs_1.UnsortedSegmentSum, opAttrs, [x, segmentIds, numSegmentsT]);
-        numSegmentsT.dispose();
-        return res;
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ZerosLike.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ZerosLike.d.ts
deleted file mode 100644
index 31415b63c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ZerosLike.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const zerosLikeConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ZerosLike.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ZerosLike.js
deleted file mode 100644
index 8ea88d8bd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/ZerosLike.js
+++ /dev/null
@@ -1,33 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports.zerosLikeConfig = {
-    kernelName: tfjs_1.ZerosLike,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var x = args.inputs.x;
-        var backend = args.backend;
-        var opAttrs = [{
-                name: 'T',
-                type: backend.binding.TF_ATTR_TYPE,
-                value: backend.getDTypeInteger(x.dtype)
-            }];
-        return backend.executeSingleOutput(tfjs_1.ZerosLike, opAttrs, [x]);
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/_FusedMatMul.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/_FusedMatMul.d.ts
deleted file mode 100644
index d7976022d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/_FusedMatMul.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs';
-export declare const _fusedMatMulConfig: KernelConfig;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/_FusedMatMul.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/_FusedMatMul.js
deleted file mode 100644
index fc9ab3824..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/kernels/_FusedMatMul.js
+++ /dev/null
@@ -1,38 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-exports._fusedMatMulConfig = {
-    kernelName: tfjs_1._FusedMatMul,
-    backendName: 'tensorflow',
-    kernelFunc: function (args) {
-        var _a = args.inputs, a = _a.a, b = _a.b, bias = _a.bias, preluActivationWeights = _a.preluActivationWeights;
-        var backend = args.backend;
-        var _b = args.attrs, transposeA = _b.transposeA, transposeB = _b.transposeB, activation = _b.activation, leakyreluAlpha = _b.leakyreluAlpha;
-        // Core TensorFlow does not have a fused BatchMatMul op. Combine calls to
-        // achieve the same results:
-        return tfjs_1.tidy(function () {
-            var result = tfjs_1.matMul(a, b, transposeA, transposeB);
-            if (bias != null) {
-                result = tfjs_1.add(result, bias);
-            }
-            result = backend.applyActivation(result, activation, preluActivationWeights, leakyreluAlpha);
-            return result;
-        });
-    }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/node.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/node.d.ts
deleted file mode 100644
index d892fcd71..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/node.d.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-/**
- * Public API symbols under the tf.node.* namespace.
- */
-import { tensorBoard } from './callbacks';
-import { decodeBmp, decodeGif, decodeImage, decodeJpeg, decodePng, encodeJpeg, encodePng } from './image';
-import { getMetaGraphsFromSavedModel, getNumOfSavedModels, loadSavedModel } from './saved_model';
-import { summaryFileWriter } from './tensorboard';
-export declare const node: {
-    decodeImage: typeof decodeImage;
-    decodeBmp: typeof decodeBmp;
-    decodeGif: typeof decodeGif;
-    decodePng: typeof decodePng;
-    decodeJpeg: typeof decodeJpeg;
-    encodeJpeg: typeof encodeJpeg;
-    encodePng: typeof encodePng;
-    summaryFileWriter: typeof summaryFileWriter;
-    tensorBoard: typeof tensorBoard;
-    getMetaGraphsFromSavedModel: typeof getMetaGraphsFromSavedModel;
-    getNumOfSavedModels: typeof getNumOfSavedModels;
-    loadSavedModel: typeof loadSavedModel;
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/node.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/node.js
deleted file mode 100644
index 08e8938fd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/node.js
+++ /dev/null
@@ -1,39 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-/**
- * Public API symbols under the tf.node.* namespace.
- */
-var callbacks_1 = require("./callbacks");
-var image_1 = require("./image");
-var saved_model_1 = require("./saved_model");
-var tensorboard_1 = require("./tensorboard");
-exports.node = {
-    decodeImage: image_1.decodeImage,
-    decodeBmp: image_1.decodeBmp,
-    decodeGif: image_1.decodeGif,
-    decodePng: image_1.decodePng,
-    decodeJpeg: image_1.decodeJpeg,
-    encodeJpeg: image_1.encodeJpeg,
-    encodePng: image_1.encodePng,
-    summaryFileWriter: tensorboard_1.summaryFileWriter,
-    tensorBoard: callbacks_1.tensorBoard,
-    getMetaGraphsFromSavedModel: saved_model_1.getMetaGraphsFromSavedModel,
-    getNumOfSavedModels: saved_model_1.getNumOfSavedModels,
-    loadSavedModel: saved_model_1.loadSavedModel
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend.d.ts
deleted file mode 100644
index 76a090969..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend.d.ts
+++ /dev/null
@@ -1,112 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import * as tf from '@tensorflow/tfjs';
-import { backend_util, BackendTimingInfo, DataId, DataType, KernelBackend, ModelTensorInfo, Scalar, ScalarLike, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, TensorInfo } from '@tensorflow/tfjs';
-import { TFEOpAttr, TFJSBinding } from './tfjs_binding';
-export declare class NodeJSKernelBackend extends KernelBackend {
-    binding: TFJSBinding;
-    isGPUPackage: boolean;
-    isUsingGpuDevice: boolean;
-    private tensorMap;
-    constructor(binding: TFJSBinding, packageName: string);
-    getDTypeInteger(dtype: DataType): number;
-    private typeAttributeFromTensor;
-    private createOutputTensor;
-    private getInputTensorIds;
-    createReductionOpAttrs(tensor: TensorInfo, keepDims?: boolean): TFEOpAttr[];
-    floatPrecision(): 16 | 32;
-    epsilon(): number;
-    /**
-     * Executes an op that has a single input and output.
-     *
-     * Helper function to wrap executeSingleOutput in a particular case.
-     * @param name The name of the Op to execute.
-     * @param input The input Tensor for the Op.
-     */
-    executeSingleInput(name: string, input: TensorInfo): Tensor;
-    /**
-     * Executes a TensorFlow Eager Op that provides one output Tensor.
-     * @param name The name of the Op to execute.
-     * @param opAttrs The list of Op attributes required to execute.
-     * @param inputs The list of input Tensors for the Op.
-     * @return A resulting Tensor from Op execution.
-     */
-    executeSingleOutput(name: string, opAttrs: TFEOpAttr[], inputs: TensorInfo[]): Tensor;
-    /**
-     * Executes a TensorFlow Eager Op that provides multiple output Tensors.
-     * @param name The name of the Op to execute.
-     * @param opAttrs The list of Op attributes required to execute.
-     * @param inputs The list of input Tensors for the Op.
-     * @param numOutputs The number of output Tensors for Op execution.
-     * @return A resulting Tensor array from Op execution.
-     */
-    executeMultipleOutputs(name: string, opAttrs: TFEOpAttr[], inputs: TensorInfo[], numOutputs: number): Tensor[];
-    numDataIds(): number;
-    dispose(): void;
-    read(dataId: DataId): Promise<backend_util.BackendValues>;
-    readSync(dataId: DataId): backend_util.BackendValues;
-    /**
-     * Dispose the memory if the dataId has 0 refCount. Return true if the memory
-     * is released, false otherwise.
-     * @param dataId
-     * @oaram force Optional, remove the data regardless of refCount
-     */
-    disposeData(dataId: DataId, force?: boolean): boolean;
-    /** Return refCount of a `TensorData`. */
-    refCount(dataId: DataId): number;
-    incRef(dataId: DataId): void;
-    move(dataId: DataId, values: backend_util.BackendValues, shape: number[], dtype: DataType, refCount: number): void;
-    write(values: backend_util.BackendValues, shape: number[], dtype: DataType): DataId;
-    applyActivation<T extends Tensor>(input: T, activation: string, preluActivationWeights?: Tensor, leakyreluAlpha?: number): T;
-    divide(a: Tensor, b: Tensor): Tensor;
-    divNoNan(a: Tensor, b: Tensor): Tensor;
-    where(condition: Tensor): Tensor2D;
-    topKValues<T extends Tensor>(x: T, k: number): Tensor1D;
-    topKIndices(x: Tensor, k: number): Tensor1D;
-    int<T extends Tensor>(x: T): T;
-    decodeJpeg(contents: Uint8Array, channels: number, ratio: number, fancyUpscaling: boolean, tryRecoverTruncated: boolean, acceptableFraction: number, dctMethod: string): Tensor3D;
-    decodePng(contents: Uint8Array, channels: number): Tensor3D;
-    decodeBmp(contents: Uint8Array, channels: number): Tensor3D;
-    decodeGif(contents: Uint8Array): Tensor4D;
-    executeEncodeImageOp(name: string, opAttrs: TFEOpAttr[], imageData: Uint8Array, imageShape: number[]): Tensor;
-    encodeJpeg(imageData: Uint8Array, imageShape: number[], format: '' | 'grayscale' | 'rgb', quality: number, progressive: boolean, optimizeSize: boolean, chromaDownsampling: boolean, densityUnit: 'in' | 'cm', xDensity: number, yDensity: number, xmpMetadata: string): Tensor;
-    encodePng(imageData: Uint8Array, imageShape: number[], compression: number): Tensor;
-    deleteSavedModel(id: number): void;
-    loadSavedModelMetaGraph(path: string, tags: string): number;
-    private getMappedInputTensorIds;
-    runSavedModel(id: number, inputs: Tensor[], inputTensorInfos: ModelTensorInfo[], outputOpNames: string[]): Tensor[];
-    summaryWriter(logdir: string): Tensor1D;
-    createSummaryFileWriter(resourceHandle: Tensor, logdir: string, maxQueue?: number, flushMillis?: number, filenameSuffix?: string): void;
-    writeScalarSummary(resourceHandle: Tensor, step: number, name: string, value: Scalar | number): void;
-    flushSummaryWriter(resourceHandle: Tensor): void;
-    memory(): {
-        unreliable: boolean;
-    };
-    time(f: () => void): Promise<BackendTimingInfo>;
-    getNumOfSavedModels(): number;
-}
-/** Returns an instance of the Node.js backend. */
-export declare function nodeBackend(): NodeJSKernelBackend;
-/** Returns the TF dtype for a given DataType. */
-export declare function getTFDType(dataType: tf.DataType): number;
-/**
- * Creates a TFEOpAttr for a 'type' OpDef attribute from a Tensor or list of
- * Tensors.
- */
-export declare function createTensorsTypeOpAttr(attrName: string, tensorsOrDtype: tf.Tensor | tf.Tensor[] | tf.DataType): TFEOpAttr;
-export declare function createOpAttr(attrName: string, tensorsOrDtype: tf.Tensor | tf.Tensor[] | tf.DataType, value: ScalarLike): TFEOpAttr;
-export declare function ensureTensorflowBackend(): void;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend.js
deleted file mode 100644
index 4a7966086..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend.js
+++ /dev/null
@@ -1,600 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-var __extends = (this && this.__extends) || (function () {
-    var extendStatics = function (d, b) {
-        extendStatics = Object.setPrototypeOf ||
-            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||
-            function (d, b) { for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; };
-        return extendStatics(d, b);
-    };
-    return function (d, b) {
-        extendStatics(d, b);
-        function __() { this.constructor = d; }
-        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());
-    };
-})();
-var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
-    return new (P || (P = Promise))(function (resolve, reject) {
-        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
-        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
-        step((generator = generator.apply(thisArg, _arguments || [])).next());
-    });
-};
-var __generator = (this && this.__generator) || function (thisArg, body) {
-    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
-    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
-    function verb(n) { return function (v) { return step([n, v]); }; }
-    function step(op) {
-        if (f) throw new TypeError("Generator is already executing.");
-        while (_) try {
-            if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
-            if (y = 0, t) op = [op[0] & 2, t.value];
-            switch (op[0]) {
-                case 0: case 1: t = op; break;
-                case 4: _.label++; return { value: op[1], done: false };
-                case 5: _.label++; y = op[1]; op = [0]; continue;
-                case 7: op = _.ops.pop(); _.trys.pop(); continue;
-                default:
-                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
-                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
-                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
-                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
-                    if (t[2]) _.ops.pop();
-                    _.trys.pop(); continue;
-            }
-            op = body.call(thisArg, _);
-        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
-        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
-    }
-};
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs");
-var tfjs_1 = require("@tensorflow/tfjs");
-var util_1 = require("util");
-var int64_tensors_1 = require("./int64_tensors");
-var NodeJSKernelBackend = /** @class */ (function (_super) {
-    __extends(NodeJSKernelBackend, _super);
-    function NodeJSKernelBackend(binding, packageName) {
-        var _this = _super.call(this) || this;
-        _this.binding = binding;
-        _this.isGPUPackage = packageName === '@tensorflow/tfjs-node-gpu';
-        _this.isUsingGpuDevice = _this.binding.isUsingGpuDevice();
-        _this.tensorMap = new tf.DataStorage(_this, tf.engine());
-        return _this;
-    }
-    NodeJSKernelBackend.prototype.getDTypeInteger = function (dtype) {
-        switch (dtype) {
-            case 'float32':
-                return this.binding.TF_FLOAT;
-            case 'int32':
-                return this.binding.TF_INT32;
-            case 'bool':
-                return this.binding.TF_BOOL;
-            case 'complex64':
-                return this.binding.TF_COMPLEX64;
-            case 'string':
-                return this.binding.TF_STRING;
-            default:
-                throw new Error("Unsupported DType: " + dtype);
-        }
-    };
-    NodeJSKernelBackend.prototype.typeAttributeFromTensor = function (value) {
-        return this.getDTypeInteger(value.dtype);
-    };
-    // Creates a new Tensor and maps the dataId to the passed in ID.
-    NodeJSKernelBackend.prototype.createOutputTensor = function (metadata) {
-        var newId = {};
-        this.tensorMap.set(newId, {
-            shape: metadata.shape,
-            dtype: metadata.dtype,
-            id: metadata.id,
-            values: null,
-            refCount: 1
-        });
-        var dtype;
-        switch (metadata.dtype) {
-            case this.binding.TF_FLOAT:
-                dtype = 'float32';
-                break;
-            case this.binding.TF_INT32:
-                dtype = 'int32';
-                break;
-            case this.binding.TF_INT64:
-                console.warn('INT64 output tensor will be stored as BigInt64Array.');
-                // INT64 is not supported in TFJS yet, cast it to int32.
-                dtype = 'int32';
-                break;
-            case this.binding.TF_BOOL:
-                dtype = 'bool';
-                break;
-            case this.binding.TF_COMPLEX64:
-                dtype = 'complex64';
-                break;
-            case this.binding.TF_STRING:
-                dtype = 'string';
-                break;
-            case this.binding.TF_RESOURCE:
-                // NOTE(cais): We currently represent resource-type Tensors
-                // as string of ubytes.
-                dtype = 'string';
-                break;
-            case this.binding.TF_UINT8:
-                // TensorFlow uses UINT8 as dtype for image tensor. UINT8 is not
-                // supported in TFJS yet, cast it to int32.
-                dtype = 'int32';
-                break;
-            default:
-                throw new Error("Unknown dtype enum " + metadata.dtype);
-        }
-        // TODO(yassogba) Enable this once all the kernels are removed from backend.
-        // We can then change the return type from Tensor to TensorInfo.
-        // return {dataId: newId, shape: metadata.shape, dtype};
-        return tf.engine().makeTensorFromDataId(newId, metadata.shape, dtype);
-    };
-    // Prepares Tensor instances for Op execution.
-    NodeJSKernelBackend.prototype.getInputTensorIds = function (tensors) {
-        var ids = [];
-        for (var i = 0; i < tensors.length; i++) {
-            if (tensors[i] instanceof int64_tensors_1.Int64Scalar) {
-                // Then `tensors[i]` is a Int64Scalar, which we currently represent
-                // using an `Int32Array`.
-                var value = tensors[i].valueArray;
-                var id = this.binding.createTensor([], this.binding.TF_INT64, value);
-                ids.push(id);
-            }
-            else {
-                var info = this.tensorMap.get(tensors[i].dataId);
-                // TODO - what about ID in this case? Handle in write()??
-                if (info.values != null) {
-                    // Values were delayed to write into the TensorHandle. Do that before
-                    // Op execution and clear stored values.
-                    info.id =
-                        this.binding.createTensor(info.shape, info.dtype, info.values);
-                    info.values = null;
-                }
-                ids.push(info.id);
-            }
-        }
-        return ids;
-    };
-    NodeJSKernelBackend.prototype.createReductionOpAttrs = function (tensor, keepDims) {
-        if (keepDims === void 0) { keepDims = false; }
-        return [
-            { name: 'keep_dims', type: this.binding.TF_ATTR_BOOL, value: keepDims },
-            createTensorsTypeOpAttr('T', tensor.dtype),
-            createTensorsTypeOpAttr('Tidx', 'int32')
-        ];
-    };
-    NodeJSKernelBackend.prototype.floatPrecision = function () {
-        return 32;
-    };
-    NodeJSKernelBackend.prototype.epsilon = function () {
-        return _super.prototype.epsilon.call(this);
-    };
-    /**
-     * Executes an op that has a single input and output.
-     *
-     * Helper function to wrap executeSingleOutput in a particular case.
-     * @param name The name of the Op to execute.
-     * @param input The input Tensor for the Op.
-     */
-    NodeJSKernelBackend.prototype.executeSingleInput = function (name, input) {
-        var opAttrs = [createTensorsTypeOpAttr('T', input.dtype)];
-        return this.executeSingleOutput(name, opAttrs, [input]);
-    };
-    /**
-     * Executes a TensorFlow Eager Op that provides one output Tensor.
-     * @param name The name of the Op to execute.
-     * @param opAttrs The list of Op attributes required to execute.
-     * @param inputs The list of input Tensors for the Op.
-     * @return A resulting Tensor from Op execution.
-     */
-    NodeJSKernelBackend.prototype.executeSingleOutput = function (name, opAttrs, inputs) {
-        var outputMetadata = this.binding.executeOp(name, opAttrs, this.getInputTensorIds(inputs), 1);
-        return this.createOutputTensor(outputMetadata[0]);
-    };
-    /**
-     * Executes a TensorFlow Eager Op that provides multiple output Tensors.
-     * @param name The name of the Op to execute.
-     * @param opAttrs The list of Op attributes required to execute.
-     * @param inputs The list of input Tensors for the Op.
-     * @param numOutputs The number of output Tensors for Op execution.
-     * @return A resulting Tensor array from Op execution.
-     */
-    NodeJSKernelBackend.prototype.executeMultipleOutputs = function (name, opAttrs, inputs, numOutputs) {
-        var _this = this;
-        var outputMetadata = this.binding.executeOp(name, opAttrs, this.getInputTensorIds(inputs), numOutputs);
-        return outputMetadata.map(function (m) { return _this.createOutputTensor(m); });
-    };
-    NodeJSKernelBackend.prototype.numDataIds = function () {
-        return this.tensorMap.numDataIds();
-    };
-    NodeJSKernelBackend.prototype.dispose = function () { };
-    NodeJSKernelBackend.prototype.read = function (dataId) {
-        return __awaiter(this, void 0, void 0, function () {
-            return __generator(this, function (_a) {
-                return [2 /*return*/, this.readSync(dataId)];
-            });
-        });
-    };
-    NodeJSKernelBackend.prototype.readSync = function (dataId) {
-        if (!this.tensorMap.has(dataId)) {
-            throw new Error("Tensor " + dataId + " was not registered!");
-        }
-        var info = this.tensorMap.get(dataId);
-        if (info.values != null) {
-            return info.values;
-        }
-        else {
-            return this.binding.tensorDataSync(info.id);
-        }
-    };
-    /**
-     * Dispose the memory if the dataId has 0 refCount. Return true if the memory
-     * is released, false otherwise.
-     * @param dataId
-     * @oaram force Optional, remove the data regardless of refCount
-     */
-    NodeJSKernelBackend.prototype.disposeData = function (dataId, force) {
-        if (force === void 0) { force = false; }
-        // No-op if already disposed.
-        if (this.tensorMap.has(dataId)) {
-            var id = this.tensorMap.get(dataId).id;
-            this.tensorMap.get(dataId).refCount--;
-            if (!force && this.tensorMap.get(dataId).refCount > 0) {
-                return false;
-            }
-            if (id != null && id >= 0) {
-                this.binding.deleteTensor(id);
-            }
-            this.tensorMap.delete(dataId);
-        }
-        return true;
-    };
-    /** Return refCount of a `TensorData`. */
-    NodeJSKernelBackend.prototype.refCount = function (dataId) {
-        if (this.tensorMap.has(dataId)) {
-            var tensorData = this.tensorMap.get(dataId);
-            return tensorData.refCount;
-        }
-        return 0;
-    };
-    NodeJSKernelBackend.prototype.incRef = function (dataId) {
-        this.tensorMap.get(dataId).refCount++;
-    };
-    NodeJSKernelBackend.prototype.move = function (dataId, values, shape, dtype, refCount) {
-        this.tensorMap.set(dataId, { shape: shape, dtype: getTFDType(dtype), values: values, id: -1, refCount: refCount });
-    };
-    NodeJSKernelBackend.prototype.write = function (values, shape, dtype) {
-        var dataId = {};
-        this.move(dataId, values, shape, dtype, 1);
-        return dataId;
-    };
-    NodeJSKernelBackend.prototype.applyActivation = function (input, activation, preluActivationWeights, leakyreluAlpha) {
-        var result = input;
-        if (activation != null) {
-            if (activation === 'linear') {
-                // No-op
-            }
-            else if (activation === 'relu') {
-                result = tf.relu(result);
-            }
-            else if (activation === 'prelu') {
-                result = tf.prelu(result, preluActivationWeights);
-            }
-            else if (activation === 'leakyrelu') {
-                result = tf.leakyRelu(result, leakyreluAlpha);
-            }
-            else if (activation === 'elu') {
-                result = tf.elu(result);
-            }
-            else if (activation === 'relu6') {
-                result = tf.relu6(result);
-            }
-            else if (activation === 'sigmoid') {
-                result = tf.sigmoid(result);
-            }
-            else {
-                throw new Error("Activation: " + activation + " has not been implemented for the Node.js backend");
-            }
-        }
-        return result;
-    };
-    NodeJSKernelBackend.prototype.divide = function (a, b) {
-        var opAttrs = [createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return this.executeSingleOutput('Div', opAttrs, [a, b]);
-    };
-    NodeJSKernelBackend.prototype.divNoNan = function (a, b) {
-        var opAttrs = [createTensorsTypeOpAttr('T', tfjs_1.backend_util.upcastType(a.dtype, b.dtype))];
-        return this.executeSingleOutput('DivNoNan', opAttrs, [a, b]);
-    };
-    NodeJSKernelBackend.prototype.where = function (condition) {
-        return this.executeSingleOutput('Where', [], [condition]);
-    };
-    NodeJSKernelBackend.prototype.topKValues = function (x, k) {
-        throw new Error('Method not implemented.');
-    };
-    NodeJSKernelBackend.prototype.topKIndices = function (x, k) {
-        throw new Error('Method not implemented.');
-    };
-    NodeJSKernelBackend.prototype.int = function (x) {
-        throw new Error('Method not implemented.');
-    };
-    NodeJSKernelBackend.prototype.decodeJpeg = function (contents, channels, ratio, fancyUpscaling, tryRecoverTruncated, acceptableFraction, dctMethod) {
-        var opAttrs = [
-            { name: 'channels', type: this.binding.TF_ATTR_INT, value: channels },
-            { name: 'ratio', type: this.binding.TF_ATTR_INT, value: ratio }, {
-                name: 'fancy_upscaling',
-                type: this.binding.TF_ATTR_BOOL,
-                value: fancyUpscaling
-            },
-            {
-                name: 'try_recover_truncated',
-                type: this.binding.TF_ATTR_BOOL,
-                value: tryRecoverTruncated
-            },
-            {
-                name: 'acceptable_fraction',
-                type: this.binding.TF_ATTR_FLOAT,
-                value: acceptableFraction
-            },
-            { name: 'dct_method', type: this.binding.TF_ATTR_STRING, value: dctMethod }
-        ];
-        var inputArgs = [tfjs_1.scalar(contents, 'string')];
-        return this.executeSingleOutput('DecodeJpeg', opAttrs, inputArgs);
-    };
-    NodeJSKernelBackend.prototype.decodePng = function (contents, channels) {
-        var opAttrs = [{ name: 'channels', type: this.binding.TF_ATTR_INT, value: channels }];
-        var inputArgs = [tfjs_1.scalar(contents, 'string')];
-        return this.executeSingleOutput('DecodePng', opAttrs, inputArgs);
-    };
-    NodeJSKernelBackend.prototype.decodeBmp = function (contents, channels) {
-        var opAttrs = [{ name: 'channels', type: this.binding.TF_ATTR_INT, value: channels }];
-        var inputArgs = [tfjs_1.scalar(contents, 'string')];
-        return this.executeSingleOutput('DecodeBmp', opAttrs, inputArgs);
-    };
-    NodeJSKernelBackend.prototype.decodeGif = function (contents) {
-        var inputArgs = [tfjs_1.scalar(contents, 'string')];
-        return this.executeSingleOutput('DecodeGif', [], inputArgs);
-    };
-    NodeJSKernelBackend.prototype.executeEncodeImageOp = function (name, opAttrs, imageData, imageShape) {
-        var inputTensorId = this.binding.createTensor(imageShape, this.binding.TF_UINT8, imageData);
-        var outputMetadata = this.binding.executeOp(name, opAttrs, [inputTensorId], 1);
-        var outputTensorInfo = outputMetadata[0];
-        // prevent the tensor data from being converted to a UTF8 string, since
-        // the encoded data is not valid UTF8
-        outputTensorInfo.dtype = this.binding.TF_UINT8;
-        return this.createOutputTensor(outputTensorInfo);
-    };
-    NodeJSKernelBackend.prototype.encodeJpeg = function (imageData, imageShape, format, quality, progressive, optimizeSize, chromaDownsampling, densityUnit, xDensity, yDensity, xmpMetadata) {
-        var opAttrs = [
-            { name: 'format', type: this.binding.TF_ATTR_STRING, value: format },
-            { name: 'quality', type: this.binding.TF_ATTR_INT, value: quality }, {
-                name: 'progressive',
-                type: this.binding.TF_ATTR_BOOL,
-                value: progressive
-            },
-            {
-                name: 'optimize_size',
-                type: this.binding.TF_ATTR_BOOL,
-                value: optimizeSize
-            },
-            {
-                name: 'chroma_downsampling',
-                type: this.binding.TF_ATTR_BOOL,
-                value: chromaDownsampling
-            },
-            {
-                name: 'density_unit',
-                type: this.binding.TF_ATTR_STRING,
-                value: densityUnit
-            },
-            { name: 'x_density', type: this.binding.TF_ATTR_INT, value: xDensity },
-            { name: 'y_density', type: this.binding.TF_ATTR_INT, value: yDensity }, {
-                name: 'xmp_metadata',
-                type: this.binding.TF_ATTR_STRING,
-                value: xmpMetadata
-            }
-        ];
-        return this.executeEncodeImageOp('EncodeJpeg', opAttrs, imageData, imageShape);
-    };
-    NodeJSKernelBackend.prototype.encodePng = function (imageData, imageShape, compression) {
-        var opAttrs = [
-            { name: 'compression', type: this.binding.TF_ATTR_INT, value: compression }
-        ];
-        return this.executeEncodeImageOp('EncodePng', opAttrs, imageData, imageShape);
-    };
-    NodeJSKernelBackend.prototype.deleteSavedModel = function (id) {
-        this.binding.deleteSavedModel(id);
-    };
-    NodeJSKernelBackend.prototype.loadSavedModelMetaGraph = function (path, tags) {
-        return this.binding.loadSavedModel(path, tags);
-    };
-    NodeJSKernelBackend.prototype.getMappedInputTensorIds = function (inputs, inputTensorInfos) {
-        var tensorIds = this.getInputTensorIds(inputs);
-        for (var i = 0; i < inputs.length; i++) {
-            if (inputTensorInfos[i] != null) {
-                if (inputTensorInfos[i].tfDtype === 'DT_UINT8') {
-                    var data = Uint8Array.from(inputs[i].dataSync());
-                    var inputTensorId = this.binding.createTensor(inputs[i].shape, this.binding.TF_UINT8, data);
-                    tensorIds[i] = inputTensorId;
-                }
-                else if (inputTensorInfos[i].tfDtype === 'DT_INT64') {
-                    var data = int64_tensors_1.encodeInt32ArrayAsInt64(inputs[i].dataSync());
-                    var inputTensorId = this.binding.createTensor(inputs[i].shape, this.binding.TF_INT64, data);
-                    tensorIds[i] = inputTensorId;
-                }
-            }
-        }
-        return tensorIds;
-    };
-    NodeJSKernelBackend.prototype.runSavedModel = function (id, inputs, inputTensorInfos, outputOpNames) {
-        var _this = this;
-        var outputMetadata = this.binding.runSavedModel(id, this.getMappedInputTensorIds(inputs, inputTensorInfos), inputTensorInfos.map(function (info) { return info.name; }).join(','), outputOpNames.join(','));
-        return outputMetadata.map(function (m) { return _this.createOutputTensor(m); });
-    };
-    // ------------------------------------------------------------
-    // TensorBoard-related (tfjs-node-specific) backend kernels.
-    NodeJSKernelBackend.prototype.summaryWriter = function (logdir) {
-        var opAttrs = [
-            {
-                name: 'shared_name',
-                type: this.binding.TF_ATTR_STRING,
-                value: "logdir:" + logdir
-            },
-            { name: 'container', type: this.binding.TF_ATTR_STRING, value: '' }
-        ];
-        var writerResource = this.executeSingleOutput('SummaryWriter', opAttrs, []);
-        return writerResource;
-    };
-    NodeJSKernelBackend.prototype.createSummaryFileWriter = function (resourceHandle, logdir, maxQueue, flushMillis, filenameSuffix) {
-        var inputArgs = [
-            resourceHandle, tfjs_1.scalar(logdir),
-            tfjs_1.scalar(maxQueue == null ? 10 : maxQueue, 'int32'),
-            tfjs_1.scalar(flushMillis == null ? 2 * 60 * 1000 : flushMillis, 'int32'),
-            tfjs_1.scalar(filenameSuffix == null ? '.v2' : filenameSuffix)
-        ];
-        this.executeMultipleOutputs('CreateSummaryFileWriter', [], inputArgs, 0);
-    };
-    NodeJSKernelBackend.prototype.writeScalarSummary = function (resourceHandle, step, name, value) {
-        var _this = this;
-        tfjs_1.tidy(function () {
-            tfjs_1.util.assert(Number.isInteger(step), function () { return "step is expected to be an integer, but is instead " + step; });
-            var inputArgs = [resourceHandle, new int64_tensors_1.Int64Scalar(step), tfjs_1.scalar(name, 'string')];
-            var typeAttr;
-            if (typeof value === 'number') {
-                inputArgs.push(tfjs_1.scalar(value));
-                typeAttr = _this.binding.TF_FLOAT;
-            }
-            else {
-                // `value` is a Scalar.
-                tfjs_1.util.assert(value.rank === 0, function () { return "A non-scalar tensor (rank " + value.rank + ") is passed to " +
-                    "writeScalarSummary()"; });
-                inputArgs.push(value);
-                typeAttr = _this.typeAttributeFromTensor(value);
-            }
-            var opAttrs = [{ name: 'T', type: _this.binding.TF_ATTR_TYPE, value: typeAttr }];
-            _this.binding.executeOp('WriteScalarSummary', opAttrs, _this.getInputTensorIds(inputArgs), 0);
-        });
-    };
-    NodeJSKernelBackend.prototype.flushSummaryWriter = function (resourceHandle) {
-        var inputArgs = [resourceHandle];
-        this.executeMultipleOutputs('FlushSummaryWriter', [], inputArgs, 0);
-    };
-    // ~ TensorBoard-related (tfjs-node-specific) backend kernels.
-    // ------------------------------------------------------------
-    NodeJSKernelBackend.prototype.memory = function () {
-        // Due to automatic garbage collection, the numbers are unreliable.
-        // TODO(kreeger): Since there is finalization in C, count the true
-        // number of undisposed tensors.
-        return { unreliable: true };
-    };
-    NodeJSKernelBackend.prototype.time = function (f) {
-        return __awaiter(this, void 0, void 0, function () {
-            var start, elapsed;
-            return __generator(this, function (_a) {
-                start = process.hrtime();
-                f();
-                elapsed = process.hrtime(start);
-                return [2 /*return*/, { kernelMs: elapsed[0] * 1000 + elapsed[1] / 1000000 }];
-            });
-        });
-    };
-    NodeJSKernelBackend.prototype.getNumOfSavedModels = function () {
-        return this.binding.getNumOfSavedModels();
-    };
-    return NodeJSKernelBackend;
-}(tfjs_1.KernelBackend));
-exports.NodeJSKernelBackend = NodeJSKernelBackend;
-/** Returns an instance of the Node.js backend. */
-function nodeBackend() {
-    return tf.findBackend('tensorflow');
-}
-exports.nodeBackend = nodeBackend;
-/** Returns the TF dtype for a given DataType. */
-function getTFDType(dataType) {
-    var binding = nodeBackend().binding;
-    switch (dataType) {
-        case 'float32':
-            return binding.TF_FLOAT;
-        case 'int32':
-            return binding.TF_INT32;
-        case 'bool':
-            return binding.TF_BOOL;
-        case 'complex64':
-            return binding.TF_COMPLEX64;
-        case 'string':
-            return binding.TF_STRING;
-        // tslint:disable-next-line:no-any
-        case 'int64':
-            // int64 is not a generally supported dtype in TensorFlow.js
-            // (tfjs-core). However, it needs to be included here for the purpose of
-            // writing the `step` value to TensorBoard via WriteScalarSummary and
-            // other op kernels.
-            return binding.TF_INT64;
-        default:
-            var errorMessage = "Unknown dtype: " + dataType;
-            throw new Error(errorMessage);
-    }
-}
-exports.getTFDType = getTFDType;
-/**
- * Creates a TFEOpAttr for a 'type' OpDef attribute from a Tensor or list of
- * Tensors.
- */
-function createTensorsTypeOpAttr(attrName, tensorsOrDtype) {
-    if (util_1.isNullOrUndefined(tensorsOrDtype)) {
-        throw new Error('Invalid input tensors value.');
-    }
-    return {
-        name: attrName,
-        type: nodeBackend().binding.TF_ATTR_TYPE,
-        value: (tensorsOrDtype instanceof tf.Tensor || Array.isArray(tensorsOrDtype)) ?
-            getTFDTypeForInputs(tensorsOrDtype) :
-            getTFDType(tensorsOrDtype)
-    };
-}
-exports.createTensorsTypeOpAttr = createTensorsTypeOpAttr;
-// TODO(yassogba) remove? who uses this?
-function createOpAttr(attrName, tensorsOrDtype, value) {
-    if (util_1.isNullOrUndefined(tensorsOrDtype)) {
-        throw new Error('Invalid input tensors value.');
-    }
-    return { name: attrName, type: nodeBackend().binding.TF_BOOL, value: value };
-}
-exports.createOpAttr = createOpAttr;
-/** Returns the dtype number for a single or list of input Tensors. */
-function getTFDTypeForInputs(tensors) {
-    if (util_1.isNullOrUndefined(tensors)) {
-        throw new Error('Invalid input tensors value.');
-    }
-    if (util_1.isArray(tensors)) {
-        for (var i = 0; i < tensors.length; i++) {
-            return getTFDType(tensors[i].dtype);
-        }
-        return -1;
-    }
-    else {
-        return getTFDType(tensors.dtype);
-    }
-}
-function ensureTensorflowBackend() {
-    tf.util.assert(tf.getBackend() === 'tensorflow', function () { return "Expect the current backend to be \"tensorflow\", but got \"" + tf.getBackend() + "\""; });
-}
-exports.ensureTensorflowBackend = ensureTensorflowBackend;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend_test.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend_test.d.ts
deleted file mode 100644
index 4a6d69728..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend_test.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-export {};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend_test.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend_test.js
deleted file mode 100644
index a3f0ea1f1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/nodejs_kernel_backend_test.js
+++ /dev/null
@@ -1,188 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
-    return new (P || (P = Promise))(function (resolve, reject) {
-        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
-        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
-        step((generator = generator.apply(thisArg, _arguments || [])).next());
-    });
-};
-var __generator = (this && this.__generator) || function (thisArg, body) {
-    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
-    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
-    function verb(n) { return function (v) { return step([n, v]); }; }
-    function step(op) {
-        if (f) throw new TypeError("Generator is already executing.");
-        while (_) try {
-            if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
-            if (y = 0, t) op = [op[0] & 2, t.value];
-            switch (op[0]) {
-                case 0: case 1: t = op; break;
-                case 4: _.label++; return { value: op[1], done: false };
-                case 5: _.label++; y = op[1]; op = [0]; continue;
-                case 7: op = _.ops.pop(); _.trys.pop(); continue;
-                default:
-                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
-                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
-                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
-                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
-                    if (t[2]) _.ops.pop();
-                    _.trys.pop(); continue;
-            }
-            op = body.call(thisArg, _);
-        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
-        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
-    }
-};
-var _this = this;
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs");
-// tslint:disable-next-line: no-imports-from-dist
-var jasmine_util_1 = require("@tensorflow/tfjs-core/dist/jasmine_util");
-var nodejs_kernel_backend_1 = require("./nodejs_kernel_backend");
-describe('delayed upload', function () {
-    it('should handle data before op execution', function () { return __awaiter(_this, void 0, void 0, function () {
-        var t, _a, _b, r, _c, _d;
-        return __generator(this, function (_e) {
-            switch (_e.label) {
-                case 0:
-                    t = tf.tensor1d([1, 2, 3]);
-                    _b = (_a = tf.test_util).expectArraysClose;
-                    return [4 /*yield*/, t.data()];
-                case 1:
-                    _b.apply(_a, [_e.sent(), [1, 2, 3]]);
-                    r = t.add(tf.tensor1d([4, 5, 6]));
-                    _d = (_c = tf.test_util).expectArraysClose;
-                    return [4 /*yield*/, r.data()];
-                case 2:
-                    _d.apply(_c, [_e.sent(), [5, 7, 9]]);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('Should not cache tensors in the tensor map for device support. ', function () {
-        var logits = tf.tensor1d([1, 2, 3]);
-        var softmaxLogits = tf.softmax(logits);
-        var data = softmaxLogits.dataSync();
-        expect(softmaxLogits.dataSync()[0]).toEqual(data[0]);
-        expect(softmaxLogits.dataSync()[1]).toEqual(data[1]);
-        expect(softmaxLogits.dataSync()[2]).toEqual(data[2]);
-    });
-});
-describe('type casting', function () {
-    it('exp support int32', function () {
-        tf.exp(tf.scalar(2, 'int32'));
-    });
-});
-describe('conv3d dilations', function () {
-    it('CPU should throw error on dilations >1', function () {
-        var input = tf.ones([1, 2, 2, 2, 1]);
-        var filter = tf.ones([1, 1, 1, 1, 1]);
-        expect(function () {
-            tf.conv3d(input, filter, 1, 'same', 'NDHWC', [2, 2, 2]);
-        }).toThrowError();
-    });
-    it('GPU should handle dilations >1', function () {
-        // This test can only run locally with CUDA bindings and GPU package
-        // installed.
-        if (tf.backend().isUsingGpuDevice) {
-            var input = tf.ones([1, 2, 2, 2, 1]);
-            var filter = tf.ones([1, 1, 1, 1, 1]);
-            tf.conv3d(input, filter, 1, 'same', 'NDHWC', [2, 2, 2]);
-        }
-    });
-});
-describe('Exposes Backend for internal Op execution.', function () {
-    it('Provides the Node backend over a function', function () {
-        var backend = nodejs_kernel_backend_1.nodeBackend();
-        expect(backend instanceof nodejs_kernel_backend_1.NodeJSKernelBackend).toBeTruthy();
-    });
-    it('Provides internal access to the binding', function () {
-        expect(nodejs_kernel_backend_1.nodeBackend().binding).toBeDefined();
-    });
-    it('throw error if backend is not tensorflow', function (done) { return __awaiter(_this, void 0, void 0, function () {
-        var testBackend_1;
-        return __generator(this, function (_a) {
-            try {
-                testBackend_1 = new jasmine_util_1.TestKernelBackend();
-                tf.registerBackend('fake', function () { return testBackend_1; });
-                tf.setBackend('fake');
-                nodejs_kernel_backend_1.ensureTensorflowBackend();
-                done.fail();
-            }
-            catch (err) {
-                expect(err.message)
-                    .toBe('Expect the current backend to be "tensorflow", but got "fake"');
-                tf.setBackend('tensorflow');
-                done();
-            }
-            return [2 /*return*/];
-        });
-    }); });
-});
-describe('getTFDType()', function () {
-    var binding = nodejs_kernel_backend_1.nodeBackend().binding;
-    it('handles float32', function () {
-        expect(nodejs_kernel_backend_1.getTFDType('float32')).toBe(binding.TF_FLOAT);
-    });
-    it('handles int32', function () {
-        expect(nodejs_kernel_backend_1.getTFDType('int32')).toBe(binding.TF_INT32);
-    });
-    it('handles bool', function () {
-        expect(nodejs_kernel_backend_1.getTFDType('bool')).toBe(binding.TF_BOOL);
-    });
-    it('handles unknown types', function () {
-        expect(function () { return nodejs_kernel_backend_1.getTFDType(null); }).toThrowError();
-    });
-});
-describe('createTypeOpAttr()', function () {
-    var binding = nodejs_kernel_backend_1.nodeBackend().binding;
-    it('Creates a valid type attribute', function () {
-        var attr = nodejs_kernel_backend_1.createTensorsTypeOpAttr('foo', 'float32');
-        expect(attr.name).toBe('foo');
-        expect(attr.type).toBe(binding.TF_ATTR_TYPE);
-        expect(attr.value).toBe(binding.TF_FLOAT);
-    });
-    it('handles unknown dtypes', function () {
-        expect(function () { return nodejs_kernel_backend_1.createTensorsTypeOpAttr('foo', null); }).toThrowError();
-    });
-});
-describe('Returns TFEOpAttr for a Tensor or list of Tensors', function () {
-    var binding = nodejs_kernel_backend_1.nodeBackend().binding;
-    it('handles a single Tensor', function () {
-        var result = nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tf.scalar(13, 'float32'));
-        expect(result.name).toBe('T');
-        expect(result.type).toBe(binding.TF_ATTR_TYPE);
-        expect(result.value).toBe(binding.TF_FLOAT);
-    });
-    it('handles a list of Tensors', function () {
-        var tensors = [tf.scalar(1, 'int32'), tf.scalar(20.1, 'float32')];
-        var result = nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', tensors);
-        expect(result.name).toBe('T');
-        expect(result.type).toBe(binding.TF_ATTR_TYPE);
-        expect(result.value).toBe(binding.TF_INT32);
-    });
-    it('handles null', function () {
-        expect(function () { return nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', null); }).toThrowError();
-    });
-    it('handles list of null', function () {
-        var inputs = [null, null];
-        expect(function () { return nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', inputs); }).toThrowError();
-    });
-});
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/proto/api_pb.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/proto/api_pb.js
deleted file mode 100644
index 7088a13a2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/proto/api_pb.js
+++ /dev/null
@@ -1,9136 +0,0 @@
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- * @enhanceable
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- * @return {string}
- */
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-/**
- * optional bytes tensor_content = 4;
- * Note that Uint8Array is not supported on all browsers.
- * @see http://caniuse.com/Uint8Array
- * This is a type-conversion wrapper around `getTensorContent()`
- * @return {!Uint8Array}
- */
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-      this.getTensorContent()));
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-/**
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-  return proto.tensorflow.AttrValue.toObject(opt_includeInstance, this);
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-/**
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- *     the JSPB instance for transitional soy proto support:
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-/**
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-
-
-/**
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- * @private {!Array<number>}
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-
-
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-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.AttrValue.ListValue.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.AttrValue.ListValue.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.AttrValue.ListValue} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
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-  var reader = new jspb.BinaryReader(bytes);
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-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
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- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
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- */
-proto.tensorflow.AttrValue.ListValue.deserializeBinaryFromReader = function(msg, reader) {
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-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
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- * @param {!proto.tensorflow.AttrValue.ListValue} message
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-/**
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-
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-
-/**
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-  this.setFList([]);
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-
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- */
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-
-
-/**
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-  this.setBList([]);
-};
-
-
-/**
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-  jspb.Message.setField(this, 6, value || []);
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-
-
-/**
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-  jspb.Message.addToRepeatedField(this, 6, value, opt_index);
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-
-/**
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-  this.setTypeList([]);
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-
-
-/**
- * repeated TensorShape shape = 7;
- * @return {!Array<!proto.tensorflow.TensorShape>}
- */
-proto.tensorflow.AttrValue.ListValue.prototype.getShapeList = function() {
-  return /** @type{!Array<!proto.tensorflow.TensorShape>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.TensorShape, 7));
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-
-
-/** @param {!Array<!proto.tensorflow.TensorShape>} value */
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-  jspb.Message.setRepeatedWrapperField(this, 7, value);
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-
-/**
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- * @return {!proto.tensorflow.TensorShape}
- */
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-  return jspb.Message.addToRepeatedWrapperField(this, 7, opt_value, proto.tensorflow.TensorShape, opt_index);
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-
-
-/**
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- */
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-  this.setShapeList([]);
-};
-
-
-/**
- * repeated Tensor tensor = 8;
- * @return {!Array<!proto.tensorflow.Tensor>}
- */
-proto.tensorflow.AttrValue.ListValue.prototype.getTensorList = function() {
-  return /** @type{!Array<!proto.tensorflow.Tensor>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.Tensor, 8));
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-
-
-/** @param {!Array<!proto.tensorflow.Tensor>} value */
-proto.tensorflow.AttrValue.ListValue.prototype.setTensorList = function(value) {
-  jspb.Message.setRepeatedWrapperField(this, 8, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.Tensor=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.Tensor}
- */
-proto.tensorflow.AttrValue.ListValue.prototype.addTensor = function(opt_value, opt_index) {
-  return jspb.Message.addToRepeatedWrapperField(this, 8, opt_value, proto.tensorflow.Tensor, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.AttrValue.ListValue.prototype.clearTensorList = function() {
-  this.setTensorList([]);
-};
-
-
-/**
- * repeated NameAttrList func = 9;
- * @return {!Array<!proto.tensorflow.NameAttrList>}
- */
-proto.tensorflow.AttrValue.ListValue.prototype.getFuncList = function() {
-  return /** @type{!Array<!proto.tensorflow.NameAttrList>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.NameAttrList, 9));
-};
-
-
-/** @param {!Array<!proto.tensorflow.NameAttrList>} value */
-proto.tensorflow.AttrValue.ListValue.prototype.setFuncList = function(value) {
-  jspb.Message.setRepeatedWrapperField(this, 9, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.NameAttrList=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.NameAttrList}
- */
-proto.tensorflow.AttrValue.ListValue.prototype.addFunc = function(opt_value, opt_index) {
-  return jspb.Message.addToRepeatedWrapperField(this, 9, opt_value, proto.tensorflow.NameAttrList, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.AttrValue.ListValue.prototype.clearFuncList = function() {
-  this.setFuncList([]);
-};
-
-
-/**
- * optional ListValue list = 1;
- * @return {?proto.tensorflow.AttrValue.ListValue}
- */
-proto.tensorflow.AttrValue.prototype.getList = function() {
-  return /** @type{?proto.tensorflow.AttrValue.ListValue} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.AttrValue.ListValue, 1));
-};
-
-
-/** @param {?proto.tensorflow.AttrValue.ListValue|undefined} value */
-proto.tensorflow.AttrValue.prototype.setList = function(value) {
-  jspb.Message.setOneofWrapperField(this, 1, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearList = function() {
-  this.setList(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasList = function() {
-  return jspb.Message.getField(this, 1) != null;
-};
-
-
-/**
- * optional bytes s = 2;
- * @return {!(string|Uint8Array)}
- */
-proto.tensorflow.AttrValue.prototype.getS = function() {
-  return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
-};
-
-
-/**
- * optional bytes s = 2;
- * This is a type-conversion wrapper around `getS()`
- * @return {string}
- */
-proto.tensorflow.AttrValue.prototype.getS_asB64 = function() {
-  return /** @type {string} */ (jspb.Message.bytesAsB64(
-      this.getS()));
-};
-
-
-/**
- * optional bytes s = 2;
- * Note that Uint8Array is not supported on all browsers.
- * @see http://caniuse.com/Uint8Array
- * This is a type-conversion wrapper around `getS()`
- * @return {!Uint8Array}
- */
-proto.tensorflow.AttrValue.prototype.getS_asU8 = function() {
-  return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
-      this.getS()));
-};
-
-
-/** @param {!(string|Uint8Array)} value */
-proto.tensorflow.AttrValue.prototype.setS = function(value) {
-  jspb.Message.setOneofField(this, 2, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearS = function() {
-  jspb.Message.setOneofField(this, 2, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasS = function() {
-  return jspb.Message.getField(this, 2) != null;
-};
-
-
-/**
- * optional int64 i = 3;
- * @return {number}
- */
-proto.tensorflow.AttrValue.prototype.getI = function() {
-  return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 3, 0));
-};
-
-
-/** @param {number} value */
-proto.tensorflow.AttrValue.prototype.setI = function(value) {
-  jspb.Message.setOneofField(this, 3, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearI = function() {
-  jspb.Message.setOneofField(this, 3, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasI = function() {
-  return jspb.Message.getField(this, 3) != null;
-};
-
-
-/**
- * optional float f = 4;
- * @return {number}
- */
-proto.tensorflow.AttrValue.prototype.getF = function() {
-  return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 4, 0.0));
-};
-
-
-/** @param {number} value */
-proto.tensorflow.AttrValue.prototype.setF = function(value) {
-  jspb.Message.setOneofField(this, 4, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearF = function() {
-  jspb.Message.setOneofField(this, 4, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasF = function() {
-  return jspb.Message.getField(this, 4) != null;
-};
-
-
-/**
- * optional bool b = 5;
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.getB = function() {
-  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 5, false));
-};
-
-
-/** @param {boolean} value */
-proto.tensorflow.AttrValue.prototype.setB = function(value) {
-  jspb.Message.setOneofField(this, 5, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearB = function() {
-  jspb.Message.setOneofField(this, 5, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasB = function() {
-  return jspb.Message.getField(this, 5) != null;
-};
-
-
-/**
- * optional DataType type = 6;
- * @return {!proto.tensorflow.DataType}
- */
-proto.tensorflow.AttrValue.prototype.getType = function() {
-  return /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getFieldWithDefault(this, 6, 0));
-};
-
-
-/** @param {!proto.tensorflow.DataType} value */
-proto.tensorflow.AttrValue.prototype.setType = function(value) {
-  jspb.Message.setOneofField(this, 6, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearType = function() {
-  jspb.Message.setOneofField(this, 6, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasType = function() {
-  return jspb.Message.getField(this, 6) != null;
-};
-
-
-/**
- * optional TensorShape shape = 7;
- * @return {?proto.tensorflow.TensorShape}
- */
-proto.tensorflow.AttrValue.prototype.getShape = function() {
-  return /** @type{?proto.tensorflow.TensorShape} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.TensorShape, 7));
-};
-
-
-/** @param {?proto.tensorflow.TensorShape|undefined} value */
-proto.tensorflow.AttrValue.prototype.setShape = function(value) {
-  jspb.Message.setOneofWrapperField(this, 7, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearShape = function() {
-  this.setShape(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasShape = function() {
-  return jspb.Message.getField(this, 7) != null;
-};
-
-
-/**
- * optional Tensor tensor = 8;
- * @return {?proto.tensorflow.Tensor}
- */
-proto.tensorflow.AttrValue.prototype.getTensor = function() {
-  return /** @type{?proto.tensorflow.Tensor} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.Tensor, 8));
-};
-
-
-/** @param {?proto.tensorflow.Tensor|undefined} value */
-proto.tensorflow.AttrValue.prototype.setTensor = function(value) {
-  jspb.Message.setOneofWrapperField(this, 8, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearTensor = function() {
-  this.setTensor(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasTensor = function() {
-  return jspb.Message.getField(this, 8) != null;
-};
-
-
-/**
- * optional string placeholder = 9;
- * @return {string}
- */
-proto.tensorflow.AttrValue.prototype.getPlaceholder = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 9, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.AttrValue.prototype.setPlaceholder = function(value) {
-  jspb.Message.setOneofField(this, 9, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearPlaceholder = function() {
-  jspb.Message.setOneofField(this, 9, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasPlaceholder = function() {
-  return jspb.Message.getField(this, 9) != null;
-};
-
-
-/**
- * optional NameAttrList func = 10;
- * @return {?proto.tensorflow.NameAttrList}
- */
-proto.tensorflow.AttrValue.prototype.getFunc = function() {
-  return /** @type{?proto.tensorflow.NameAttrList} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.NameAttrList, 10));
-};
-
-
-/** @param {?proto.tensorflow.NameAttrList|undefined} value */
-proto.tensorflow.AttrValue.prototype.setFunc = function(value) {
-  jspb.Message.setOneofWrapperField(this, 10, proto.tensorflow.AttrValue.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.AttrValue.prototype.clearFunc = function() {
-  this.setFunc(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AttrValue.prototype.hasFunc = function() {
-  return jspb.Message.getField(this, 10) != null;
-};
-
-
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.NameAttrList.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.NameAttrList.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.NameAttrList} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.NameAttrList.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    name: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    attrMap: (f = msg.getAttrMap()) ? f.toObject(includeInstance, proto.tensorflow.AttrValue.toObject) : []
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.NameAttrList}
- */
-proto.tensorflow.NameAttrList.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.NameAttrList;
-  return proto.tensorflow.NameAttrList.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.NameAttrList} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.NameAttrList}
- */
-proto.tensorflow.NameAttrList.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setName(value);
-      break;
-    case 2:
-      var value = msg.getAttrMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.AttrValue.deserializeBinaryFromReader, "");
-         });
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.NameAttrList.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.NameAttrList.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.NameAttrList} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.NameAttrList.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getName();
-  if (f.length > 0) {
-    writer.writeString(
-      1,
-      f
-    );
-  }
-  f = message.getAttrMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(2, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.AttrValue.serializeBinaryToWriter);
-  }
-};
-
-
-/**
- * optional string name = 1;
- * @return {string}
- */
-proto.tensorflow.NameAttrList.prototype.getName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.NameAttrList.prototype.setName = function(value) {
-  jspb.Message.setProto3StringField(this, 1, value);
-};
-
-
-/**
- * map<string, AttrValue> attr = 2;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,!proto.tensorflow.AttrValue>}
- */
-proto.tensorflow.NameAttrList.prototype.getAttrMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,!proto.tensorflow.AttrValue>} */ (
-      jspb.Message.getMapField(this, 2, opt_noLazyCreate,
-      proto.tensorflow.AttrValue));
-};
-
-
-/**
- * Clears values from the map. The map will be non-null.
- */
-proto.tensorflow.NameAttrList.prototype.clearAttrMap = function() {
-  this.getAttrMap().clear();
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.NodeDef.repeatedFields_ = [3];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.NodeDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.NodeDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.NodeDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.NodeDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    name: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    op: jspb.Message.getFieldWithDefault(msg, 2, ""),
-    inputList: (f = jspb.Message.getRepeatedField(msg, 3)) == null ? undefined : f,
-    device: jspb.Message.getFieldWithDefault(msg, 4, ""),
-    attrMap: (f = msg.getAttrMap()) ? f.toObject(includeInstance, proto.tensorflow.AttrValue.toObject) : []
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.NodeDef}
- */
-proto.tensorflow.NodeDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.NodeDef;
-  return proto.tensorflow.NodeDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.NodeDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.NodeDef}
- */
-proto.tensorflow.NodeDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setName(value);
-      break;
-    case 2:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setOp(value);
-      break;
-    case 3:
-      var value = /** @type {string} */ (reader.readString());
-      msg.addInput(value);
-      break;
-    case 4:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setDevice(value);
-      break;
-    case 5:
-      var value = msg.getAttrMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.AttrValue.deserializeBinaryFromReader, "");
-         });
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.NodeDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.NodeDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.NodeDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.NodeDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getName();
-  if (f.length > 0) {
-    writer.writeString(
-      1,
-      f
-    );
-  }
-  f = message.getOp();
-  if (f.length > 0) {
-    writer.writeString(
-      2,
-      f
-    );
-  }
-  f = message.getInputList();
-  if (f.length > 0) {
-    writer.writeRepeatedString(
-      3,
-      f
-    );
-  }
-  f = message.getDevice();
-  if (f.length > 0) {
-    writer.writeString(
-      4,
-      f
-    );
-  }
-  f = message.getAttrMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(5, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.AttrValue.serializeBinaryToWriter);
-  }
-};
-
-
-/**
- * optional string name = 1;
- * @return {string}
- */
-proto.tensorflow.NodeDef.prototype.getName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.NodeDef.prototype.setName = function(value) {
-  jspb.Message.setProto3StringField(this, 1, value);
-};
-
-
-/**
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- * @return {string}
- */
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-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
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-
-
-/** @param {string} value */
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-  jspb.Message.setProto3StringField(this, 2, value);
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-
-
-/**
- * repeated string input = 3;
- * @return {!Array<string>}
- */
-proto.tensorflow.NodeDef.prototype.getInputList = function() {
-  return /** @type {!Array<string>} */ (jspb.Message.getRepeatedField(this, 3));
-};
-
-
-/** @param {!Array<string>} value */
-proto.tensorflow.NodeDef.prototype.setInputList = function(value) {
-  jspb.Message.setField(this, 3, value || []);
-};
-
-
-/**
- * @param {string} value
- * @param {number=} opt_index
- */
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-  jspb.Message.addToRepeatedField(this, 3, value, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.NodeDef.prototype.clearInputList = function() {
-  this.setInputList([]);
-};
-
-
-/**
- * optional string device = 4;
- * @return {string}
- */
-proto.tensorflow.NodeDef.prototype.getDevice = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.NodeDef.prototype.setDevice = function(value) {
-  jspb.Message.setProto3StringField(this, 4, value);
-};
-
-
-/**
- * map<string, AttrValue> attr = 5;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,!proto.tensorflow.AttrValue>}
- */
-proto.tensorflow.NodeDef.prototype.getAttrMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,!proto.tensorflow.AttrValue>} */ (
-      jspb.Message.getMapField(this, 5, opt_noLazyCreate,
-      proto.tensorflow.AttrValue));
-};
-
-
-/**
- * Clears values from the map. The map will be non-null.
- */
-proto.tensorflow.NodeDef.prototype.clearAttrMap = function() {
-  this.getAttrMap().clear();
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.VersionDef.repeatedFields_ = [3];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
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- * @return {!Object}
- */
-proto.tensorflow.VersionDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.VersionDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
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- * @param {!proto.tensorflow.VersionDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.VersionDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
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- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.VersionDef}
- */
-proto.tensorflow.VersionDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.VersionDef;
-  return proto.tensorflow.VersionDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.VersionDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.VersionDef}
- */
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-/**
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- * @return {!Uint8Array}
- */
-proto.tensorflow.VersionDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.VersionDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.VersionDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.VersionDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getProducer();
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-    writer.writeInt32(
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-
-
-/**
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- * @return {number}
- */
-proto.tensorflow.VersionDef.prototype.getProducer = function() {
-  return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
-};
-
-
-/** @param {number} value */
-proto.tensorflow.VersionDef.prototype.setProducer = function(value) {
-  jspb.Message.setProto3IntField(this, 1, value);
-};
-
-
-/**
- * optional int32 min_consumer = 2;
- * @return {number}
- */
-proto.tensorflow.VersionDef.prototype.getMinConsumer = function() {
-  return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 2, 0));
-};
-
-
-/** @param {number} value */
-proto.tensorflow.VersionDef.prototype.setMinConsumer = function(value) {
-  jspb.Message.setProto3IntField(this, 2, value);
-};
-
-
-/**
- * repeated int32 bad_consumers = 3;
- * @return {!Array<number>}
- */
-proto.tensorflow.VersionDef.prototype.getBadConsumersList = function() {
-  return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 3));
-};
-
-
-/** @param {!Array<number>} value */
-proto.tensorflow.VersionDef.prototype.setBadConsumersList = function(value) {
-  jspb.Message.setField(this, 3, value || []);
-};
-
-
-/**
- * @param {number} value
- * @param {number=} opt_index
- */
-proto.tensorflow.VersionDef.prototype.addBadConsumers = function(value, opt_index) {
-  jspb.Message.addToRepeatedField(this, 3, value, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.VersionDef.prototype.clearBadConsumersList = function() {
-  this.setBadConsumersList([]);
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.GraphDef.repeatedFields_ = [1];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.GraphDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.GraphDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.GraphDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.GraphDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    nodeList: jspb.Message.toObjectList(msg.getNodeList(),
-    proto.tensorflow.NodeDef.toObject, includeInstance),
-    versions: (f = msg.getVersions()) && proto.tensorflow.VersionDef.toObject(includeInstance, f),
-    library: (f = msg.getLibrary()) && proto.tensorflow.FunctionDefLibrary.toObject(includeInstance, f)
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.GraphDef}
- */
-proto.tensorflow.GraphDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.GraphDef;
-  return proto.tensorflow.GraphDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.GraphDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.GraphDef}
- */
-proto.tensorflow.GraphDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = new proto.tensorflow.NodeDef;
-      reader.readMessage(value,proto.tensorflow.NodeDef.deserializeBinaryFromReader);
-      msg.addNode(value);
-      break;
-    case 4:
-      var value = new proto.tensorflow.VersionDef;
-      reader.readMessage(value,proto.tensorflow.VersionDef.deserializeBinaryFromReader);
-      msg.setVersions(value);
-      break;
-    case 2:
-      var value = new proto.tensorflow.FunctionDefLibrary;
-      reader.readMessage(value,proto.tensorflow.FunctionDefLibrary.deserializeBinaryFromReader);
-      msg.setLibrary(value);
-      break;
-    default:
-      reader.skipField();
-      break;
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-  return msg;
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-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.GraphDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.GraphDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.GraphDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.GraphDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getNodeList();
-  if (f.length > 0) {
-    writer.writeRepeatedMessage(
-      1,
-      f,
-      proto.tensorflow.NodeDef.serializeBinaryToWriter
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-  }
-  f = message.getVersions();
-  if (f != null) {
-    writer.writeMessage(
-      4,
-      f,
-      proto.tensorflow.VersionDef.serializeBinaryToWriter
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-  }
-  f = message.getLibrary();
-  if (f != null) {
-    writer.writeMessage(
-      2,
-      f,
-      proto.tensorflow.FunctionDefLibrary.serializeBinaryToWriter
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-  }
-};
-
-
-/**
- * repeated NodeDef node = 1;
- * @return {!Array<!proto.tensorflow.NodeDef>}
- */
-proto.tensorflow.GraphDef.prototype.getNodeList = function() {
-  return /** @type{!Array<!proto.tensorflow.NodeDef>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.NodeDef, 1));
-};
-
-
-/** @param {!Array<!proto.tensorflow.NodeDef>} value */
-proto.tensorflow.GraphDef.prototype.setNodeList = function(value) {
-  jspb.Message.setRepeatedWrapperField(this, 1, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.NodeDef=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.NodeDef}
- */
-proto.tensorflow.GraphDef.prototype.addNode = function(opt_value, opt_index) {
-  return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.NodeDef, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.GraphDef.prototype.clearNodeList = function() {
-  this.setNodeList([]);
-};
-
-
-/**
- * optional VersionDef versions = 4;
- * @return {?proto.tensorflow.VersionDef}
- */
-proto.tensorflow.GraphDef.prototype.getVersions = function() {
-  return /** @type{?proto.tensorflow.VersionDef} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.VersionDef, 4));
-};
-
-
-/** @param {?proto.tensorflow.VersionDef|undefined} value */
-proto.tensorflow.GraphDef.prototype.setVersions = function(value) {
-  jspb.Message.setWrapperField(this, 4, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.GraphDef.prototype.clearVersions = function() {
-  this.setVersions(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.GraphDef.prototype.hasVersions = function() {
-  return jspb.Message.getField(this, 4) != null;
-};
-
-
-/**
- * optional FunctionDefLibrary library = 2;
- * @return {?proto.tensorflow.FunctionDefLibrary}
- */
-proto.tensorflow.GraphDef.prototype.getLibrary = function() {
-  return /** @type{?proto.tensorflow.FunctionDefLibrary} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.FunctionDefLibrary, 2));
-};
-
-
-/** @param {?proto.tensorflow.FunctionDefLibrary|undefined} value */
-proto.tensorflow.GraphDef.prototype.setLibrary = function(value) {
-  jspb.Message.setWrapperField(this, 2, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.GraphDef.prototype.clearLibrary = function() {
-  this.setLibrary(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.GraphDef.prototype.hasLibrary = function() {
-  return jspb.Message.getField(this, 2) != null;
-};
-
-
-
-/**
- * Oneof group definitions for this message. Each group defines the field
- * numbers belonging to that group. When of these fields' value is set, all
- * other fields in the group are cleared. During deserialization, if multiple
- * fields are encountered for a group, only the last value seen will be kept.
- * @private {!Array<!Array<number>>}
- * @const
- */
-proto.tensorflow.CollectionDef.oneofGroups_ = [[1,2,3,4,5]];
-
-/**
- * @enum {number}
- */
-proto.tensorflow.CollectionDef.KindCase = {
-  KIND_NOT_SET: 0,
-  NODE_LIST: 1,
-  BYTES_LIST: 2,
-  INT64_LIST: 3,
-  FLOAT_LIST: 4,
-  ANY_LIST: 5
-};
-
-/**
- * @return {proto.tensorflow.CollectionDef.KindCase}
- */
-proto.tensorflow.CollectionDef.prototype.getKindCase = function() {
-  return /** @type {proto.tensorflow.CollectionDef.KindCase} */(jspb.Message.computeOneofCase(this, proto.tensorflow.CollectionDef.oneofGroups_[0]));
-};
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.CollectionDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.CollectionDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.CollectionDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.CollectionDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    nodeList: (f = msg.getNodeList()) && proto.tensorflow.CollectionDef.NodeList.toObject(includeInstance, f),
-    bytesList: (f = msg.getBytesList()) && proto.tensorflow.CollectionDef.BytesList.toObject(includeInstance, f),
-    int64List: (f = msg.getInt64List()) && proto.tensorflow.CollectionDef.Int64List.toObject(includeInstance, f),
-    floatList: (f = msg.getFloatList()) && proto.tensorflow.CollectionDef.FloatList.toObject(includeInstance, f),
-    anyList: (f = msg.getAnyList()) && proto.tensorflow.CollectionDef.AnyList.toObject(includeInstance, f)
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
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-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.CollectionDef}
- */
-proto.tensorflow.CollectionDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.CollectionDef;
-  return proto.tensorflow.CollectionDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.CollectionDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.CollectionDef}
- */
-proto.tensorflow.CollectionDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = new proto.tensorflow.CollectionDef.NodeList;
-      reader.readMessage(value,proto.tensorflow.CollectionDef.NodeList.deserializeBinaryFromReader);
-      msg.setNodeList(value);
-      break;
-    case 2:
-      var value = new proto.tensorflow.CollectionDef.BytesList;
-      reader.readMessage(value,proto.tensorflow.CollectionDef.BytesList.deserializeBinaryFromReader);
-      msg.setBytesList(value);
-      break;
-    case 3:
-      var value = new proto.tensorflow.CollectionDef.Int64List;
-      reader.readMessage(value,proto.tensorflow.CollectionDef.Int64List.deserializeBinaryFromReader);
-      msg.setInt64List(value);
-      break;
-    case 4:
-      var value = new proto.tensorflow.CollectionDef.FloatList;
-      reader.readMessage(value,proto.tensorflow.CollectionDef.FloatList.deserializeBinaryFromReader);
-      msg.setFloatList(value);
-      break;
-    case 5:
-      var value = new proto.tensorflow.CollectionDef.AnyList;
-      reader.readMessage(value,proto.tensorflow.CollectionDef.AnyList.deserializeBinaryFromReader);
-      msg.setAnyList(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.CollectionDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.CollectionDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.CollectionDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.CollectionDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getNodeList();
-  if (f != null) {
-    writer.writeMessage(
-      1,
-      f,
-      proto.tensorflow.CollectionDef.NodeList.serializeBinaryToWriter
-    );
-  }
-  f = message.getBytesList();
-  if (f != null) {
-    writer.writeMessage(
-      2,
-      f,
-      proto.tensorflow.CollectionDef.BytesList.serializeBinaryToWriter
-    );
-  }
-  f = message.getInt64List();
-  if (f != null) {
-    writer.writeMessage(
-      3,
-      f,
-      proto.tensorflow.CollectionDef.Int64List.serializeBinaryToWriter
-    );
-  }
-  f = message.getFloatList();
-  if (f != null) {
-    writer.writeMessage(
-      4,
-      f,
-      proto.tensorflow.CollectionDef.FloatList.serializeBinaryToWriter
-    );
-  }
-  f = message.getAnyList();
-  if (f != null) {
-    writer.writeMessage(
-      5,
-      f,
-      proto.tensorflow.CollectionDef.AnyList.serializeBinaryToWriter
-    );
-  }
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
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- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.CollectionDef.AnyList} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.CollectionDef.AnyList.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getValueList();
-  if (f.length > 0) {
-    writer.writeRepeatedMessage(
-      1,
-      f,
-      proto.tensorflow.Any.serializeBinaryToWriter
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-};
-
-
-/**
- * repeated Any value = 1;
- * @return {!Array<!proto.tensorflow.Any>}
- */
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-  return /** @type{!Array<!proto.tensorflow.Any>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.Any, 1));
-};
-
-
-/** @param {!Array<!proto.tensorflow.Any>} value */
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-  jspb.Message.setRepeatedWrapperField(this, 1, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.Any=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.Any}
- */
-proto.tensorflow.CollectionDef.AnyList.prototype.addValue = function(opt_value, opt_index) {
-  return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.Any, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.CollectionDef.AnyList.prototype.clearValueList = function() {
-  this.setValueList([]);
-};
-
-
-/**
- * optional NodeList node_list = 1;
- * @return {?proto.tensorflow.CollectionDef.NodeList}
- */
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-  return /** @type{?proto.tensorflow.CollectionDef.NodeList} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.NodeList, 1));
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-
-/** @param {?proto.tensorflow.CollectionDef.NodeList|undefined} value */
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-  jspb.Message.setOneofWrapperField(this, 1, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
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-
-/**
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- */
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-  this.setNodeList(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
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-  return jspb.Message.getField(this, 1) != null;
-};
-
-
-/**
- * optional BytesList bytes_list = 2;
- * @return {?proto.tensorflow.CollectionDef.BytesList}
- */
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-  return /** @type{?proto.tensorflow.CollectionDef.BytesList} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.BytesList, 2));
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-
-/** @param {?proto.tensorflow.CollectionDef.BytesList|undefined} value */
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-  jspb.Message.setOneofWrapperField(this, 2, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
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-
-/**
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- */
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-  this.setBytesList(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
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-  return jspb.Message.getField(this, 2) != null;
-};
-
-
-/**
- * optional Int64List int64_list = 3;
- * @return {?proto.tensorflow.CollectionDef.Int64List}
- */
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-  return /** @type{?proto.tensorflow.CollectionDef.Int64List} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.Int64List, 3));
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-
-/** @param {?proto.tensorflow.CollectionDef.Int64List|undefined} value */
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-  jspb.Message.setOneofWrapperField(this, 3, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
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-
-/**
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-  this.setInt64List(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
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-  return jspb.Message.getField(this, 3) != null;
-};
-
-
-/**
- * optional FloatList float_list = 4;
- * @return {?proto.tensorflow.CollectionDef.FloatList}
- */
-proto.tensorflow.CollectionDef.prototype.getFloatList = function() {
-  return /** @type{?proto.tensorflow.CollectionDef.FloatList} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.FloatList, 4));
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-
-/** @param {?proto.tensorflow.CollectionDef.FloatList|undefined} value */
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-  jspb.Message.setOneofWrapperField(this, 4, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
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-  this.setFloatList(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.CollectionDef.prototype.hasFloatList = function() {
-  return jspb.Message.getField(this, 4) != null;
-};
-
-
-/**
- * optional AnyList any_list = 5;
- * @return {?proto.tensorflow.CollectionDef.AnyList}
- */
-proto.tensorflow.CollectionDef.prototype.getAnyList = function() {
-  return /** @type{?proto.tensorflow.CollectionDef.AnyList} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.AnyList, 5));
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-
-
-/** @param {?proto.tensorflow.CollectionDef.AnyList|undefined} value */
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-  jspb.Message.setOneofWrapperField(this, 5, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
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-  this.setAnyList(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.CollectionDef.prototype.hasAnyList = function() {
-  return jspb.Message.getField(this, 5) != null;
-};
-
-
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.SaverDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.SaverDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.SaverDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.SaverDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    filenameTensorName: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    saveTensorName: jspb.Message.getFieldWithDefault(msg, 2, ""),
-    restoreOpName: jspb.Message.getFieldWithDefault(msg, 3, ""),
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-  if (includeInstance) {
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-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.SaverDef}
- */
-proto.tensorflow.SaverDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.SaverDef;
-  return proto.tensorflow.SaverDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.SaverDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.SaverDef}
- */
-proto.tensorflow.SaverDef.deserializeBinaryFromReader = function(msg, reader) {
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-      break;
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-    var field = reader.getFieldNumber();
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-      msg.setFilenameTensorName(value);
-      break;
-    case 2:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setSaveTensorName(value);
-      break;
-    case 3:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setRestoreOpName(value);
-      break;
-    case 4:
-      var value = /** @type {number} */ (reader.readInt32());
-      msg.setMaxToKeep(value);
-      break;
-    case 5:
-      var value = /** @type {boolean} */ (reader.readBool());
-      msg.setSharded(value);
-      break;
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-      var value = /** @type {number} */ (reader.readFloat());
-      msg.setKeepCheckpointEveryNHours(value);
-      break;
-    case 7:
-      var value = /** @type {!proto.tensorflow.SaverDef.CheckpointFormatVersion} */ (reader.readEnum());
-      msg.setVersion(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.SaverDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.SaverDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.SaverDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.SaverDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getFilenameTensorName();
-  if (f.length > 0) {
-    writer.writeString(
-      1,
-      f
-    );
-  }
-  f = message.getSaveTensorName();
-  if (f.length > 0) {
-    writer.writeString(
-      2,
-      f
-    );
-  }
-  f = message.getRestoreOpName();
-  if (f.length > 0) {
-    writer.writeString(
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-  if (f !== 0.0) {
-    writer.writeEnum(
-      7,
-      f
-    );
-  }
-};
-
-
-/**
- * @enum {number}
- */
-proto.tensorflow.SaverDef.CheckpointFormatVersion = {
-  LEGACY: 0,
-  V1: 1,
-  V2: 2
-};
-
-/**
- * optional string filename_tensor_name = 1;
- * @return {string}
- */
-proto.tensorflow.SaverDef.prototype.getFilenameTensorName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.SaverDef.prototype.setFilenameTensorName = function(value) {
-  jspb.Message.setProto3StringField(this, 1, value);
-};
-
-
-/**
- * optional string save_tensor_name = 2;
- * @return {string}
- */
-proto.tensorflow.SaverDef.prototype.getSaveTensorName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.SaverDef.prototype.setSaveTensorName = function(value) {
-  jspb.Message.setProto3StringField(this, 2, value);
-};
-
-
-/**
- * optional string restore_op_name = 3;
- * @return {string}
- */
-proto.tensorflow.SaverDef.prototype.getRestoreOpName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.SaverDef.prototype.setRestoreOpName = function(value) {
-  jspb.Message.setProto3StringField(this, 3, value);
-};
-
-
-/**
- * optional int32 max_to_keep = 4;
- * @return {number}
- */
-proto.tensorflow.SaverDef.prototype.getMaxToKeep = function() {
-  return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 4, 0));
-};
-
-
-/** @param {number} value */
-proto.tensorflow.SaverDef.prototype.setMaxToKeep = function(value) {
-  jspb.Message.setProto3IntField(this, 4, value);
-};
-
-
-/**
- * optional bool sharded = 5;
- * @return {boolean}
- */
-proto.tensorflow.SaverDef.prototype.getSharded = function() {
-  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 5, false));
-};
-
-
-/** @param {boolean} value */
-proto.tensorflow.SaverDef.prototype.setSharded = function(value) {
-  jspb.Message.setProto3BooleanField(this, 5, value);
-};
-
-
-/**
- * optional float keep_checkpoint_every_n_hours = 6;
- * @return {number}
- */
-proto.tensorflow.SaverDef.prototype.getKeepCheckpointEveryNHours = function() {
-  return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 6, 0.0));
-};
-
-
-/** @param {number} value */
-proto.tensorflow.SaverDef.prototype.setKeepCheckpointEveryNHours = function(value) {
-  jspb.Message.setProto3FloatField(this, 6, value);
-};
-
-
-/**
- * optional CheckpointFormatVersion version = 7;
- * @return {!proto.tensorflow.SaverDef.CheckpointFormatVersion}
- */
-proto.tensorflow.SaverDef.prototype.getVersion = function() {
-  return /** @type {!proto.tensorflow.SaverDef.CheckpointFormatVersion} */ (jspb.Message.getFieldWithDefault(this, 7, 0));
-};
-
-
-/** @param {!proto.tensorflow.SaverDef.CheckpointFormatVersion} value */
-proto.tensorflow.SaverDef.prototype.setVersion = function(value) {
-  jspb.Message.setProto3EnumField(this, 7, value);
-};
-
-
-
-/**
- * Oneof group definitions for this message. Each group defines the field
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- * other fields in the group are cleared. During deserialization, if multiple
- * fields are encountered for a group, only the last value seen will be kept.
- * @private {!Array<!Array<number>>}
- * @const
- */
-proto.tensorflow.TensorInfo.oneofGroups_ = [[1,4]];
-
-/**
- * @enum {number}
- */
-proto.tensorflow.TensorInfo.EncodingCase = {
-  ENCODING_NOT_SET: 0,
-  NAME: 1,
-  COO_SPARSE: 4
-};
-
-/**
- * @return {proto.tensorflow.TensorInfo.EncodingCase}
- */
-proto.tensorflow.TensorInfo.prototype.getEncodingCase = function() {
-  return /** @type {proto.tensorflow.TensorInfo.EncodingCase} */(jspb.Message.computeOneofCase(this, proto.tensorflow.TensorInfo.oneofGroups_[0]));
-};
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.TensorInfo.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.TensorInfo.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.TensorInfo} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.TensorInfo.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    name: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    cooSparse: (f = msg.getCooSparse()) && proto.tensorflow.TensorInfo.CooSparse.toObject(includeInstance, f),
-    dtype: jspb.Message.getFieldWithDefault(msg, 2, 0),
-    tensorShape: (f = msg.getTensorShape()) && proto.tensorflow.TensorShape.toObject(includeInstance, f)
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.TensorInfo}
- */
-proto.tensorflow.TensorInfo.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.TensorInfo;
-  return proto.tensorflow.TensorInfo.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.TensorInfo} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.TensorInfo}
- */
-proto.tensorflow.TensorInfo.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setName(value);
-      break;
-    case 4:
-      var value = new proto.tensorflow.TensorInfo.CooSparse;
-      reader.readMessage(value,proto.tensorflow.TensorInfo.CooSparse.deserializeBinaryFromReader);
-      msg.setCooSparse(value);
-      break;
-    case 2:
-      var value = /** @type {!proto.tensorflow.DataType} */ (reader.readEnum());
-      msg.setDtype(value);
-      break;
-    case 3:
-      var value = new proto.tensorflow.TensorShape;
-      reader.readMessage(value,proto.tensorflow.TensorShape.deserializeBinaryFromReader);
-      msg.setTensorShape(value);
-      break;
-    default:
-      reader.skipField();
-      break;
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-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.TensorInfo.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.TensorInfo.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.TensorInfo} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.TensorInfo.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = /** @type {string} */ (jspb.Message.getField(message, 1));
-  if (f != null) {
-    writer.writeString(
-      1,
-      f
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-  f = message.getCooSparse();
-  if (f != null) {
-    writer.writeMessage(
-      4,
-      f,
-      proto.tensorflow.TensorInfo.CooSparse.serializeBinaryToWriter
-    );
-  }
-  f = message.getDtype();
-  if (f !== 0.0) {
-    writer.writeEnum(
-      2,
-      f
-    );
-  }
-  f = message.getTensorShape();
-  if (f != null) {
-    writer.writeMessage(
-      3,
-      f,
-      proto.tensorflow.TensorShape.serializeBinaryToWriter
-    );
-  }
-};
-
-
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.TensorInfo.CooSparse.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.TensorInfo.CooSparse.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.TensorInfo.CooSparse} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.TensorInfo.CooSparse.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    valuesTensorName: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    indicesTensorName: jspb.Message.getFieldWithDefault(msg, 2, ""),
-    denseShapeTensorName: jspb.Message.getFieldWithDefault(msg, 3, "")
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.TensorInfo.CooSparse}
- */
-proto.tensorflow.TensorInfo.CooSparse.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.TensorInfo.CooSparse;
-  return proto.tensorflow.TensorInfo.CooSparse.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.TensorInfo.CooSparse} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.TensorInfo.CooSparse}
- */
-proto.tensorflow.TensorInfo.CooSparse.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setValuesTensorName(value);
-      break;
-    case 2:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setIndicesTensorName(value);
-      break;
-    case 3:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setDenseShapeTensorName(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.TensorInfo.CooSparse.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.TensorInfo.CooSparse.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.TensorInfo.CooSparse} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.TensorInfo.CooSparse.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getValuesTensorName();
-  if (f.length > 0) {
-    writer.writeString(
-      1,
-      f
-    );
-  }
-  f = message.getIndicesTensorName();
-  if (f.length > 0) {
-    writer.writeString(
-      2,
-      f
-    );
-  }
-  f = message.getDenseShapeTensorName();
-  if (f.length > 0) {
-    writer.writeString(
-      3,
-      f
-    );
-  }
-};
-
-
-/**
- * optional string values_tensor_name = 1;
- * @return {string}
- */
-proto.tensorflow.TensorInfo.CooSparse.prototype.getValuesTensorName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.TensorInfo.CooSparse.prototype.setValuesTensorName = function(value) {
-  jspb.Message.setProto3StringField(this, 1, value);
-};
-
-
-/**
- * optional string indices_tensor_name = 2;
- * @return {string}
- */
-proto.tensorflow.TensorInfo.CooSparse.prototype.getIndicesTensorName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.TensorInfo.CooSparse.prototype.setIndicesTensorName = function(value) {
-  jspb.Message.setProto3StringField(this, 2, value);
-};
-
-
-/**
- * optional string dense_shape_tensor_name = 3;
- * @return {string}
- */
-proto.tensorflow.TensorInfo.CooSparse.prototype.getDenseShapeTensorName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.TensorInfo.CooSparse.prototype.setDenseShapeTensorName = function(value) {
-  jspb.Message.setProto3StringField(this, 3, value);
-};
-
-
-/**
- * optional string name = 1;
- * @return {string}
- */
-proto.tensorflow.TensorInfo.prototype.getName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.TensorInfo.prototype.setName = function(value) {
-  jspb.Message.setOneofField(this, 1, proto.tensorflow.TensorInfo.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the field making it undefined.
- */
-proto.tensorflow.TensorInfo.prototype.clearName = function() {
-  jspb.Message.setOneofField(this, 1, proto.tensorflow.TensorInfo.oneofGroups_[0], undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.TensorInfo.prototype.hasName = function() {
-  return jspb.Message.getField(this, 1) != null;
-};
-
-
-/**
- * optional CooSparse coo_sparse = 4;
- * @return {?proto.tensorflow.TensorInfo.CooSparse}
- */
-proto.tensorflow.TensorInfo.prototype.getCooSparse = function() {
-  return /** @type{?proto.tensorflow.TensorInfo.CooSparse} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.TensorInfo.CooSparse, 4));
-};
-
-
-/** @param {?proto.tensorflow.TensorInfo.CooSparse|undefined} value */
-proto.tensorflow.TensorInfo.prototype.setCooSparse = function(value) {
-  jspb.Message.setOneofWrapperField(this, 4, proto.tensorflow.TensorInfo.oneofGroups_[0], value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.TensorInfo.prototype.clearCooSparse = function() {
-  this.setCooSparse(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.TensorInfo.prototype.hasCooSparse = function() {
-  return jspb.Message.getField(this, 4) != null;
-};
-
-
-/**
- * optional DataType dtype = 2;
- * @return {!proto.tensorflow.DataType}
- */
-proto.tensorflow.TensorInfo.prototype.getDtype = function() {
-  return /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getFieldWithDefault(this, 2, 0));
-};
-
-
-/** @param {!proto.tensorflow.DataType} value */
-proto.tensorflow.TensorInfo.prototype.setDtype = function(value) {
-  jspb.Message.setProto3EnumField(this, 2, value);
-};
-
-
-/**
- * optional TensorShape tensor_shape = 3;
- * @return {?proto.tensorflow.TensorShape}
- */
-proto.tensorflow.TensorInfo.prototype.getTensorShape = function() {
-  return /** @type{?proto.tensorflow.TensorShape} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.TensorShape, 3));
-};
-
-
-/** @param {?proto.tensorflow.TensorShape|undefined} value */
-proto.tensorflow.TensorInfo.prototype.setTensorShape = function(value) {
-  jspb.Message.setWrapperField(this, 3, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.TensorInfo.prototype.clearTensorShape = function() {
-  this.setTensorShape(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.TensorInfo.prototype.hasTensorShape = function() {
-  return jspb.Message.getField(this, 3) != null;
-};
-
-
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.SignatureDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.SignatureDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.SignatureDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.SignatureDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    inputsMap: (f = msg.getInputsMap()) ? f.toObject(includeInstance, proto.tensorflow.TensorInfo.toObject) : [],
-    outputsMap: (f = msg.getOutputsMap()) ? f.toObject(includeInstance, proto.tensorflow.TensorInfo.toObject) : [],
-    methodName: jspb.Message.getFieldWithDefault(msg, 3, "")
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.SignatureDef}
- */
-proto.tensorflow.SignatureDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.SignatureDef;
-  return proto.tensorflow.SignatureDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.SignatureDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.SignatureDef}
- */
-proto.tensorflow.SignatureDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = msg.getInputsMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.TensorInfo.deserializeBinaryFromReader, "");
-         });
-      break;
-    case 2:
-      var value = msg.getOutputsMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.TensorInfo.deserializeBinaryFromReader, "");
-         });
-      break;
-    case 3:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setMethodName(value);
-      break;
-    default:
-      reader.skipField();
-      break;
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-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.SignatureDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.SignatureDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.SignatureDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.SignatureDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getInputsMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(1, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.TensorInfo.serializeBinaryToWriter);
-  }
-  f = message.getOutputsMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(2, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.TensorInfo.serializeBinaryToWriter);
-  }
-  f = message.getMethodName();
-  if (f.length > 0) {
-    writer.writeString(
-      3,
-      f
-    );
-  }
-};
-
-
-/**
- * map<string, TensorInfo> inputs = 1;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,!proto.tensorflow.TensorInfo>}
- */
-proto.tensorflow.SignatureDef.prototype.getInputsMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,!proto.tensorflow.TensorInfo>} */ (
-      jspb.Message.getMapField(this, 1, opt_noLazyCreate,
-      proto.tensorflow.TensorInfo));
-};
-
-
-/**
- * Clears values from the map. The map will be non-null.
- */
-proto.tensorflow.SignatureDef.prototype.clearInputsMap = function() {
-  this.getInputsMap().clear();
-};
-
-
-/**
- * map<string, TensorInfo> outputs = 2;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,!proto.tensorflow.TensorInfo>}
- */
-proto.tensorflow.SignatureDef.prototype.getOutputsMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,!proto.tensorflow.TensorInfo>} */ (
-      jspb.Message.getMapField(this, 2, opt_noLazyCreate,
-      proto.tensorflow.TensorInfo));
-};
-
-
-/**
- * Clears values from the map. The map will be non-null.
- */
-proto.tensorflow.SignatureDef.prototype.clearOutputsMap = function() {
-  this.getOutputsMap().clear();
-};
-
-
-/**
- * optional string method_name = 3;
- * @return {string}
- */
-proto.tensorflow.SignatureDef.prototype.getMethodName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.SignatureDef.prototype.setMethodName = function(value) {
-  jspb.Message.setProto3StringField(this, 3, value);
-};
-
-
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.AssetFileDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.AssetFileDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.AssetFileDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.AssetFileDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    tensorInfo: (f = msg.getTensorInfo()) && proto.tensorflow.TensorInfo.toObject(includeInstance, f),
-    filename: jspb.Message.getFieldWithDefault(msg, 2, "")
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.AssetFileDef}
- */
-proto.tensorflow.AssetFileDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.AssetFileDef;
-  return proto.tensorflow.AssetFileDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.AssetFileDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.AssetFileDef}
- */
-proto.tensorflow.AssetFileDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = new proto.tensorflow.TensorInfo;
-      reader.readMessage(value,proto.tensorflow.TensorInfo.deserializeBinaryFromReader);
-      msg.setTensorInfo(value);
-      break;
-    case 2:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setFilename(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.AssetFileDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.AssetFileDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.AssetFileDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.AssetFileDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getTensorInfo();
-  if (f != null) {
-    writer.writeMessage(
-      1,
-      f,
-      proto.tensorflow.TensorInfo.serializeBinaryToWriter
-    );
-  }
-  f = message.getFilename();
-  if (f.length > 0) {
-    writer.writeString(
-      2,
-      f
-    );
-  }
-};
-
-
-/**
- * optional TensorInfo tensor_info = 1;
- * @return {?proto.tensorflow.TensorInfo}
- */
-proto.tensorflow.AssetFileDef.prototype.getTensorInfo = function() {
-  return /** @type{?proto.tensorflow.TensorInfo} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.TensorInfo, 1));
-};
-
-
-/** @param {?proto.tensorflow.TensorInfo|undefined} value */
-proto.tensorflow.AssetFileDef.prototype.setTensorInfo = function(value) {
-  jspb.Message.setWrapperField(this, 1, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.AssetFileDef.prototype.clearTensorInfo = function() {
-  this.setTensorInfo(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.AssetFileDef.prototype.hasTensorInfo = function() {
-  return jspb.Message.getField(this, 1) != null;
-};
-
-
-/**
- * optional string filename = 2;
- * @return {string}
- */
-proto.tensorflow.AssetFileDef.prototype.getFilename = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.AssetFileDef.prototype.setFilename = function(value) {
-  jspb.Message.setProto3StringField(this, 2, value);
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.OpDef.repeatedFields_ = [2,3,4];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.OpDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.OpDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.OpDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.OpDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    name: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    inputArgList: jspb.Message.toObjectList(msg.getInputArgList(),
-    proto.tensorflow.OpDef.ArgDef.toObject, includeInstance),
-    outputArgList: jspb.Message.toObjectList(msg.getOutputArgList(),
-    proto.tensorflow.OpDef.ArgDef.toObject, includeInstance),
-    attrList: jspb.Message.toObjectList(msg.getAttrList(),
-    proto.tensorflow.OpDef.AttrDef.toObject, includeInstance),
-    deprecation: (f = msg.getDeprecation()) && proto.tensorflow.OpDef.OpDeprecation.toObject(includeInstance, f),
-    summary: jspb.Message.getFieldWithDefault(msg, 5, ""),
-    description: jspb.Message.getFieldWithDefault(msg, 6, ""),
-    isCommutative: jspb.Message.getBooleanFieldWithDefault(msg, 18, false),
-    isAggregate: jspb.Message.getBooleanFieldWithDefault(msg, 16, false),
-    isStateful: jspb.Message.getBooleanFieldWithDefault(msg, 17, false),
-    allowsUninitializedInput: jspb.Message.getBooleanFieldWithDefault(msg, 19, false)
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.OpDef}
- */
-proto.tensorflow.OpDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.OpDef;
-  return proto.tensorflow.OpDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.OpDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
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-/**
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-/**
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-/**
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-      var value = /** @type {!proto.tensorflow.DataType} */ (reader.readEnum());
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-/**
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- * format), writing to the given BinaryWriter.
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- */
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-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
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-
-/** @param {string} value */
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-
-/** @param {string} value */
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-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 5, ""));
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-/** @param {string} value */
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-/**
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-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 6, ""));
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-
-
-
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- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
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- * @param {!proto.tensorflow.OpDef.AttrDef} msg The msg instance to transform.
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-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
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-  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 5, false));
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-
-
-/** @param {boolean} value */
-proto.tensorflow.OpDef.AttrDef.prototype.setHasMinimum = function(value) {
-  jspb.Message.setProto3BooleanField(this, 5, value);
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- * optional int64 minimum = 6;
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- */
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-  return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 6, 0));
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-
-/** @param {number} value */
-proto.tensorflow.OpDef.AttrDef.prototype.setMinimum = function(value) {
-  jspb.Message.setProto3IntField(this, 6, value);
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-/**
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- */
-proto.tensorflow.OpDef.AttrDef.prototype.getAllowedValues = function() {
-  return /** @type{?proto.tensorflow.AttrValue} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.AttrValue, 7));
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-
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-/** @param {!Array<!proto.tensorflow.OpDef.ArgDef>} value */
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-
-/**
- * @param {!proto.tensorflow.OpDef.ArgDef=} opt_value
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- * @return {!proto.tensorflow.OpDef.ArgDef}
- */
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-};
-
-
-/**
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- */
-proto.tensorflow.OpDef.prototype.clearOutputArgList = function() {
-  this.setOutputArgList([]);
-};
-
-
-/**
- * repeated AttrDef attr = 4;
- * @return {!Array<!proto.tensorflow.OpDef.AttrDef>}
- */
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-  return /** @type{!Array<!proto.tensorflow.OpDef.AttrDef>} */ (
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-
-/** @param {!Array<!proto.tensorflow.OpDef.AttrDef>} value */
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-  jspb.Message.setRepeatedWrapperField(this, 4, value);
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-
-
-/**
- * @param {!proto.tensorflow.OpDef.AttrDef=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.OpDef.AttrDef}
- */
-proto.tensorflow.OpDef.prototype.addAttr = function(opt_value, opt_index) {
-  return jspb.Message.addToRepeatedWrapperField(this, 4, opt_value, proto.tensorflow.OpDef.AttrDef, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.OpDef.prototype.clearAttrList = function() {
-  this.setAttrList([]);
-};
-
-
-/**
- * optional OpDeprecation deprecation = 8;
- * @return {?proto.tensorflow.OpDef.OpDeprecation}
- */
-proto.tensorflow.OpDef.prototype.getDeprecation = function() {
-  return /** @type{?proto.tensorflow.OpDef.OpDeprecation} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.OpDef.OpDeprecation, 8));
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-
-
-/** @param {?proto.tensorflow.OpDef.OpDeprecation|undefined} value */
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-  jspb.Message.setWrapperField(this, 8, value);
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-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.OpDef.prototype.clearDeprecation = function() {
-  this.setDeprecation(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.OpDef.prototype.hasDeprecation = function() {
-  return jspb.Message.getField(this, 8) != null;
-};
-
-
-/**
- * optional string summary = 5;
- * @return {string}
- */
-proto.tensorflow.OpDef.prototype.getSummary = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 5, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.OpDef.prototype.setSummary = function(value) {
-  jspb.Message.setProto3StringField(this, 5, value);
-};
-
-
-/**
- * optional string description = 6;
- * @return {string}
- */
-proto.tensorflow.OpDef.prototype.getDescription = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 6, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.OpDef.prototype.setDescription = function(value) {
-  jspb.Message.setProto3StringField(this, 6, value);
-};
-
-
-/**
- * optional bool is_commutative = 18;
- * @return {boolean}
- */
-proto.tensorflow.OpDef.prototype.getIsCommutative = function() {
-  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 18, false));
-};
-
-
-/** @param {boolean} value */
-proto.tensorflow.OpDef.prototype.setIsCommutative = function(value) {
-  jspb.Message.setProto3BooleanField(this, 18, value);
-};
-
-
-/**
- * optional bool is_aggregate = 16;
- * @return {boolean}
- */
-proto.tensorflow.OpDef.prototype.getIsAggregate = function() {
-  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 16, false));
-};
-
-
-/** @param {boolean} value */
-proto.tensorflow.OpDef.prototype.setIsAggregate = function(value) {
-  jspb.Message.setProto3BooleanField(this, 16, value);
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-
-
-/**
- * optional bool is_stateful = 17;
- * @return {boolean}
- */
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-  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 17, false));
-};
-
-
-/** @param {boolean} value */
-proto.tensorflow.OpDef.prototype.setIsStateful = function(value) {
-  jspb.Message.setProto3BooleanField(this, 17, value);
-};
-
-
-/**
- * optional bool allows_uninitialized_input = 19;
- * @return {boolean}
- */
-proto.tensorflow.OpDef.prototype.getAllowsUninitializedInput = function() {
-  return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 19, false));
-};
-
-
-/** @param {boolean} value */
-proto.tensorflow.OpDef.prototype.setAllowsUninitializedInput = function(value) {
-  jspb.Message.setProto3BooleanField(this, 19, value);
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.OpList.repeatedFields_ = [1];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
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- *     JSPB instance for transitional soy proto support:
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-/**
- * Static version of the {@see toObject} method.
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- *     the JSPB instance for transitional soy proto support:
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- * @param {!proto.tensorflow.OpList} msg The msg instance to transform.
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-  var reader = new jspb.BinaryReader(bytes);
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- * Deserializes binary data (in protobuf wire format) from the
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-    var field = reader.getFieldNumber();
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-/**
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- * @param {!proto.tensorflow.OpList} message
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-proto.tensorflow.OpList.serializeBinaryToWriter = function(message, writer) {
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-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.OpDef, 1));
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-
-/** @param {!Array<!proto.tensorflow.OpDef>} value */
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-  jspb.Message.setRepeatedWrapperField(this, 1, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.OpDef=} opt_value
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- * @return {!proto.tensorflow.OpDef}
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-  return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.OpDef, opt_index);
-};
-
-
-/**
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- */
-proto.tensorflow.OpList.prototype.clearOpList = function() {
-  this.setOpList([]);
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
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-proto.tensorflow.MetaGraphDef.repeatedFields_ = [6];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
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- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.MetaGraphDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.MetaGraphDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
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- * @param {!proto.tensorflow.MetaGraphDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
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-  var f, obj = {
-    metaInfoDef: (f = msg.getMetaInfoDef()) && proto.tensorflow.MetaGraphDef.MetaInfoDef.toObject(includeInstance, f),
-    graphDef: (f = msg.getGraphDef()) && proto.tensorflow.GraphDef.toObject(includeInstance, f),
-    saverDef: (f = msg.getSaverDef()) && proto.tensorflow.SaverDef.toObject(includeInstance, f),
-    collectionDefMap: (f = msg.getCollectionDefMap()) ? f.toObject(includeInstance, proto.tensorflow.CollectionDef.toObject) : [],
-    signatureDefMap: (f = msg.getSignatureDefMap()) ? f.toObject(includeInstance, proto.tensorflow.SignatureDef.toObject) : [],
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-    obj.$jspbMessageInstance = msg;
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-  return obj;
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-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.MetaGraphDef}
- */
-proto.tensorflow.MetaGraphDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.MetaGraphDef;
-  return proto.tensorflow.MetaGraphDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.MetaGraphDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.MetaGraphDef}
- */
-proto.tensorflow.MetaGraphDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = new proto.tensorflow.MetaGraphDef.MetaInfoDef;
-      reader.readMessage(value,proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinaryFromReader);
-      msg.setMetaInfoDef(value);
-      break;
-    case 2:
-      var value = new proto.tensorflow.GraphDef;
-      reader.readMessage(value,proto.tensorflow.GraphDef.deserializeBinaryFromReader);
-      msg.setGraphDef(value);
-      break;
-    case 3:
-      var value = new proto.tensorflow.SaverDef;
-      reader.readMessage(value,proto.tensorflow.SaverDef.deserializeBinaryFromReader);
-      msg.setSaverDef(value);
-      break;
-    case 4:
-      var value = msg.getCollectionDefMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.CollectionDef.deserializeBinaryFromReader, "");
-         });
-      break;
-    case 5:
-      var value = msg.getSignatureDefMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.SignatureDef.deserializeBinaryFromReader, "");
-         });
-      break;
-    case 6:
-      var value = new proto.tensorflow.AssetFileDef;
-      reader.readMessage(value,proto.tensorflow.AssetFileDef.deserializeBinaryFromReader);
-      msg.addAssetFileDef(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.MetaGraphDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.MetaGraphDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.MetaGraphDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.MetaGraphDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getMetaInfoDef();
-  if (f != null) {
-    writer.writeMessage(
-      1,
-      f,
-      proto.tensorflow.MetaGraphDef.MetaInfoDef.serializeBinaryToWriter
-    );
-  }
-  f = message.getGraphDef();
-  if (f != null) {
-    writer.writeMessage(
-      2,
-      f,
-      proto.tensorflow.GraphDef.serializeBinaryToWriter
-    );
-  }
-  f = message.getSaverDef();
-  if (f != null) {
-    writer.writeMessage(
-      3,
-      f,
-      proto.tensorflow.SaverDef.serializeBinaryToWriter
-    );
-  }
-  f = message.getCollectionDefMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(4, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.CollectionDef.serializeBinaryToWriter);
-  }
-  f = message.getSignatureDefMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(5, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.SignatureDef.serializeBinaryToWriter);
-  }
-  f = message.getAssetFileDefList();
-  if (f.length > 0) {
-    writer.writeRepeatedMessage(
-      6,
-      f,
-      proto.tensorflow.AssetFileDef.serializeBinaryToWriter
-    );
-  }
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.repeatedFields_ = [4];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.MetaGraphDef.MetaInfoDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.MetaGraphDef.MetaInfoDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    metaGraphVersion: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    strippedOpList: (f = msg.getStrippedOpList()) && proto.tensorflow.OpList.toObject(includeInstance, f),
-    anyInfo: (f = msg.getAnyInfo()) && proto.tensorflow.Any.toObject(includeInstance, f),
-    tagsList: (f = jspb.Message.getRepeatedField(msg, 4)) == null ? undefined : f,
-    tensorflowVersion: jspb.Message.getFieldWithDefault(msg, 5, ""),
-    tensorflowGitVersion: jspb.Message.getFieldWithDefault(msg, 6, "")
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.MetaGraphDef.MetaInfoDef;
-  return proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.MetaGraphDef.MetaInfoDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setMetaGraphVersion(value);
-      break;
-    case 2:
-      var value = new proto.tensorflow.OpList;
-      reader.readMessage(value,proto.tensorflow.OpList.deserializeBinaryFromReader);
-      msg.setStrippedOpList(value);
-      break;
-    case 3:
-      var value = new proto.tensorflow.Any;
-      reader.readMessage(value,proto.tensorflow.Any.deserializeBinaryFromReader);
-      msg.setAnyInfo(value);
-      break;
-    case 4:
-      var value = /** @type {string} */ (reader.readString());
-      msg.addTags(value);
-      break;
-    case 5:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setTensorflowVersion(value);
-      break;
-    case 6:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setTensorflowGitVersion(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.MetaGraphDef.MetaInfoDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.MetaGraphDef.MetaInfoDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getMetaGraphVersion();
-  if (f.length > 0) {
-    writer.writeString(
-      1,
-      f
-    );
-  }
-  f = message.getStrippedOpList();
-  if (f != null) {
-    writer.writeMessage(
-      2,
-      f,
-      proto.tensorflow.OpList.serializeBinaryToWriter
-    );
-  }
-  f = message.getAnyInfo();
-  if (f != null) {
-    writer.writeMessage(
-      3,
-      f,
-      proto.tensorflow.Any.serializeBinaryToWriter
-    );
-  }
-  f = message.getTagsList();
-  if (f.length > 0) {
-    writer.writeRepeatedString(
-      4,
-      f
-    );
-  }
-  f = message.getTensorflowVersion();
-  if (f.length > 0) {
-    writer.writeString(
-      5,
-      f
-    );
-  }
-  f = message.getTensorflowGitVersion();
-  if (f.length > 0) {
-    writer.writeString(
-      6,
-      f
-    );
-  }
-};
-
-
-/**
- * optional string meta_graph_version = 1;
- * @return {string}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getMetaGraphVersion = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setMetaGraphVersion = function(value) {
-  jspb.Message.setProto3StringField(this, 1, value);
-};
-
-
-/**
- * optional OpList stripped_op_list = 2;
- * @return {?proto.tensorflow.OpList}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getStrippedOpList = function() {
-  return /** @type{?proto.tensorflow.OpList} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.OpList, 2));
-};
-
-
-/** @param {?proto.tensorflow.OpList|undefined} value */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setStrippedOpList = function(value) {
-  jspb.Message.setWrapperField(this, 2, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.clearStrippedOpList = function() {
-  this.setStrippedOpList(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.hasStrippedOpList = function() {
-  return jspb.Message.getField(this, 2) != null;
-};
-
-
-/**
- * optional Any any_info = 3;
- * @return {?proto.tensorflow.Any}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getAnyInfo = function() {
-  return /** @type{?proto.tensorflow.Any} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.Any, 3));
-};
-
-
-/** @param {?proto.tensorflow.Any|undefined} value */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setAnyInfo = function(value) {
-  jspb.Message.setWrapperField(this, 3, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.clearAnyInfo = function() {
-  this.setAnyInfo(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.hasAnyInfo = function() {
-  return jspb.Message.getField(this, 3) != null;
-};
-
-
-/**
- * repeated string tags = 4;
- * @return {!Array<string>}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getTagsList = function() {
-  return /** @type {!Array<string>} */ (jspb.Message.getRepeatedField(this, 4));
-};
-
-
-/** @param {!Array<string>} value */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setTagsList = function(value) {
-  jspb.Message.setField(this, 4, value || []);
-};
-
-
-/**
- * @param {string} value
- * @param {number=} opt_index
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.addTags = function(value, opt_index) {
-  jspb.Message.addToRepeatedField(this, 4, value, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.clearTagsList = function() {
-  this.setTagsList([]);
-};
-
-
-/**
- * optional string tensorflow_version = 5;
- * @return {string}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getTensorflowVersion = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 5, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setTensorflowVersion = function(value) {
-  jspb.Message.setProto3StringField(this, 5, value);
-};
-
-
-/**
- * optional string tensorflow_git_version = 6;
- * @return {string}
- */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getTensorflowGitVersion = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 6, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setTensorflowGitVersion = function(value) {
-  jspb.Message.setProto3StringField(this, 6, value);
-};
-
-
-/**
- * optional MetaInfoDef meta_info_def = 1;
- * @return {?proto.tensorflow.MetaGraphDef.MetaInfoDef}
- */
-proto.tensorflow.MetaGraphDef.prototype.getMetaInfoDef = function() {
-  return /** @type{?proto.tensorflow.MetaGraphDef.MetaInfoDef} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.MetaGraphDef.MetaInfoDef, 1));
-};
-
-
-/** @param {?proto.tensorflow.MetaGraphDef.MetaInfoDef|undefined} value */
-proto.tensorflow.MetaGraphDef.prototype.setMetaInfoDef = function(value) {
-  jspb.Message.setWrapperField(this, 1, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.MetaGraphDef.prototype.clearMetaInfoDef = function() {
-  this.setMetaInfoDef(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.MetaGraphDef.prototype.hasMetaInfoDef = function() {
-  return jspb.Message.getField(this, 1) != null;
-};
-
-
-/**
- * optional GraphDef graph_def = 2;
- * @return {?proto.tensorflow.GraphDef}
- */
-proto.tensorflow.MetaGraphDef.prototype.getGraphDef = function() {
-  return /** @type{?proto.tensorflow.GraphDef} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.GraphDef, 2));
-};
-
-
-/** @param {?proto.tensorflow.GraphDef|undefined} value */
-proto.tensorflow.MetaGraphDef.prototype.setGraphDef = function(value) {
-  jspb.Message.setWrapperField(this, 2, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.MetaGraphDef.prototype.clearGraphDef = function() {
-  this.setGraphDef(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.MetaGraphDef.prototype.hasGraphDef = function() {
-  return jspb.Message.getField(this, 2) != null;
-};
-
-
-/**
- * optional SaverDef saver_def = 3;
- * @return {?proto.tensorflow.SaverDef}
- */
-proto.tensorflow.MetaGraphDef.prototype.getSaverDef = function() {
-  return /** @type{?proto.tensorflow.SaverDef} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.SaverDef, 3));
-};
-
-
-/** @param {?proto.tensorflow.SaverDef|undefined} value */
-proto.tensorflow.MetaGraphDef.prototype.setSaverDef = function(value) {
-  jspb.Message.setWrapperField(this, 3, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.MetaGraphDef.prototype.clearSaverDef = function() {
-  this.setSaverDef(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.MetaGraphDef.prototype.hasSaverDef = function() {
-  return jspb.Message.getField(this, 3) != null;
-};
-
-
-/**
- * map<string, CollectionDef> collection_def = 4;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,!proto.tensorflow.CollectionDef>}
- */
-proto.tensorflow.MetaGraphDef.prototype.getCollectionDefMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,!proto.tensorflow.CollectionDef>} */ (
-      jspb.Message.getMapField(this, 4, opt_noLazyCreate,
-      proto.tensorflow.CollectionDef));
-};
-
-
-/**
- * Clears values from the map. The map will be non-null.
- */
-proto.tensorflow.MetaGraphDef.prototype.clearCollectionDefMap = function() {
-  this.getCollectionDefMap().clear();
-};
-
-
-/**
- * map<string, SignatureDef> signature_def = 5;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,!proto.tensorflow.SignatureDef>}
- */
-proto.tensorflow.MetaGraphDef.prototype.getSignatureDefMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,!proto.tensorflow.SignatureDef>} */ (
-      jspb.Message.getMapField(this, 5, opt_noLazyCreate,
-      proto.tensorflow.SignatureDef));
-};
-
-
-/**
- * Clears values from the map. The map will be non-null.
- */
-proto.tensorflow.MetaGraphDef.prototype.clearSignatureDefMap = function() {
-  this.getSignatureDefMap().clear();
-};
-
-
-/**
- * repeated AssetFileDef asset_file_def = 6;
- * @return {!Array<!proto.tensorflow.AssetFileDef>}
- */
-proto.tensorflow.MetaGraphDef.prototype.getAssetFileDefList = function() {
-  return /** @type{!Array<!proto.tensorflow.AssetFileDef>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.AssetFileDef, 6));
-};
-
-
-/** @param {!Array<!proto.tensorflow.AssetFileDef>} value */
-proto.tensorflow.MetaGraphDef.prototype.setAssetFileDefList = function(value) {
-  jspb.Message.setRepeatedWrapperField(this, 6, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.AssetFileDef=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.AssetFileDef}
- */
-proto.tensorflow.MetaGraphDef.prototype.addAssetFileDef = function(opt_value, opt_index) {
-  return jspb.Message.addToRepeatedWrapperField(this, 6, opt_value, proto.tensorflow.AssetFileDef, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.MetaGraphDef.prototype.clearAssetFileDefList = function() {
-  this.setAssetFileDefList([]);
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.SavedModel.repeatedFields_ = [2];
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.SavedModel.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.SavedModel.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.SavedModel} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.SavedModel.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    savedModelSchemaVersion: jspb.Message.getFieldWithDefault(msg, 1, 0),
-    metaGraphsList: jspb.Message.toObjectList(msg.getMetaGraphsList(),
-    proto.tensorflow.MetaGraphDef.toObject, includeInstance)
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.SavedModel}
- */
-proto.tensorflow.SavedModel.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.SavedModel;
-  return proto.tensorflow.SavedModel.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.SavedModel} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.SavedModel}
- */
-proto.tensorflow.SavedModel.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = /** @type {number} */ (reader.readInt64());
-      msg.setSavedModelSchemaVersion(value);
-      break;
-    case 2:
-      var value = new proto.tensorflow.MetaGraphDef;
-      reader.readMessage(value,proto.tensorflow.MetaGraphDef.deserializeBinaryFromReader);
-      msg.addMetaGraphs(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.SavedModel.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.SavedModel.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.SavedModel} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.SavedModel.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getSavedModelSchemaVersion();
-  if (f !== 0) {
-    writer.writeInt64(
-      1,
-      f
-    );
-  }
-  f = message.getMetaGraphsList();
-  if (f.length > 0) {
-    writer.writeRepeatedMessage(
-      2,
-      f,
-      proto.tensorflow.MetaGraphDef.serializeBinaryToWriter
-    );
-  }
-};
-
-
-/**
- * optional int64 saved_model_schema_version = 1;
- * @return {number}
- */
-proto.tensorflow.SavedModel.prototype.getSavedModelSchemaVersion = function() {
-  return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
-};
-
-
-/** @param {number} value */
-proto.tensorflow.SavedModel.prototype.setSavedModelSchemaVersion = function(value) {
-  jspb.Message.setProto3IntField(this, 1, value);
-};
-
-
-/**
- * repeated MetaGraphDef meta_graphs = 2;
- * @return {!Array<!proto.tensorflow.MetaGraphDef>}
- */
-proto.tensorflow.SavedModel.prototype.getMetaGraphsList = function() {
-  return /** @type{!Array<!proto.tensorflow.MetaGraphDef>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.MetaGraphDef, 2));
-};
-
-
-/** @param {!Array<!proto.tensorflow.MetaGraphDef>} value */
-proto.tensorflow.SavedModel.prototype.setMetaGraphsList = function(value) {
-  jspb.Message.setRepeatedWrapperField(this, 2, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.MetaGraphDef=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.MetaGraphDef}
- */
-proto.tensorflow.SavedModel.prototype.addMetaGraphs = function(opt_value, opt_index) {
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-
-
-/**
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- */
-proto.tensorflow.FunctionDefLibrary.prototype.clearFunctionList = function() {
-  this.setFunctionList([]);
-};
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-
-/**
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- * @return {!Array<!proto.tensorflow.GradientDef>}
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-
-/**
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-proto.tensorflow.FunctionDefLibrary.prototype.clearGradientList = function() {
-  this.setGradientList([]);
-};
-
-
-
-/**
- * List of repeated fields within this message type.
- * @private {!Array<number>}
- * @const
- */
-proto.tensorflow.FunctionDef.repeatedFields_ = [3];
-
-
-
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- * Field names that are reserved in JavaScript and will be renamed to pb_name.
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- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
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- *     JSPB instance for transitional soy proto support:
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- * @return {!Object}
- */
-proto.tensorflow.FunctionDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.FunctionDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
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- *     the JSPB instance for transitional soy proto support:
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- * @param {!proto.tensorflow.FunctionDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.FunctionDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    signature: (f = msg.getSignature()) && proto.tensorflow.OpDef.toObject(includeInstance, f),
-    attrMap: (f = msg.getAttrMap()) ? f.toObject(includeInstance, proto.tensorflow.AttrValue.toObject) : [],
-    nodeDefList: jspb.Message.toObjectList(msg.getNodeDefList(),
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-  if (includeInstance) {
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- * @return {!proto.tensorflow.FunctionDef}
- */
-proto.tensorflow.FunctionDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.FunctionDef;
-  return proto.tensorflow.FunctionDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.FunctionDef} msg The message object to deserialize into.
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- * @return {!proto.tensorflow.FunctionDef}
- */
-proto.tensorflow.FunctionDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = new proto.tensorflow.OpDef;
-      reader.readMessage(value,proto.tensorflow.OpDef.deserializeBinaryFromReader);
-      msg.setSignature(value);
-      break;
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-      var value = msg.getAttrMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.AttrValue.deserializeBinaryFromReader, "");
-         });
-      break;
-    case 3:
-      var value = new proto.tensorflow.NodeDef;
-      reader.readMessage(value,proto.tensorflow.NodeDef.deserializeBinaryFromReader);
-      msg.addNodeDef(value);
-      break;
-    case 4:
-      var value = msg.getRetMap();
-      reader.readMessage(value, function(message, reader) {
-        jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readString, null, "");
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-      reader.skipField();
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-  }
-  return msg;
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-
-
-/**
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- * @return {!Uint8Array}
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-proto.tensorflow.FunctionDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.FunctionDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.FunctionDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.FunctionDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getSignature();
-  if (f != null) {
-    writer.writeMessage(
-      1,
-      f,
-      proto.tensorflow.OpDef.serializeBinaryToWriter
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-  f = message.getAttrMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(5, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.AttrValue.serializeBinaryToWriter);
-  }
-  f = message.getNodeDefList();
-  if (f.length > 0) {
-    writer.writeRepeatedMessage(
-      3,
-      f,
-      proto.tensorflow.NodeDef.serializeBinaryToWriter
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-  }
-  f = message.getRetMap(true);
-  if (f && f.getLength() > 0) {
-    f.serializeBinary(4, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeString);
-  }
-};
-
-
-/**
- * optional OpDef signature = 1;
- * @return {?proto.tensorflow.OpDef}
- */
-proto.tensorflow.FunctionDef.prototype.getSignature = function() {
-  return /** @type{?proto.tensorflow.OpDef} */ (
-    jspb.Message.getWrapperField(this, proto.tensorflow.OpDef, 1));
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-
-
-/** @param {?proto.tensorflow.OpDef|undefined} value */
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-  jspb.Message.setWrapperField(this, 1, value);
-};
-
-
-/**
- * Clears the message field making it undefined.
- */
-proto.tensorflow.FunctionDef.prototype.clearSignature = function() {
-  this.setSignature(undefined);
-};
-
-
-/**
- * Returns whether this field is set.
- * @return {boolean}
- */
-proto.tensorflow.FunctionDef.prototype.hasSignature = function() {
-  return jspb.Message.getField(this, 1) != null;
-};
-
-
-/**
- * map<string, AttrValue> attr = 5;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,!proto.tensorflow.AttrValue>}
- */
-proto.tensorflow.FunctionDef.prototype.getAttrMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,!proto.tensorflow.AttrValue>} */ (
-      jspb.Message.getMapField(this, 5, opt_noLazyCreate,
-      proto.tensorflow.AttrValue));
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-
-/**
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- */
-proto.tensorflow.FunctionDef.prototype.clearAttrMap = function() {
-  this.getAttrMap().clear();
-};
-
-
-/**
- * repeated NodeDef node_def = 3;
- * @return {!Array<!proto.tensorflow.NodeDef>}
- */
-proto.tensorflow.FunctionDef.prototype.getNodeDefList = function() {
-  return /** @type{!Array<!proto.tensorflow.NodeDef>} */ (
-    jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.NodeDef, 3));
-};
-
-
-/** @param {!Array<!proto.tensorflow.NodeDef>} value */
-proto.tensorflow.FunctionDef.prototype.setNodeDefList = function(value) {
-  jspb.Message.setRepeatedWrapperField(this, 3, value);
-};
-
-
-/**
- * @param {!proto.tensorflow.NodeDef=} opt_value
- * @param {number=} opt_index
- * @return {!proto.tensorflow.NodeDef}
- */
-proto.tensorflow.FunctionDef.prototype.addNodeDef = function(opt_value, opt_index) {
-  return jspb.Message.addToRepeatedWrapperField(this, 3, opt_value, proto.tensorflow.NodeDef, opt_index);
-};
-
-
-/**
- * Clears the list making it empty but non-null.
- */
-proto.tensorflow.FunctionDef.prototype.clearNodeDefList = function() {
-  this.setNodeDefList([]);
-};
-
-
-/**
- * map<string, string> ret = 4;
- * @param {boolean=} opt_noLazyCreate Do not create the map if
- * empty, instead returning `undefined`
- * @return {!jspb.Map<string,string>}
- */
-proto.tensorflow.FunctionDef.prototype.getRetMap = function(opt_noLazyCreate) {
-  return /** @type {!jspb.Map<string,string>} */ (
-      jspb.Message.getMapField(this, 4, opt_noLazyCreate,
-      null));
-};
-
-
-/**
- * Clears values from the map. The map will be non-null.
- */
-proto.tensorflow.FunctionDef.prototype.clearRetMap = function() {
-  this.getRetMap().clear();
-};
-
-
-
-
-
-if (jspb.Message.GENERATE_TO_OBJECT) {
-/**
- * Creates an object representation of this proto.
- * Field names that are reserved in JavaScript and will be renamed to pb_name.
- * Optional fields that are not set will be set to undefined.
- * To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
- * For the list of reserved names please see:
- *     net/proto2/compiler/js/internal/generator.cc#kKeyword.
- * @param {boolean=} opt_includeInstance Deprecated. whether to include the
- *     JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @return {!Object}
- */
-proto.tensorflow.GradientDef.prototype.toObject = function(opt_includeInstance) {
-  return proto.tensorflow.GradientDef.toObject(opt_includeInstance, this);
-};
-
-
-/**
- * Static version of the {@see toObject} method.
- * @param {boolean|undefined} includeInstance Deprecated. Whether to include
- *     the JSPB instance for transitional soy proto support:
- *     http://goto/soy-param-migration
- * @param {!proto.tensorflow.GradientDef} msg The msg instance to transform.
- * @return {!Object}
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.GradientDef.toObject = function(includeInstance, msg) {
-  var f, obj = {
-    functionName: jspb.Message.getFieldWithDefault(msg, 1, ""),
-    gradientFunc: jspb.Message.getFieldWithDefault(msg, 2, "")
-  };
-
-  if (includeInstance) {
-    obj.$jspbMessageInstance = msg;
-  }
-  return obj;
-};
-}
-
-
-/**
- * Deserializes binary data (in protobuf wire format).
- * @param {jspb.ByteSource} bytes The bytes to deserialize.
- * @return {!proto.tensorflow.GradientDef}
- */
-proto.tensorflow.GradientDef.deserializeBinary = function(bytes) {
-  var reader = new jspb.BinaryReader(bytes);
-  var msg = new proto.tensorflow.GradientDef;
-  return proto.tensorflow.GradientDef.deserializeBinaryFromReader(msg, reader);
-};
-
-
-/**
- * Deserializes binary data (in protobuf wire format) from the
- * given reader into the given message object.
- * @param {!proto.tensorflow.GradientDef} msg The message object to deserialize into.
- * @param {!jspb.BinaryReader} reader The BinaryReader to use.
- * @return {!proto.tensorflow.GradientDef}
- */
-proto.tensorflow.GradientDef.deserializeBinaryFromReader = function(msg, reader) {
-  while (reader.nextField()) {
-    if (reader.isEndGroup()) {
-      break;
-    }
-    var field = reader.getFieldNumber();
-    switch (field) {
-    case 1:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setFunctionName(value);
-      break;
-    case 2:
-      var value = /** @type {string} */ (reader.readString());
-      msg.setGradientFunc(value);
-      break;
-    default:
-      reader.skipField();
-      break;
-    }
-  }
-  return msg;
-};
-
-
-/**
- * Serializes the message to binary data (in protobuf wire format).
- * @return {!Uint8Array}
- */
-proto.tensorflow.GradientDef.prototype.serializeBinary = function() {
-  var writer = new jspb.BinaryWriter();
-  proto.tensorflow.GradientDef.serializeBinaryToWriter(this, writer);
-  return writer.getResultBuffer();
-};
-
-
-/**
- * Serializes the given message to binary data (in protobuf wire
- * format), writing to the given BinaryWriter.
- * @param {!proto.tensorflow.GradientDef} message
- * @param {!jspb.BinaryWriter} writer
- * @suppress {unusedLocalVariables} f is only used for nested messages
- */
-proto.tensorflow.GradientDef.serializeBinaryToWriter = function(message, writer) {
-  var f = undefined;
-  f = message.getFunctionName();
-  if (f.length > 0) {
-    writer.writeString(
-      1,
-      f
-    );
-  }
-  f = message.getGradientFunc();
-  if (f.length > 0) {
-    writer.writeString(
-      2,
-      f
-    );
-  }
-};
-
-
-/**
- * optional string function_name = 1;
- * @return {string}
- */
-proto.tensorflow.GradientDef.prototype.getFunctionName = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.GradientDef.prototype.setFunctionName = function(value) {
-  jspb.Message.setProto3StringField(this, 1, value);
-};
-
-
-/**
- * optional string gradient_func = 2;
- * @return {string}
- */
-proto.tensorflow.GradientDef.prototype.getGradientFunc = function() {
-  return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
-};
-
-
-/** @param {string} value */
-proto.tensorflow.GradientDef.prototype.setGradientFunc = function(value) {
-  jspb.Message.setProto3StringField(this, 2, value);
-};
-
-
-/**
- * @enum {number}
- */
-proto.tensorflow.DataType = {
-  DT_INVALID: 0,
-  DT_FLOAT: 1,
-  DT_DOUBLE: 2,
-  DT_INT32: 3,
-  DT_UINT8: 4,
-  DT_INT16: 5,
-  DT_INT8: 6,
-  DT_STRING: 7,
-  DT_COMPLEX64: 8,
-  DT_INT64: 9,
-  DT_BOOL: 10,
-  DT_QINT8: 11,
-  DT_QUINT8: 12,
-  DT_QINT32: 13,
-  DT_BFLOAT16: 14,
-  DT_FLOAT_REF: 101,
-  DT_DOUBLE_REF: 102,
-  DT_INT32_REF: 103,
-  DT_UINT8_REF: 104,
-  DT_INT16_REF: 105,
-  DT_INT8_REF: 106,
-  DT_STRING_REF: 107,
-  DT_COMPLEX64_REF: 108,
-  DT_INT64_REF: 109,
-  DT_BOOL_REF: 110,
-  DT_QINT8_REF: 111,
-  DT_QUINT8_REF: 112,
-  DT_QINT32_REF: 113,
-  DT_BFLOAT16_REF: 114
-};
-
-goog.object.extend(exports, proto.tensorflow);
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/register_all_kernels.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/register_all_kernels.d.ts
deleted file mode 100644
index cb0ff5c3b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/register_all_kernels.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export {};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/register_all_kernels.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/register_all_kernels.js
deleted file mode 100644
index 8c4e4df5a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/register_all_kernels.js
+++ /dev/null
@@ -1,325 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-// We explicitly import the modular kernels so they get registered in the
-// global registry when we compile the library. A modular build would replace
-// the contents of this file and import only the kernels that are needed.
-var tfjs_1 = require("@tensorflow/tfjs");
-var _FusedMatMul_1 = require("./kernels/_FusedMatMul");
-var Abs_1 = require("./kernels/Abs");
-var Acos_1 = require("./kernels/Acos");
-var Acosh_1 = require("./kernels/Acosh");
-var Add_1 = require("./kernels/Add");
-var AddN_1 = require("./kernels/AddN");
-var All_1 = require("./kernels/All");
-var Any_1 = require("./kernels/Any");
-var ArgMax_1 = require("./kernels/ArgMax");
-var ArgMin_1 = require("./kernels/ArgMin");
-var Asin_1 = require("./kernels/Asin");
-var Asinh_1 = require("./kernels/Asinh");
-var Atan_1 = require("./kernels/Atan");
-var Atan2_1 = require("./kernels/Atan2");
-var Atanh_1 = require("./kernels/Atanh");
-var AvgPool_1 = require("./kernels/AvgPool");
-var AvgPool3D_1 = require("./kernels/AvgPool3D");
-var AvgPool3DGrad_1 = require("./kernels/AvgPool3DGrad");
-var AvgPoolGrad_1 = require("./kernels/AvgPoolGrad");
-var BatchMatMul_1 = require("./kernels/BatchMatMul");
-var BatchToSpaceND_1 = require("./kernels/BatchToSpaceND");
-var Bincount_1 = require("./kernels/Bincount");
-var Cast_1 = require("./kernels/Cast");
-var Ceil_1 = require("./kernels/Ceil");
-var ClipByValue_1 = require("./kernels/ClipByValue");
-var Complex_1 = require("./kernels/Complex");
-var ComplexAbs_1 = require("./kernels/ComplexAbs");
-var Concat_1 = require("./kernels/Concat");
-var Conv2D_1 = require("./kernels/Conv2D");
-var Conv2DBackpropFilter_1 = require("./kernels/Conv2DBackpropFilter");
-var Conv2DBackpropInput_1 = require("./kernels/Conv2DBackpropInput");
-var Conv3D_1 = require("./kernels/Conv3D");
-var Conv3DBackpropFilterV2_1 = require("./kernels/Conv3DBackpropFilterV2");
-var Conv3DBackpropInputV2_1 = require("./kernels/Conv3DBackpropInputV2");
-var Cos_1 = require("./kernels/Cos");
-var Cosh_1 = require("./kernels/Cosh");
-var CropAndResize_1 = require("./kernels/CropAndResize");
-var Cumsum_1 = require("./kernels/Cumsum");
-var DepthToSpace_1 = require("./kernels/DepthToSpace");
-var DepthwiseConv2dNative_1 = require("./kernels/DepthwiseConv2dNative");
-var DepthwiseConv2dNativeBackpropFilter_1 = require("./kernels/DepthwiseConv2dNativeBackpropFilter");
-var DepthwiseConv2dNativeBackpropInput_1 = require("./kernels/DepthwiseConv2dNativeBackpropInput");
-var Diag_1 = require("./kernels/Diag");
-var Dilation2D_1 = require("./kernels/Dilation2D");
-var Dilation2DBackpropFilter_1 = require("./kernels/Dilation2DBackpropFilter");
-var Dilation2DBackpropInput_1 = require("./kernels/Dilation2DBackpropInput");
-var Elu_1 = require("./kernels/Elu");
-var EluGrad_1 = require("./kernels/EluGrad");
-var Equal_1 = require("./kernels/Equal");
-var Erf_1 = require("./kernels/Erf");
-var Exp_1 = require("./kernels/Exp");
-var ExpandDims_1 = require("./kernels/ExpandDims");
-var Expm1_1 = require("./kernels/Expm1");
-var FFT_1 = require("./kernels/FFT");
-var Fill_1 = require("./kernels/Fill");
-var Floor_1 = require("./kernels/Floor");
-var FloorDiv_1 = require("./kernels/FloorDiv");
-var FusedBatchNorm_1 = require("./kernels/FusedBatchNorm");
-var FusedConv2D_1 = require("./kernels/FusedConv2D");
-var FusedDepthwiseConv2D_1 = require("./kernels/FusedDepthwiseConv2D");
-var GatherNd_1 = require("./kernels/GatherNd");
-var GatherV2_1 = require("./kernels/GatherV2");
-var Greater_1 = require("./kernels/Greater");
-var GreaterEqual_1 = require("./kernels/GreaterEqual");
-var Identity_1 = require("./kernels/Identity");
-var IFFT_1 = require("./kernels/IFFT");
-var Imag_1 = require("./kernels/Imag");
-var IsFinite_1 = require("./kernels/IsFinite");
-var IsInf_1 = require("./kernels/IsInf");
-var IsNan_1 = require("./kernels/IsNan");
-var LeakyRelu_1 = require("./kernels/LeakyRelu");
-var Less_1 = require("./kernels/Less");
-var LessEqual_1 = require("./kernels/LessEqual");
-var LinSpace_1 = require("./kernels/LinSpace");
-var Log_1 = require("./kernels/Log");
-var Log1p_1 = require("./kernels/Log1p");
-var LogicalAnd_1 = require("./kernels/LogicalAnd");
-var LogicalNot_1 = require("./kernels/LogicalNot");
-var LogicalOr_1 = require("./kernels/LogicalOr");
-var LRN_1 = require("./kernels/LRN");
-var LRNGrad_1 = require("./kernels/LRNGrad");
-var Max_1 = require("./kernels/Max");
-var Maximum_1 = require("./kernels/Maximum");
-var MaxPool_1 = require("./kernels/MaxPool");
-var MaxPool3D_1 = require("./kernels/MaxPool3D");
-var MaxPool3DGrad_1 = require("./kernels/MaxPool3DGrad");
-var MaxPoolGrad_1 = require("./kernels/MaxPoolGrad");
-var Mean_1 = require("./kernels/Mean");
-var Min_1 = require("./kernels/Min");
-var Minimum_1 = require("./kernels/Minimum");
-var MirrorPad_1 = require("./kernels/MirrorPad");
-var Mod_1 = require("./kernels/Mod");
-var Multinomial_1 = require("./kernels/Multinomial");
-var Multiply_1 = require("./kernels/Multiply");
-var Neg_1 = require("./kernels/Neg");
-var NonMaxSuppressionV3_1 = require("./kernels/NonMaxSuppressionV3");
-var NonMaxSuppressionV4_1 = require("./kernels/NonMaxSuppressionV4");
-var NonMaxSuppressionV5_1 = require("./kernels/NonMaxSuppressionV5");
-var NotEqual_1 = require("./kernels/NotEqual");
-var OneHot_1 = require("./kernels/OneHot");
-var OnesLike_1 = require("./kernels/OnesLike");
-var Pack_1 = require("./kernels/Pack");
-var PadV2_1 = require("./kernels/PadV2");
-var Pow_1 = require("./kernels/Pow");
-var Prelu_1 = require("./kernels/Prelu");
-var Prod_1 = require("./kernels/Prod");
-var Range_1 = require("./kernels/Range");
-var Real_1 = require("./kernels/Real");
-var RealDiv_1 = require("./kernels/RealDiv");
-var Reciprocal_1 = require("./kernels/Reciprocal");
-var Relu_1 = require("./kernels/Relu");
-var Relu6_1 = require("./kernels/Relu6");
-var Reshape_1 = require("./kernels/Reshape");
-var ResizeBilinear_1 = require("./kernels/ResizeBilinear");
-var ResizeBilinearGrad_1 = require("./kernels/ResizeBilinearGrad");
-var ResizeNearestNeighbor_1 = require("./kernels/ResizeNearestNeighbor");
-var ResizeNearestNeighborGrad_1 = require("./kernels/ResizeNearestNeighborGrad");
-var Reverse_1 = require("./kernels/Reverse");
-var Round_1 = require("./kernels/Round");
-var Rsqrt_1 = require("./kernels/Rsqrt");
-var ScatterNd_1 = require("./kernels/ScatterNd");
-var Select_1 = require("./kernels/Select");
-var Selu_1 = require("./kernels/Selu");
-var Sigmoid_1 = require("./kernels/Sigmoid");
-var Sign_1 = require("./kernels/Sign");
-var Sin_1 = require("./kernels/Sin");
-var Sinh_1 = require("./kernels/Sinh");
-var Slice_1 = require("./kernels/Slice");
-var Softmax_1 = require("./kernels/Softmax");
-var Softplus_1 = require("./kernels/Softplus");
-var SpaceToBatchND_1 = require("./kernels/SpaceToBatchND");
-var SparseToDense_1 = require("./kernels/SparseToDense");
-var SplitV_1 = require("./kernels/SplitV");
-var Sqrt_1 = require("./kernels/Sqrt");
-var Square_1 = require("./kernels/Square");
-var SquaredDifference_1 = require("./kernels/SquaredDifference");
-var Step_1 = require("./kernels/Step");
-var StridedSlice_1 = require("./kernels/StridedSlice");
-var Sub_1 = require("./kernels/Sub");
-var Sum_1 = require("./kernels/Sum");
-var Tan_1 = require("./kernels/Tan");
-var Tanh_1 = require("./kernels/Tanh");
-var Tile_1 = require("./kernels/Tile");
-var TopK_1 = require("./kernels/TopK");
-var Transpose_1 = require("./kernels/Transpose");
-var Unpack_1 = require("./kernels/Unpack");
-var UnsortedSegmentSum_1 = require("./kernels/UnsortedSegmentSum");
-var ZerosLike_1 = require("./kernels/ZerosLike");
-// List all kernel configs here
-var kernelConfigs = [
-    FFT_1.FFTConfig,
-    IFFT_1.IFFTConfig,
-    LRN_1.LRNConfig,
-    LRNGrad_1.LRNGradConfig,
-    _FusedMatMul_1._fusedMatMulConfig,
-    Abs_1.absConfig,
-    Acos_1.acosConfig,
-    Acosh_1.acoshConfig,
-    Add_1.addConfig,
-    AddN_1.addNConfig,
-    All_1.allConfig,
-    Any_1.anyConfig,
-    ArgMax_1.argMaxConfig,
-    ArgMin_1.argMinConfig,
-    Asin_1.asinConfig,
-    Asinh_1.asinhConfig,
-    Atan2_1.atan2Config,
-    Atan_1.atanConfig,
-    Atanh_1.atanhConfig,
-    AvgPool3D_1.avgPool3DConfig,
-    AvgPool3DGrad_1.avgPool3DGradConfig,
-    AvgPool_1.avgPoolConfig,
-    AvgPoolGrad_1.avgPoolGradConfig,
-    BatchMatMul_1.batchMatMulConfig,
-    BatchToSpaceND_1.batchToSpaceNDConfig,
-    Cast_1.castConfig,
-    Ceil_1.ceilConfig,
-    ClipByValue_1.clipByValueConfig,
-    ComplexAbs_1.complexAbsConfig,
-    Complex_1.complexConfig,
-    Concat_1.concatConfig,
-    Conv2DBackpropFilter_1.conv2DBackpropFilterConfig,
-    Conv2DBackpropInput_1.conv2DBackpropInputConfig,
-    Conv2D_1.conv2DConfig,
-    Conv3DBackpropFilterV2_1.conv3DBackpropFilterV2Config,
-    Conv3DBackpropInputV2_1.conv3DBackpropInputV2Config,
-    Conv3D_1.conv3DConfig,
-    Cos_1.cosConfig,
-    Cosh_1.coshConfig,
-    CropAndResize_1.cropAndResizeConfig,
-    Cumsum_1.cumsumConfig,
-    Bincount_1.bincountConfig,
-    DepthToSpace_1.depthToSpaceConfig,
-    DepthwiseConv2dNativeBackpropFilter_1.depthwiseConv2dNativeBackpropFilterConfig,
-    DepthwiseConv2dNativeBackpropInput_1.depthwiseConv2dNativeBackpropInputConfig,
-    DepthwiseConv2dNative_1.depthwiseConv2dNativeConfig,
-    Diag_1.diagConfig,
-    Dilation2DBackpropFilter_1.dilation2dBackpropFilterConfig,
-    Dilation2DBackpropInput_1.dilation2dBackpropInputConfig,
-    Dilation2D_1.dilation2dConfig,
-    Elu_1.eluConfig,
-    EluGrad_1.eluGradConfig,
-    Equal_1.equalConfig,
-    Erf_1.erfConfig,
-    Exp_1.expConfig,
-    ExpandDims_1.expandDimsConfig,
-    Expm1_1.expm1Config,
-    Fill_1.fillConfig,
-    Floor_1.floorConfig,
-    FloorDiv_1.floorDivConfig,
-    FusedBatchNorm_1.fusedBatchNormConfig,
-    FusedConv2D_1.fusedConv2DConfig,
-    FusedDepthwiseConv2D_1.fusedDepthwiseConv2DConfig,
-    GatherNd_1.gatherNdConfig,
-    GatherV2_1.gatherV2Config,
-    Greater_1.greaterConfig,
-    GreaterEqual_1.greaterEqualConfig,
-    Identity_1.identityConfig,
-    Imag_1.imagConfig,
-    IsFinite_1.isFiniteConfig,
-    IsInf_1.isInfConfig,
-    IsNan_1.isNanConfig,
-    LeakyRelu_1.leakyReluConfig,
-    Less_1.lessConfig,
-    LessEqual_1.lessEqualConfig,
-    LinSpace_1.linSpaceConfig,
-    Log1p_1.log1pConfig,
-    Log_1.logConfig,
-    LogicalAnd_1.logicalAndConfig,
-    LogicalNot_1.logicalNotConfig,
-    LogicalOr_1.logicalOrConfig,
-    Max_1.maxConfig,
-    MaxPool3D_1.maxPool3DConfig,
-    MaxPool3DGrad_1.maxPool3DGradConfig,
-    MaxPool_1.maxPoolConfig,
-    MaxPoolGrad_1.maxPoolGradConfig,
-    Maximum_1.maximumConfig,
-    Mean_1.meanConfig,
-    Min_1.minConfig,
-    Minimum_1.minimumConfig,
-    MirrorPad_1.mirrorPadConfig,
-    Mod_1.modConfig,
-    Multinomial_1.multinomialConfig,
-    Multiply_1.multiplyConfig,
-    Neg_1.negConfig,
-    NonMaxSuppressionV3_1.nonMaxSuppressionV3Config,
-    NonMaxSuppressionV4_1.nonMaxSuppressionV4Config,
-    NonMaxSuppressionV5_1.nonMaxSuppressionV5Config,
-    NotEqual_1.notEqualConfig,
-    OneHot_1.oneHotConfig,
-    OnesLike_1.onesLikeConfig,
-    Pack_1.packConfig,
-    PadV2_1.padV2Config,
-    Pow_1.powConfig,
-    Prelu_1.preluConfig,
-    Prod_1.prodConfig,
-    Range_1.rangeConfig,
-    Real_1.realConfig,
-    RealDiv_1.realDivConfig,
-    Reciprocal_1.reciprocalConfig,
-    Relu6_1.relu6Config,
-    Relu_1.reluConfig,
-    Reshape_1.reshapeConfig,
-    ResizeBilinear_1.resizeBilinearConfig,
-    ResizeBilinearGrad_1.resizeBilinearGradConfig,
-    ResizeNearestNeighbor_1.resizeNearestNeighborConfig,
-    ResizeNearestNeighborGrad_1.resizeNearestNeighborGradConfig,
-    Reverse_1.reverseConfig,
-    Round_1.roundConfig,
-    Rsqrt_1.rsqrtConfig,
-    ScatterNd_1.scatterNdConfig,
-    Select_1.selectConfig,
-    Selu_1.seluConfig,
-    Sigmoid_1.sigmoidConfig,
-    Sign_1.signConfig,
-    Sin_1.sinConfig,
-    Sinh_1.sinhConfig,
-    Slice_1.sliceConfig,
-    Softmax_1.softmaxConfig,
-    Softplus_1.softplusConfig,
-    SpaceToBatchND_1.spaceToBatchNDConfig,
-    SparseToDense_1.sparseToDenseConfig,
-    SplitV_1.splitVConfig,
-    Sqrt_1.sqrtConfig,
-    Square_1.squareConfig,
-    SquaredDifference_1.squaredDifferenceConfig,
-    Step_1.stepConfig,
-    StridedSlice_1.stridedSliceConfig,
-    Sub_1.subConfig,
-    Sum_1.sumConfig,
-    Tan_1.tanConfig,
-    Tanh_1.tanhConfig,
-    Tile_1.tileConfig,
-    TopK_1.topKConfig,
-    Transpose_1.transposeConfig,
-    Unpack_1.unpackConfig,
-    UnsortedSegmentSum_1.unsortedSegmentSumConfig,
-    ZerosLike_1.zerosLikeConfig
-];
-for (var _i = 0, kernelConfigs_1 = kernelConfigs; _i < kernelConfigs_1.length; _i++) {
-    var kernelConfig = kernelConfigs_1[_i];
-    tfjs_1.registerKernel(kernelConfig);
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/run_tests.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/run_tests.d.ts
deleted file mode 100644
index 7bcbd5871..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/run_tests.d.ts
+++ /dev/null
@@ -1,20 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import './index';
-import '@tensorflow/tfjs-core/dist/public/chained_ops/register_all_chained_ops';
-import '@tensorflow/tfjs-core/dist/register_all_gradients';
-import '@tensorflow/tfjs-core/dist/tests';
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/run_tests.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/run_tests.js
deleted file mode 100644
index 3442d80b5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/run_tests.js
+++ /dev/null
@@ -1,138 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-// We import index.ts so that the Node backend gets registered.
-require("./index");
-// tslint:disable-next-line: no-imports-from-dist
-require("@tensorflow/tfjs-core/dist/public/chained_ops/register_all_chained_ops");
-// tslint:disable-next-line: no-imports-from-dist
-require("@tensorflow/tfjs-core/dist/register_all_gradients");
-var tf = require("@tensorflow/tfjs");
-// tslint:disable-next-line:no-imports-from-dist
-var jasmine_util = require("@tensorflow/tfjs-core/dist/jasmine_util");
-var yargs_1 = require("yargs");
-Error.stackTraceLimit = Infinity;
-// tslint:disable-next-line:no-require-imports
-var jasmineCtor = require('jasmine');
-// tslint:disable-next-line:no-require-imports
-process.on('unhandledRejection', function (e) {
-    throw e;
-});
-jasmine_util.setTestEnvs([{
-        name: 'test-tensorflow',
-        backendName: 'tensorflow',
-        flags: {},
-        isDataSync: true
-    }]);
-var IGNORE_LIST = [
-    // Always ignore version tests:
-    'version version',
-    'unreliable is true due to both auto gc and string tensors',
-    'unreliable is true due to auto gc',
-    // See https://github.com/tensorflow/tfjs/issues/161
-    'depthwiseConv2D',
-    'separableConv2d',
-    'complex64 memory',
-    // See https://github.com/tensorflow/tfjs-core/pull/1270
-    'depthToSpace test-tensorflow {} throws when blocksize < 2',
-    // tslint:disable-next-line:max-line-length
-    'depthToSpace test-tensorflow {} throws when CPU backend used with data format NCHW',
-    // See https://github.com/tensorflow/tfjs/issues/806
-    'scatterND test-tensorflow {} should work for 2d',
-    'scatterND test-tensorflow {} should work for simple 1d',
-    'scatterND test-tensorflow {} should work for multiple 1d',
-    'scatterND test-tensorflow {} should sum the duplicated indices',
-    'scatterND test-tensorflow {} should work for tensorLike input',
-    // https://github.com/tensorflow/tfjs/issues/1077
-    'maxPool test-tensorflow {} x=[2,2,3] f=[1,1] s=2 p=1 dimRoundingMode=floor',
-    'avgPool test-tensorflow {} x=[2,2,3] f=[1,1] s=2 p=1 dimRoundingMode=floor',
-    // tslint:disable-next-line:max-line-length
-    'avgPool3d test-tensorflow {} x=[1,2,2,2,1] f=[2,2,2] s=1 p=1 roundingMode=floor',
-    // tslint:disable-next-line:max-line-length
-    'maxPool3d test-tensorflow {} x=[1,2,2,2,1] f=[2,2,2] s=1 p=1 roundingMode=floor',
-    // libtensorflow doesn't support 6D ArgMax yet.
-    'argmax test-tensorflow {} 6D, axis=0', 'diag test-tensorflow {} complex',
-    'diag test-tensorflow {} bool',
-    // See https://github.com/tensorflow/tfjs/issues/1891
-    'conv2d test-tensorflow {} x=[2,1,2,2] f=[1,1,1,1] s=1 d=1 p=0 NCHW',
-    'conv2d test-tensorflow {} x=[1,2,2] f=[2,2,1,1] s=1 d=1 p=explicit NCHW',
-    'conv2d test-tensorflow {} x=[1,2,2] f=[2,2,1,1] s=1 d=1 p=same NCHW',
-    'conv2d test-tensorflow {} x=[2,2,2] f=[2,2,2,1] s=1 d=1 p=same NCHW',
-    'conv2d test-tensorflow {} x=[2,1,2,2] f=[2,2,1,1] s=1 d=1 p=same NCHW',
-    'conv2d test-tensorflow {} gradient x=[1,1,3,3] f=[2,2,1,1] s=1 p=0 NCHW',
-    'conv2d test-tensorflow {} gradient x=[2,1,3,3] f=[2,2,1,1] s=1 p=0 NCHW',
-    'maxPoolWithArgmax', 'rotate', 'flipLeftRight', 'unique',
-    // libtensorflow does not yet support tf.matmul with broadcast
-    'broadcast with unequal batch dims', 'broadcast with unequal ranks',
-    // tslint:disable-next-line:max-line-length
-    'pool test-tensorflow {} max x=[2,2,3] f=[1,1] s=2 p=1 fractional outputs default rounding',
-    // tslint:disable-next-line:max-line-length
-    'pool test-tensorflow {} avg x=[2,2,3] f=[1,1] s=2 p=1 fractional outputs default rounding',
-    // not available in tf yet.
-    'denseBincount',
-    // only available in tf addon.
-    'image.transform',
-    // Breaking change in NaN processing
-    // See https://github.com/tensorflow/tfjs/issues/4883
-    'max test-tensorflow {} ignores NaNs', 'min test-tensorflow {} ignores NaNs',
-    'sign test-tensorflow {} basic',
-    'sign test-tensorflow {} does not propagate NaNs',
-    'sign test-tensorflow {} accepts a tensor-like object',
-    // Node kernel for einsum is yet to be implemented.
-    // See: ttps://github.com/tensorflow/tfjs/issues/2349
-    'einsum', 'sparseFillEmptyRows', 'sparseReshape'
-];
-if (process.platform === 'win32') {
-    // Ignore tensorboard on windows because tmp folder cleanup used in tests
-    // fails with tmp folder cleanup:
-    // https://github.com/tensorflow/tfjs/issues/1692
-    IGNORE_LIST.push('tensorboard');
-    IGNORE_LIST.push('tensorBoard');
-    // Windows has two failing tests:
-    // https://github.com/tensorflow/tfjs/issues/598
-    IGNORE_LIST.push('clip test-tensorflow {} propagates NaNs');
-    IGNORE_LIST.push('maxPool test-tensorflow {} [x=[3,3,1] f=[2,2] s=1 ignores NaNs');
-}
-var runner = new jasmineCtor();
-runner.loadConfig({ spec_files: ['src/**/*_test.ts'], random: false });
-// Also import tests from core.
-// tslint:disable-next-line: no-imports-from-dist
-require("@tensorflow/tfjs-core/dist/tests");
-if (process.env.JASMINE_SEED) {
-    runner.seed(process.env.JASMINE_SEED);
-}
-var env = jasmine.getEnv();
-var grepRegex = new RegExp(yargs_1.argv.grep);
-// Filter method that returns boolean, if a given test should return.
-env.specFilter = function (spec) {
-    // Filter based on the grep flag.
-    if (!grepRegex.test(spec.getFullName())) {
-        return false;
-    }
-    // Return false (skip the test) if the test is in the ignore list.
-    for (var i = 0; i < IGNORE_LIST.length; ++i) {
-        if (spec.getFullName().indexOf(IGNORE_LIST[i]) > -1) {
-            return false;
-        }
-    }
-    // Otherwise run the test.
-    return true;
-};
-// TODO(kreeger): Consider moving to C-code.
-console.log("Running tests against TensorFlow: " + tf.backend().binding.TF_Version);
-runner.execute();
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model.d.ts
deleted file mode 100644
index 0a9c6d973..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model.d.ts
+++ /dev/null
@@ -1,158 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { InferenceModel, MetaGraph, ModelPredictConfig, ModelTensorInfo, NamedTensorMap, SignatureDefEntry, Tensor } from '@tensorflow/tfjs';
-import { NodeJSKernelBackend } from './nodejs_kernel_backend';
-/**
- * Get a key in an object by its value. This is used to get protobuf enum value
- * from index.
- *
- * @param object
- * @param value
- */
-export declare function getEnumKeyFromValue(object: any, value: number): string;
-/**
- * Read SavedModel proto message from path.
- *
- * @param path Path to SavedModel folder.
- */
-export declare function readSavedModelProto(path: string): Promise<any>;
-/**
- * Inspect the MetaGraphs of the SavedModel from the provided path. This
- * function will return an array of `MetaGraphInfo` objects.
- *
- * @param path Path to SavedModel folder.
- *
- * @doc {heading: 'Models', subheading: 'SavedModel', namespace: 'node'}
- */
-export declare function getMetaGraphsFromSavedModel(path: string): Promise<MetaGraph[]>;
-/**
- * Get SignatureDefEntry from SavedModel metagraphs info. The SignatureDefEntry
- * will be used when executing a SavedModel signature.
- *
- * @param savedModelInfo The MetaGraphInfo array loaded through
- *     getMetaGraphsFromSavedModel().
- * @param tags The tags of the MetaGraph to get input/output node names from.
- * @param signature The signature to get input/output node names from.
- */
-export declare function getSignatureDefEntryFromMetaGraphInfo(savedModelInfo: MetaGraph[], tags: string[], signature: string): SignatureDefEntry;
-/**
- * A `tf.TFSavedModel` is a signature loaded from a SavedModel
- * metagraph, and allows inference execution.
- *
- * @doc {heading: 'Models', subheading: 'SavedModel', namespace: 'node'}
- */
-export declare class TFSavedModel implements InferenceModel {
-    private sessionId;
-    private jsid;
-    private signature;
-    private backend;
-    private disposed;
-    private outputNodeNames_;
-    constructor(sessionId: number, jsid: number, signature: SignatureDefEntry, backend: NodeJSKernelBackend);
-    /**
-     * Return the array of input tensor info.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    readonly inputs: ModelTensorInfo[];
-    /**
-     * Return the array of output tensor info.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    readonly outputs: ModelTensorInfo[];
-    /**
-     * Delete the SavedModel from nodeBackend and delete corresponding session in
-     * the C++ backend if the session is only used by this TFSavedModel.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    dispose(): void;
-    readonly outputNodeNames: {
-        [key: string]: string;
-    };
-    /**
-     * Execute the inference for the input tensors.
-     *
-     * @param input The input tensors, when there is single input for the model,
-     * inputs param should be a Tensor. For models with multiple inputs, inputs
-     * params should be in either Tensor[] if the input order is fixed, or
-     * otherwise NamedTensorMap format. The keys in the NamedTensorMap are the
-     * name of input tensors in SavedModel signatureDef. It can be found through
-     * `tf.node.getMetaGraphsFromSavedModel()`.
-     *
-     * For batch inference execution, the tensors for each input need to be
-     * concatenated together. For example with mobilenet, the required input shape
-     * is [1, 244, 244, 3], which represents the [batch, height, width, channel].
-     * If we are provide a batched data of 100 images, the input tensor should be
-     * in the shape of [100, 244, 244, 3].
-     *
-     * @param config Prediction configuration for specifying the batch size.
-     *
-     * @returns Inference result tensors. The output would be single Tensor if
-     * model has single output node, otherwise Tensor[] or NamedTensorMap[] will
-     * be returned for model with multiple outputs.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    predict(inputs: Tensor | Tensor[] | NamedTensorMap, config?: ModelPredictConfig): Tensor | Tensor[] | NamedTensorMap;
-    /**
-     * Execute the inference for the input tensors and return activation
-     * values for specified output node names without batching.
-     *
-     * @param input The input tensors, when there is single input for the model,
-     * inputs param should be a Tensor. For models with multiple inputs, inputs
-     * params should be in either Tensor[] if the input order is fixed, or
-     * otherwise NamedTensorMap format.
-     *
-     * @param outputs string|string[]. List of output node names to retrieve
-     * activation from.
-     *
-     * @returns Activation values for the output nodes result tensors. The return
-     * type matches specified parameter outputs type. The output would be single
-     * Tensor if single output is specified, otherwise Tensor[] for multiple
-     * outputs.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    execute(inputs: Tensor | Tensor[] | NamedTensorMap, outputs: string | string[]): Tensor | Tensor[];
-}
-/**
- * Load a TensorFlow SavedModel from disk. TensorFlow SavedModel is different
- * from TensorFlow.js model format. A SavedModel is a directory containing
- * serialized signatures and the states needed to run them. The directory has a
- * saved_model.pb (or saved_model.pbtxt) file storing the actual TensorFlow
- * program, or model, and a set of named signatures, each identifying a
- * function. The directory also has a variables directory contains a standard
- * training checkpoint. The directory may also has a assets directory contains
- * files used by the TensorFlow graph, for example text files used to initialize
- * vocabulary tables. These are supported datatypes: float32, int32, complex64,
- * string.For more information, see this guide:
- * https://www.tensorflow.org/guide/saved_model.
- *
- * @param path The path to the SavedModel.
- * @param tags The tags of the MetaGraph to load. The available tags of a
- *     SavedModel can be retrieved through tf.node.getMetaGraphsFromSavedModel()
- *     API. Defaults to ['serve'].
- * @param signature The name of the SignatureDef to load. The available
- *     SignatureDefs of a SavedModel can be retrieved through
- *     tf.node.getMetaGraphsFromSavedModel() API. Defaults to 'serving_default'.
- *
- * @doc {heading: 'Models', subheading: 'SavedModel', namespace: 'node'}
- */
-export declare function loadSavedModel(path: string, tags?: string[], signature?: string): Promise<TFSavedModel>;
-export declare function getNumOfSavedModels(): number;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model.js
deleted file mode 100644
index 19ed851ab..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model.js
+++ /dev/null
@@ -1,493 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
-    return new (P || (P = Promise))(function (resolve, reject) {
-        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
-        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
-        step((generator = generator.apply(thisArg, _arguments || [])).next());
-    });
-};
-var __generator = (this && this.__generator) || function (thisArg, body) {
-    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
-    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
-    function verb(n) { return function (v) { return step([n, v]); }; }
-    function step(op) {
-        if (f) throw new TypeError("Generator is already executing.");
-        while (_) try {
-            if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
-            if (y = 0, t) op = [op[0] & 2, t.value];
-            switch (op[0]) {
-                case 0: case 1: t = op; break;
-                case 4: _.label++; return { value: op[1], done: false };
-                case 5: _.label++; y = op[1]; op = [0]; continue;
-                case 7: op = _.ops.pop(); _.trys.pop(); continue;
-                default:
-                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
-                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
-                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
-                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
-                    if (t[2]) _.ops.pop();
-                    _.trys.pop(); continue;
-            }
-            op = body.call(thisArg, _);
-        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
-        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
-    }
-};
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var fs = require("fs");
-var util_1 = require("util");
-var nodejs_kernel_backend_1 = require("./nodejs_kernel_backend");
-var readFile = util_1.promisify(fs.readFile);
-// tslint:disable-next-line:no-require-imports
-var messages = require('./proto/api_pb');
-var SAVED_MODEL_FILE_NAME = '/saved_model.pb';
-var SAVED_MODEL_INIT_OP_KEY = '__saved_model_init_op';
-// This map is used to keep track of loaded SavedModel metagraph mapping
-// information. The map key is TFSavedModel id in JavaScript, value is
-// an object of path to the SavedModel, metagraph tags, and loaded Session ID in
-// the c++ bindings. When user loads a SavedModel signature, it will go through
-// entries in this map to find if the corresponding SavedModel session has
-// already been loaded in C++ addon and will reuse it if existing.
-var loadedSavedModelPathMap = new Map();
-// The ID of loaded TFSavedModel. This ID is used to keep track of loaded
-// TFSavedModel, so the loaded session in c++ bindings for the corresponding
-// TFSavedModel can be properly reused/disposed.
-var nextTFSavedModelId = 0;
-/**
- * Get a key in an object by its value. This is used to get protobuf enum value
- * from index.
- *
- * @param object
- * @param value
- */
-// tslint:disable-next-line:no-any
-function getEnumKeyFromValue(object, value) {
-    return Object.keys(object).find(function (key) { return object[key] === value; });
-}
-exports.getEnumKeyFromValue = getEnumKeyFromValue;
-/**
- * Read SavedModel proto message from path.
- *
- * @param path Path to SavedModel folder.
- */
-function readSavedModelProto(path) {
-    return __awaiter(this, void 0, void 0, function () {
-        var modelFile, array;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    // Load the SavedModel pb file and deserialize it into message.
-                    try {
-                        fs.accessSync(path + SAVED_MODEL_FILE_NAME, fs.constants.R_OK);
-                    }
-                    catch (error) {
-                        throw new Error('There is no saved_model.pb file in the directory: ' + path);
-                    }
-                    return [4 /*yield*/, readFile(path + SAVED_MODEL_FILE_NAME)];
-                case 1:
-                    modelFile = _a.sent();
-                    array = new Uint8Array(modelFile);
-                    return [2 /*return*/, messages.SavedModel.deserializeBinary(array)];
-            }
-        });
-    });
-}
-exports.readSavedModelProto = readSavedModelProto;
-/**
- * Inspect the MetaGraphs of the SavedModel from the provided path. This
- * function will return an array of `MetaGraphInfo` objects.
- *
- * @param path Path to SavedModel folder.
- *
- * @doc {heading: 'Models', subheading: 'SavedModel', namespace: 'node'}
- */
-function getMetaGraphsFromSavedModel(path) {
-    return __awaiter(this, void 0, void 0, function () {
-        var result, modelMessage, metaGraphList, i, metaGraph, tags, signatureDef, signatureDefMap, signatureDefKeys, key, signatureDefEntry, inputsMapMessage, inputsMapKeys, inputs, inputsMapKey, inputTensor, inputTensorInfo, dtype, outputsMapMessage, outputsMapKeys, outputs, outputsMapKey, outputTensor, outputTensorInfo, dtype;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    result = [];
-                    return [4 /*yield*/, readSavedModelProto(path)];
-                case 1:
-                    modelMessage = _a.sent();
-                    metaGraphList = modelMessage.getMetaGraphsList();
-                    for (i = 0; i < metaGraphList.length; i++) {
-                        metaGraph = {};
-                        tags = metaGraphList[i].getMetaInfoDef().getTagsList();
-                        metaGraph.tags = tags;
-                        signatureDef = {};
-                        signatureDefMap = metaGraphList[i].getSignatureDefMap();
-                        signatureDefKeys = signatureDefMap.keys();
-                        // Go through all signatureDefs
-                        while (true) {
-                            key = signatureDefKeys.next();
-                            if (key.done) {
-                                break;
-                            }
-                            // Skip TensorFlow internal Signature '__saved_model_init_op'.
-                            if (key.value === SAVED_MODEL_INIT_OP_KEY) {
-                                continue;
-                            }
-                            signatureDefEntry = signatureDefMap.get(key.value);
-                            inputsMapMessage = signatureDefEntry.getInputsMap();
-                            inputsMapKeys = inputsMapMessage.keys();
-                            inputs = {};
-                            while (true) {
-                                inputsMapKey = inputsMapKeys.next();
-                                if (inputsMapKey.done) {
-                                    break;
-                                }
-                                inputTensor = inputsMapMessage.get(inputsMapKey.value);
-                                inputTensorInfo = {};
-                                dtype = getEnumKeyFromValue(messages.DataType, inputTensor.getDtype());
-                                inputTensorInfo.dtype = mapTFDtypeToJSDtype(dtype);
-                                inputTensorInfo.tfDtype = dtype;
-                                inputTensorInfo.name = inputTensor.getName();
-                                inputTensorInfo.shape = inputTensor.getTensorShape().getDimList();
-                                inputs[inputsMapKey.value] = inputTensorInfo;
-                            }
-                            outputsMapMessage = signatureDefEntry.getOutputsMap();
-                            outputsMapKeys = outputsMapMessage.keys();
-                            outputs = {};
-                            while (true) {
-                                outputsMapKey = outputsMapKeys.next();
-                                if (outputsMapKey.done) {
-                                    break;
-                                }
-                                outputTensor = outputsMapMessage.get(outputsMapKey.value);
-                                outputTensorInfo = {};
-                                dtype = getEnumKeyFromValue(messages.DataType, outputTensor.getDtype());
-                                outputTensorInfo.dtype = mapTFDtypeToJSDtype(dtype);
-                                outputTensorInfo.tfDtype = dtype;
-                                outputTensorInfo.name = outputTensor.getName();
-                                outputTensorInfo.shape = outputTensor.getTensorShape().getDimList();
-                                outputs[outputsMapKey.value] = outputTensorInfo;
-                            }
-                            signatureDef[key.value] = { inputs: inputs, outputs: outputs };
-                        }
-                        metaGraph.signatureDefs = signatureDef;
-                        result.push(metaGraph);
-                    }
-                    return [2 /*return*/, result];
-            }
-        });
-    });
-}
-exports.getMetaGraphsFromSavedModel = getMetaGraphsFromSavedModel;
-/**
- * Get SignatureDefEntry from SavedModel metagraphs info. The SignatureDefEntry
- * will be used when executing a SavedModel signature.
- *
- * @param savedModelInfo The MetaGraphInfo array loaded through
- *     getMetaGraphsFromSavedModel().
- * @param tags The tags of the MetaGraph to get input/output node names from.
- * @param signature The signature to get input/output node names from.
- */
-function getSignatureDefEntryFromMetaGraphInfo(savedModelInfo, tags, signature) {
-    for (var i = 0; i < savedModelInfo.length; i++) {
-        var metaGraphInfo = savedModelInfo[i];
-        if (stringArraysHaveSameElements(tags, metaGraphInfo.tags)) {
-            if (metaGraphInfo.signatureDefs[signature] == null) {
-                throw new Error('The SavedModel does not have signature: ' + signature);
-            }
-            return metaGraphInfo.signatureDefs[signature];
-        }
-    }
-    throw new Error("The SavedModel does not have tags: " + tags);
-}
-exports.getSignatureDefEntryFromMetaGraphInfo = getSignatureDefEntryFromMetaGraphInfo;
-/**
- * A `tf.TFSavedModel` is a signature loaded from a SavedModel
- * metagraph, and allows inference execution.
- *
- * @doc {heading: 'Models', subheading: 'SavedModel', namespace: 'node'}
- */
-var TFSavedModel = /** @class */ (function () {
-    function TFSavedModel(sessionId, jsid, signature, backend) {
-        this.sessionId = sessionId;
-        this.jsid = jsid;
-        this.signature = signature;
-        this.backend = backend;
-        this.disposed = false;
-    }
-    Object.defineProperty(TFSavedModel.prototype, "inputs", {
-        /**
-         * Return the array of input tensor info.
-         *
-         * @doc {heading: 'Models', subheading: 'SavedModel'}
-         */
-        get: function () {
-            var entries = this.signature.inputs;
-            var results = Object.keys(entries).map(function (key) { return entries[key]; });
-            results.forEach(function (info) {
-                info.name = info.name.replace(/:0$/, '');
-            });
-            return results;
-        },
-        enumerable: true,
-        configurable: true
-    });
-    Object.defineProperty(TFSavedModel.prototype, "outputs", {
-        /**
-         * Return the array of output tensor info.
-         *
-         * @doc {heading: 'Models', subheading: 'SavedModel'}
-         */
-        get: function () {
-            var entries = this.signature.outputs;
-            var results = Object.keys(entries).map(function (key) { return entries[key]; });
-            results.forEach(function (info) {
-                info.name = info.name.replace(/:0$/, '');
-            });
-            return results;
-        },
-        enumerable: true,
-        configurable: true
-    });
-    /**
-     * Delete the SavedModel from nodeBackend and delete corresponding session in
-     * the C++ backend if the session is only used by this TFSavedModel.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    TFSavedModel.prototype.dispose = function () {
-        if (!this.disposed) {
-            this.disposed = true;
-            loadedSavedModelPathMap.delete(this.jsid);
-            for (var _i = 0, _a = Array.from(loadedSavedModelPathMap.keys()); _i < _a.length; _i++) {
-                var id = _a[_i];
-                var value = loadedSavedModelPathMap.get(id);
-                if (value.sessionId === this.sessionId) {
-                    return;
-                }
-            }
-            this.backend.deleteSavedModel(this.sessionId);
-        }
-        else {
-            throw new Error('This SavedModel has already been deleted.');
-        }
-    };
-    Object.defineProperty(TFSavedModel.prototype, "outputNodeNames", {
-        get: function () {
-            var _this = this;
-            if (this.outputNodeNames_ != null) {
-                return this.outputNodeNames_;
-            }
-            this.outputNodeNames_ =
-                Object.keys(this.signature.outputs)
-                    .reduce(function (names, key) {
-                    names[key] = _this.signature.outputs[key].name;
-                    return names;
-                }, {});
-            return this.outputNodeNames_;
-        },
-        enumerable: true,
-        configurable: true
-    });
-    /**
-     * Execute the inference for the input tensors.
-     *
-     * @param input The input tensors, when there is single input for the model,
-     * inputs param should be a Tensor. For models with multiple inputs, inputs
-     * params should be in either Tensor[] if the input order is fixed, or
-     * otherwise NamedTensorMap format. The keys in the NamedTensorMap are the
-     * name of input tensors in SavedModel signatureDef. It can be found through
-     * `tf.node.getMetaGraphsFromSavedModel()`.
-     *
-     * For batch inference execution, the tensors for each input need to be
-     * concatenated together. For example with mobilenet, the required input shape
-     * is [1, 244, 244, 3], which represents the [batch, height, width, channel].
-     * If we are provide a batched data of 100 images, the input tensor should be
-     * in the shape of [100, 244, 244, 3].
-     *
-     * @param config Prediction configuration for specifying the batch size.
-     *
-     * @returns Inference result tensors. The output would be single Tensor if
-     * model has single output node, otherwise Tensor[] or NamedTensorMap[] will
-     * be returned for model with multiple outputs.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    TFSavedModel.prototype.predict = function (inputs, config) {
-        var _this = this;
-        if (this.disposed) {
-            throw new Error('The TFSavedModel has already been deleted!');
-        }
-        else {
-            var inputTensors = [];
-            if (inputs instanceof tfjs_1.Tensor) {
-                inputTensors.push(inputs);
-                var result = this.backend.runSavedModel(this.sessionId, inputTensors, Object.values(this.signature.inputs), Object.values(this.outputNodeNames));
-                return result.length > 1 ? result : result[0];
-            }
-            else if (Array.isArray(inputs)) {
-                inputTensors = inputs;
-                return this.backend.runSavedModel(this.sessionId, inputTensors, Object.values(this.signature.inputs), Object.values(this.outputNodeNames));
-            }
-            else {
-                var inputTensorNames = Object.keys(this.signature.inputs);
-                var providedInputNames = Object.keys(inputs);
-                if (!stringArraysHaveSameElements(inputTensorNames, providedInputNames)) {
-                    throw new Error("The model signatureDef input names are " + inputTensorNames.join() + ", however the provided input names are " + providedInputNames.join() + ".");
-                }
-                var inputNodeNamesArray = [];
-                for (var i = 0; i < inputTensorNames.length; i++) {
-                    inputTensors.push(inputs[inputTensorNames[i]]);
-                    inputNodeNamesArray.push(this.signature.inputs[inputTensorNames[i]]);
-                }
-                var outputTensorNames = Object.keys(this.outputNodeNames);
-                var outputNodeNamesArray = [];
-                for (var i = 0; i < outputTensorNames.length; i++) {
-                    outputNodeNamesArray.push(this.outputNodeNames[outputTensorNames[i]]);
-                }
-                var outputTensors_1 = this.backend.runSavedModel(this.sessionId, inputTensors, inputNodeNamesArray, outputNodeNamesArray);
-                tfjs_1.util.assert(outputTensors_1.length === outputNodeNamesArray.length, function () { return 'Output tensors do not match output node names, ' +
-                    ("receive " + outputTensors_1.length + ") output tensors but ") +
-                    ("there are " + _this.outputNodeNames.length + " output nodes."); });
-                var outputMap = {};
-                for (var i = 0; i < outputTensorNames.length; i++) {
-                    outputMap[outputTensorNames[i]] = outputTensors_1[i];
-                }
-                return outputMap;
-            }
-        }
-    };
-    /**
-     * Execute the inference for the input tensors and return activation
-     * values for specified output node names without batching.
-     *
-     * @param input The input tensors, when there is single input for the model,
-     * inputs param should be a Tensor. For models with multiple inputs, inputs
-     * params should be in either Tensor[] if the input order is fixed, or
-     * otherwise NamedTensorMap format.
-     *
-     * @param outputs string|string[]. List of output node names to retrieve
-     * activation from.
-     *
-     * @returns Activation values for the output nodes result tensors. The return
-     * type matches specified parameter outputs type. The output would be single
-     * Tensor if single output is specified, otherwise Tensor[] for multiple
-     * outputs.
-     *
-     * @doc {heading: 'Models', subheading: 'SavedModel'}
-     */
-    TFSavedModel.prototype.execute = function (inputs, outputs) {
-        throw new Error('execute() of TFSavedModel is not supported yet.');
-    };
-    return TFSavedModel;
-}());
-exports.TFSavedModel = TFSavedModel;
-/**
- * Load a TensorFlow SavedModel from disk. TensorFlow SavedModel is different
- * from TensorFlow.js model format. A SavedModel is a directory containing
- * serialized signatures and the states needed to run them. The directory has a
- * saved_model.pb (or saved_model.pbtxt) file storing the actual TensorFlow
- * program, or model, and a set of named signatures, each identifying a
- * function. The directory also has a variables directory contains a standard
- * training checkpoint. The directory may also has a assets directory contains
- * files used by the TensorFlow graph, for example text files used to initialize
- * vocabulary tables. These are supported datatypes: float32, int32, complex64,
- * string.For more information, see this guide:
- * https://www.tensorflow.org/guide/saved_model.
- *
- * @param path The path to the SavedModel.
- * @param tags The tags of the MetaGraph to load. The available tags of a
- *     SavedModel can be retrieved through tf.node.getMetaGraphsFromSavedModel()
- *     API. Defaults to ['serve'].
- * @param signature The name of the SignatureDef to load. The available
- *     SignatureDefs of a SavedModel can be retrieved through
- *     tf.node.getMetaGraphsFromSavedModel() API. Defaults to 'serving_default'.
- *
- * @doc {heading: 'Models', subheading: 'SavedModel', namespace: 'node'}
- */
-function loadSavedModel(path, tags, signature) {
-    if (tags === void 0) { tags = ['serve']; }
-    if (signature === void 0) { signature = 'serving_default'; }
-    return __awaiter(this, void 0, void 0, function () {
-        var backend, savedModelInfo, signatureDefEntry, sessionId, _i, _a, id_1, modelInfo, tagsString, id, savedModel;
-        return __generator(this, function (_b) {
-            switch (_b.label) {
-                case 0:
-                    nodejs_kernel_backend_1.ensureTensorflowBackend();
-                    backend = nodejs_kernel_backend_1.nodeBackend();
-                    return [4 /*yield*/, getMetaGraphsFromSavedModel(path)];
-                case 1:
-                    savedModelInfo = _b.sent();
-                    signatureDefEntry = getSignatureDefEntryFromMetaGraphInfo(savedModelInfo, tags, signature);
-                    for (_i = 0, _a = Array.from(loadedSavedModelPathMap.keys()); _i < _a.length; _i++) {
-                        id_1 = _a[_i];
-                        modelInfo = loadedSavedModelPathMap.get(id_1);
-                        if (modelInfo.path === path &&
-                            stringArraysHaveSameElements(modelInfo.tags, tags)) {
-                            sessionId = modelInfo.sessionId;
-                        }
-                    }
-                    if (sessionId == null) {
-                        tagsString = tags.join(',');
-                        sessionId = backend.loadSavedModelMetaGraph(path, tagsString);
-                    }
-                    id = nextTFSavedModelId++;
-                    savedModel = new TFSavedModel(sessionId, id, signatureDefEntry, backend);
-                    loadedSavedModelPathMap.set(id, { path: path, tags: tags, sessionId: sessionId });
-                    return [2 /*return*/, savedModel];
-            }
-        });
-    });
-}
-exports.loadSavedModel = loadSavedModel;
-/**
- * Compare if two unsorted arrays of string have the same elements.
- * @param arrayA
- * @param arrayB
- */
-function stringArraysHaveSameElements(arrayA, arrayB) {
-    if (arrayA.length === arrayB.length &&
-        arrayA.sort().join() === arrayB.sort().join()) {
-        return true;
-    }
-    return false;
-}
-function mapTFDtypeToJSDtype(tfDtype) {
-    switch (tfDtype) {
-        case 'DT_FLOAT':
-            return 'float32';
-        case 'DT_INT64':
-        case 'DT_INT32':
-        case 'DT_UINT8':
-            return 'int32';
-        case 'DT_BOOL':
-            return 'bool';
-        case 'DT_COMPLEX64':
-            return 'complex64';
-        case 'DT_STRING':
-            return 'string';
-        default:
-            throw new Error('Unsupported tensor DataType: ' + tfDtype +
-                ', try to modify the model in python to convert the datatype');
-    }
-}
-function getNumOfSavedModels() {
-    nodejs_kernel_backend_1.ensureTensorflowBackend();
-    var backend = nodejs_kernel_backend_1.nodeBackend();
-    return backend.getNumOfSavedModels();
-}
-exports.getNumOfSavedModels = getNumOfSavedModels;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model_test.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model_test.d.ts
deleted file mode 100644
index 1c3c75a12..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model_test.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-export {};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model_test.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model_test.js
deleted file mode 100644
index 59abe285f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/saved_model_test.js
+++ /dev/null
@@ -1,700 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
-    return new (P || (P = Promise))(function (resolve, reject) {
-        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
-        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
-        step((generator = generator.apply(thisArg, _arguments || [])).next());
-    });
-};
-var __generator = (this && this.__generator) || function (thisArg, body) {
-    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
-    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
-    function verb(n) { return function (v) { return step([n, v]); }; }
-    function step(op) {
-        if (f) throw new TypeError("Generator is already executing.");
-        while (_) try {
-            if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
-            if (y = 0, t) op = [op[0] & 2, t.value];
-            switch (op[0]) {
-                case 0: case 1: t = op; break;
-                case 4: _.label++; return { value: op[1], done: false };
-                case 5: _.label++; y = op[1]; op = [0]; continue;
-                case 7: op = _.ops.pop(); _.trys.pop(); continue;
-                default:
-                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
-                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
-                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
-                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
-                    if (t[2]) _.ops.pop();
-                    _.trys.pop(); continue;
-            }
-            op = body.call(thisArg, _);
-        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
-        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
-    }
-};
-var _this = this;
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var tf = require("./index");
-var nodejs_kernel_backend_1 = require("./nodejs_kernel_backend");
-var saved_model_1 = require("./saved_model");
-// tslint:disable-next-line:no-require-imports
-var messages = require('./proto/api_pb');
-describe('SavedModel', function () {
-    it('deserialize SavedModel pb file', function () { return __awaiter(_this, void 0, void 0, function () {
-        var modelMessage, signatureDefMapMessage, inputsMapMessage, inputsMapKeys, inputsMapKey1, inputTensorMessage, outputsMapMessage, outputsMapKeys, outputsMapKey1, outputTensorMessage;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, saved_model_1.readSavedModelProto('./test_objects/saved_model/times_three_float')];
-                case 1:
-                    modelMessage = _a.sent();
-                    // This SavedModel has one MetaGraph with tag serve
-                    expect(modelMessage.getMetaGraphsList().length).toBe(1);
-                    expect(modelMessage.getMetaGraphsList()[0]
-                        .getMetaInfoDef()
-                        .getTagsList()
-                        .length)
-                        .toBe(1);
-                    expect(modelMessage.getMetaGraphsList()[0].getMetaInfoDef().getTagsList()[0])
-                        .toBe('serve');
-                    signatureDefMapMessage = modelMessage.getMetaGraphsList()[0].getSignatureDefMap();
-                    expect(signatureDefMapMessage.has('serving_default'));
-                    inputsMapMessage = signatureDefMapMessage.get('serving_default').getInputsMap();
-                    expect(inputsMapMessage.getLength()).toBe(1);
-                    inputsMapKeys = inputsMapMessage.keys();
-                    inputsMapKey1 = inputsMapKeys.next();
-                    expect(inputsMapKey1.done).toBe(false);
-                    expect(inputsMapKey1.value).toBe('x');
-                    inputTensorMessage = inputsMapMessage.get(inputsMapKey1.value);
-                    expect(inputTensorMessage.getName()).toBe('serving_default_x:0');
-                    expect(saved_model_1.getEnumKeyFromValue(messages.DataType, inputTensorMessage.getDtype()))
-                        .toBe('DT_FLOAT');
-                    outputsMapMessage = signatureDefMapMessage.get('serving_default').getOutputsMap();
-                    expect(outputsMapMessage.getLength()).toBe(1);
-                    outputsMapKeys = outputsMapMessage.keys();
-                    outputsMapKey1 = outputsMapKeys.next();
-                    expect(outputsMapKey1.done).toBe(false);
-                    expect(outputsMapKey1.value).toBe('output_0');
-                    outputTensorMessage = outputsMapMessage.get(outputsMapKey1.value);
-                    expect(outputTensorMessage.getName()).toBe('StatefulPartitionedCall:0');
-                    expect(saved_model_1.getEnumKeyFromValue(messages.DataType, outputTensorMessage.getDtype()))
-                        .toBe('DT_FLOAT');
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('get enum key based on value', function () {
-        var DataType = messages.DataType;
-        var enumKey0 = saved_model_1.getEnumKeyFromValue(DataType, 0);
-        expect(enumKey0).toBe('DT_INVALID');
-        var enumKey1 = saved_model_1.getEnumKeyFromValue(DataType, 1);
-        expect(enumKey1).toBe('DT_FLOAT');
-        var enumKey2 = saved_model_1.getEnumKeyFromValue(DataType, 2);
-        expect(enumKey2).toBe('DT_DOUBLE');
-    });
-    it('read non-exist file', function (done) { return __awaiter(_this, void 0, void 0, function () {
-        var err_1;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    _a.trys.push([0, 2, , 3]);
-                    return [4 /*yield*/, saved_model_1.readSavedModelProto('/not-exist')];
-                case 1:
-                    _a.sent();
-                    done.fail();
-                    return [3 /*break*/, 3];
-                case 2:
-                    err_1 = _a.sent();
-                    expect(err_1.message)
-                        .toBe("There is no saved_model.pb file in the directory: /not-exist");
-                    done();
-                    return [3 /*break*/, 3];
-                case 3: return [2 /*return*/];
-            }
-        });
-    }); });
-    it('inspect SavedModel metagraphs', function () { return __awaiter(_this, void 0, void 0, function () {
-        var modelInfo;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, tf.node.getMetaGraphsFromSavedModel('./test_objects/saved_model/times_three_float')];
-                case 1:
-                    modelInfo = _a.sent();
-                    /**
-                     * The inspection output should be
-                     * [{
-                     *  'tags': ['serve'],
-                     *  'signatureDefs': {
-                     *      '__saved_model_init_op': {
-                     *        'inputs': {},
-                     *        'outputs': {
-                     *          '__saved_model_init_op': {
-                     *            'dtype': 'DT_INVALID',
-                     *            'name': 'NoOp',
-                     *            'shape': []
-                     *          }
-                     *        }
-                     *      },
-                     *      'serving_default': {
-                     *        'inputs': {
-                     *          'x': {
-                     *            'dtype': 'DT_FLOAT',
-                     *            'name': 'serving_default_x:0',
-                     *            'shape':[]
-                     *          }
-                     *        },
-                     *        'outputs': {
-                     *          'output_0': {
-                     *            'dtype': 'DT_FLOAT',
-                     *            'name': 'StatefulPartitionedCall:0',
-                     *            'shape': []
-                     *          }
-                     *        }
-                     *      }
-                     *   }
-                     * }]
-                     */
-                    expect(modelInfo.length).toBe(1);
-                    expect(modelInfo[0].tags.length).toBe(1);
-                    expect(modelInfo[0].tags[0]).toBe('serve');
-                    expect(Object.keys(modelInfo[0].signatureDefs).length).toBe(1);
-                    expect(Object.keys(modelInfo[0].signatureDefs)[0]).toBe('serving_default');
-                    expect(Object.keys(modelInfo[0].signatureDefs['serving_default'].inputs)
-                        .length)
-                        .toBe(1);
-                    expect(modelInfo[0].signatureDefs['serving_default'].inputs['x'].name)
-                        .toBe('serving_default_x:0');
-                    expect(modelInfo[0].signatureDefs['serving_default'].inputs['x'].dtype)
-                        .toBe('float32');
-                    expect(Object.keys(modelInfo[0].signatureDefs['serving_default'].outputs)
-                        .length)
-                        .toBe(1);
-                    expect(modelInfo[0].signatureDefs['serving_default'].outputs['output_0'].name)
-                        .toBe('StatefulPartitionedCall:0');
-                    expect(modelInfo[0].signatureDefs['serving_default'].outputs['output_0'].dtype)
-                        .toBe('float32');
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('get input and output node names from SavedModel metagraphs', function () { return __awaiter(_this, void 0, void 0, function () {
-        var modelInfo, signature;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, tf.node.getMetaGraphsFromSavedModel('./test_objects/saved_model/times_three_float')];
-                case 1:
-                    modelInfo = _a.sent();
-                    signature = saved_model_1.getSignatureDefEntryFromMetaGraphInfo(modelInfo, ['serve'], 'serving_default');
-                    expect(Object.keys(signature).length).toBe(2);
-                    expect(signature.inputs['x'].name).toBe('serving_default_x:0');
-                    expect(signature.outputs['output_0'].name)
-                        .toBe('StatefulPartitionedCall:0');
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('load TFSavedModel', function () { return __awaiter(_this, void 0, void 0, function () {
-        var loadSavedModelMetaGraphSpy, model;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    loadSavedModelMetaGraphSpy = spyOn(nodejs_kernel_backend_1.nodeBackend(), 'loadSavedModelMetaGraph').and.callThrough();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(0);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _a.sent();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('load TFSavedModel with wrong tags throw exception', function (done) { return __awaiter(_this, void 0, void 0, function () {
-        var error_1;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    _a.trys.push([0, 2, , 3]);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve', 'gpu'], 'serving_default')];
-                case 1:
-                    _a.sent();
-                    done.fail();
-                    return [3 /*break*/, 3];
-                case 2:
-                    error_1 = _a.sent();
-                    expect(error_1.message)
-                        .toBe('The SavedModel does not have tags: serve,gpu');
-                    done();
-                    return [3 /*break*/, 3];
-                case 3: return [2 /*return*/];
-            }
-        });
-    }); });
-    it('load TFSavedModel with wrong signature throw exception', function (done) { return __awaiter(_this, void 0, void 0, function () {
-        var error_2;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    _a.trys.push([0, 2, , 3]);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'wrong_signature')];
-                case 1:
-                    _a.sent();
-                    done.fail();
-                    return [3 /*break*/, 3];
-                case 2:
-                    error_2 = _a.sent();
-                    expect(error_2.message)
-                        .toBe('The SavedModel does not have signature: wrong_signature');
-                    done();
-                    return [3 /*break*/, 3];
-                case 3: return [2 /*return*/];
-            }
-        });
-    }); });
-    it('load TFSavedModel and delete', function () { return __awaiter(_this, void 0, void 0, function () {
-        var loadSavedModelMetaGraphSpy, deleteSavedModelSpy, model;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    expect(tf.node.getNumOfSavedModels()).toBe(0);
-                    loadSavedModelMetaGraphSpy = spyOn(nodejs_kernel_backend_1.nodeBackend(), 'loadSavedModelMetaGraph').and.callThrough();
-                    deleteSavedModelSpy = spyOn(nodejs_kernel_backend_1.nodeBackend(), 'deleteSavedModel').and.callThrough();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(0);
-                    expect(deleteSavedModelSpy).toHaveBeenCalledTimes(0);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _a.sent();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    expect(deleteSavedModelSpy).toHaveBeenCalledTimes(0);
-                    expect(tf.node.getNumOfSavedModels()).toBe(1);
-                    model.dispose();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    expect(deleteSavedModelSpy).toHaveBeenCalledTimes(1);
-                    expect(tf.node.getNumOfSavedModels()).toBe(0);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('delete TFSavedModel multiple times throw exception', function (done) { return __awaiter(_this, void 0, void 0, function () {
-        var model;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _a.sent();
-                    model.dispose();
-                    try {
-                        model.dispose();
-                        done.fail();
-                    }
-                    catch (error) {
-                        expect(error.message).toBe('This SavedModel has already been deleted.');
-                        done();
-                    }
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('load multiple signatures from the same metagraph only call binding once', function () { return __awaiter(_this, void 0, void 0, function () {
-        var backend, loadSavedModelMetaGraphSpy, model1, model2;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    expect(tf.node.getNumOfSavedModels()).toBe(0);
-                    backend = nodejs_kernel_backend_1.nodeBackend();
-                    loadSavedModelMetaGraphSpy = spyOn(backend, 'loadSavedModelMetaGraph').and.callThrough();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(0);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/module_with_multiple_signatures', ['serve'], 'serving_default')];
-                case 1:
-                    model1 = _a.sent();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    expect(tf.node.getNumOfSavedModels()).toBe(1);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/module_with_multiple_signatures', ['serve'], 'timestwo')];
-                case 2:
-                    model2 = _a.sent();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    expect(tf.node.getNumOfSavedModels()).toBe(1);
-                    model1.dispose();
-                    expect(tf.node.getNumOfSavedModels()).toBe(1);
-                    model2.dispose();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    expect(tf.node.getNumOfSavedModels()).toBe(0);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('load signature after delete call binding', function () { return __awaiter(_this, void 0, void 0, function () {
-        var backend, spyOnCallBindingLoad, spyOnNodeBackendDelete, model1, model2;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    backend = nodejs_kernel_backend_1.nodeBackend();
-                    spyOnCallBindingLoad = spyOn(backend, 'loadSavedModelMetaGraph').and.callThrough();
-                    spyOnNodeBackendDelete = spyOn(backend, 'deleteSavedModel').and.callThrough();
-                    expect(spyOnCallBindingLoad).toHaveBeenCalledTimes(0);
-                    expect(spyOnNodeBackendDelete).toHaveBeenCalledTimes(0);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/module_with_multiple_signatures', ['serve'], 'serving_default')];
-                case 1:
-                    model1 = _a.sent();
-                    expect(spyOnCallBindingLoad).toHaveBeenCalledTimes(1);
-                    expect(spyOnNodeBackendDelete).toHaveBeenCalledTimes(0);
-                    model1.dispose();
-                    expect(spyOnNodeBackendDelete).toHaveBeenCalledTimes(1);
-                    expect(spyOnCallBindingLoad).toHaveBeenCalledTimes(1);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/module_with_multiple_signatures', ['serve'], 'timestwo')];
-                case 2:
-                    model2 = _a.sent();
-                    expect(spyOnCallBindingLoad).toHaveBeenCalledTimes(2);
-                    expect(spyOnNodeBackendDelete).toHaveBeenCalledTimes(1);
-                    model2.dispose();
-                    expect(spyOnCallBindingLoad).toHaveBeenCalledTimes(2);
-                    expect(spyOnNodeBackendDelete).toHaveBeenCalledTimes(2);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('throw error when input tensors do not match input ops', function (done) { return __awaiter(_this, void 0, void 0, function () {
-        var model, input1, input2;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _a.sent();
-                    input1 = tf.tensor1d([1.0, 2, 3]);
-                    input2 = tf.tensor1d([1.0, 2, 3]);
-                    try {
-                        model.predict([input1, input2]);
-                        done.fail();
-                    }
-                    catch (error) {
-                        expect(error.message)
-                            .toBe('Length of input op names (1) does not match the ' +
-                            'length of input tensors (2).');
-                        model.dispose();
-                        done();
-                    }
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model float times three', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input, output, _a, _b, _c;
-        return __generator(this, function (_d) {
-            switch (_d.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _d.sent();
-                    input = tf.tensor1d([1.0, 2, 3]);
-                    output = model.predict(input);
-                    expect(output.shape).toEqual(input.shape);
-                    expect(output.dtype).toBe(input.dtype);
-                    expect(output.dtype).toBe('float32');
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output.data()];
-                case 2:
-                    _c = [_d.sent()];
-                    return [4 /*yield*/, input.mul(3).data()];
-                case 3:
-                    _b.apply(_a, _c.concat([_d.sent()]));
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model with tensor array as input', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input, outputArray, output, _a, _b;
-        return __generator(this, function (_c) {
-            switch (_c.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _c.sent();
-                    input = tf.tensor1d([1.0, 2, 3]);
-                    outputArray = model.predict([input]);
-                    expect(outputArray.length).toBe(1);
-                    output = outputArray[0];
-                    expect(output.shape).toEqual(input.shape);
-                    expect(output.dtype).toBe(input.dtype);
-                    expect(output.dtype).toBe('float32');
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output.data()];
-                case 2:
-                    _b.apply(_a, [_c.sent(), [3.0, 6.0, 9.0]]);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model with tensor map as input', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input, outputMap, output, _a, _b;
-        return __generator(this, function (_c) {
-            switch (_c.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _c.sent();
-                    input = tf.tensor1d([1.0, 2, 3]);
-                    outputMap = model.predict({ 'x': input });
-                    output = outputMap['output_0'];
-                    expect(output.shape).toEqual(input.shape);
-                    expect(output.dtype).toBe(input.dtype);
-                    expect(output.dtype).toBe('float32');
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output.data()];
-                case 2:
-                    _b.apply(_a, [_c.sent(), [3.0, 6.0, 9.0]]);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model with wrong tensor name', function (done) { return __awaiter(_this, void 0, void 0, function () {
-        var model, input;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_three_float', ['serve'], 'serving_default')];
-                case 1:
-                    model = _a.sent();
-                    input = tf.tensor1d([1.0, 2, 3]);
-                    try {
-                        model.predict({ 'xyz': input });
-                        done.fail();
-                    }
-                    catch (error) {
-                        expect(error.message)
-                            .toBe('The model signatureDef input names are x, however ' +
-                            'the provided input names are xyz.');
-                        model.dispose();
-                        done();
-                    }
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model with uint8 input', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input, output, _a, _b;
-        return __generator(this, function (_c) {
-            switch (_c.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/uint8_multiply', ['serve'], 'serving_default')];
-                case 1:
-                    model = _c.sent();
-                    input = tf.scalar(3, 'int32');
-                    output = model.predict(input);
-                    expect(output.shape).toEqual([]);
-                    expect(output.dtype).toBe('int32');
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output.data()];
-                case 2:
-                    _b.apply(_a, [_c.sent(), [18]]);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model with int64 input', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input, output, data;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/int64_multiply', ['serve'], 'serving_default')];
-                case 1:
-                    model = _a.sent();
-                    input = tf.tensor1d([3, 4], 'int32');
-                    output = model.predict(input);
-                    expect(output.shape).toEqual([2]);
-                    expect(output.dtype).toBe('int32');
-                    return [4 /*yield*/, output.data()];
-                case 2:
-                    data = _a.sent();
-                    expect(Number(data[0])).toEqual(18);
-                    expect(Number(data[1])).toEqual(24);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model int times two', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input, output, _a, _b;
-        return __generator(this, function (_c) {
-            switch (_c.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/times_two_int', ['serve'], 'serving_default')];
-                case 1:
-                    model = _c.sent();
-                    input = tf.tensor1d([1, 2, 3], 'int32');
-                    output = model.predict(input);
-                    expect(output.shape).toEqual(input.shape);
-                    expect(output.dtype).toBe(input.dtype);
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output.data()];
-                case 2:
-                    _b.apply(_a, [_c.sent(), [2, 4, 6]]);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute multiple signatures from the same model', function () { return __awaiter(_this, void 0, void 0, function () {
-        var backend, loadSavedModelMetaGraphSpy, model1, input1, output1, _a, _b, model2, input2, output2, _c, _d;
-        return __generator(this, function (_e) {
-            switch (_e.label) {
-                case 0:
-                    backend = nodejs_kernel_backend_1.nodeBackend();
-                    loadSavedModelMetaGraphSpy = spyOn(backend, 'loadSavedModelMetaGraph').and.callThrough();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(0);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/module_with_multiple_signatures', ['serve'], 'serving_default')];
-                case 1:
-                    model1 = _e.sent();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    input1 = tf.tensor1d([1, 2, 3]);
-                    output1 = model1.predict(input1);
-                    expect(output1.shape).toEqual(input1.shape);
-                    expect(output1.dtype).toBe(input1.dtype);
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output1.data()];
-                case 2:
-                    _b.apply(_a, [_e.sent(), [3.0, 6.0, 9.0]]);
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/module_with_multiple_signatures', ['serve'], 'timestwo')];
-                case 3:
-                    model2 = _e.sent();
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    input2 = tf.tensor1d([1, 2, 3]);
-                    output2 = model2.predict(input2);
-                    expect(output2.shape).toEqual(input2.shape);
-                    expect(output2.dtype).toBe(input2.dtype);
-                    _d = (_c = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output2.data()];
-                case 4:
-                    _d.apply(_c, [_e.sent(), [2.0, 4.0, 6.0]]);
-                    expect(loadSavedModelMetaGraphSpy).toHaveBeenCalledTimes(1);
-                    model1.dispose();
-                    model2.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model with single input and multiple outputs', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input, output, output1, output2, _a, _b, _c, _d;
-        return __generator(this, function (_e) {
-            switch (_e.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/model_single_input_multi_output', ['serve'], 'serving_default')];
-                case 1:
-                    model = _e.sent();
-                    input = tf.tensor1d([1, 2, 3], 'int32');
-                    output = model.predict(input);
-                    output1 = output[0];
-                    output2 = output[1];
-                    expect(output1.shape).toEqual(input.shape);
-                    expect(output1.dtype).toBe(input.dtype);
-                    expect(output2.shape).toEqual(input.shape);
-                    expect(output2.dtype).toBe(input.dtype);
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output1.data()];
-                case 2:
-                    _b.apply(_a, [_e.sent(), [2, 4, 6]]);
-                    _d = (_c = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output2.data()];
-                case 3:
-                    _d.apply(_c, [_e.sent(), [1, 2, 3]]);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('execute model with multiple inputs and multiple outputs', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, input1, input2, output, output1, output2, _a, _b, _c, _d;
-        return __generator(this, function (_e) {
-            switch (_e.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/model_multi_output', ['serve'], 'serving_default')];
-                case 1:
-                    model = _e.sent();
-                    input1 = tf.tensor1d([1, 2, 3], 'int32');
-                    input2 = tf.tensor1d([1, 2, 3], 'int32');
-                    output = model.predict({ 'x': input1, 'y': input2 });
-                    output1 = output['output_0'];
-                    output2 = output['output_1'];
-                    expect(output1.shape).toEqual(input1.shape);
-                    expect(output1.dtype).toBe(input1.dtype);
-                    expect(output2.shape).toEqual(input2.shape);
-                    expect(output2.dtype).toBe(input2.dtype);
-                    _b = (_a = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output1.data()];
-                case 2:
-                    _b.apply(_a, [_e.sent(), [2, 4, 6]]);
-                    _d = (_c = tfjs_1.test_util).expectArraysClose;
-                    return [4 /*yield*/, output2.data()];
-                case 3:
-                    _d.apply(_c, [_e.sent(), [1, 2, 3]]);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('load multiple models', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model1, model2;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    expect(tf.node.getNumOfSavedModels()).toBe(0);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/module_with_multiple_signatures', ['serve'], 'serving_default')];
-                case 1:
-                    model1 = _a.sent();
-                    expect(tf.node.getNumOfSavedModels()).toBe(1);
-                    return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/model_multi_output', ['serve'], 'serving_default')];
-                case 2:
-                    model2 = _a.sent();
-                    expect(tf.node.getNumOfSavedModels()).toBe(2);
-                    model1.dispose();
-                    expect(tf.node.getNumOfSavedModels()).toBe(1);
-                    model2.dispose();
-                    expect(tf.node.getNumOfSavedModels()).toBe(0);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('return inputs and outputs', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0: return [4 /*yield*/, tf.node.loadSavedModel('./test_objects/saved_model/model_multi_output', ['serve'], 'serving_default')];
-                case 1:
-                    model = _a.sent();
-                    expect(model.inputs.length).toBe(2);
-                    expect(model.outputs.length).toBe(2);
-                    expect(model.inputs[0].name).toBe('serving_default_x');
-                    expect(model.inputs[0].dtype).toBe('int32');
-                    expect(model.inputs[0].tfDtype).toBe('DT_INT32');
-                    expect(model.inputs[0].shape.length).toBe(0);
-                    expect(model.inputs[1].name).toBe('serving_default_y');
-                    expect(model.inputs[1].dtype).toBe('int32');
-                    expect(model.inputs[1].tfDtype).toBe('DT_INT32');
-                    expect(model.inputs[1].shape.length).toBe(0);
-                    expect(model.outputs[0].name).toBe('StatefulPartitionedCall');
-                    expect(model.outputs[0].dtype).toBe('int32');
-                    expect(model.outputs[0].tfDtype).toBe('DT_INT32');
-                    expect(model.outputs[0].shape.length).toBe(0);
-                    expect(model.outputs[1].name).toBe('StatefulPartitionedCall:1');
-                    expect(model.outputs[1].dtype).toBe('int32');
-                    expect(model.outputs[1].tfDtype).toBe('DT_INT32');
-                    expect(model.outputs[1].shape.length).toBe(0);
-                    model.dispose();
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-});
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard.d.ts
deleted file mode 100644
index bf9c718cd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard.d.ts
+++ /dev/null
@@ -1,64 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Scalar, Tensor } from '@tensorflow/tfjs';
-import { NodeJSKernelBackend } from './nodejs_kernel_backend';
-export declare class SummaryFileWriter {
-    private readonly resourceHandle;
-    backend: NodeJSKernelBackend;
-    constructor(resourceHandle: Tensor);
-    /**
-     * Write a scalar summary.
-     *
-     * @param name A name of the summary. The summary tag for TensorBoard will be
-     *   this name.
-     * @param value A real numeric scalar value, as `tf.Scalar` or a JavaScript
-     *   `number`.
-     * @param step Required `int64`-castable, monotically-increasing step value.
-     * @param description Optinal long-form description for this summary, as a
-     *   `string`. *Not implemented yet*.
-     */
-    scalar(name: string, value: Scalar | number, step: number, description?: string): void;
-    /**
-     * Force summary writer to send all buffered data to storage.
-     */
-    flush(): void;
-}
-/**
- * Create a summary file writer for TensorBoard.
- *
- * Example:
- * ```js
- * const tf = require('@tensorflow/tfjs-node');
- *
- * const summaryWriter = tf.node.summaryFileWriter('/tmp/tfjs_tb_logdir');
- *
- * for (let step = 0; step < 100; ++step) {
- *  summaryWriter.scalar('dummyValue', Math.sin(2 * Math.PI * step / 8), step);
- * }
- * ```
- *
- * @param logdir Log directory in which the summary data will be written.
- * @param maxQueue Maximum queue length (default: `10`).
- * @param flushMillis Flush every __ milliseconds (default: `120e3`, i.e,
- *   `120` seconds).
- * @param filenameSuffix Suffix of the protocol buffer file names to be
- *   written in the `logdir` (default: `.v2`).
- * @returns An instance of `SummaryFileWriter`.
- *
- * @doc {heading: 'TensorBoard', namespace: 'node'}
- */
-export declare function summaryFileWriter(logdir: string, maxQueue?: number, flushMillis?: number, filenameSuffix?: string): SummaryFileWriter;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard.js
deleted file mode 100644
index 09d6718ff..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard.js
+++ /dev/null
@@ -1,102 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var nodejs_kernel_backend_1 = require("./nodejs_kernel_backend");
-var SummaryFileWriter = /** @class */ (function () {
-    function SummaryFileWriter(resourceHandle) {
-        this.resourceHandle = resourceHandle;
-        nodejs_kernel_backend_1.ensureTensorflowBackend();
-        this.backend = nodejs_kernel_backend_1.nodeBackend();
-    }
-    /**
-     * Write a scalar summary.
-     *
-     * @param name A name of the summary. The summary tag for TensorBoard will be
-     *   this name.
-     * @param value A real numeric scalar value, as `tf.Scalar` or a JavaScript
-     *   `number`.
-     * @param step Required `int64`-castable, monotically-increasing step value.
-     * @param description Optinal long-form description for this summary, as a
-     *   `string`. *Not implemented yet*.
-     */
-    SummaryFileWriter.prototype.scalar = function (name, value, step, description) {
-        // N.B.: Unlike the Python TensorFlow API, step is a required parameter,
-        // because the construct of global step does not exist in TensorFlow.js.
-        if (description != null) {
-            throw new Error('scalar() does not support description yet');
-        }
-        this.backend.writeScalarSummary(this.resourceHandle, step, name, value);
-    };
-    /**
-     * Force summary writer to send all buffered data to storage.
-     */
-    SummaryFileWriter.prototype.flush = function () {
-        this.backend.flushSummaryWriter(this.resourceHandle);
-    };
-    return SummaryFileWriter;
-}());
-exports.SummaryFileWriter = SummaryFileWriter;
-/**
- * Use a cache for `SummaryFileWriter` instance.
- *
- * Using multiple instances of `SummaryFileWriter` pointing to the same
- * logdir has potential problems. Using this cache avoids those problems.
- */
-var summaryFileWriterCache = {};
-/**
- * Create a summary file writer for TensorBoard.
- *
- * Example:
- * ```js
- * const tf = require('@tensorflow/tfjs-node');
- *
- * const summaryWriter = tf.node.summaryFileWriter('/tmp/tfjs_tb_logdir');
- *
- * for (let step = 0; step < 100; ++step) {
- *  summaryWriter.scalar('dummyValue', Math.sin(2 * Math.PI * step / 8), step);
- * }
- * ```
- *
- * @param logdir Log directory in which the summary data will be written.
- * @param maxQueue Maximum queue length (default: `10`).
- * @param flushMillis Flush every __ milliseconds (default: `120e3`, i.e,
- *   `120` seconds).
- * @param filenameSuffix Suffix of the protocol buffer file names to be
- *   written in the `logdir` (default: `.v2`).
- * @returns An instance of `SummaryFileWriter`.
- *
- * @doc {heading: 'TensorBoard', namespace: 'node'}
- */
-function summaryFileWriter(logdir, maxQueue, flushMillis, filenameSuffix) {
-    if (maxQueue === void 0) { maxQueue = 10; }
-    if (flushMillis === void 0) { flushMillis = 120000; }
-    if (filenameSuffix === void 0) { filenameSuffix = '.v2'; }
-    tfjs_1.util.assert(logdir != null && typeof logdir === 'string' && logdir.length > 0, function () {
-        return "Invalid logdir: " + logdir + ". Expected a non-empty string for logdir.";
-    });
-    if (!(logdir in summaryFileWriterCache)) {
-        nodejs_kernel_backend_1.ensureTensorflowBackend();
-        var backend = nodejs_kernel_backend_1.nodeBackend();
-        var writerResource = backend.summaryWriter(logdir);
-        backend.createSummaryFileWriter(writerResource, logdir, maxQueue, flushMillis, filenameSuffix);
-        summaryFileWriterCache[logdir] = new SummaryFileWriter(writerResource);
-    }
-    return summaryFileWriterCache[logdir];
-}
-exports.summaryFileWriter = summaryFileWriter;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard_test.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard_test.d.ts
deleted file mode 100644
index 4a6d69728..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard_test.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-export {};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard_test.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard_test.js
deleted file mode 100644
index 922f9122c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tensorboard_test.js
+++ /dev/null
@@ -1,390 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
-    return new (P || (P = Promise))(function (resolve, reject) {
-        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
-        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
-        step((generator = generator.apply(thisArg, _arguments || [])).next());
-    });
-};
-var __generator = (this && this.__generator) || function (thisArg, body) {
-    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
-    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
-    function verb(n) { return function (v) { return step([n, v]); }; }
-    function step(op) {
-        if (f) throw new TypeError("Generator is already executing.");
-        while (_) try {
-            if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
-            if (y = 0, t) op = [op[0] & 2, t.value];
-            switch (op[0]) {
-                case 0: case 1: t = op; break;
-                case 4: _.label++; return { value: op[1], done: false };
-                case 5: _.label++; y = op[1]; op = [0]; continue;
-                case 7: op = _.ops.pop(); _.trys.pop(); continue;
-                default:
-                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
-                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
-                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
-                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
-                    if (t[2]) _.ops.pop();
-                    _.trys.pop(); continue;
-            }
-            op = body.call(thisArg, _);
-        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
-        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
-    }
-};
-var _this = this;
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_1 = require("@tensorflow/tfjs");
-var fs = require("fs");
-var path = require("path");
-var util_1 = require("util");
-var tfn = require("./index");
-// tslint:disable-next-line:no-require-imports
-var rimraf = require('rimraf');
-// tslint:disable-next-line:no-require-imports
-var tmp = require('tmp');
-var rimrafPromise = util_1.promisify(rimraf);
-describe('tensorboard', function () {
-    var tmpLogDir;
-    beforeEach(function () {
-        tmpLogDir = tmp.dirSync().name;
-    });
-    afterEach(function () { return __awaiter(_this, void 0, void 0, function () {
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    if (!(tmpLogDir != null)) return [3 /*break*/, 2];
-                    return [4 /*yield*/, rimrafPromise(tmpLogDir)];
-                case 1:
-                    _a.sent();
-                    _a.label = 2;
-                case 2: return [2 /*return*/];
-            }
-        });
-    }); });
-    it('Create summaryFileWriter and write scalar', function () {
-        var writer = tfn.node.summaryFileWriter(tmpLogDir);
-        writer.scalar('foo', 42, 0);
-        writer.flush();
-        // Currently, we only verify that the file exists and the size
-        // increases in a sensible way as we write more scalars to it.
-        // The difficulty is in reading the protobuf contents of the event
-        // file in JavaScript/TypeScript.
-        var fileNames = fs.readdirSync(tmpLogDir);
-        expect(fileNames.length).toEqual(1);
-        var eventFilePath = path.join(tmpLogDir, fileNames[0]);
-        var fileSize0 = fs.statSync(eventFilePath).size;
-        writer.scalar('foo', 43, 1);
-        writer.flush();
-        var fileSize1 = fs.statSync(eventFilePath).size;
-        var incrementPerScalar = fileSize1 - fileSize0;
-        expect(incrementPerScalar).toBeGreaterThan(0);
-        writer.scalar('foo', 44, 2);
-        writer.scalar('foo', 45, 3);
-        writer.flush();
-        var fileSize2 = fs.statSync(eventFilePath).size;
-        expect(fileSize2 - fileSize1).toEqual(2 * incrementPerScalar);
-    });
-    it('Writing tf.Scalar works', function () {
-        var writer = tfn.node.summaryFileWriter(tmpLogDir);
-        writer.scalar('foo', tfjs_1.scalar(42), 0);
-        writer.flush();
-        // Currently, we only verify that the file exists and the size
-        // increases in a sensible way as we write more scalars to it.
-        // The difficulty is in reading the protobuf contents of the event
-        // file in JavaScript/TypeScript.
-        var fileNames = fs.readdirSync(tmpLogDir);
-        expect(fileNames.length).toEqual(1);
-    });
-    it('No crosstalk between two summary writers', function () {
-        var logDir1 = path.join(tmpLogDir, '1');
-        var writer1 = tfn.node.summaryFileWriter(logDir1);
-        writer1.scalar('foo', 42, 0);
-        writer1.flush();
-        var logDir2 = path.join(tmpLogDir, '2');
-        var writer2 = tfn.node.summaryFileWriter(logDir2);
-        writer2.scalar('foo', 1.337, 0);
-        writer2.flush();
-        // Currently, we only verify that the file exists and the size
-        // increases in a sensible way as we write more scalars to it.
-        // The difficulty is in reading the protobuf contents of the event
-        // file in JavaScript/TypeScript.
-        var fileNames = fs.readdirSync(logDir1);
-        expect(fileNames.length).toEqual(1);
-        var eventFilePath1 = path.join(logDir1, fileNames[0]);
-        var fileSize1Num0 = fs.statSync(eventFilePath1).size;
-        fileNames = fs.readdirSync(logDir2);
-        expect(fileNames.length).toEqual(1);
-        var eventFilePath2 = path.join(logDir2, fileNames[0]);
-        var fileSize2Num0 = fs.statSync(eventFilePath2).size;
-        expect(fileSize2Num0).toBeGreaterThan(0);
-        writer1.scalar('foo', 43, 1);
-        writer1.flush();
-        var fileSize1Num1 = fs.statSync(eventFilePath1).size;
-        var incrementPerScalar = fileSize1Num1 - fileSize1Num0;
-        expect(incrementPerScalar).toBeGreaterThan(0);
-        writer1.scalar('foo', 44, 2);
-        writer1.scalar('foo', 45, 3);
-        writer1.flush();
-        var fileSize1Num2 = fs.statSync(eventFilePath1).size;
-        expect(fileSize1Num2 - fileSize1Num1).toEqual(2 * incrementPerScalar);
-        var fileSize2Num1 = fs.statSync(eventFilePath2).size;
-        expect(fileSize2Num1).toEqual(fileSize2Num0);
-        writer2.scalar('foo', 1.336, 1);
-        writer2.scalar('foo', 1.335, 2);
-        writer2.flush();
-        var fileSize1Num3 = fs.statSync(eventFilePath1).size;
-        expect(fileSize1Num3).toEqual(fileSize1Num2);
-        var fileSize2Num2 = fs.statSync(eventFilePath2).size;
-        expect(fileSize2Num2 - fileSize2Num1).toEqual(2 * incrementPerScalar);
-    });
-    it('Writing into existing directory works', function () {
-        fs.mkdirSync(tmpLogDir, { recursive: true });
-        var writer = tfn.node.summaryFileWriter(path.join(tmpLogDir, '22'));
-        writer.scalar('foo', 42, 0);
-        writer.flush();
-        var fileNames = fs.readdirSync(tmpLogDir);
-        expect(fileNames.length).toEqual(1);
-    });
-    it('empty logdir leads to error', function () {
-        expect(function () { return tfn.node.summaryFileWriter(''); }).toThrowError(/empty string/);
-    });
-});
-describe('tensorBoard callback', function () {
-    var tmpLogDir;
-    beforeEach(function () {
-        tmpLogDir = tmp.dirSync().name;
-    });
-    afterEach(function () { return __awaiter(_this, void 0, void 0, function () {
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    if (!(tmpLogDir != null)) return [3 /*break*/, 2];
-                    return [4 /*yield*/, rimrafPromise(tmpLogDir)];
-                case 1:
-                    _a.sent();
-                    _a.label = 2;
-                case 2: return [2 /*return*/];
-            }
-        });
-    }); });
-    function createModelForTest() {
-        var model = tfn.sequential();
-        model.add(tfn.layers.dense({ units: 5, activation: 'relu', inputShape: [10] }));
-        model.add(tfn.layers.dense({ units: 1 }));
-        model.compile({ loss: 'meanSquaredError', optimizer: 'sgd', metrics: ['MAE'] });
-        return model;
-    }
-    it('fit(): default epoch updateFreq, with validation', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, xs, ys, valXs, valYs, subDirs, trainLogDir, trainFiles, trainFileSize0, valLogDir, valFiles, valFileSize0, history, trainFileSize1, valFileSize1;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    model = createModelForTest();
-                    xs = tfn.randomUniform([100, 10]);
-                    ys = tfn.randomUniform([100, 1]);
-                    valXs = tfn.randomUniform([10, 10]);
-                    valYs = tfn.randomUniform([10, 1]);
-                    // Warm-up training.
-                    return [4 /*yield*/, model.fit(xs, ys, {
-                            epochs: 1,
-                            verbose: 0,
-                            validationData: [valXs, valYs],
-                            callbacks: tfn.node.tensorBoard(tmpLogDir)
-                        })];
-                case 1:
-                    // Warm-up training.
-                    _a.sent();
-                    subDirs = fs.readdirSync(tmpLogDir);
-                    expect(subDirs).toContain('train');
-                    expect(subDirs).toContain('val');
-                    trainLogDir = path.join(tmpLogDir, 'train');
-                    trainFiles = fs.readdirSync(trainLogDir);
-                    trainFileSize0 = fs.statSync(path.join(trainLogDir, trainFiles[0])).size;
-                    expect(trainFileSize0).toBeGreaterThan(0);
-                    valLogDir = path.join(tmpLogDir, 'val');
-                    valFiles = fs.readdirSync(valLogDir);
-                    valFileSize0 = fs.statSync(path.join(valLogDir, valFiles[0])).size;
-                    expect(valFileSize0).toBeGreaterThan(0);
-                    // With updateFreq === epoch, the train and val subset should have generated
-                    // the same amount of logs.
-                    expect(valFileSize0).toEqual(trainFileSize0);
-                    return [4 /*yield*/, model.fit(xs, ys, {
-                            epochs: 3,
-                            verbose: 0,
-                            validationData: [valXs, valYs],
-                            callbacks: tfn.node.tensorBoard(tmpLogDir)
-                        })];
-                case 2:
-                    history = _a.sent();
-                    expect(history.history.loss.length).toEqual(3);
-                    expect(history.history.val_loss.length).toEqual(3);
-                    expect(history.history.MAE.length).toEqual(3);
-                    expect(history.history.val_MAE.length).toEqual(3);
-                    trainFileSize1 = fs.statSync(path.join(trainLogDir, trainFiles[0])).size;
-                    valFileSize1 = fs.statSync(path.join(valLogDir, valFiles[0])).size;
-                    // We currently only assert that new content has been written to the log
-                    // file.
-                    expect(trainFileSize1).toBeGreaterThan(trainFileSize0);
-                    expect(valFileSize1).toBeGreaterThan(valFileSize0);
-                    // With updateFreq === epoch, the train and val subset should have generated
-                    // the same amount of logs.
-                    expect(valFileSize1).toEqual(trainFileSize1);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('fit(): batch updateFreq, with validation', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, xs, ys, valXs, valYs, subDirs, trainLogDir, trainFiles, trainFileSize0, valLogDir, valFiles, valFileSize0, history, trainFileSize1, valFileSize1;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    model = createModelForTest();
-                    xs = tfn.randomUniform([100, 10]);
-                    ys = tfn.randomUniform([100, 1]);
-                    valXs = tfn.randomUniform([10, 10]);
-                    valYs = tfn.randomUniform([10, 1]);
-                    // Warm-up training.
-                    return [4 /*yield*/, model.fit(xs, ys, {
-                            epochs: 1,
-                            verbose: 0,
-                            validationData: [valXs, valYs],
-                            // Use batch updateFreq here.
-                            callbacks: tfn.node.tensorBoard(tmpLogDir, { updateFreq: 'batch' })
-                        })];
-                case 1:
-                    // Warm-up training.
-                    _a.sent();
-                    subDirs = fs.readdirSync(tmpLogDir);
-                    expect(subDirs).toContain('train');
-                    expect(subDirs).toContain('val');
-                    trainLogDir = path.join(tmpLogDir, 'train');
-                    trainFiles = fs.readdirSync(trainLogDir);
-                    trainFileSize0 = fs.statSync(path.join(trainLogDir, trainFiles[0])).size;
-                    expect(trainFileSize0).toBeGreaterThan(0);
-                    valLogDir = path.join(tmpLogDir, 'val');
-                    valFiles = fs.readdirSync(valLogDir);
-                    valFileSize0 = fs.statSync(path.join(valLogDir, valFiles[0])).size;
-                    expect(valFileSize0).toBeGreaterThan(0);
-                    // The train subset should have generated more logs than the val subset,
-                    // because the train subset gets logged every batch, while the val subset
-                    // gets logged every epoch.
-                    expect(trainFileSize0).toBeGreaterThan(valFileSize0);
-                    return [4 /*yield*/, model.fit(xs, ys, {
-                            epochs: 3,
-                            verbose: 0,
-                            validationData: [valXs, valYs],
-                            callbacks: tfn.node.tensorBoard(tmpLogDir)
-                        })];
-                case 2:
-                    history = _a.sent();
-                    expect(history.history.loss.length).toEqual(3);
-                    expect(history.history.val_loss.length).toEqual(3);
-                    expect(history.history.MAE.length).toEqual(3);
-                    expect(history.history.val_MAE.length).toEqual(3);
-                    trainFileSize1 = fs.statSync(path.join(trainLogDir, trainFiles[0])).size;
-                    valFileSize1 = fs.statSync(path.join(valLogDir, valFiles[0])).size;
-                    // We currently only assert that new content has been written to the log
-                    // file.
-                    expect(trainFileSize1).toBeGreaterThan(trainFileSize0);
-                    expect(valFileSize1).toBeGreaterThan(valFileSize0);
-                    // The train subset should have generated more logs than the val subset,
-                    // because the train subset gets logged every batch, while the val subset
-                    // gets logged every epoch.
-                    expect(trainFileSize1).toBeGreaterThan(valFileSize1);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('fit(): with initialEpoch', function () { return __awaiter(_this, void 0, void 0, function () {
-        var model, xs, ys, valXs, valYs, callback, trainWriterScalarSpy, valWriterScalarSpy, trainCallArgs, valCallArgs;
-        return __generator(this, function (_a) {
-            switch (_a.label) {
-                case 0:
-                    model = createModelForTest();
-                    xs = tfn.randomUniform([100, 10]);
-                    ys = tfn.randomUniform([100, 1]);
-                    valXs = tfn.randomUniform([10, 10]);
-                    valYs = tfn.randomUniform([10, 1]);
-                    // Warm-up training. Also ensures that `callback.trainWriter` and
-                    // `callback.valWriter` are created.
-                    return [4 /*yield*/, model.fit(xs, ys, {
-                            epochs: 2,
-                            validationData: [valXs, valYs],
-                            verbose: 0,
-                        })];
-                case 1:
-                    // Warm-up training. Also ensures that `callback.trainWriter` and
-                    // `callback.valWriter` are created.
-                    _a.sent();
-                    callback = tfn.node.tensorBoard(tmpLogDir, { updateFreq: 'epoch' });
-                    // tslint:disable-next-line:no-any
-                    callback.ensureTrainWriterCreated();
-                    // tslint:disable-next-line:no-any
-                    callback.ensureValWriterCreated();
-                    trainWriterScalarSpy = spyOn(callback.trainWriter, 'scalar');
-                    valWriterScalarSpy = spyOn(callback.valWriter, 'scalar');
-                    // Train for 2 more epochs, using initialEpoch and callback.
-                    return [4 /*yield*/, model.fit(xs, ys, {
-                            epochs: 4,
-                            initialEpoch: 2,
-                            validationData: [valXs, valYs],
-                            callbacks: [callback],
-                        })];
-                case 2:
-                    // Train for 2 more epochs, using initialEpoch and callback.
-                    _a.sent();
-                    expect(trainWriterScalarSpy).toHaveBeenCalledTimes(4);
-                    trainCallArgs = trainWriterScalarSpy.calls.allArgs();
-                    // Assert that the epoch numbers used to log the epoch-end loss and metric
-                    // reflect initialEpoch.
-                    expect(trainCallArgs[0][0]).toEqual('epoch_loss');
-                    expect(trainCallArgs[0][2]).toEqual(3);
-                    expect(trainCallArgs[1][0]).toEqual('epoch_MAE');
-                    expect(trainCallArgs[1][2]).toEqual(3);
-                    expect(trainCallArgs[2][0]).toEqual('epoch_loss');
-                    expect(trainCallArgs[2][2]).toEqual(4);
-                    expect(trainCallArgs[3][0]).toEqual('epoch_MAE');
-                    expect(trainCallArgs[3][2]).toEqual(4);
-                    expect(valWriterScalarSpy).toHaveBeenCalledTimes(4);
-                    valCallArgs = valWriterScalarSpy.calls.allArgs();
-                    expect(valCallArgs[0][0]).toEqual('epoch_loss');
-                    expect(valCallArgs[0][2]).toEqual(3);
-                    expect(valCallArgs[1][0]).toEqual('epoch_MAE');
-                    expect(valCallArgs[1][2]).toEqual(3);
-                    expect(valCallArgs[2][0]).toEqual('epoch_loss');
-                    expect(valCallArgs[2][2]).toEqual(4);
-                    expect(valCallArgs[3][0]).toEqual('epoch_MAE');
-                    expect(valCallArgs[3][2]).toEqual(4);
-                    return [2 /*return*/];
-            }
-        });
-    }); });
-    it('Invalid updateFreq value causes error', function () { return __awaiter(_this, void 0, void 0, function () {
-        return __generator(this, function (_a) {
-            expect(function () { return tfn.node.tensorBoard(tmpLogDir, {
-                // tslint:disable-next-line:no-any
-                updateFreq: 'foo'
-            }); }).toThrowError(/Expected updateFreq/);
-            return [2 /*return*/];
-        });
-    }); });
-});
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding.d.ts
deleted file mode 100644
index 9fd4bb199..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding.d.ts
+++ /dev/null
@@ -1,56 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { backend_util } from '@tensorflow/tfjs';
-export declare class TensorMetadata {
-    id: number;
-    shape: number[];
-    dtype: number;
-}
-export declare class TFEOpAttr {
-    name: string;
-    type: number;
-    value: boolean | number | object | string | number[];
-}
-export interface TFJSBinding {
-    TensorMetadata: typeof TensorMetadata;
-    TFEOpAttr: typeof TFEOpAttr;
-    createTensor(shape: number[], dtype: number, buffer: backend_util.BackendValues): number;
-    deleteTensor(tensorId: number): void;
-    tensorDataSync(tensorId: number): Float32Array | Int32Array | Uint8Array;
-    executeOp(opName: string, opAttrs: TFEOpAttr[], inputTensorIds: number[], numOutputs: number): TensorMetadata[];
-    loadSavedModel(exportDir: string, tags: string): number;
-    deleteSavedModel(savedModelId: number): void;
-    runSavedModel(savedModelId: number, inputTensorIds: number[], inputOpNames: string, outputOpNames: string): TensorMetadata[];
-    getNumOfSavedModels(): number;
-    isUsingGpuDevice(): boolean;
-    TF_FLOAT: number;
-    TF_INT32: number;
-    TF_INT64: number;
-    TF_BOOL: number;
-    TF_COMPLEX64: number;
-    TF_STRING: number;
-    TF_RESOURCE: number;
-    TF_UINT8: number;
-    TF_ATTR_STRING: number;
-    TF_ATTR_INT: number;
-    TF_ATTR_FLOAT: number;
-    TF_ATTR_BOOL: number;
-    TF_ATTR_TYPE: number;
-    TF_ATTR_SHAPE: number;
-    TF_ATTR_RESOURCE: number;
-    TF_Version: string;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding.js
deleted file mode 100644
index 7c826123e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding.js
+++ /dev/null
@@ -1,18 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding_test.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding_test.d.ts
deleted file mode 100644
index 4a6d69728..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding_test.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-export {};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding_test.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding_test.js
deleted file mode 100644
index 84e44ffea..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/tfjs_binding_test.js
+++ /dev/null
@@ -1,255 +0,0 @@
-"use strict";
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-Object.defineProperty(exports, "__esModule", { value: true });
-var path = require("path");
-// tslint:disable-next-line:no-require-imports
-var binary = require('node-pre-gyp');
-var bindingPath = binary.find(path.resolve(path.join(__dirname, '../package.json')));
-// tslint:disable-next-line:no-require-imports
-var bindings = require(bindingPath);
-var binding = bindings;
-describe('Exposes TF_DataType enum values', function () {
-    it('contains TF_FLOAT', function () {
-        expect(binding.TF_FLOAT).toEqual(1);
-    });
-    it('contains TF_INT32', function () {
-        expect(binding.TF_INT32).toEqual(3);
-    });
-    it('contains TF_BOOL', function () {
-        expect(binding.TF_BOOL).toEqual(10);
-    });
-    it('contains TF_COMPLEX64', function () {
-        expect(binding.TF_COMPLEX64).toEqual(8);
-    });
-    it('contains TF_STRING', function () {
-        expect(binding.TF_STRING).toEqual(7);
-    });
-});
-describe('Exposes TF_AttrType enum values', function () {
-    it('contains TF_ATTR_STRING', function () {
-        expect(binding.TF_ATTR_STRING).toEqual(0);
-    });
-    it('contains TF_ATTR_INT', function () {
-        expect(binding.TF_ATTR_INT).toEqual(1);
-    });
-    it('contains TF_ATTR_FLOAT', function () {
-        expect(binding.TF_ATTR_FLOAT).toEqual(2);
-    });
-    it('contains TF_ATTR_BOOL', function () {
-        expect(binding.TF_ATTR_BOOL).toEqual(3);
-    });
-    it('contains TF_ATTR_TYPE', function () {
-        expect(binding.TF_ATTR_TYPE).toEqual(4);
-    });
-    it('contains TF_ATTR_SHAPE', function () {
-        expect(binding.TF_ATTR_SHAPE).toEqual(5);
-    });
-});
-describe('Exposes TF Version', function () {
-    it('contains a version string', function () {
-        expect(binding.TF_Version).toBeDefined();
-    });
-});
-describe('tensor management', function () {
-    it('Creates and deletes a valid tensor', function () {
-        var values = new Int32Array([1, 2]);
-        var id = binding.createTensor([2], binding.TF_INT32, values);
-        expect(id).toBeDefined();
-        binding.deleteTensor(id);
-    });
-    it('throws exception when shape does not match data', function () {
-        expect(function () {
-            binding.createTensor([2], binding.TF_INT32, new Int32Array([1, 2, 3]));
-        }).toThrowError();
-        expect(function () {
-            binding.createTensor([4], binding.TF_INT32, new Int32Array([1, 2, 3]));
-        }).toThrowError();
-    });
-    it('throws exception with invalid dtype', function () {
-        expect(function () {
-            // tslint:disable-next-line:no-unused-expression
-            binding.createTensor([1], 1000, new Int32Array([1]));
-        }).toThrowError();
-    });
-    it('works with 0-dim tensors', function () {
-        // Reduce op (e.g 'Max') will produce a 0-dim TFE_Tensor.
-        var inputId = binding.createTensor([3], binding.TF_INT32, new Int32Array([1, 2, 3]));
-        var axesId = binding.createTensor([1], binding.TF_INT32, new Int32Array([0]));
-        var attrs = [
-            { name: 'keep_dims', type: binding.TF_ATTR_BOOL, value: false },
-            { name: 'T', type: binding.TF_ATTR_TYPE, value: binding.TF_INT32 },
-            { name: 'Tidx', type: binding.TF_ATTR_TYPE, value: binding.TF_INT32 }
-        ];
-        var outputMetadata = binding.executeOp('Max', attrs, [inputId, axesId], 1);
-        expect(outputMetadata.length).toBe(1);
-        expect(outputMetadata[0].id).toBeDefined();
-        expect(outputMetadata[0].shape).toEqual([]);
-        expect(outputMetadata[0].dtype).toEqual(binding.TF_INT32);
-        expect(binding.tensorDataSync(outputMetadata[0].id))
-            .toEqual(new Int32Array([3]));
-    });
-});
-describe('executeOp', function () {
-    var name = 'MatMul';
-    var matMulOpAttrs = [
-        { name: 'transpose_a', type: binding.TF_ATTR_BOOL, value: false },
-        { name: 'transpose_b', type: binding.TF_ATTR_BOOL, value: false },
-        { name: 'T', type: binding.TF_ATTR_TYPE, value: binding.TF_FLOAT }
-    ];
-    var aId = binding.createTensor([2, 2], binding.TF_FLOAT, new Float32Array([1, 2, 3, 4]));
-    var bId = binding.createTensor([2, 2], binding.TF_FLOAT, new Float32Array([4, 3, 2, 1]));
-    var matMulInput = [aId, bId];
-    it('throws exception with invalid Op Name', function () {
-        expect(function () {
-            binding.executeOp(null, [], [], null);
-        }).toThrowError();
-    });
-    it('throws exception with invalid TFEOpAttr', function () {
-        expect(function () {
-            binding.executeOp('Equal', null, [], null);
-        }).toThrowError();
-    });
-    it('throws excpetion with invalid inputs', function () {
-        expect(function () {
-            binding.executeOp(name, matMulOpAttrs, [], null);
-        }).toThrowError();
-    });
-    it('throws exception with invalid output number', function () {
-        expect(function () {
-            binding.executeOp(name, matMulOpAttrs, matMulInput, null);
-        }).toThrowError();
-    });
-    it('throws exception with invalid TF_ATTR_STRING op attr', function () {
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_STRING, value: null }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_STRING, value: false }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_STRING, value: 1 }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_STRING, value: new Object() }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_STRING, value: [1, 2, 3] }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-    });
-    it('throws exception with invalid TF_ATTR_INT op attr', function () {
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_INT, value: null }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_INT, value: false }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_INT, value: new Object() }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_INT, value: 'test' }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-    });
-    it('throws exception with invalid TF_ATTR_FLOAT op attr', function () {
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_FLOAT, value: null }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_FLOAT, value: false }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_FLOAT, value: new Object() }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_FLOAT, value: 'test' }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-    });
-    it('throws exception with invalid TF_ATTR_BOOL op attr', function () {
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_BOOL, value: null }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_BOOL, value: 10 }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_BOOL, value: new Object() }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_BOOL, value: 'test' }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_BOOL, value: [1, 2, 3] }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-    });
-    it('throws exception with invalid TF_ATTR_TYPE op attr', function () {
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_TYPE, value: null }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_TYPE, value: new Object() }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_TYPE, value: 'test' }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_TYPE, value: [1, 2, 3] }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-    });
-    it('throws exception with invalid TF_ATTR_SHAPE op attr', function () {
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_TYPE, value: null }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_TYPE, value: new Object() }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-        expect(function () {
-            var badOpAttrs = [{ name: 'T', type: binding.TF_ATTR_TYPE, value: 'test' }];
-            binding.executeOp(name, badOpAttrs, matMulInput, 1);
-        }).toThrowError();
-    });
-    it('should work for matmul', function () {
-        var output = binding.executeOp(name, matMulOpAttrs, matMulInput, 1);
-        expect(binding.tensorDataSync(output[0].id)).toEqual(new Float32Array([
-            8, 5, 20, 13
-        ]));
-    });
-});
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/version.d.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/version.d.ts
deleted file mode 100644
index 35cb42ada..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/version.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-/** @license See the LICENSE file. */
-declare const version = "3.6.1";
-export { version };
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/version.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/version.js
deleted file mode 100644
index 6ec1b9a17..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/dist/version.js
+++ /dev/null
@@ -1,6 +0,0 @@
-"use strict";
-/** @license See the LICENSE file. */
-Object.defineProperty(exports, "__esModule", { value: true });
-// This code is auto-generated, do not modify this file!
-var version = '3.6.1';
-exports.version = version;
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/lib/napi-v5/tfjs_binding.node b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/lib/napi-v5/tfjs_binding.node
deleted file mode 100755
index a656bb9ca..000000000
Binary files a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/lib/napi-v5/tfjs_binding.node and /dev/null differ
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/package.json b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/package.json
deleted file mode 100644
index 98daf908d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/package.json
+++ /dev/null
@@ -1,129 +0,0 @@
-{
-  "_from": "@tensorflow/tfjs-node",
-  "_id": "@tensorflow/tfjs-node@3.6.1",
-  "_inBundle": false,
-  "_integrity": "sha512-JA6GE7AYx+zoXiKQmEdMc848HDOurrI3vFyiLk/8bXJDEv7L7oW5y6Q1Ja+Bz5ul7UmOxNG89hyYhfGqJK8qKw==",
-  "_location": "/@tensorflow/tfjs-node",
-  "_phantomChildren": {},
-  "_requested": {
-    "type": "tag",
-    "registry": true,
-    "raw": "@tensorflow/tfjs-node",
-    "name": "@tensorflow/tfjs-node",
-    "escapedName": "@tensorflow%2ftfjs-node",
-    "scope": "@tensorflow",
-    "rawSpec": "",
-    "saveSpec": null,
-    "fetchSpec": "latest"
-  },
-  "_requiredBy": [
-    "#USER",
-    "/"
-  ],
-  "_resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-3.6.1.tgz",
-  "_shasum": "a1452076fe6da48f5648ca33f85d1127e6881244",
-  "_spec": "@tensorflow/tfjs-node",
-  "_where": "/home/brenden/Superalgos/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning",
-  "binary": {
-    "module_name": "tfjs_binding",
-    "module_path": "./lib/napi-v{napi_build_version}",
-    "host": "https://storage.googleapis.com/tf-builds/pre-built-binary",
-    "remote_path": "./napi-v{napi_build_version}/{version}/",
-    "napi_versions": [
-      3,
-      4,
-      5,
-      6,
-      7,
-      8
-    ]
-  },
-  "bugs": {
-    "url": "https://github.com/tensorflow/tfjs/issues"
-  },
-  "bundleDependencies": false,
-  "dependencies": {
-    "@tensorflow/tfjs": "3.6.0",
-    "adm-zip": "^0.4.11",
-    "google-protobuf": "^3.9.2",
-    "https-proxy-agent": "^2.2.1",
-    "node-pre-gyp": "0.14.0",
-    "progress": "^2.0.0",
-    "rimraf": "^2.6.2",
-    "tar": "^4.4.6"
-  },
-  "deprecated": false,
-  "description": "This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).",
-  "devDependencies": {
-    "@tensorflow/tfjs-core": "3.6.0",
-    "@types/jasmine": "~2.8.6",
-    "@types/node": "^10.5.1",
-    "@types/progress": "^2.0.1",
-    "@types/rimraf": "~2.0.2",
-    "@types/yargs": "^13.0.3",
-    "clang-format": "~1.2.2",
-    "jasmine": "~3.1.0",
-    "node-fetch": "~2.6.1",
-    "nyc": "^15.1.0",
-    "tmp": "^0.0.33",
-    "ts-node": "^5.0.1",
-    "tslint": "~6.1.3",
-    "tslint-no-circular-imports": "^0.7.0",
-    "typescript": "3.5.3",
-    "yalc": "~1.0.0-pre.50",
-    "yargs": "^16.2.0"
-  },
-  "engines": {
-    "node": ">=8.11.0"
-  },
-  "gypfile": true,
-  "homepage": "https://github.com/tensorflow/tfjs#readme",
-  "license": "Apache-2.0",
-  "main": "dist/index.js",
-  "name": "@tensorflow/tfjs-node",
-  "repository": {
-    "type": "git",
-    "url": "git+https://github.com/tensorflow/tfjs.git"
-  },
-  "scripts": {
-    "build": "tsc && npx mkdirp dist/proto && cp src/proto/api_pb.js dist/proto/api_pb.js",
-    "build-addon": "./scripts/build-and-upload-addon.sh",
-    "build-addon-from-source": "node-pre-gyp install --build-from-source",
-    "build-backend-cpu": "cd ../tfjs-backend-cpu && yarn && yarn build",
-    "build-backend-cpu-ci": "cd ../tfjs-backend-cpu && yarn && yarn build-ci",
-    "build-backend-webgl": "cd ../tfjs-backend-webgl && yarn && yarn build",
-    "build-backend-webgl-ci": "cd ../tfjs-backend-webgl && yarn && yarn build-ci",
-    "build-ci": "tsc && npx mkdirp dist/proto && cp src/proto/api_pb.js dist/proto/api_pb.js",
-    "build-converter": "cd ../tfjs-converter && yarn && yarn build",
-    "build-converter-ci": "cd ../tfjs-converter && yarn && yarn build-ci",
-    "build-core": "cd ../tfjs-core && yarn && yarn build",
-    "build-core-ci": "cd ../tfjs-core && yarn && yarn build-ci",
-    "build-data": "cd ../tfjs-data && yarn && yarn build",
-    "build-data-ci": "cd ../tfjs-data && yarn && yarn build-ci",
-    "build-deps": "yarn build-core && yarn build-backend-cpu && yarn build-backend-webgl && yarn build-layers && yarn build-converter && yarn build-data && yarn build-union",
-    "build-deps-ci": "yarn build-core-ci && yarn build-backend-cpu-ci && yarn build-backend-webgl-ci && yarn build-layers-ci && yarn build-converter-ci && yarn build-data-ci && yarn build-union-ci",
-    "build-layers": "cd ../tfjs-layers && yarn && yarn build",
-    "build-layers-ci": "cd ../tfjs-layers && yarn && yarn build-ci",
-    "build-npm": "./scripts/build-npm.sh",
-    "build-union": "cd ../tfjs && yarn && yarn build",
-    "build-union-ci": "cd ../tfjs && yarn && yarn build-ci",
-    "clean-deps": "rm -rf deps && rm -rf lib",
-    "coverage": "nyc yarn ts-node -P tsconfig.test.json src/run_tests.ts",
-    "enable-gpu": "node scripts/install.js gpu download && yarn && yarn build-addon-from-source",
-    "ensure-cpu-gpu-packages-align": "node scripts/ensure-cpu-gpu-packages-align.js",
-    "format": "clang-format -i -style=Google binding/*.cc binding/*.h",
-    "install": "node scripts/install.js",
-    "install-from-source": "yarn clean-deps && yarn && yarn build-addon-from-source",
-    "link-local": "yalc link",
-    "lint": "tslint -p . -t verbose",
-    "prep": "cd node_modules/@tensorflow/tfjs-core && yarn && yarn build",
-    "publish-local": "yarn prep && yalc push",
-    "publish-npm": "npm publish",
-    "test": "yarn && yarn build-deps && yarn build && ts-node --transpile-only -P tsconfig.test.json src/run_tests.ts",
-    "test-ci": "ts-node --transpile-only --skip-ignore -P tsconfig.test.json src/run_tests.ts",
-    "test-dev": "tsc && ts-node --transpile-only -P tsconfig.test.json src/run_tests.ts",
-    "upload-windows-addon": "./scripts/build-and-upload-windows-addon.bat"
-  },
-  "types": "dist/index.d.ts",
-  "version": "3.6.1"
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/python/int64_model.py b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/python/int64_model.py
deleted file mode 100644
index 827f88a0a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/python/int64_model.py
+++ /dev/null
@@ -1,36 +0,0 @@
-    # Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ==============================================================================
-"""Python script for creating Tensorflow SavedModel with UINT64 input."""
-
-import os
-
-import tensorflow as tf
-from tensorflow.python.eager import def_function
-from tensorflow.python.framework import constant_op
-from tensorflow.python.framework import dtypes
-from tensorflow.python.ops import variables
-from tensorflow.python.training.tracking import tracking
-from tensorflow.python.saved_model.save import save
-
-"""Test a basic model with functions to make sure functions are inlined."""
-input_data = constant_op.constant(1, shape=[2], dtype=tf.int64)
-root = tracking.AutoTrackable()
-root.v1 = variables.Variable(3, dtype=tf.int64)
-root.v2 = variables.Variable(2, dtype=tf.int64)
-root.f = def_function.function(lambda x: root.v1 * root.v2 * x)
-to_save = root.f.get_concrete_function(input_data)
-
-save_dir = os.path.join('..', 'test_objects', 'saved_model', 'int64_multiply')
-save(root, save_dir, to_save)
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/python/unint8_model.py b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/python/unint8_model.py
deleted file mode 100644
index 733e68fc2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/python/unint8_model.py
+++ /dev/null
@@ -1,35 +0,0 @@
-    # Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ==============================================================================
-"""Python script for creating Tensorflow SavedModel with UINT8 input."""
-
-import os
-
-import tensorflow as tf
-from tensorflow.python.eager import def_function
-from tensorflow.python.framework import constant_op
-from tensorflow.python.ops import variables
-from tensorflow.python.training.tracking import tracking
-from tensorflow.python.saved_model.save import save
-
-"""Test a basic model with functions to make sure functions are inlined."""
-input_data = constant_op.constant(1, shape=[1], dtype=tf.uint8)
-root = tracking.AutoTrackable()
-root.v1 = variables.Variable(3)
-root.v2 = variables.Variable(2)
-root.f = def_function.function(lambda x: root.v1 * root.v2 * tf.cast(x, tf.int32))
-to_save = root.f.get_concrete_function(input_data)
-
-save_dir = os.path.join('..', 'test_objects', 'saved_model', 'uint8_multiply')
-save(root, save_dir, to_save)
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/build-and-upload-addon.sh b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/build-and-upload-addon.sh
deleted file mode 100755
index a1ac2e4b3..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/build-and-upload-addon.sh
+++ /dev/null
@@ -1,37 +0,0 @@
-# Copyright 2019 Google LLC. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# =============================================================================
-
-# The following commands do these steps:
-# 1) Remove the existing pre-built addon tarball.
-# 2) Run `yarn install-from-source` to build binding from source
-# 3) Compress and upload the pre-built addon tarball.
-# Please read DEVELOPMENT.md before developing and publishing.
-
-set -e
-
-# get package name based on os and processor
-PACKAGE_NAME=$(node scripts/get-addon-name.js)
-# get NAPI version
-NAPI_VERSION=`node -p "process.versions.napi"`
-# remove the pre-built addon tarball if it already exist
-rm -f $PACKAGE_NAME
-yarn install-from-source
-if [ "$1" = "for-publish" ]; then
-  # build a new pre-built addon tarball
-  tar -czvf $PACKAGE_NAME -C lib napi-v$NAPI_VERSION/tfjs_binding.node
-  # upload pre-built addon tarball to gcloud
-  PACKAGE_HOST=`node -p "require('./package.json').binary.host.split('.com/')[1] + '/napi-v' + process.versions.napi + '/' + require('./package.json').version + '/'"`
-  gsutil cp $PACKAGE_NAME gs://$PACKAGE_HOST
-fi
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/custom-binary.sample.json b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/custom-binary.sample.json
deleted file mode 100644
index 1e1eee11d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/custom-binary.sample.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
-  "tf-lib": "url-to-download-customized-binary",
-  "addon": {
-    "host": "host-of-pre-compiled-addon",
-    "remote_path": "remote-path-of-pre-compiled-addon",
-    "package_name": "file-name-of-pre-compile-addon"
-  }
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/deps-constants.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/deps-constants.js
deleted file mode 100644
index f9d28d7eb..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/deps-constants.js
+++ /dev/null
@@ -1,121 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-const os = require('os');
-const fs = require('fs');
-const join = require('path').join;
-const module_path_napi = require('../package.json').binary.module_path;
-const modulePath =
-    module_path_napi.replace('{napi_build_version}', process.versions.napi);
-
-/** Version of the libtensorflow shared library to depend on. */
-const LIBTENSORFLOW_VERSION = '2.4.1';
-
-/** Map the os.arch() to arch string in a file name */
-const ARCH_MAPPING = {
-  'x64': 'x86_64'
-};
-/** Map the os.platform() to the platform value in a file name */
-const PLATFORM_MAPPING = {
-  'darwin': 'darwin',
-  'linux': 'linux',
-  'win32': 'windows'
-};
-/** The extension of a compressed file */
-const PLATFORM_EXTENSION = os.platform() === 'win32' ? 'zip' : 'tar.gz';
-/**
- * Current supported type, platform and architecture combinations
- * `tf-lib` represents tensorflow shared libraries and `binding` represents
- * node binding.
- */
-const ALL_SUPPORTED_COMBINATION = [
-  'cpu-darwin-x86_64', 'gpu-linux-x86_64', 'cpu-linux-x86_64',
-  'cpu-windows-x86_64', 'gpu-windows-x86_64'
-];
-
-/** Get the MAJOR.MINOR-only version of libtensorflow. */
-function getLibTensorFlowMajorDotMinorVersion() {
-  const items = LIBTENSORFLOW_VERSION.split('.');
-  if (items.length < 3) {
-    throw new Error(
-        `Invalid version string for libtensorflow: ${LIBTENSORFLOW_VERSION}`);
-  }
-  return `${items[0]}.${items[1]}`;
-}
-
-// Determine constants for deps folder names and destination (build) path names.
-let depsLibTensorFlowName = 'libtensorflow';
-let depsLibTensorFlowFrameworkName = 'libtensorflow_framework';
-
-let destLibTensorFlowName = depsLibTensorFlowName;
-let destLibTensorFlowFrameworkName = depsLibTensorFlowFrameworkName;
-
-if (os.platform() === 'win32') {
-  depsLibTensorFlowName = 'tensorflow.dll';
-  depsLibTensorFlowFrameworkName = '';  // Not supported on Windows
-
-  destLibTensorFlowName = depsLibTensorFlowName;
-  destLibTensorFlowFrameworkName = '';  // Not supported on Windows
-} else if (os.platform() === 'darwin') {
-  depsLibTensorFlowName += '.dylib';
-  depsLibTensorFlowFrameworkName += '.dylib';
-
-  destLibTensorFlowName = depsLibTensorFlowName;
-  destLibTensorFlowFrameworkName = depsLibTensorFlowFrameworkName;
-} else if (os.platform() === 'linux') {
-  // Linux has a hard-coded version number, make the destination name simpler:
-  depsLibTensorFlowName += `.so.${LIBTENSORFLOW_VERSION}`;
-  depsLibTensorFlowFrameworkName += `.so.${LIBTENSORFLOW_VERSION}`;
-  destLibTensorFlowName += '.so';
-  destLibTensorFlowFrameworkName += '.so';
-} else {
-  throw Exception('Unsupported platform: ' + os.platform());
-}
-
-const depsPath = join(__dirname, '..', 'deps');
-const depsLibPath = join(depsPath, 'lib');
-
-const depsLibTensorFlowPath = join(depsLibPath, depsLibTensorFlowName);
-const depsLibTensorFlowFrameworkPath =
-    join(depsLibPath, depsLibTensorFlowFrameworkName);
-
-// Get information for custom binary
-const CUSTOM_BINARY_FILENAME = 'custom-binary.json';
-function loadCustomBinary() {
-  const cfg = join(__dirname, CUSTOM_BINARY_FILENAME);
-  return fs.existsSync(cfg) ? require(cfg) : {};
-}
-const customBinaries = loadCustomBinary();
-
-module.exports = {
-  depsPath,
-  depsLibPath,
-  depsLibTensorFlowFrameworkName,
-  depsLibTensorFlowFrameworkPath,
-  depsLibTensorFlowName,
-  depsLibTensorFlowPath,
-  destLibTensorFlowFrameworkName,
-  destLibTensorFlowName,
-  getLibTensorFlowMajorDotMinorVersion,
-  modulePath,
-  LIBTENSORFLOW_VERSION,
-  ARCH_MAPPING,
-  PLATFORM_MAPPING,
-  PLATFORM_EXTENSION,
-  ALL_SUPPORTED_COMBINATION,
-  customTFLibUri: customBinaries['tf-lib'],
-  customAddon: customBinaries['addon']
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/deps-stage.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/deps-stage.js
deleted file mode 100644
index a9e146b1f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/deps-stage.js
+++ /dev/null
@@ -1,97 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-const fs = require('fs');
-const path = require('path');
-const util = require('util');
-
-const copy = util.promisify(fs.copyFile);
-const os = require('os');
-const rename = util.promisify(fs.rename);
-const symlink = util.promisify(fs.symlink);
-const {
-  depsLibTensorFlowFrameworkPath,
-  depsLibTensorFlowPath,
-  destLibTensorFlowFrameworkName,
-  destLibTensorFlowName
-} = require('./deps-constants.js');
-
-const action = process.argv[2];
-let targetDir = process.argv[3];
-
-// This file is Windows only - the libraries must be placed in the correct
-// directory to work.
-if (os.platform() !== 'win32') {
-  throw new Exception('Dep staging is only supported on Windows');
-}
-
-// Some windows machines contain a trailing " char:
-if (targetDir != undefined && targetDir.endsWith('"')) {
-  targetDir = targetDir.substr(0, targetDir.length - 1);
-}
-
-// Setup dest binary paths:
-const destLibTensorFlowPath = path.join(targetDir, destLibTensorFlowName);
-const destLibTensorFlowFrameworkPath =
-    path.join(targetDir, destLibTensorFlowFrameworkName);
-
-/**
- * Symlinks the extracted libtensorflow library to the destination path. If the
- * symlink fails, a copy is made.
- */
-async function symlinkDepsLib() {
-  if (destLibTensorFlowPath === undefined) {
-    throw new Error('Destination path not supplied!');
-  }
-  try {
-    await symlink(
-        path.relative(
-            path.dirname(destLibTensorFlowPath), depsLibTensorFlowPath),
-        destLibTensorFlowPath);
-  } catch (e) {
-    console.error(`  * Symlink of ${
-        destLibTensorFlowPath} failed, creating a copy on disk.`);
-    await copy(depsLibTensorFlowPath, destLibTensorFlowPath);
-  }
-}
-
-/**
- * Moves the deps library path to the destination path.
- */
-async function moveDepsLib() {
-  await rename(depsLibTensorFlowPath, destLibTensorFlowPath);
-  if (os.platform() !== 'win32') {
-    await rename(
-        depsLibTensorFlowFrameworkPath, destLibTensorFlowFrameworkPath);
-  }
-}
-
-/**
- * Symlink or move libtensorflow for building the binding.
- */
-async function run(action) {
-  if (action.endsWith('symlink')) {
-    // Symlink will happen during `node-gyp rebuild`
-    await symlinkDepsLib();
-  } else if (action.endsWith('move')) {
-    // Move action is used when installing this module as a package.
-    await moveDepsLib();
-  } else {
-    throw new Error('Invalid action: ' + action);
-  }
-}
-
-run(action);
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/ensure-cpu-gpu-packages-align.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/ensure-cpu-gpu-packages-align.js
deleted file mode 100644
index f28de82a3..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/ensure-cpu-gpu-packages-align.js
+++ /dev/null
@@ -1,79 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-/**
- * Ensures that the GPU and CPU packages align.
- */
-const fs = require('fs');
-const cpuPackage = require('../../tfjs-node/package.json');
-const gpuPackage = require('../../tfjs-node-gpu/package.json');
-
-process.on('unhandledRejection', e => {
-  throw e;
-});
-
-/**
- * Ensure package.json aligns.
- */
-const FIELDS_TO_IGNORE = [
-  'name', 'scripts/install', 'scripts/test', 'scripts/prepare', 'scripts/prep',
-  'scripts/upload-windows-addon', 'scripts/build-npm',
-  'scripts/prep-gpu-windows'
-];
-
-const cpuPackageKeys = Object.keys(cpuPackage);
-const gpuPackageKeys = Object.keys(gpuPackage);
-cpuPackageKeys.forEach((key, i) => {
-  if (gpuPackageKeys[i] != cpuPackageKeys[i]) {
-    throw new Error(
-        `CPU and GPU package have different keys: ` +
-        `${gpuPackageKeys[i]} and ${cpuPackageKeys[i]}.`);
-  }
-});
-if (cpuPackageKeys.length != gpuPackageKeys.length) {
-  throw new Error(`CPU and GPU package.jsons have different top-level fields.`);
-}
-
-// Ensure the cpu and gpu packages have the same keys.
-cpuPackageKeys.forEach(key => {
-  const cpuPackageValue = cpuPackage[key];
-  const gpuPackageValue = gpuPackage[key];
-
-  if (typeof cpuPackageValue !== 'object') {
-    if (cpuPackageValue != gpuPackageValue &&
-        FIELDS_TO_IGNORE.indexOf(key) === -1) {
-      throw new Error(
-          `CPU package key '${key}' with value ` +
-          `${JSON.stringify(cpuPackageValue)} does not match GPU value ` +
-          `${JSON.stringify(gpuPackageValue)}.`);
-    }
-  } else {
-    const cpuFieldKeys = Object.keys(cpuPackageValue);
-    cpuFieldKeys.forEach(fieldKey => {
-      const cpuFieldValue = '' + cpuPackageValue[fieldKey];
-      const gpuFieldValue = '' + gpuPackageValue[fieldKey];
-      const deepKey = `${key}/${fieldKey}`;
-      if (cpuFieldValue !== gpuFieldValue &&
-          FIELDS_TO_IGNORE.indexOf(deepKey) === -1) {
-        throw new Error(
-            `CPU package key '${deepKey}' with value ` +
-            `${JSON.stringify(cpuFieldValue)} does not match GPU value ` +
-            `${JSON.stringify(gpuFieldValue)}.`);
-      }
-    });
-  }
-});
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/get-addon-name.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/get-addon-name.js
deleted file mode 100644
index 65066599f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/get-addon-name.js
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-const os = require('os');
-const name = require('../package.json').name;
-const version = require('../package.json').version;
-
-const platform = os.platform();
-
-const {PLATFORM_MAPPING, PLATFORM_EXTENSION} = require('./deps-constants.js');
-
-const type = name.includes('gpu') ? 'GPU' : 'CPU';
-const addonName = `${type}-${PLATFORM_MAPPING[platform]}-` +
-    `${version}.${PLATFORM_EXTENSION}`;
-
-// Print out the addon tarball name so that it can be used in bash script when
-// uploading the tarball to GCP bucket.
-console.log(addonName);
-
-module.exports = {
-  addonName: addonName
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/install.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/install.js
deleted file mode 100644
index 17352d547..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/install.js
+++ /dev/null
@@ -1,207 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-const fs = require('fs');
-let path = require('path');
-const rimraf = require('rimraf');
-const util = require('util');
-const cp = require('child_process');
-const os = require('os');
-const {
-  depsPath,
-  depsLibPath,
-  depsLibTensorFlowPath,
-  LIBTENSORFLOW_VERSION,
-  PLATFORM_MAPPING,
-  ARCH_MAPPING,
-  PLATFORM_EXTENSION,
-  ALL_SUPPORTED_COMBINATION,
-  modulePath,
-  customTFLibUri,
-  customAddon
-} = require('./deps-constants.js');
-const resources = require('./resources');
-const {addonName} = require('./get-addon-name.js');
-
-const exists = util.promisify(fs.exists);
-const mkdir = util.promisify(fs.mkdir);
-const rename = util.promisify(fs.rename);
-const rimrafPromise = util.promisify(rimraf);
-
-const CDN_STORAGE = process.env.TFJS_NODE_CDN_STORAGE || process.env.npm_config_TFJS_NODE_CDN_STORAGE
-    || process.env.CDN_STORAGE;
-const BASE_HOST = CDN_STORAGE || 'https://storage.googleapis.com/';
-const BASE_URI = process.env.TFJS_NODE_BASE_URI || process.env.npm_config_TFJS_NODE_BASE_URI
-    || `${BASE_HOST}tensorflow/libtensorflow/libtensorflow-`;
-
-const platform = os.platform();
-// Use windows path
-if (platform === 'win32') {
-  path = path.win32;
-}
-let libType = process.argv[2] === undefined ? 'cpu' : process.argv[2];
-let system = `${libType}-${PLATFORM_MAPPING[platform]}-` +
-    `${ARCH_MAPPING[os.arch()]}`;
-let forceDownload = process.argv[3] === undefined ? undefined : process.argv[3];
-
-let packageJsonFile;
-
-function setPackageJsonFile() {
-  packageJsonFile =
-      JSON.parse(fs.readFileSync(`${__dirname}/../package.json`).toString());
-}
-
-function updateAddonName() {
-  if (customAddon !== undefined) {
-    Object.assign(packageJsonFile['binary'], customAddon);
-  } else {
-    packageJsonFile['binary']['package_name'] = addonName;
-  }
-  const stringFile = JSON.stringify(packageJsonFile, null, 2);
-  fs.writeFileSync((`${__dirname}/../package.json`), stringFile);
-}
-
-function revertAddonName(orig) {
-  packageJsonFile['binary'] = orig;
-  const stringFile = JSON.stringify(packageJsonFile, null, 2).concat('\n');
-  fs.writeFileSync((`${__dirname}/../package.json`), stringFile);
-}
-
-/**
- * Returns the libtensorflow hosted path of the current platform.
- */
-function getPlatformLibtensorflowUri() {
-  // Exception for mac+gpu user
-  if (platform === 'darwin') {
-    system = `cpu-${PLATFORM_MAPPING[platform]}-${ARCH_MAPPING[os.arch()]}`;
-  }
-
-  if (customTFLibUri !== undefined) {
-    return customTFLibUri;
-  }
-
-  if (platform === 'linux' && os.arch() === 'arm') {
-    return `${BASE_HOST}tf-builds/libtensorflow_r1_14_linux_arm.tar.gz`;
-  }
-
-  if (ALL_SUPPORTED_COMBINATION.indexOf(system) === -1) {
-    throw new Error(`Unsupported system: ${libType}-${platform}-${os.arch()}`);
-  }
-
-  return `${BASE_URI}${system}-${LIBTENSORFLOW_VERSION}.${PLATFORM_EXTENSION}`;
-}
-
-/**
- * Ensures a directory exists, creates as needed.
- */
-async function ensureDir(dirPath) {
-  if (!await exists(dirPath)) {
-    await mkdir(dirPath);
-  }
-}
-
-/**
- * Deletes the deps directory if it exists, and creates a fresh deps folder.
- */
-async function cleanDeps() {
-  if (await exists(depsPath)) {
-    await rimrafPromise(depsPath);
-  }
-  await mkdir(depsPath);
-}
-
-/**
- * Downloads libtensorflow and notifies via a callback when unpacked.
- */
-async function downloadLibtensorflow(callback) {
-  // Ensure dependencies staged directory is available:
-  await ensureDir(depsPath);
-
-  console.warn('* Downloading libtensorflow');
-  resources.downloadAndUnpackResource(
-      getPlatformLibtensorflowUri(), depsPath, async () => {
-        if (platform === 'win32') {
-          // Some windows libtensorflow zip files are missing structure and the
-          // eager headers. Check, restructure, and download resources as
-          // needed.
-          if (!await exists(depsLibTensorFlowPath)) {
-            // Verify that tensorflow.dll exists
-            const libtensorflowDll = path.join(depsPath, 'tensorflow.dll');
-            if (!await exists(libtensorflowDll)) {
-              throw new Error('Could not find libtensorflow.dll');
-            }
-
-            await ensureDir(depsLibPath);
-            await rename(libtensorflowDll, depsLibTensorFlowPath);
-          }
-        }
-        // No other work is required on other platforms.
-        if (callback !== undefined) {
-          callback();
-        }
-      });
-}
-
-/**
- * Calls node-gyp for Node.js Tensorflow binding after lib is downloaded.
- */
-async function build() {
-  // Load package.json file
-  setPackageJsonFile();
-  // Update addon name in package.json file
-  const origBinary = JSON.parse(JSON.stringify(packageJsonFile['binary']));
-  updateAddonName();
-  console.error('* Building TensorFlow Node.js bindings');
-  let buildOption = '--fallback-to-build';
-  if (customTFLibUri !== undefined && customAddon === undefined) {
-    // Has custom tensorflow shared libs but no addon. Then build it from source
-    buildOption = '--build-from-source';
-  }
-  cp.exec(`node-pre-gyp install ${buildOption}`, (err) => {
-    if (err) {
-      console.log('node-pre-gyp install failed with error: ' + err);
-      process.exit(1);
-    }
-    if (platform === 'win32') {
-      // Move libtensorflow to module path, where tfjs_binding.node locates.
-      cp.exec('node scripts/deps-stage.js symlink ' + modulePath, (error) => {
-        if (error) {
-          console.error('symlink ' + modulePath + ' failed: ', error);
-          process.exit(1);
-        }
-      });
-    }
-    revertAddonName(origBinary);
-  });
-}
-
-/**
- * Ensures libtensorflow requirements are met for building the binding.
- */
-async function run() {
-  // First check if deps library exists:
-  if (forceDownload !== 'download' && await exists(depsLibTensorFlowPath)) {
-    // Library has already been downloaded, then compile and simlink:
-    await build();
-  } else {
-    // Library has not been downloaded, download, then compile and symlink:
-    await cleanDeps();
-    await downloadLibtensorflow(build);
-  }
-}
-
-run();
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/print-full-package-host.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/print-full-package-host.js
deleted file mode 100644
index 0447d63cd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/print-full-package-host.js
+++ /dev/null
@@ -1,9 +0,0 @@
-// This file generate and print out the full path of the pre-compiled addon in
-// GCP bucket. It is used by bash script when uploading pre-compiled addon to
-// GCP bucket.
-console.log(
-  require('../package.json').binary.host.split('.com/')[1] +
-  '/napi-v' +
-  process.versions.napi +
-  '/' +
-  require('../package.json').version + '/');
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/publish-npm-gpu.sh b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/publish-npm-gpu.sh
deleted file mode 100755
index b621ab347..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/publish-npm-gpu.sh
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env bash
-# Copyright 2017 Google LLC. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# =============================================================================
-
-# Before you run this script, do this:
-# 1) Update the version in package.json
-# 2) Run ./scripts/make-version from the base dir of the project.
-# 3) Run `yarn` to update `yarn.lock`, in case you updated dependencies
-# 4) Commit to the master branch.
-
-# Then:
-# 5) Checkout the master branch of this repo.
-# 6) Run this script as `./scripts/publish-npm-gpu.sh` from the project base dir.
-
-set -e
-
-BRANCH=`git rev-parse --abbrev-ref HEAD`
-ORIGIN=`git config --get remote.origin.url`
-
-if [ "$BRANCH" != "master" ] && [ "$BRANCH" != "0.3.x" ]; then
-  echo "Error: Switch to the master or a release branch before publishing."
-  exit
-fi
-
-if ! [[ "$ORIGIN" =~ tensorflow/tfjs-node ]]; then
-  echo "Error: Switch to the main repo (tensorflow/tfjs-node) before publishing."
-  exit
-fi
-
-./scripts/make-version # This is for safety in case you forgot to do 2).
-yarn build-npm-gpu upload
-
-GPU_TARBALLS=$(ls tensorflow-tfjs-node-gpu*.tgz)
-GPU_TARBALL_COUNT=$(echo $GPU_TARBALLS | wc -w | xargs)
-if [ "$GPU_TARBALL_COUNT" != "1" ]; then
-  echo "Error: Please make sure there is exactly one GPU tarball, found:"
-  echo $GPU_TARBALLS
-  exit
-fi
-
-# Publish the GPU package
-npm publish $GPU_TARBALLS
-
-# Cleanup
-git checkout .
-
-echo 'Yay! Published the tfjs-node-gpu package to npm.'
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/resources.js b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/resources.js
deleted file mode 100644
index 817486335..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/resources.js
+++ /dev/null
@@ -1,93 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-const fs = require('fs');
-const https = require('https');
-const HttpsProxyAgent = require('https-proxy-agent');
-const path = require('os').platform() === 'win32' ? require('path') :
-                                                    require('path').win32;
-const ProgressBar = require('progress');
-const tar = require('tar');
-const url = require('url');
-const util = require('util');
-const zip = require('adm-zip');
-
-const unlink = util.promisify(fs.unlink);
-
-/**
- * Downloads and unpacks a given tarball or zip file at a given path.
- * @param {string} uri The path of the compressed file to download and extract.
- * @param {string} destPath The destination path for the compressed content.
- * @param {Function} callback Handler for when downloading and extraction is
- *     complete.
- */
-async function downloadAndUnpackResource(uri, destPath, callback) {
-  // If HTTPS_PROXY, https_proxy, HTTP_PROXY, or http_proxy is set
-  const proxy = process.env['HTTPS_PROXY'] || process.env['https_proxy'] ||
-      process.env['HTTP_PROXY'] || process.env['http_proxy'] || '';
-
-  // Using object destructuring to construct the options object for the
-  // http request.  the '...url.parse(targetUri)' part fills in the host,
-  // path, protocol, etc from the targetUri and then we set the agent to the
-  // default agent which is overridden a few lines down if there is a proxy
-  const options = {...url.parse(uri), agent: https.globalAgent};
-
-  if (proxy !== '') {
-    options.agent = new HttpsProxyAgent(proxy);
-  }
-
-  const request = https.get(options, response => {
-    const bar = new ProgressBar('[:bar] :rate/bps :percent :etas', {
-      complete: '=',
-      incomplete: ' ',
-      width: 30,
-      total: parseInt(response.headers['content-length'], 10)
-    });
-
-    if (uri.endsWith('.zip')) {
-      // Save zip file to disk, extract, and delete the downloaded zip file.
-      const tempFileName = path.join(__dirname, '_tmp.zip');
-      const outputFile = fs.createWriteStream(tempFileName);
-
-      response.on('data', chunk => bar.tick(chunk.length))
-          .pipe(outputFile)
-          .on('close', async () => {
-            const zipFile = new zip(tempFileName);
-            zipFile.extractAllTo(destPath, true /* overwrite */);
-
-            await unlink(tempFileName);
-
-            if (callback !== undefined) {
-              callback();
-            }
-          });
-    } else if (uri.endsWith('.tar.gz')) {
-      response.on('data', chunk => bar.tick(chunk.length))
-          .pipe(tar.x({C: destPath, strict: true}))
-          .on('close', () => {
-            if (callback !== undefined) {
-              callback();
-            }
-          });
-    } else {
-      throw new Error(`Unsupported packed resource: ${uri}`);
-    }
-  });
-  request.end();
-}
-
-module.exports = {downloadAndUnpackResource};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/tsconfig.json b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/tsconfig.json
deleted file mode 100644
index c5e8c9340..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/scripts/tsconfig.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "extends": "../tsconfig.test",
-  "compilerOptions": {
-    "module": "commonjs"
-  }
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/callbacks.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/callbacks.ts
deleted file mode 100644
index 532681568..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/callbacks.ts
+++ /dev/null
@@ -1,325 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {CustomCallback, Logs, nextFrame, util} from '@tensorflow/tfjs';
-import * as path from 'path';
-import * as ProgressBar from 'progress';
-
-import {summaryFileWriter, SummaryFileWriter} from './tensorboard';
-
-// A helper class created for testing with the jasmine `spyOn` method, which
-// operates only on member methods of objects.
-// tslint:disable-next-line:no-any
-export const progressBarHelper: {ProgressBar: any, log: Function} = {
-  ProgressBar,
-  log: console.log
-};
-
-/**
- * Terminal-based progress bar callback for tf.Model.fit().
- */
-export class ProgbarLogger extends CustomCallback {
-  private numTrainBatchesPerEpoch: number;
-  private progressBar: ProgressBar;
-  private currentEpochBegin: number;
-  private epochDurationMillis: number;
-  private usPerStep: number;
-  private batchesInLatestEpoch: number;
-
-  private terminalWidth: number;
-
-  private readonly RENDER_THROTTLE_MS = 50;
-
-  /**
-   * Construtor of LoggingCallback.
-   */
-  constructor() {
-    super({
-      onTrainBegin: async (logs?: Logs) => {
-        const samples = this.params.samples as number;
-        const batchSize = this.params.batchSize as number;
-        const steps = this.params.steps as number;
-        if (samples != null || steps != null) {
-          this.numTrainBatchesPerEpoch =
-              samples != null ? Math.ceil(samples / batchSize) : steps;
-        } else {
-          // Undetermined number of batches per epoch, e.g., due to
-          // `fitDataset()` without `batchesPerEpoch`.
-          this.numTrainBatchesPerEpoch = 0;
-        }
-      },
-      onEpochBegin: async (epoch: number, logs?: Logs) => {
-        progressBarHelper.log(`Epoch ${epoch + 1} / ${this.params.epochs}`);
-        this.currentEpochBegin = util.now();
-        this.epochDurationMillis = null;
-        this.usPerStep = null;
-        this.batchesInLatestEpoch = 0;
-        this.terminalWidth = process.stderr.columns;
-      },
-      onBatchEnd: async (batch: number, logs?: Logs) => {
-        this.batchesInLatestEpoch++;
-        if (batch === 0) {
-          this.progressBar = new progressBarHelper.ProgressBar(
-              'eta=:eta :bar :placeholderForLossesAndMetrics', {
-                width: Math.floor(0.5 * this.terminalWidth),
-                total: this.numTrainBatchesPerEpoch + 1,
-                head: `>`,
-                renderThrottle: this.RENDER_THROTTLE_MS
-              });
-        }
-        const maxMetricsStringLength =
-            Math.floor(this.terminalWidth * 0.5 - 12);
-        const tickTokens = {
-          placeholderForLossesAndMetrics:
-              this.formatLogsAsMetricsContent(logs, maxMetricsStringLength)
-        };
-        if (this.numTrainBatchesPerEpoch === 0) {
-          // Undetermined number of batches per epoch.
-          this.progressBar.tick(0, tickTokens);
-        } else {
-          this.progressBar.tick(tickTokens);
-        }
-        await nextFrame();
-        if (batch === this.numTrainBatchesPerEpoch - 1) {
-          this.epochDurationMillis = util.now() - this.currentEpochBegin;
-          this.usPerStep = this.params.samples != null ?
-              this.epochDurationMillis / (this.params.samples as number) * 1e3 :
-              this.epochDurationMillis / this.batchesInLatestEpoch * 1e3;
-        }
-      },
-      onEpochEnd: async (epoch: number, logs?: Logs) => {
-        if (this.epochDurationMillis == null) {
-          // In cases where the number of batches per epoch is not determined,
-          // the calculation of the per-step duration is done at the end of the
-          // epoch. N.B., this includes the time spent on validation.
-          this.epochDurationMillis = util.now() - this.currentEpochBegin;
-          this.usPerStep =
-              this.epochDurationMillis / this.batchesInLatestEpoch * 1e3;
-        }
-        this.progressBar.tick({placeholderForLossesAndMetrics: ''});
-        const lossesAndMetricsString = this.formatLogsAsMetricsContent(logs);
-        progressBarHelper.log(
-            `${this.epochDurationMillis.toFixed(0)}ms ` +
-            `${this.usPerStep.toFixed(0)}us/step - ` +
-            `${lossesAndMetricsString}`);
-        await nextFrame();
-      },
-    });
-  }
-
-  private formatLogsAsMetricsContent(logs: Logs, maxMetricsLength?: number):
-      string {
-    let metricsContent = '';
-    const keys = Object.keys(logs).sort();
-    for (const key of keys) {
-      if (this.isFieldRelevant(key)) {
-        const value = logs[key];
-        metricsContent += `${key}=${getSuccinctNumberDisplay(value)} `;
-      }
-    }
-
-    if (maxMetricsLength != null && metricsContent.length > maxMetricsLength) {
-      // Cut off metrics strings that are too long to avoid new lines being
-      // constantly created.
-      metricsContent = metricsContent.slice(0, maxMetricsLength - 3) + '...';
-    }
-    return metricsContent;
-  }
-
-  private isFieldRelevant(key: string) {
-    return key !== 'batch' && key !== 'size';
-  }
-}
-
-const BASE_NUM_DIGITS = 2;
-const MAX_NUM_DECIMAL_PLACES = 4;
-
-/**
- * Get a succint string representation of a number.
- *
- * Uses decimal notation if the number isn't too small.
- * Otherwise, use engineering notation.
- *
- * @param x Input number.
- * @return Succinct string representing `x`.
- */
-export function getSuccinctNumberDisplay(x: number): string {
-  const decimalPlaces = getDisplayDecimalPlaces(x);
-  return decimalPlaces > MAX_NUM_DECIMAL_PLACES ?
-      x.toExponential(BASE_NUM_DIGITS) :
-      x.toFixed(decimalPlaces);
-}
-
-/**
- * Determine the number of decimal places to display.
- *
- * @param x Number to display.
- * @return Number of decimal places to display for `x`.
- */
-export function getDisplayDecimalPlaces(x: number): number {
-  if (!Number.isFinite(x) || x === 0 || x > 1 || x < -1) {
-    return BASE_NUM_DIGITS;
-  } else {
-    return BASE_NUM_DIGITS - Math.floor(Math.log10(Math.abs(x)));
-  }
-}
-
-export interface TensorBoardCallbackArgs {
-  /**
-   * The frequency at which loss and metric values are written to logs.
-   *
-   * Currently supported options are:
-   *
-   * - 'batch': Write logs at the end of every batch of training, in addition
-   *   to the end of every epoch of training.
-   * - 'epoch': Write logs at the end of every epoch of training.
-   *
-   * Note that writing logs too often slows down the training.
-   *
-   * Default: 'epoch'.
-   */
-  updateFreq?: 'batch'|'epoch';
-}
-
-/**
- * Callback for logging to TensorBoard during training.
- *
- * Users are expected to access this class through the `tensorBoardCallback()`
- * factory method instead.
- */
-export class TensorBoardCallback extends CustomCallback {
-  private trainWriter: SummaryFileWriter;
-  private valWriter: SummaryFileWriter;
-  private batchesSeen: number;
-  private readonly args: TensorBoardCallbackArgs;
-
-  constructor(readonly logdir = './logs', args?: TensorBoardCallbackArgs) {
-    super({
-      onBatchEnd: async (batch: number, logs?: Logs) => {
-        this.batchesSeen++;
-        if (this.args.updateFreq !== 'epoch') {
-          this.logMetrics(logs, 'batch_', this.batchesSeen);
-        }
-      },
-      onEpochEnd: async (epoch: number, logs?: Logs) => {
-        this.logMetrics(logs, 'epoch_', epoch + 1);
-      },
-      onTrainEnd: async (logs?: Logs) => {
-        if (this.trainWriter != null) {
-          this.trainWriter.flush();
-        }
-        if (this.valWriter != null) {
-          this.valWriter.flush();
-        }
-      }
-    });
-
-    this.args = args == null ? {} : args;
-    if (this.args.updateFreq == null) {
-      this.args.updateFreq = 'epoch';
-    }
-    util.assert(
-        ['batch', 'epoch'].indexOf(this.args.updateFreq) !== -1,
-        () => `Expected updateFreq to be 'batch' or 'epoch', but got ` +
-            `${this.args.updateFreq}`);
-    this.batchesSeen = 0;
-  }
-
-  private logMetrics(logs: Logs, prefix: string, step: number) {
-    for (const key in logs) {
-      if (key === 'batch' || key === 'size' || key === 'num_steps') {
-        continue;
-      }
-
-      const VAL_PREFIX = 'val_';
-      if (key.startsWith(VAL_PREFIX)) {
-        this.ensureValWriterCreated();
-        const scalarName = prefix + key.slice(VAL_PREFIX.length);
-        this.valWriter.scalar(scalarName, logs[key], step);
-      } else {
-        this.ensureTrainWriterCreated();
-        this.trainWriter.scalar(`${prefix}${key}`, logs[key], step);
-      }
-    }
-  }
-
-  private ensureTrainWriterCreated() {
-    this.trainWriter = summaryFileWriter(path.join(this.logdir, 'train'));
-  }
-
-  private ensureValWriterCreated() {
-    this.valWriter = summaryFileWriter(path.join(this.logdir, 'val'));
-  }
-}
-
-/**
- * Callback for logging to TensorBoard during training.
- *
- * Writes the loss and metric values (if any) to the specified log directory
- * (`logdir`) which can be ingested and visualized by TensorBoard.
- * This callback is usually passed as a callback to `tf.Model.fit()` or
- * `tf.Model.fitDataset()` calls during model training. The frequency at which
- * the values are logged can be controlled with the `updateFreq` field of the
- * configuration object (2nd argument).
- *
- * Usage example:
- * ```js
- * // Constructor a toy multilayer-perceptron regressor for demo purpose.
- * const model = tf.sequential();
- * model.add(
- *     tf.layers.dense({units: 100, activation: 'relu', inputShape: [200]}));
- * model.add(tf.layers.dense({units: 1}));
- * model.compile({
- *   loss: 'meanSquaredError',
- *   optimizer: 'sgd',
- *   metrics: ['MAE']
- * });
- *
- * // Generate some random fake data for demo purpose.
- * const xs = tf.randomUniform([10000, 200]);
- * const ys = tf.randomUniform([10000, 1]);
- * const valXs = tf.randomUniform([1000, 200]);
- * const valYs = tf.randomUniform([1000, 1]);
- *
- * // Start model training process.
- * await model.fit(xs, ys, {
- *   epochs: 100,
- *   validationData: [valXs, valYs],
- *    // Add the tensorBoard callback here.
- *   callbacks: tf.node.tensorBoard('/tmp/fit_logs_1')
- * });
- * ```
- *
- * Then you can use the following commands to point tensorboard
- * to the logdir:
- *
- * ```sh
- * pip install tensorboard  # Unless you've already installed it.
- * tensorboard --logdir /tmp/fit_logs_1
- * ```
- *
- * @param logdir Directory to which the logs will be written.
- * @param args Optional configuration arguments.
- * @returns An instance of `TensorBoardCallback`, which is a subclass of
- *   `tf.CustomCallback`.
- *
- * @doc {heading: 'TensorBoard', namespace: 'node'}
- */
-export function tensorBoard(
-    logdir = './logs', args?: TensorBoardCallbackArgs): TensorBoardCallback {
-  return new TensorBoardCallback(logdir, args);
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/image.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/image.ts
deleted file mode 100644
index 2d40ece62..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/image.ts
+++ /dev/null
@@ -1,299 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Tensor, Tensor3D, Tensor4D, tidy, util} from '@tensorflow/tfjs';
-import {ensureTensorflowBackend, nodeBackend} from './nodejs_kernel_backend';
-
-export enum ImageType {
-  JPEG = 'jpeg',
-  PNG = 'png',
-  GIF = 'gif',
-  BMP = 'BMP'
-}
-
-/**
- * Decode a JPEG-encoded image to a 3D Tensor of dtype `int32`.
- *
- * @param contents The JPEG-encoded image in an Uint8Array.
- * @param channels An optional int. Defaults to 0. Accepted values are
- *     0: use the number of channels in the JPEG-encoded image.
- *     1: output a grayscale image.
- *     3: output an RGB image.
- * @param ratio An optional int. Defaults to 1. Downscaling ratio. It is used
- *     when image is type Jpeg.
- * @param fancyUpscaling An optional bool. Defaults to True. If true use a
- *     slower but nicer upscaling of the chroma planes. It is used when image is
- *     type Jpeg.
- * @param tryRecoverTruncated An optional bool. Defaults to False. If true try
- *     to recover an image from truncated input. It is used when image is type
- *     Jpeg.
- * @param acceptableFraction An optional float. Defaults to 1. The minimum
- *     required fraction of lines before a truncated input is accepted. It is
- *     used when image is type Jpeg.
- * @param dctMethod An optional string. Defaults to "". string specifying a hint
- *     about the algorithm used for decompression. Defaults to "" which maps to
- *     a system-specific default. Currently valid values are ["INTEGER_FAST",
- *     "INTEGER_ACCURATE"]. The hint may be ignored (e.g., the internal jpeg
- *     library changes to a version that does not have that specific option.) It
- *     is used when image is type Jpeg.
- * @returns A 3D Tensor of dtype `int32` with shape [height, width, 1/3].
- *
- * @doc {heading: 'Operations', subheading: 'Images', namespace: 'node'}
- */
-export function decodeJpeg(
-    contents: Uint8Array, channels = 0, ratio = 1, fancyUpscaling = true,
-    tryRecoverTruncated = false, acceptableFraction = 1,
-    dctMethod = ''): Tensor3D {
-  ensureTensorflowBackend();
-  return tidy(() => {
-    return nodeBackend()
-        .decodeJpeg(
-            contents, channels, ratio, fancyUpscaling, tryRecoverTruncated,
-            acceptableFraction, dctMethod)
-        .toInt();
-  });
-}
-
-/**
- * Decode a PNG-encoded image to a 3D Tensor of dtype `int32`.
- *
- * @param contents The PNG-encoded image in an Uint8Array.
- * @param channels An optional int. Defaults to 0. Accepted values are
- *      0: use the number of channels in the PNG-encoded image.
- *      1: output a grayscale image.
- *      3: output an RGB image.
- *      4: output an RGBA image.
- * @param dtype The data type of the result. Only `int32` is supported at this
- *     time.
- * @returns A 3D Tensor of dtype `int32` with shape [height, width, 1/3/4].
- *
- * @doc {heading: 'Operations', subheading: 'Images', namespace: 'node'}
- */
-export function decodePng(
-    contents: Uint8Array, channels = 0, dtype = 'int32'): Tensor3D {
-  util.assert(
-      dtype === 'int32',
-      () => 'decodeImage could only return Tensor of type `int32` for now.');
-  ensureTensorflowBackend();
-  return tidy(() => {
-    return nodeBackend().decodePng(contents, channels).toInt();
-  });
-}
-
-/**
- * Decode the first frame of a BMP-encoded image to a 3D Tensor of dtype
- * `int32`.
- *
- * @param contents The BMP-encoded image in an Uint8Array.
- * @param channels An optional int. Defaults to 0. Accepted values are
- *      0: use the number of channels in the BMP-encoded image.
- *      3: output an RGB image.
- *      4: output an RGBA image.
- * @returns A 3D Tensor of dtype `int32` with shape [height, width, 3/4].
- *
- * @doc {heading: 'Operations', subheading: 'Images', namespace: 'node'}
- */
-export function decodeBmp(contents: Uint8Array, channels = 0): Tensor3D {
-  ensureTensorflowBackend();
-  return tidy(() => {
-    return nodeBackend().decodeBmp(contents, channels).toInt();
-  });
-}
-
-/**
- * Decode the frame(s) of a GIF-encoded image to a 4D Tensor of dtype `int32`.
- *
- * @param contents The GIF-encoded image in an Uint8Array.
- * @returns A 4D Tensor of dtype `int32` with shape [num_frames, height, width,
- *     3]. RGB channel order.
- *
- * @doc {heading: 'Operations', subheading: 'Images', namespace: 'node'}
- */
-export function decodeGif(contents: Uint8Array): Tensor4D {
-  ensureTensorflowBackend();
-  return tidy(() => {
-    return nodeBackend().decodeGif(contents).toInt();
-  });
-}
-
-/**
- * Given the encoded bytes of an image, it returns a 3D or 4D tensor of the
- * decoded image. Supports BMP, GIF, JPEG and PNG formats.
- *
- * @param content The encoded image in an Uint8Array.
- * @param channels An optional int. Defaults to 0, use the number of channels in
- *     the image. Number of color channels for the decoded image. It is used
- *     when image is type Png, Bmp, or Jpeg.
- * @param dtype The data type of the result. Only `int32` is supported at this
- *     time.
- * @param expandAnimations A boolean which controls the shape of the returned
- *     op's output. If True, the returned op will produce a 3-D tensor for PNG,
- *     JPEG, and BMP files; and a 4-D tensor for all GIFs, whether animated or
- *     not. If, False, the returned op will produce a 3-D tensor for all file
- *     types and will truncate animated GIFs to the first frame.
- * @returns A Tensor with dtype `int32` and a 3- or 4-dimensional shape,
- *     depending on the file type. For gif file the returned Tensor shape is
- *     [num_frames, height, width, 3], and for jpeg/png/bmp the returned Tensor
- *     shape is [height, width, channels]
- *
- * @doc {heading: 'Operations', subheading: 'Images', namespace: 'node'}
- */
-export function decodeImage(
-    content: Uint8Array, channels = 0, dtype = 'int32',
-    expandAnimations = true): Tensor3D|Tensor4D {
-  util.assert(
-      dtype === 'int32',
-      () => 'decodeImage could only return Tensor of type `int32` for now.');
-
-  const imageType = getImageType(content);
-
-  // The return tensor has dtype uint8, which is not supported in
-  // TensorFlow.js, casting it to int32 which is the default dtype for image
-  // tensor. If the image is BMP, JPEG or PNG type, expanding the tensors
-  // shape so it becomes Tensor4D, which is the default tensor shape for image
-  // ([batch,imageHeight,imageWidth, depth]).
-  switch (imageType) {
-    case ImageType.JPEG:
-      return decodeJpeg(content, channels);
-    case ImageType.PNG:
-      return decodePng(content, channels);
-    case ImageType.GIF:
-      // If not to expand animations, take first frame of the gif and return
-      // as a 3D tensor.
-      return tidy(() => {
-        const img = decodeGif(content);
-        return expandAnimations ? img : img.slice(0, 1).squeeze([0]);
-      });
-    case ImageType.BMP:
-      return decodeBmp(content, channels);
-    default:
-      return null;
-  }
-}
-
-/**
- * Encodes an image tensor to JPEG.
- *
- * @param image A 3-D uint8 Tensor of shape [height, width, channels].
- * @param format An optional string from: "", "grayscale", "rgb".
- *     Defaults to "". Per pixel image format.
- *     - '': Use a default format based on the number of channels in the image.
- *     - grayscale: Output a grayscale JPEG image. The channels dimension of
- *       image must be 1.
- *     - rgb: Output an RGB JPEG image. The channels dimension of image must
- *       be 3.
- * @param quality An optional int. Defaults to 95. Quality of the compression
- *     from 0 to 100 (higher is better and slower).
- * @param progressive An optional bool. Defaults to False. If True, create a
- *     JPEG that loads progressively (coarse to fine).
- * @param optimizeSize An optional bool. Defaults to False. If True, spend
- *     CPU/RAM to reduce size with no quality change.
- * @param chromaDownsampling  An optional bool. Defaults to True.
- *     See http://en.wikipedia.org/wiki/Chroma_subsampling.
- * @param densityUnit An optional string from: "in", "cm". Defaults to "in".
- *     Unit used to specify x_density and y_density: pixels per inch ('in') or
- *     centimeter ('cm').
- * @param xDensity An optional int. Defaults to 300. Horizontal pixels per
- *     density unit.
- * @param yDensity An optional int. Defaults to 300. Vertical pixels per
- *     density unit.
- * @param xmpMetadata An optional string. Defaults to "". If not empty, embed
- *     this XMP metadata in the image header.
- * @returns The JPEG encoded data as an Uint8Array.
- *
- * @doc {heading: 'Operations', subheading: 'Images', namespace: 'node'}
- */
-export async function encodeJpeg(
-    image: Tensor3D, format: ''|'grayscale'|'rgb' = '', quality = 95,
-    progressive = false, optimizeSize = false, chromaDownsampling = true,
-    densityUnit: 'in'|'cm' = 'in', xDensity = 300, yDensity = 300,
-    xmpMetadata = ''): Promise<Uint8Array> {
-  ensureTensorflowBackend();
-
-  const backendEncodeImage = (imageData: Uint8Array) =>
-      nodeBackend().encodeJpeg(
-          imageData, image.shape, format, quality, progressive, optimizeSize,
-          chromaDownsampling, densityUnit, xDensity, yDensity, xmpMetadata);
-
-  return encodeImage(image, backendEncodeImage);
-}
-
-/**
- * Encodes an image tensor to PNG.
- *
- * @param image A 3-D uint8 Tensor of shape [height, width, channels].
- * @param compression An optional int. Defaults to 1. Compression level.
- * @returns The PNG encoded data as an Uint8Array.
- *
- * @doc {heading: 'Operations', subheading: 'Images', namespace: 'node'}
- */
-export async function encodePng(
-    image: Tensor3D, compression = 1): Promise<Uint8Array> {
-  ensureTensorflowBackend();
-
-  const backendEncodeImage = (imageData: Uint8Array) =>
-      nodeBackend().encodePng(imageData, image.shape, compression);
-  return encodeImage(image, backendEncodeImage);
-}
-
-async function encodeImage(
-    image: Tensor3D, backendEncodeImage: (imageData: Uint8Array) => Tensor):
-    Promise<Uint8Array> {
-  const encodedDataTensor =
-      backendEncodeImage(new Uint8Array(await image.data()));
-
-  const encodedPngData =
-      (
-          // tslint:disable-next-line:no-any
-          await encodedDataTensor.data())[0] as any as Uint8Array;
-  encodedDataTensor.dispose();
-  return encodedPngData;
-}
-
-/**
- * Helper function to get image type based on starting bytes of the image file.
- */
-export function getImageType(content: Uint8Array): string {
-  // Classify the contents of a file based on starting bytes (aka magic number:
-  // https://en.wikipedia.org/wiki/Magic_number_(programming)#Magic_numbers_in_files)
-  // This aligns with TensorFlow Core code:
-  // https://github.com/tensorflow/tensorflow/blob/4213d5c1bd921f8d5b7b2dc4bbf1eea78d0b5258/tensorflow/core/kernels/decode_image_op.cc#L44
-  if (content.length > 3 && content[0] === 255 && content[1] === 216 &&
-      content[2] === 255) {
-    // JPEG byte chunk starts with `ff d8 ff`
-    return ImageType.JPEG;
-  } else if (
-      content.length > 4 && content[0] === 71 && content[1] === 73 &&
-      content[2] === 70 && content[3] === 56) {
-    // GIF byte chunk starts with `47 49 46 38`
-    return ImageType.GIF;
-  } else if (
-      content.length > 8 && content[0] === 137 && content[1] === 80 &&
-      content[2] === 78 && content[3] === 71 && content[4] === 13 &&
-      content[5] === 10 && content[6] === 26 && content[7] === 10) {
-    // PNG byte chunk starts with `\211 P N G \r \n \032 \n (89 50 4E 47 0D 0A
-    // 1A 0A)`
-    return ImageType.PNG;
-  } else if (content.length > 3 && content[0] === 66 && content[1] === 77) {
-    // BMP byte chunk starts with `42 4d`
-    return ImageType.BMP;
-  } else {
-    throw new Error(
-        'Expected image (BMP, JPEG, PNG, or GIF), but got unsupported ' +
-        'image type');
-  }
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/index.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/index.ts
deleted file mode 100644
index 9756a5a7b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/index.ts
+++ /dev/null
@@ -1,86 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-// Register all kernels.
-import './register_all_kernels';
-
-import * as tf from '@tensorflow/tfjs';
-import * as path from 'path';
-
-import {ProgbarLogger} from './callbacks';
-import {nodeFileSystemRouter} from './io/file_system';
-import * as nodeIo from './io/index';
-import {NodeJSKernelBackend} from './nodejs_kernel_backend';
-import {TFJSBinding} from './tfjs_binding';
-import * as nodeVersion from './version';
-
-// tslint:disable-next-line:no-require-imports
-const binary = require('node-pre-gyp');
-const bindingPath =
-    binary.find(path.resolve(path.join(__dirname, '/../package.json')));
-
-// Check if the node native addon module exists.
-// tslint:disable-next-line:no-require-imports
-const fs = require('fs');
-if (!fs.existsSync(bindingPath)) {
-  throw new Error(
-      `The Node.js native addon module (tfjs_binding.node) can not ` +
-      `be found at path: ` + String(bindingPath) + `. \nPlease run command ` +
-      `'npm rebuild @tensorflow/tfjs-node`+
-      (String(bindingPath).indexOf('tfjs-node-gpu') > 0 ? `-gpu` : ``) +
-      ` --build-addon-from-source' to ` +
-      `rebuild the native addon module. \nIf you have problem with building ` +
-      `the addon module, please check ` +
-      `https://github.com/tensorflow/tfjs/blob/master/tfjs-node/` +
-      `WINDOWS_TROUBLESHOOTING.md or file an issue.`);
-}
-// tslint:disable-next-line:no-require-imports
-const bindings = require(bindingPath);
-
-// Merge version and io namespaces.
-export const version = {
-  ...tf.version,
-  'tfjs-node': nodeVersion.version
-};
-export const io = {
-  ...tf.io,
-  ...nodeIo
-};
-
-// Export all union package symbols
-export * from '@tensorflow/tfjs';
-export * from './node';
-
-// tslint:disable-next-line:no-require-imports
-const pjson = require('../package.json');
-
-// Side effects for default initialization of Node backend.
-tf.registerBackend('tensorflow', () => {
-  return new NodeJSKernelBackend(bindings as TFJSBinding, pjson.name);
-}, 3 /* priority */);
-
-const success = tf.setBackend('tensorflow');
-if (!success) {
-  throw new Error(`Could not initialize TensorFlow backend.`);
-}
-
-// Register the model saving and loading handlers for the 'file://' URL scheme.
-tf.io.registerLoadRouter(nodeFileSystemRouter);
-tf.io.registerSaveRouter(nodeFileSystemRouter);
-
-// Register the ProgbarLogger for Model.fit() at verbosity level 1.
-tf.registerCallbackConstructor(1, ProgbarLogger);
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/int64_tensors.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/int64_tensors.ts
deleted file mode 100644
index 406d9ccbd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/int64_tensors.ts
+++ /dev/null
@@ -1,102 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Shape, util} from '@tensorflow/tfjs';
-import {endianness} from 'os';
-
-const INT32_MAX = 2147483648;
-
-/**
- * Node.js-specific tensor type: int64-type scalar.
- *
- * This class is created for a specific purpose: to support
- * writing `step`s to TensorBoard via op-kernel bindings.
- * `step` is required to have an int64 dtype, but TensorFlow.js
- * (tfjs-core) doesn't have a built-in int64 dtype. This is
- * related to a lack of `Int64Array` or `Uint64Array` typed
- * array in basic JavaScript.
- *
- * This class is introduced as a workaround.
- */
-export class Int64Scalar {
-  readonly dtype: string = 'int64';
-  readonly rank: number = 1;
-  private valueArray_: Int32Array;
-
-  private static endiannessOkay_: boolean;
-
-  constructor(readonly value: number) {
-    // The reason why we need to check endianness of the machine here is
-    // negative int64 values and the way in which we represent them
-    // using Int32Arrays in JavaScript. We represent each int64 value with
-    // two consecutive elements of an Int32Array. For positive values,
-    // the high part is simply zero; for negative values, the high part
-    // should be -1. The ordering of the low and high parts assumes
-    // little endian (i.e., least significant digits appear first).
-    // This assumption is checked by the lines below.
-    if (Int64Scalar.endiannessOkay_ == null) {
-      if (endianness() !== 'LE') {
-        throw new Error(
-            `Int64Scalar does not support endianness of this machine: ` +
-            `${endianness()}`);
-      }
-      Int64Scalar.endiannessOkay_ = true;
-    }
-
-    util.assert(
-        value > -INT32_MAX && value < INT32_MAX - 1,
-        () =>
-            `Got a value outside of the bound of values supported for int64 ` +
-            `dtype ([-${INT32_MAX}, ${INT32_MAX - 1}]): ${value}`);
-    util.assert(
-        Number.isInteger(value),
-        () => `Expected value to be an integer, but got ${value}`);
-
-    // We use two int32 elements to represent a int64 value. This assumes
-    // little endian, which is checked above.
-    const highPart = value >= 0 ? 0 : -1;
-    const lowPart = value % INT32_MAX;
-    this.valueArray_ = new Int32Array([lowPart, highPart]);
-  }
-
-  get shape(): Shape {
-    return [];
-  }
-
-  /** Get the Int32Array that represents the int64 value. */
-  get valueArray(): Int32Array {
-    return this.valueArray_;
-  }
-}
-
-/**
- * This method encodes a Int32Array as Int64 layout in order to create TF_INT64
- * tensor through binding.
- */
-export function encodeInt32ArrayAsInt64(value: Int32Array): Int32Array {
-  if (endianness() !== 'LE') {
-    throw new Error(
-        `Int64Scalar does not support endianness of this machine: ` +
-        `${endianness()}`);
-  }
-
-  const buffer = new Int32Array(value.length * 2);
-  for (let i = 0; i < value.length; i++) {
-    buffer[i * 2] = value[i];
-  }
-  return buffer;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/file_system.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/file_system.ts
deleted file mode 100644
index 4d2d33276..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/file_system.ts
+++ /dev/null
@@ -1,288 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import * as tf from '@tensorflow/tfjs';
-import * as fs from 'fs';
-import {dirname, join, resolve} from 'path';
-import {promisify} from 'util';
-
-import {getModelArtifactsInfoForJSON, toArrayBuffer} from './io_utils';
-
-const stat = promisify(fs.stat);
-const writeFile = promisify(fs.writeFile);
-const readFile = promisify(fs.readFile);
-const mkdir = promisify(fs.mkdir);
-
-function doesNotExistHandler(name: string): (e: NodeJS.ErrnoException) =>
-    never {
-  return e => {
-    switch (e.code) {
-      case 'ENOENT':
-        throw new Error(`${name} ${e.path} does not exist: loading failed`);
-      default:
-        throw e;
-    }
-  };
-}
-
-export class NodeFileSystem implements tf.io.IOHandler {
-  static readonly URL_SCHEME = 'file://';
-
-  protected readonly path: string|string[];
-
-  readonly MODEL_JSON_FILENAME = 'model.json';
-  readonly WEIGHTS_BINARY_FILENAME = 'weights.bin';
-  readonly MODEL_BINARY_FILENAME = 'tensorflowjs.pb';
-
-  /**
-   * Constructor of the NodeFileSystem IOHandler.
-   * @param path A single path or an Array of paths.
-   *   For saving: expects a single path pointing to an existing or nonexistent
-   *     directory. If the directory does not exist, it will be
-   *     created.
-   *   For loading:
-   *     - If the model has JSON topology (e.g., `tf.Model`), a single path
-   *       pointing to the JSON file (usually named `model.json`) is expected.
-   *       The JSON file is expected to contain `modelTopology` and/or
-   *       `weightsManifest`. If `weightManifest` exists, the values of the
-   *       weights will be loaded from relative paths (relative to the directory
-   *       of `model.json`) as contained in `weightManifest`.
-   *     - If the model has binary (protocol buffer GraphDef) topology,
-   *       an Array of two paths is expected: the first path should point to the
-   *       .pb file and the second path should point to the weight manifest
-   *       JSON file.
-   */
-  constructor(path: string|string[]) {
-    if (Array.isArray(path)) {
-      tf.util.assert(
-          path.length === 2,
-          () => 'file paths must have a length of 2, ' +
-              `(actual length is ${path.length}).`);
-      this.path = path.map(p => resolve(p));
-    } else {
-      this.path = resolve(path);
-    }
-  }
-
-  async save(modelArtifacts: tf.io.ModelArtifacts): Promise<tf.io.SaveResult> {
-    if (Array.isArray(this.path)) {
-      throw new Error('Cannot perform saving to multiple paths.');
-    }
-
-    await this.createOrVerifyDirectory();
-
-    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {
-      throw new Error(
-          'NodeFileSystem.save() does not support saving model topology ' +
-          'in binary format yet.');
-      // TODO(cais, nkreeger): Implement this. See
-      //   https://github.com/tensorflow/tfjs/issues/343
-    } else {
-      const weightsBinPath = join(this.path, this.WEIGHTS_BINARY_FILENAME);
-      const weightsManifest = [{
-        paths: [this.WEIGHTS_BINARY_FILENAME],
-        weights: modelArtifacts.weightSpecs
-      }];
-      const modelJSON: tf.io.ModelJSON = {
-        modelTopology: modelArtifacts.modelTopology,
-        weightsManifest,
-        format: modelArtifacts.format,
-        generatedBy: modelArtifacts.generatedBy,
-        convertedBy: modelArtifacts.convertedBy
-      };
-      if (modelArtifacts.trainingConfig != null) {
-        modelJSON.trainingConfig = modelArtifacts.trainingConfig;
-      }
-      if (modelArtifacts.signature != null) {
-        modelJSON.signature = modelArtifacts.signature;
-      }
-      if (modelArtifacts.userDefinedMetadata != null) {
-        modelJSON.userDefinedMetadata = modelArtifacts.userDefinedMetadata;
-      }
-      const modelJSONPath = join(this.path, this.MODEL_JSON_FILENAME);
-      await writeFile(modelJSONPath, JSON.stringify(modelJSON), 'utf8');
-      await writeFile(
-          weightsBinPath, Buffer.from(modelArtifacts.weightData), 'binary');
-
-      return {
-        // TODO(cais): Use explicit tf.io.ModelArtifactsInfo type below once it
-        // is available.
-        // tslint:disable-next-line:no-any
-        modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts) as any
-      };
-    }
-  }
-  async load(): Promise<tf.io.ModelArtifacts> {
-    return Array.isArray(this.path) ? this.loadBinaryModel() :
-                                      this.loadJSONModel();
-  }
-
-  protected async loadBinaryModel(): Promise<tf.io.ModelArtifacts> {
-    const topologyPath = this.path[0];
-    const weightManifestPath = this.path[1];
-    const topology =
-        await stat(topologyPath).catch(doesNotExistHandler('Topology Path'));
-    const weightManifest =
-        await stat(weightManifestPath)
-            .catch(doesNotExistHandler('Weight Manifest Path'));
-
-    // `this.path` can be either a directory or a file. If it is a file, assume
-    // it is model.json file.
-    if (!topology.isFile()) {
-      throw new Error('File specified for topology is not a file!');
-    }
-    if (!weightManifest.isFile()) {
-      throw new Error('File specified for the weight manifest is not a file!');
-    }
-
-    const modelTopology = await readFile(this.path[0]);
-    const weightsManifest = JSON.parse(await readFile(this.path[1], 'utf8'));
-
-    const modelArtifacts: tf.io.ModelArtifacts = {
-      modelTopology,
-    };
-    const [weightSpecs, weightData] =
-        await this.loadWeights(weightsManifest, this.path[1]);
-
-    modelArtifacts.weightSpecs = weightSpecs;
-    modelArtifacts.weightData = weightData;
-
-    return modelArtifacts;
-  }
-
-  protected async loadJSONModel(): Promise<tf.io.ModelArtifacts> {
-    const path = this.path as string;
-    const info = await stat(path).catch(doesNotExistHandler('Path'));
-
-    // `path` can be either a directory or a file. If it is a file, assume
-    // it is model.json file.
-    if (info.isFile()) {
-      const modelJSON = JSON.parse(await readFile(path, 'utf8'));
-
-      const modelArtifacts: tf.io.ModelArtifacts = {
-        modelTopology: modelJSON.modelTopology,
-        format: modelJSON.format,
-        generatedBy: modelJSON.generatedBy,
-        convertedBy: modelJSON.convertedBy
-      };
-      if (modelJSON.weightsManifest != null) {
-        const [weightSpecs, weightData] =
-            await this.loadWeights(modelJSON.weightsManifest, path);
-        modelArtifacts.weightSpecs = weightSpecs;
-        modelArtifacts.weightData = weightData;
-      }
-      if (modelJSON.trainingConfig != null) {
-        modelArtifacts.trainingConfig = modelJSON.trainingConfig;
-      }
-      if (modelJSON.signature != null) {
-        modelArtifacts.signature = modelJSON.signature;
-      }
-      if (modelJSON.userDefinedMetadata != null) {
-        modelArtifacts.userDefinedMetadata = modelJSON.userDefinedMetadata;
-      }
-      return modelArtifacts;
-    } else {
-      throw new Error(
-          'The path to load from must be a file. Loading from a directory ' +
-          'is not supported.');
-    }
-  }
-
-  private async loadWeights(
-      weightsManifest: tf.io.WeightsManifestConfig,
-      path: string): Promise<[tf.io.WeightsManifestEntry[], ArrayBuffer]> {
-    const dirName = dirname(path);
-    const buffers: Buffer[] = [];
-    const weightSpecs: tf.io.WeightsManifestEntry[] = [];
-    for (const group of weightsManifest) {
-      for (const path of group.paths) {
-        const weightFilePath = join(dirName, path);
-        const buffer = await readFile(weightFilePath)
-                           .catch(doesNotExistHandler('Weight file'));
-        buffers.push(buffer);
-      }
-      weightSpecs.push(...group.weights);
-    }
-    return [weightSpecs, toArrayBuffer(buffers)];
-  }
-
-  /**
-   * For each item in `this.path`, creates a directory at the path or verify
-   * that the path exists as a directory.
-   */
-  protected async createOrVerifyDirectory() {
-    const paths = Array.isArray(this.path) ? this.path : [this.path];
-    for (const path of paths) {
-      try {
-        await mkdir(path);
-      } catch (e) {
-        if (e.code === 'EEXIST') {
-          if ((await stat(path)).isFile()) {
-            throw new Error(
-                `Path ${path} exists as a file. The path must be ` +
-                `nonexistent or point to a directory.`);
-          }
-          // else continue, the directory exists
-        } else {
-          throw e;
-        }
-      }
-    }
-  }
-}
-
-export const nodeFileSystemRouter = (url: string|string[]) => {
-  if (Array.isArray(url)) {
-    if (url.every(
-            urlElement => urlElement.startsWith(NodeFileSystem.URL_SCHEME))) {
-      return new NodeFileSystem(url.map(
-          urlElement => urlElement.slice(NodeFileSystem.URL_SCHEME.length)));
-    } else {
-      return null;
-    }
-  } else {
-    if (url.startsWith(NodeFileSystem.URL_SCHEME)) {
-      return new NodeFileSystem(url.slice(NodeFileSystem.URL_SCHEME.length));
-    } else {
-      return null;
-    }
-  }
-};
-// Registration of `nodeFileSystemRouter` is done in index.ts.
-
-/**
- * Factory function for Node.js native file system IO Handler.
- *
- * @param path A single path or an Array of paths.
- *   For saving: expects a single path pointing to an existing or nonexistent
- *     directory. If the directory does not exist, it will be
- *     created.
- *   For loading:
- *     - If the model has JSON topology (e.g., `tf.Model`), a single path
- *       pointing to the JSON file (usually named `model.json`) is expected.
- *       The JSON file is expected to contain `modelTopology` and/or
- *       `weightsManifest`. If `weightManifest` exists, the values of the
- *       weights will be loaded from relative paths (relative to the directory
- *       of `model.json`) as contained in `weightManifest`.
- *     - If the model has binary (protocol buffer GraphDef) topology,
- *       an Array of two paths is expected: the first path should point to the
- *        .pb file and the second path should point to the weight manifest
- *       JSON file.
- */
-export function fileSystem(path: string|string[]): NodeFileSystem {
-  return new NodeFileSystem(path);
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/index.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/index.ts
deleted file mode 100644
index 019ea6a45..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/index.ts
+++ /dev/null
@@ -1,23 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-/**
- * Public exports from the `io` module.
- */
-
-export {fileSystem} from './file_system';
-export {nodeHTTPRequest} from './node_http';
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/io_utils.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/io_utils.ts
deleted file mode 100644
index 74582196e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/io_utils.ts
+++ /dev/null
@@ -1,80 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import * as tf from '@tensorflow/tfjs';
-
-/**
- * Convert an ArrayBuffer to a Buffer.
- */
-export function toBuffer(ab: ArrayBuffer): Buffer {
-  const view = new Uint8Array(ab);
-  return Buffer.from(view);  // copies data
-}
-
-/**
- * Convert a Buffer or an Array of Buffers to an ArrayBuffer.
- *
- * If the input is an Array of Buffers, they will be concatenated in the
- * specified order to form the output ArrayBuffer.
- */
-export function toArrayBuffer(buf: Buffer|Buffer[]): ArrayBuffer {
-  if (Array.isArray(buf)) {
-    // An Array of Buffers.
-    let totalLength = 0;
-    for (const buffer of buf) {
-      totalLength += buffer.length;
-    }
-
-    const ab = new ArrayBuffer(totalLength);
-    const view = new Uint8Array(ab);
-    let pos = 0;
-    for (const buffer of buf) {
-      pos += buffer.copy(view, pos);
-    }
-    return ab;
-  } else {
-    // A single Buffer. Return a copy of the underlying ArrayBuffer slice.
-    return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);
-  }
-}
-
-// TODO(cais): Use explicit tf.io.ModelArtifactsInfo return type below once it
-// is available.
-/**
- * Populate ModelArtifactsInfo fields for a model with JSON topology.
- * @param modelArtifacts
- * @returns A ModelArtifactsInfo object.
- */
-export function getModelArtifactsInfoForJSON(
-    modelArtifacts: tf.io.ModelArtifacts) {
-  if (modelArtifacts.modelTopology instanceof ArrayBuffer) {
-    throw new Error('Expected JSON model topology, received ArrayBuffer.');
-  }
-  return {
-    dateSaved: new Date(),
-    modelTopologyType: 'JSON',
-    modelTopologyBytes: modelArtifacts.modelTopology == null ?
-        0 :
-        Buffer.byteLength(JSON.stringify(modelArtifacts.modelTopology), 'utf8'),
-    weightSpecsBytes: modelArtifacts.weightSpecs == null ?
-        0 :
-        Buffer.byteLength(JSON.stringify(modelArtifacts.weightSpecs), 'utf8'),
-    weightDataBytes: modelArtifacts.weightData == null ?
-        0 :
-        modelArtifacts.weightData.byteLength,
-  };
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/node_http.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/node_http.ts
deleted file mode 100644
index 5fef3dbdd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/io/node_http.ts
+++ /dev/null
@@ -1,45 +0,0 @@
-/**
- * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {io} from '@tensorflow/tfjs';
-
-/**
- * Factory function for HTTP IO Handler in Node.js.
- *
- * @param path URL path or an array of them.
- * @param requestInit Request init for the HTTP IOHandler. May include fields
- *   such as "credentials" and "cache". (Optional)
- * @param weightPathPrefix A path prefix for weight loading . (Optional).
- */
-export function nodeHTTPRequest(
-    path: string, requestInit?: RequestInit,
-    weightPathPrefix?: string): io.IOHandler {
-  return io.browserHTTPRequest(path, {requestInit, weightPathPrefix});
-}
-
-export const nodeHTTPRequestRouter = (url: string) => {
-  let isHTTP = true;
-  if (Array.isArray(url)) {
-    isHTTP = url.every(urlItem => io.isHTTPScheme(urlItem));
-  } else {
-    isHTTP = io.isHTTPScheme(url);
-  }
-  if (isHTTP) {
-    return nodeHTTPRequest(url);
-  }
-  return null;
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Abs.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Abs.ts
deleted file mode 100644
index 074618e4c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Abs.ts
+++ /dev/null
@@ -1,38 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Abs, AbsInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const absConfig: KernelConfig = {
-  kernelName: Abs,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AbsInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    if (x.dtype === 'complex64') {
-      const opAttrs = [
-        createTensorsTypeOpAttr('T', x.dtype),
-        createTensorsTypeOpAttr('Tout', 'float32')
-      ];
-      return backend.executeSingleOutput('ComplexAbs', opAttrs, [x]);
-    }
-    return backend.executeSingleInput(Abs, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Acos.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Acos.ts
deleted file mode 100644
index 6beea67e0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Acos.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Acos, AcosInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const acosConfig: KernelConfig = {
-  kernelName: Acos,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AcosInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Acos, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Acosh.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Acosh.ts
deleted file mode 100644
index 47de82f80..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Acosh.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Acosh, AcoshInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const acoshConfig: KernelConfig = {
-  kernelName: Acosh,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AcoshInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Acosh, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Add.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Add.ts
deleted file mode 100644
index d08ecf9e4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Add.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Add, AddInputs, backend_util, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const addConfig: KernelConfig = {
-  kernelName: Add,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as AddInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(Add, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AddN.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AddN.ts
deleted file mode 100644
index b628fb1c0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AddN.ts
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {AddN, AddNInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const addNConfig: KernelConfig = {
-  kernelName: AddN,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const tensors = args.inputs as {} as AddNInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', tensors[0].dtype),
-      {name: 'N', type: backend.binding.TF_ATTR_INT, value: tensors.length}
-    ];
-    return backend.executeSingleOutput(AddN, opAttrs, tensors);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/All.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/All.ts
deleted file mode 100644
index 69e19ed70..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/All.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {All, AllAttrs, AllInputs, KernelConfig, tensor1d, util} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const allConfig: KernelConfig = {
-  kernelName: All,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AllInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, keepDims} = args.attrs as {} as AllAttrs;
-
-    const origAxes = util.parseAxisParam(axis, x.shape);
-    const opAttrs = [
-      {name: 'keep_dims', type: backend.binding.TF_ATTR_BOOL, value: keepDims},
-      createTensorsTypeOpAttr('Tidx', 'int32')
-    ];
-    const axesTensor = tensor1d(origAxes, 'int32');
-    const res = backend.executeSingleOutput(All, opAttrs, [x, axesTensor]);
-    axesTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Any.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Any.ts
deleted file mode 100644
index ec59359ab..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Any.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Any, AnyAttrs, AnyInputs, KernelConfig, tensor1d, util} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const anyConfig: KernelConfig = {
-  kernelName: Any,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AnyInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, keepDims} = args.attrs as {} as AnyAttrs;
-
-    const origAxes = util.parseAxisParam(axis, x.shape);
-    const opAttrs = [
-      {name: 'keep_dims', type: backend.binding.TF_ATTR_BOOL, value: keepDims},
-      createTensorsTypeOpAttr('Tidx', 'int32')
-    ];
-    const axesTensor = tensor1d(origAxes, 'int32');
-    const res = backend.executeSingleOutput(Any, opAttrs, [x, axesTensor]);
-    axesTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ArgMax.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ArgMax.ts
deleted file mode 100644
index 1ab79a295..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ArgMax.ts
+++ /dev/null
@@ -1,49 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {ArgMax, ArgMaxAttrs, ArgMaxInputs, KernelConfig, scalar, Tensor} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const argMaxConfig: KernelConfig = {
-  kernelName: ArgMax,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ArgMaxInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis} = args.attrs as {} as ArgMaxAttrs;
-
-    const toDispose: Tensor[] = [];
-    let xInput = x;
-    if (x.dtype === 'bool') {
-      xInput = (x as Tensor).toInt();
-      toDispose.push(xInput as Tensor);
-    }
-    const axisScalar = scalar(axis, 'int32');
-    toDispose.push(axisScalar);
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', xInput.dtype),
-      createTensorsTypeOpAttr('Tidx', 'int32'),
-      createTensorsTypeOpAttr('output_type', 'int32')
-    ];
-
-    const res =
-        backend.executeSingleOutput(ArgMax, opAttrs, [xInput, axisScalar]);
-    toDispose.forEach(t => t.dispose());
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ArgMin.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ArgMin.ts
deleted file mode 100644
index 9c3aabf64..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ArgMin.ts
+++ /dev/null
@@ -1,49 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {ArgMin, ArgMinAttrs, ArgMinInputs, KernelConfig, scalar, Tensor} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const argMinConfig: KernelConfig = {
-  kernelName: ArgMin,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ArgMinInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis} = args.attrs as {} as ArgMinAttrs;
-
-    const toDispose: Tensor[] = [];
-    let xInput = x;
-    if (x.dtype === 'bool') {
-      xInput = (x as Tensor).toInt();
-      toDispose.push(xInput as Tensor);
-    }
-    const axisScalar = scalar(axis, 'int32');
-    toDispose.push(axisScalar);
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', xInput.dtype),
-      createTensorsTypeOpAttr('Tidx', 'int32'),
-      createTensorsTypeOpAttr('output_type', 'int32')
-    ];
-
-    const res =
-        backend.executeSingleOutput(ArgMin, opAttrs, [xInput, axisScalar]);
-    toDispose.forEach(t => t.dispose());
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Asin.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Asin.ts
deleted file mode 100644
index b8005fc2f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Asin.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Asin, AsinInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const asinConfig: KernelConfig = {
-  kernelName: Asin,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AsinInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Asin, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Asinh.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Asinh.ts
deleted file mode 100644
index 13a27901e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Asinh.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Asinh, AsinhInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const asinhConfig: KernelConfig = {
-  kernelName: Asinh,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AsinhInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Asinh, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atan.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atan.ts
deleted file mode 100644
index e1463c46d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atan.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Atan, AtanInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const atanConfig: KernelConfig = {
-  kernelName: Atan,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AtanInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Atan, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atan2.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atan2.ts
deleted file mode 100644
index d5e19da47..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atan2.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Atan2, Atan2Inputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const atan2Config: KernelConfig = {
-  kernelName: Atan2,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as Atan2Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr('T', a.dtype)];
-    return backend.executeSingleOutput(Atan2, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atanh.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atanh.ts
deleted file mode 100644
index d7a6c8188..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Atanh.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Atanh, AtanhInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const atanhConfig: KernelConfig = {
-  kernelName: Atanh,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AtanhInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Atanh, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool.ts
deleted file mode 100644
index 3a76b92da..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool.ts
+++ /dev/null
@@ -1,57 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {AvgPool, AvgPoolAttrs, AvgPoolInputs, backend_util, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const avgPoolConfig: KernelConfig = {
-  kernelName: AvgPool,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AvgPoolInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad, dimRoundingMode} =
-        args.attrs as {} as AvgPoolAttrs;
-
-    const convInfo = backend_util.computePool2DInfo(
-        x.shape as [number, number, number, number], filterSize, strides,
-        1 /* dilations */, pad, dimRoundingMode);
-
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
-    const $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-    const padding = convInfo.padInfo.type;
-    const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
-      {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      },
-    ];
-    return backend.executeSingleOutput(AvgPool, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool3D.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool3D.ts
deleted file mode 100644
index 6df0d06e3..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool3D.ts
+++ /dev/null
@@ -1,62 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {AvgPool3D, AvgPool3DAttrs, AvgPool3DInputs, backend_util, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const avgPool3DConfig: KernelConfig = {
-  kernelName: AvgPool3D,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as AvgPool3DInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad, dimRoundingMode, dataFormat} =
-        args.attrs as {} as AvgPool3DAttrs;
-
-    const convInfo = backend_util.computePool3DInfo(
-        x.shape as [number, number, number, number, number], filterSize,
-        strides, 1 /* dilations */, pad, dimRoundingMode, dataFormat);
-
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [
-      1, convInfo.filterDepth, convInfo.filterHeight, convInfo.filterWidth, 1
-    ];
-    const $strides = [
-      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-    ];
-    const padding = convInfo.padInfo.type;
-    const $dataFormat =
-        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
-      {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: $dataFormat
-      },
-    ];
-    return backend.executeSingleOutput(AvgPool3D, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool3DGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool3DGrad.ts
deleted file mode 100644
index e60734708..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPool3DGrad.ts
+++ /dev/null
@@ -1,65 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {AvgPool3DGrad, AvgPool3DGradAttrs, AvgPool3DGradInputs, backend_util, KernelConfig, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const avgPool3DGradConfig: KernelConfig = {
-  kernelName: AvgPool3DGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, input} = args.inputs as AvgPool3DGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad, dimRoundingMode} =
-        args.attrs as {} as AvgPool3DGradAttrs;
-
-    const convInfo = backend_util.computePool3DInfo(
-        input.shape as [number, number, number, number, number], filterSize,
-        strides, 1 /* dilations */, pad, dimRoundingMode);
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding type was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [
-      1, convInfo.filterDepth, convInfo.filterHeight, convInfo.filterWidth, 1
-    ];
-    const $strides = [
-      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-    ];
-    const padding = convInfo.padInfo.type;
-    const dataFormat =
-        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', input.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
-      {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      },
-    ];
-    const origInputShape = tensor1d(input.shape, 'int32');
-    const res = backend.executeSingleOutput(
-        AvgPool3DGrad, opAttrs, [origInputShape, dy]);
-    origInputShape.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPoolGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPoolGrad.ts
deleted file mode 100644
index df7914406..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/AvgPoolGrad.ts
+++ /dev/null
@@ -1,60 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {AvgPoolGrad, AvgPoolGradAttrs, AvgPoolGradInputs, backend_util, KernelConfig, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const avgPoolGradConfig: KernelConfig = {
-  kernelName: AvgPoolGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, input} = args.inputs as AvgPoolGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad} = args.attrs as {} as AvgPoolGradAttrs;
-
-    const convInfo = backend_util.computePool2DInfo(
-        input.shape as [number, number, number, number], filterSize, strides,
-        1 /* dilations */, pad);
-
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding type was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
-    const $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-    const padding = convInfo.padInfo.type;
-    const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', input.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
-      {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      },
-    ];
-    const origInputShape = tensor1d(input.shape, 'int32');
-    const ret =
-        backend.executeSingleOutput(AvgPoolGrad, opAttrs, [origInputShape, dy]);
-    origInputShape.dispose();
-    return ret;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/BatchMatMul.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/BatchMatMul.ts
deleted file mode 100644
index 96a726ce7..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/BatchMatMul.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {BatchMatMul, BatchMatMulAttrs, BatchMatMulInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const batchMatMulConfig: KernelConfig = {
-  kernelName: BatchMatMul,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as BatchMatMulInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {transposeA, transposeB} = args.attrs as {} as BatchMatMulAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', a.dtype),
-      {name: 'adj_x', type: backend.binding.TF_ATTR_BOOL, value: transposeA},
-      {name: 'adj_y', type: backend.binding.TF_ATTR_BOOL, value: transposeB}
-    ];
-    return backend.executeSingleOutput(BatchMatMul, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/BatchToSpaceND.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/BatchToSpaceND.ts
deleted file mode 100644
index fac53d108..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/BatchToSpaceND.ts
+++ /dev/null
@@ -1,46 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {BatchToSpaceND, BatchToSpaceNDAttrs, BatchToSpaceNDInputs, KernelConfig, tensor1d, tensor2d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const batchToSpaceNDConfig: KernelConfig = {
-  kernelName: BatchToSpaceND,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as BatchToSpaceNDInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {blockShape, crops} = args.attrs as {} as BatchToSpaceNDAttrs;
-
-    const blockShapeTensor = tensor1d(blockShape, 'int32');
-    const cropsTensor =
-        tensor2d(crops, [crops.length, crops[0].length], 'int32');
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tblock_shape', 'int32'),
-      createTensorsTypeOpAttr('Tcrops', cropsTensor.dtype)
-    ];
-    const res = backend.executeSingleOutput(
-        BatchToSpaceND, opAttrs, [x, blockShapeTensor, cropsTensor]);
-
-    cropsTensor.dispose();
-    blockShapeTensor.dispose();
-
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Bincount.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Bincount.ts
deleted file mode 100644
index 6052fe184..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Bincount.ts
+++ /dev/null
@@ -1,41 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Bincount, BincountAttrs, BincountInputs, KernelConfig, scalar} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const bincountConfig: KernelConfig = {
-  kernelName: Bincount,
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend, attrs}) => {
-    const {x, weights} = inputs as BincountInputs;
-    const {size} = attrs as {} as BincountAttrs;
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    const $size = scalar(size, 'int32');
-
-    const opAttrs = [createTensorsTypeOpAttr('T', weights.dtype)];
-
-    const result =
-        nodeBackend.executeSingleOutput(Bincount, opAttrs, [x, $size, weights]);
-
-    $size.dispose();
-
-    return result;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cast.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cast.ts
deleted file mode 100644
index 93663896b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cast.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Cast, CastAttrs, CastInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const castConfig: KernelConfig = {
-  kernelName: Cast,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as CastInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {dtype} = args.attrs as {} as CastAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('SrcT', x.dtype),
-      createTensorsTypeOpAttr('DstT', dtype),
-      {name: 'Truncate', type: backend.binding.TF_ATTR_BOOL, value: false}
-    ];
-    return backend.executeSingleOutput(Cast, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Ceil.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Ceil.ts
deleted file mode 100644
index 9ebbd545f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Ceil.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Ceil, CeilInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const ceilConfig: KernelConfig = {
-  kernelName: Ceil,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as CeilInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Ceil, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ClipByValue.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ClipByValue.ts
deleted file mode 100644
index f76a71294..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ClipByValue.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {ClipByValue, ClipByValueAttrs, ClipByValueInputs, KernelConfig, maximum, minimum, scalar, Tensor, tidy} from '@tensorflow/tfjs';
-
-export const clipByValueConfig: KernelConfig = {
-  kernelName: ClipByValue,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ClipByValueInputs;
-    const {clipValueMin, clipValueMax} = args.attrs as {} as ClipByValueAttrs;
-
-    return tidy(() => {
-      const xMin = minimum(x as Tensor, scalar(clipValueMax, x.dtype));
-      return maximum(xMin, scalar(clipValueMin, x.dtype));
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Complex.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Complex.ts
deleted file mode 100644
index 4ef544b20..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Complex.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Complex, ComplexInputs, KernelConfig, Tensor} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const complexConfig: KernelConfig = {
-  kernelName: Complex,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {real, imag} = args.inputs as ComplexInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', real as Tensor),
-      {
-        name: 'Tout',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.binding.TF_COMPLEX64
-      },
-    ];
-    const inputs = [real, imag];
-    return backend.executeSingleOutput(Complex, opAttrs, inputs);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ComplexAbs.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ComplexAbs.ts
deleted file mode 100644
index 41fb32d9a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ComplexAbs.ts
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {ComplexAbs, ComplexAbsInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const complexAbsConfig: KernelConfig = {
-  kernelName: ComplexAbs,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ComplexAbsInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tout', 'float32')
-    ];
-    return backend.executeSingleOutput(ComplexAbs, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Concat.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Concat.ts
deleted file mode 100644
index e59b28dfa..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Concat.ts
+++ /dev/null
@@ -1,46 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Concat, ConcatAttrs, ConcatInputs, KernelConfig, scalar, Tensor} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const concatConfig: KernelConfig = {
-  kernelName: Concat,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const tensors = args.inputs as {} as ConcatInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis} = args.attrs as {} as ConcatAttrs;
-
-    const opAttrs = [
-      {name: 'N', type: backend.binding.TF_ATTR_INT, value: tensors.length}, {
-        name: 'Tidx',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.binding.TF_INT32
-      },
-      createTensorsTypeOpAttr('T', tensors as Tensor[])
-    ];
-
-    const inputs = Array.from(tensors);
-    const axisTensor = scalar(axis, 'int32');
-    inputs.push(axisTensor);
-    const res = backend.executeSingleOutput('ConcatV2', opAttrs, inputs);
-    axisTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2D.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2D.ts
deleted file mode 100644
index 0948cf500..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2D.ts
+++ /dev/null
@@ -1,79 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Conv2D, Conv2DAttrs, Conv2DInputs, KernelConfig, Tensor4D, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const conv2DConfig: KernelConfig = {
-  kernelName: Conv2D,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, filter} = args.inputs as Conv2DInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, pad, dataFormat, dilations, dimRoundingMode} =
-        args.attrs as {} as Conv2DAttrs;
-
-    const $dataFormat = backend_util.convertConv2DDataFormat(dataFormat);
-    const convInfo = backend_util.computeConv2DInfo(
-        x.shape as [number, number, number, number],
-        filter.shape as [number, number, number, number], strides, dilations,
-        pad, dimRoundingMode, false /* depthwise */, $dataFormat);
-
-    return conv2dImpl(x, filter, convInfo, backend);
-  }
-};
-
-export function conv2dImpl(
-    x: TensorInfo, filter: TensorInfo, convInfo: backend_util.Conv2DInfo,
-    backend: NodeJSKernelBackend): Tensor4D {
-  if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME' &&
-      convInfo.padInfo.type !== 'EXPLICIT') {
-    throw new Error(
-        `TF Backend supports only 'valid' and 'same' padding ` +
-        `while padding was ${convInfo.padInfo.type}`);
-  }
-  const strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-  const padding = convInfo.padInfo.type;
-  const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-  const dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
-  const opAttrs = [
-    createTensorsTypeOpAttr('T', x.dtype),
-    {name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides},
-    {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
-    {
-      name: 'data_format',
-      type: backend.binding.TF_ATTR_STRING,
-      value: dataFormat
-    },
-    {name: 'use_cudnn_on_gpu', type: backend.binding.TF_ATTR_BOOL, value: true},
-    {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations},
-  ];
-  if (padding === 'EXPLICIT') {
-    const padValue = [
-      convInfo.padInfo.top, convInfo.padInfo.bottom, convInfo.padInfo.left,
-      convInfo.padInfo.right
-    ];
-    opAttrs.push({
-      name: 'explicit_paddings',
-      type: backend.binding.TF_ATTR_INT,
-      value: dataFormat === 'NHWC' ? [0, 0, ...padValue, 0, 0] :
-                                     [0, 0, 0, 0, ...padValue]
-    });
-  }
-  return backend.executeSingleOutput(Conv2D, opAttrs, [x, filter]) as Tensor4D;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2DBackpropFilter.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2DBackpropFilter.ts
deleted file mode 100644
index dcb984f9f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2DBackpropFilter.ts
+++ /dev/null
@@ -1,70 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Conv2DBackpropFilter, Conv2DBackpropFilterAttrs, Conv2DBackpropFilterInputs, KernelConfig, tensor1d, Tensor4D, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const conv2DBackpropFilterConfig: KernelConfig = {
-  kernelName: Conv2DBackpropFilter,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, dy} = args.inputs as Conv2DBackpropFilterInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, pad, dataFormat, dimRoundingMode, filterShape} =
-        args.attrs as {} as Conv2DBackpropFilterAttrs;
-
-    const $dataFormat = backend_util.convertConv2DDataFormat(dataFormat);
-    const convInfo = backend_util.computeConv2DInfo(
-        x.shape as [number, number, number, number], filterShape, strides,
-        1 /* dilations */, pad, dimRoundingMode, false /* depthwise */,
-        $dataFormat);
-
-    return conv2DBackpropFilterImpl(dy, x, convInfo, backend);
-  }
-};
-
-function conv2DBackpropFilterImpl(
-    dy: TensorInfo, filter: TensorInfo, convInfo: backend_util.Conv2DInfo,
-    backend: NodeJSKernelBackend): Tensor4D {
-  if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-    throw new Error(
-        `TF Backend supports only 'valid' and 'same' padding ` +
-        `while padding was ${convInfo.padInfo.type}`);
-  }
-  const strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-  const padding = convInfo.padInfo.type;
-  const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-  const dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
-  const opAttrs = [
-    createTensorsTypeOpAttr('T', 'float32'),
-    {name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides},
-    {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-      name: 'data_format',
-      type: backend.binding.TF_ATTR_STRING,
-      value: dataFormat
-    },
-    {name: 'use_cudnn_on_gpu', type: backend.binding.TF_ATTR_BOOL, value: true},
-    {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations}
-  ];
-  const filterSizes = tensor1d(convInfo.filterShape, 'int32');
-  const res =
-      backend.executeSingleOutput(
-          Conv2DBackpropFilter, opAttrs, [filter, filterSizes, dy]) as Tensor4D;
-  filterSizes.dispose();
-  return res;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2DBackpropInput.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2DBackpropInput.ts
deleted file mode 100644
index 7974044c0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv2DBackpropInput.ts
+++ /dev/null
@@ -1,69 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Conv2DBackpropInput, Conv2DBackpropInputAttrs, Conv2DBackpropInputInputs, KernelConfig, tensor1d, Tensor4D, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const conv2DBackpropInputConfig: KernelConfig = {
-  kernelName: Conv2DBackpropInput,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, filter} = args.inputs as Conv2DBackpropInputInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, pad, dataFormat, dimRoundingMode, inputShape} =
-        args.attrs as {} as Conv2DBackpropInputAttrs;
-
-    const $dataFormat = backend_util.convertConv2DDataFormat(dataFormat);
-    const convInfo = backend_util.computeConv2DInfo(
-        inputShape, filter.shape as [number, number, number, number], strides,
-        1 /* dilations */, pad, dimRoundingMode, false, $dataFormat);
-
-    return conv2DBackpropInputImpl(dy, filter, convInfo, backend);
-  }
-};
-
-function conv2DBackpropInputImpl(
-    dy: TensorInfo, filter: TensorInfo, convInfo: backend_util.Conv2DInfo,
-    backend: NodeJSKernelBackend): Tensor4D {
-  if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-    throw new Error(
-        `TF Backend supports only 'valid' and 'same' padding ` +
-        `while padding was ${convInfo.padInfo.type}`);
-  }
-  const strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-  const padding = convInfo.padInfo.type;
-  const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-  const dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
-  const opAttrs = [
-    createTensorsTypeOpAttr('T', 'float32'),
-    {name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides},
-    {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-      name: 'data_format',
-      type: backend.binding.TF_ATTR_STRING,
-      value: dataFormat
-    },
-    {name: 'use_cudnn_on_gpu', type: backend.binding.TF_ATTR_BOOL, value: true},
-    {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations}
-  ];
-  const inputSizes = tensor1d(convInfo.inShape, 'int32');
-  const res =
-      backend.executeSingleOutput(
-          Conv2DBackpropInput, opAttrs, [inputSizes, filter, dy]) as Tensor4D;
-  inputSizes.dispose();
-  return res;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3D.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3D.ts
deleted file mode 100644
index c89eff980..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3D.ts
+++ /dev/null
@@ -1,62 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Conv3D, Conv3DAttrs, Conv3DInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const conv3DConfig: KernelConfig = {
-  kernelName: Conv3D,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, filter} = args.inputs as Conv3DInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, pad, dilations} = args.attrs as {} as Conv3DAttrs;
-
-    const convInfo = backend_util.computeConv3DInfo(
-        x.shape as [number, number, number, number, number],
-        filter.shape as [number, number, number, number, number], strides,
-        dilations, pad);
-
-    const $strides = [
-      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-    ];
-    const padding = convInfo.padInfo.type;
-    const $dataFormat =
-        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-
-    if (!backend.isGPUPackage && convInfo.dilationDepth > 1) {
-      throw new Error('CPU Dilation depth must be 1');
-    }
-    const $dilations = [
-      1, convInfo.dilationDepth, convInfo.dilationHeight,
-      convInfo.dilationWidth, 1
-    ];
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: $dataFormat
-      },
-      {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: $dilations}
-    ];
-    return backend.executeSingleOutput(Conv3D, opAttrs, [x, filter]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3DBackpropFilterV2.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3DBackpropFilterV2.ts
deleted file mode 100644
index 65fe202f4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3DBackpropFilterV2.ts
+++ /dev/null
@@ -1,67 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Conv3DBackpropFilterV2, Conv3DBackpropFilterV2Attrs, Conv3DBackpropFilterV2Inputs, KernelConfig, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const conv3DBackpropFilterV2Config: KernelConfig = {
-  kernelName: Conv3DBackpropFilterV2,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, dy} = args.inputs as Conv3DBackpropFilterV2Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, pad, filterShape} =
-        args.attrs as {} as Conv3DBackpropFilterV2Attrs;
-
-    const dilations = 1;
-
-    const convInfo = backend_util.computeConv3DInfo(
-        x.shape as [number, number, number, number, number], filterShape,
-        strides, dilations, pad);
-
-    const $strides = [
-      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-    ];
-    const padding = convInfo.padInfo.type;
-    const dataFormat =
-        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-
-    if (!backend.isGPUPackage && convInfo.dilationDepth > 1) {
-      throw new Error('CPU Dilation depth must be 1');
-    }
-    const $dilations = [
-      1, convInfo.dilationDepth, convInfo.dilationHeight,
-      convInfo.dilationWidth, 1
-    ];
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      },
-      {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: $dilations}
-    ];
-    const filterSizes = tensor1d(filterShape, 'int32');
-    const res = backend.executeSingleOutput(
-        Conv3DBackpropFilterV2, opAttrs, [x, filterSizes, dy]);
-    filterSizes.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3DBackpropInputV2.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3DBackpropInputV2.ts
deleted file mode 100644
index a93e5f6d3..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Conv3DBackpropInputV2.ts
+++ /dev/null
@@ -1,67 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Conv3DBackpropInputV2, Conv3DBackpropInputV2Attrs, Conv3DBackpropInputV2Inputs, KernelConfig, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const conv3DBackpropInputV2Config: KernelConfig = {
-  kernelName: Conv3DBackpropInputV2,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, filter} = args.inputs as Conv3DBackpropInputV2Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, pad, inputShape} =
-        args.attrs as {} as Conv3DBackpropInputV2Attrs;
-
-    const dilations = 1;
-
-    const convInfo = backend_util.computeConv3DInfo(
-        inputShape, filter.shape as [number, number, number, number, number],
-        strides, dilations, pad);
-
-    const $strides = [
-      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-    ];
-    const padding = convInfo.padInfo.type;
-    const dataFormat =
-        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-    if (!backend.isGPUPackage && convInfo.dilationDepth > 1) {
-      throw new Error('CPU Dilation depth must be 1');
-    }
-    const $dilations = [
-      1, convInfo.dilationDepth, convInfo.dilationHeight,
-      convInfo.dilationWidth, 1
-    ];
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', dy.dtype),
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      },
-      {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: $dilations},
-      createTensorsTypeOpAttr('Tshape', 'int32')
-    ];
-    const inputSizes = tensor1d(inputShape, 'int32');
-    const res = backend.executeSingleOutput(
-        Conv3DBackpropInputV2, opAttrs, [inputSizes, filter, dy]);
-    inputSizes.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cos.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cos.ts
deleted file mode 100644
index 972830ef5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cos.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Cos, CosInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const cosConfig: KernelConfig = {
-  kernelName: Cos,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as CosInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Cos, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cosh.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cosh.ts
deleted file mode 100644
index 0bcb0a9f7..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cosh.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Cosh, CoshInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const coshConfig: KernelConfig = {
-  kernelName: Cosh,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as CoshInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Cosh, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/CropAndResize.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/CropAndResize.ts
deleted file mode 100644
index dad226f5a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/CropAndResize.ts
+++ /dev/null
@@ -1,45 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {CropAndResize, CropAndResizeAttrs, CropAndResizeInputs, KernelConfig, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const cropAndResizeConfig: KernelConfig = {
-  kernelName: CropAndResize,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {image, boxes, boxInd} = args.inputs as CropAndResizeInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {cropSize, method, extrapolationValue} =
-        args.attrs as {} as CropAndResizeAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', image.dtype),
-      {name: 'method', type: backend.binding.TF_ATTR_STRING, value: method}, {
-        name: 'extrapolation_value',
-        type: backend.binding.TF_ATTR_FLOAT,
-        value: extrapolationValue
-      }
-    ];
-    const cropSizeTensor = tensor1d(cropSize, 'int32');
-    const res = backend.executeSingleOutput(
-        CropAndResize, opAttrs, [image, boxes, boxInd, cropSizeTensor]);
-    cropSizeTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cumsum.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cumsum.ts
deleted file mode 100644
index 57a6344d2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Cumsum.ts
+++ /dev/null
@@ -1,41 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Cumsum, CumsumAttrs, CumsumInputs, KernelConfig, scalar} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const cumsumConfig: KernelConfig = {
-  kernelName: Cumsum,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as CumsumInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, exclusive, reverse} = args.attrs as {} as CumsumAttrs;
-
-    const axisTensor = scalar(axis, 'int32');
-    const opAttrs = [
-      {name: 'exclusive', type: backend.binding.TF_ATTR_BOOL, value: exclusive},
-      {name: 'reverse', type: backend.binding.TF_ATTR_BOOL, value: reverse},
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tidx', 'int32')
-    ];
-    const res = backend.executeSingleOutput(Cumsum, opAttrs, [x, axisTensor]);
-    axisTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthToSpace.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthToSpace.ts
deleted file mode 100644
index cc43eda54..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthToSpace.ts
+++ /dev/null
@@ -1,45 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {DepthToSpace, DepthToSpaceAttrs, DepthToSpaceInputs, KernelConfig, Tensor} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const depthToSpaceConfig: KernelConfig = {
-  kernelName: DepthToSpace,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as DepthToSpaceInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {blockSize, dataFormat} = args.attrs as {} as DepthToSpaceAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x as Tensor), {
-        name: 'block_size',
-        type: backend.binding.TF_ATTR_INT,
-        value: blockSize < 2 ? 2 : blockSize
-      },
-      {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      }
-    ];
-    const inputs = [x];
-    return backend.executeSingleOutput(DepthToSpace, opAttrs, inputs);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNative.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNative.ts
deleted file mode 100644
index 85baf6212..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNative.ts
+++ /dev/null
@@ -1,82 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, DepthwiseConv2dNative, DepthwiseConv2dNativeAttrs, DepthwiseConv2dNativeInputs, KernelConfig, Tensor4D, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const depthwiseConv2dNativeConfig: KernelConfig = {
-  kernelName: DepthwiseConv2dNative,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, filter} = args.inputs as DepthwiseConv2dNativeInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, pad, dilations, dimRoundingMode} =
-        args.attrs as {} as DepthwiseConv2dNativeAttrs;
-
-    let $dilations = dilations;
-    if ($dilations == null) {
-      $dilations = [1, 1];
-    }
-
-    const convInfo = backend_util.computeConv2DInfo(
-        x.shape as [number, number, number, number],
-        filter.shape as [number, number, number, number], strides, $dilations,
-        pad, dimRoundingMode, true /* depthwise */);
-
-    return depthwiseConv2dNativeImpl(x, filter, convInfo, backend);
-  }
-};
-
-export function depthwiseConv2dNativeImpl(
-    input: TensorInfo, filter: TensorInfo, convInfo: backend_util.Conv2DInfo,
-    backend: NodeJSKernelBackend): Tensor4D {
-  if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME' &&
-      convInfo.padInfo.type !== 'EXPLICIT') {
-    throw new Error(
-        `TF Backend supports only 'valid' and 'same' padding ` +
-        `while padding was ${convInfo.padInfo.type}`);
-  }
-  const strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-  const padding = convInfo.padInfo.type;
-  const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-  const dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
-  const opAttrs = [
-    createTensorsTypeOpAttr('T', input.dtype),
-    {name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides},
-    {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-      name: 'data_format',
-      type: backend.binding.TF_ATTR_STRING,
-      value: dataFormat
-    },
-    {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations}
-  ];
-  if (padding === 'EXPLICIT') {
-    const padValue = [
-      convInfo.padInfo.top, convInfo.padInfo.bottom, convInfo.padInfo.left,
-      convInfo.padInfo.right
-    ];
-    opAttrs.push({
-      name: 'explicit_paddings',
-      type: backend.binding.TF_ATTR_INT,
-      value: dataFormat === 'NHWC' ? [0, 0, ...padValue, 0, 0] :
-                                     [0, 0, 0, 0, ...padValue]
-    });
-  }
-  return backend.executeSingleOutput(
-             DepthwiseConv2dNative, opAttrs, [input, filter]) as Tensor4D;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNativeBackpropFilter.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNativeBackpropFilter.ts
deleted file mode 100644
index 7efcd07a4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNativeBackpropFilter.ts
+++ /dev/null
@@ -1,62 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, DepthwiseConv2dNativeBackpropFilter, DepthwiseConv2dNativeBackpropFilterAttrs, DepthwiseConv2dNativeBackpropFilterInputs, KernelConfig, tensor1d, Tensor4D, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const depthwiseConv2dNativeBackpropFilterConfig: KernelConfig = {
-  kernelName: DepthwiseConv2dNativeBackpropFilter,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, dy} = args.inputs as DepthwiseConv2dNativeBackpropFilterInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, dilations, pad, dimRoundingMode, filterShape} =
-        args.attrs as {} as DepthwiseConv2dNativeBackpropFilterAttrs;
-
-    const convInfo = backend_util.computeConv2DInfo(
-        x.shape as [number, number, number, number], filterShape, strides,
-        dilations, pad, dimRoundingMode, true /* depthwise */);
-
-    return depthwiseConv2dNativeBackpropFilterImpl(x, dy, convInfo, backend);
-  }
-};
-
-function depthwiseConv2dNativeBackpropFilterImpl(
-    x: TensorInfo, dy: TensorInfo, convInfo: backend_util.Conv2DInfo,
-    backend: NodeJSKernelBackend): Tensor4D {
-  const strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-  const padding = convInfo.padInfo.type;
-  const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-  const dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
-  const opAttrs = [
-    createTensorsTypeOpAttr('T', 'float32'),
-    {name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides},
-    {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-      name: 'data_format',
-      type: backend.binding.TF_ATTR_STRING,
-      value: dataFormat
-    },
-    {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations}
-  ];
-  const filterSizes = tensor1d(convInfo.filterShape, 'int32');
-  const res = backend.executeSingleOutput(
-                  DepthwiseConv2dNativeBackpropFilter, opAttrs,
-                  [x, filterSizes, dy]) as Tensor4D;
-  filterSizes.dispose();
-  return res;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNativeBackpropInput.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNativeBackpropInput.ts
deleted file mode 100644
index f1f54202a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/DepthwiseConv2dNativeBackpropInput.ts
+++ /dev/null
@@ -1,65 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, DepthwiseConv2dNativeBackpropInput, DepthwiseConv2dNativeBackpropInputAttrs, DepthwiseConv2dNativeBackpropInputInputs, KernelConfig, tensor1d, Tensor4D, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const depthwiseConv2dNativeBackpropInputConfig: KernelConfig = {
-  kernelName: DepthwiseConv2dNativeBackpropInput,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, filter} =
-        args.inputs as DepthwiseConv2dNativeBackpropInputInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {strides, dilations, pad, dimRoundingMode, inputShape} =
-        args.attrs as {} as DepthwiseConv2dNativeBackpropInputAttrs;
-
-    const convInfo = backend_util.computeConv2DInfo(
-        inputShape, filter.shape as [number, number, number, number], strides,
-        dilations, pad, dimRoundingMode, true /* depthwise */);
-
-    return depthwiseConv2dNativeBackpropInputImpl(
-        dy, filter, convInfo, backend);
-  }
-};
-
-function depthwiseConv2dNativeBackpropInputImpl(
-    dy: TensorInfo, filter: TensorInfo, convInfo: backend_util.Conv2DInfo,
-    backend: NodeJSKernelBackend): Tensor4D {
-  const strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-  const padding = convInfo.padInfo.type;
-  const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-  const dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
-  const opAttrs = [
-    createTensorsTypeOpAttr('T', 'float32'),
-    {name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides},
-    {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-      name: 'data_format',
-      type: backend.binding.TF_ATTR_STRING,
-      value: dataFormat
-    },
-    {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations}
-  ];
-
-  const inputSizes = tensor1d(convInfo.inShape, 'int32');
-  const res = backend.executeSingleOutput(
-                  DepthwiseConv2dNativeBackpropInput, opAttrs,
-                  [inputSizes, filter, dy]) as Tensor4D;
-  inputSizes.dispose();
-  return res;
-}
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Diag.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Diag.ts
deleted file mode 100644
index 5462a29e8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Diag.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Diag, DiagInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const diagConfig: KernelConfig = {
-  kernelName: Diag,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as DiagInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Diag, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2D.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2D.ts
deleted file mode 100644
index 609fb7b9c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2D.ts
+++ /dev/null
@@ -1,51 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Dilation2D, Dilation2DAttrs, Dilation2DInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const dilation2dConfig: KernelConfig = {
-  kernelName: Dilation2D,
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend, attrs}) => {
-    const {x, filter} = inputs as Dilation2DInputs;
-    const {strides, pad, dilations} = attrs as {} as Dilation2DAttrs;
-    const {dilationHeight, dilationWidth, padInfo, strideHeight, strideWidth} =
-        backend_util.computeDilation2DInfo(
-            x.shape as [number, number, number, number],
-            filter.shape as [number, number, number], strides, pad,
-            'NHWC' /* dataFormat */, dilations);
-    const $strides = [1, strideHeight, strideWidth, 1];
-    const $dilations = [1, dilationHeight, dilationWidth, 1];
-
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'strides', type: nodeBackend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'rates', type: nodeBackend.binding.TF_ATTR_INT, value: $dilations},
-      {
-        name: 'padding',
-        type: nodeBackend.binding.TF_ATTR_STRING,
-        value: padInfo.type
-      }
-    ];
-
-    return nodeBackend.executeSingleOutput(Dilation2D, opAttrs, [x, filter]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2DBackpropFilter.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2DBackpropFilter.ts
deleted file mode 100644
index 7896e03cc..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2DBackpropFilter.ts
+++ /dev/null
@@ -1,52 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Dilation2DAttrs, Dilation2DBackpropFilter, Dilation2DBackpropFilterInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const dilation2dBackpropFilterConfig: KernelConfig = {
-  kernelName: Dilation2DBackpropFilter,
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend, attrs}) => {
-    const {x, filter, dy} = inputs as Dilation2DBackpropFilterInputs;
-    const {strides, pad, dilations} = attrs as {} as Dilation2DAttrs;
-    const {dilationHeight, dilationWidth, padInfo, strideHeight, strideWidth} =
-        backend_util.computeDilation2DInfo(
-            x.shape as [number, number, number, number],
-            filter.shape as [number, number, number], strides, pad,
-            'NHWC' /* dataFormat */, dilations);
-    const $strides = [1, strideHeight, strideWidth, 1];
-    const $dilations = [1, dilationHeight, dilationWidth, 1];
-
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'strides', type: nodeBackend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'rates', type: nodeBackend.binding.TF_ATTR_INT, value: $dilations},
-      {
-        name: 'padding',
-        type: nodeBackend.binding.TF_ATTR_STRING,
-        value: padInfo.type
-      }
-    ];
-
-    return nodeBackend.executeSingleOutput(
-        Dilation2DBackpropFilter, opAttrs, [x, filter, dy]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2DBackpropInput.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2DBackpropInput.ts
deleted file mode 100644
index 61c931dd6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Dilation2DBackpropInput.ts
+++ /dev/null
@@ -1,52 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Dilation2DAttrs, Dilation2DBackpropInput, Dilation2DBackpropInputInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const dilation2dBackpropInputConfig: KernelConfig = {
-  kernelName: Dilation2DBackpropInput,
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend, attrs}) => {
-    const {x, filter, dy} = inputs as Dilation2DBackpropInputInputs;
-    const {strides, pad, dilations} = attrs as {} as Dilation2DAttrs;
-    const {dilationHeight, dilationWidth, padInfo, strideHeight, strideWidth} =
-        backend_util.computeDilation2DInfo(
-            x.shape as [number, number, number, number],
-            filter.shape as [number, number, number], strides, pad,
-            'NHWC' /* dataFormat */, dilations);
-    const $strides = [1, strideHeight, strideWidth, 1];
-    const $dilations = [1, dilationHeight, dilationWidth, 1];
-
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'strides', type: nodeBackend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'rates', type: nodeBackend.binding.TF_ATTR_INT, value: $dilations},
-      {
-        name: 'padding',
-        type: nodeBackend.binding.TF_ATTR_STRING,
-        value: padInfo.type
-      }
-    ];
-
-    return nodeBackend.executeSingleOutput(
-        Dilation2DBackpropInput, opAttrs, [x, filter, dy]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Elu.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Elu.ts
deleted file mode 100644
index a9b7684e8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Elu.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Elu, EluInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const eluConfig: KernelConfig = {
-  kernelName: Elu,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as EluInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Elu, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/EluGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/EluGrad.ts
deleted file mode 100644
index 93640f9c5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/EluGrad.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {EluGrad, EluGradInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const eluGradConfig: KernelConfig = {
-  kernelName: EluGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, y} = args.inputs as EluGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr('T', y.dtype)];
-    return backend.executeSingleOutput(EluGrad, opAttrs, [dy, y]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Equal.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Equal.ts
deleted file mode 100644
index 1b2d0b5e6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Equal.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Equal, EqualInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const equalConfig: KernelConfig = {
-  kernelName: Equal,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as EqualInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(Equal, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Erf.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Erf.ts
deleted file mode 100644
index 681e90ed7..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Erf.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Erf, ErfInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const erfConfig: KernelConfig = {
-  kernelName: Erf,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ErfInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Erf, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Exp.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Exp.ts
deleted file mode 100644
index ecfd1212d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Exp.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Exp, ExpInputs, KernelConfig, Tensor} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const expConfig: KernelConfig = {
-  kernelName: Exp,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ExpInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const xTensor = x.dtype === 'int32' ? (x as Tensor).toFloat() : x;
-    return backend.executeSingleInput(Exp, xTensor);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ExpandDims.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ExpandDims.ts
deleted file mode 100644
index 51ed2122b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ExpandDims.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {ExpandDims, ExpandDimsAttrs, ExpandDimsInputs, KernelConfig, scalar} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const expandDimsConfig: KernelConfig = {
-  kernelName: ExpandDims,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {input} = args.inputs as ExpandDimsInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {dim} = args.attrs as {} as ExpandDimsAttrs;
-
-    const dimTensor = scalar(dim, 'int32');
-
-    const res = backend.executeSingleOutput(ExpandDims, [], [input, dimTensor]);
-    dimTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Expm1.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Expm1.ts
deleted file mode 100644
index 121c4fd68..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Expm1.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Expm1, Expm1Inputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const expm1Config: KernelConfig = {
-  kernelName: Expm1,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as Expm1Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Expm1, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FFT.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FFT.ts
deleted file mode 100644
index 2c7a77b3f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FFT.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {FFT, FFTInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-// tslint:disable-next-line: variable-name
-export const FFTConfig: KernelConfig = {
-  kernelName: FFT,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {input} = args.inputs as FFTInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr('Tcomplex', input.dtype)];
-    return backend.executeSingleOutput(FFT, opAttrs, [input]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Fill.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Fill.ts
deleted file mode 100644
index fd1a78183..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Fill.ts
+++ /dev/null
@@ -1,60 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Fill, FillAttrs, KernelConfig, scalar, tensor1d} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const fillConfig: KernelConfig = {
-  kernelName: Fill,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const backend = args.backend as NodeJSKernelBackend;
-    const {shape, value} = args.attrs as {} as FillAttrs;
-    let {dtype} = args.attrs as {} as FillAttrs;
-
-    // TODO(cais, nkreeger): Investigate whether backend can be made into
-    // a dtype helper method. The underlying op kernel doesn't accept undefined
-    // or null dtype.
-    if (dtype == null) {
-      if (typeof value === 'number') {
-        dtype = 'float32';
-      } else {
-        dtype = 'string';
-      }
-    }
-    const shapeTensor = tensor1d(shape, 'int32');
-    const valueTensor = scalar(value, dtype);
-    const opAttrs = [
-      {
-        name: 'T',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.getDTypeInteger(dtype)
-      },
-      {
-        name: 'index_type',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.binding.TF_INT32
-      }
-    ];
-    const res =
-        backend.executeSingleOutput(Fill, opAttrs, [shapeTensor, valueTensor]);
-    shapeTensor.dispose();
-    valueTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Floor.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Floor.ts
deleted file mode 100644
index 39616538e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Floor.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Floor, FloorInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const floorConfig: KernelConfig = {
-  kernelName: Floor,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as FloorInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Floor, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FloorDiv.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FloorDiv.ts
deleted file mode 100644
index 3752e2c0f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FloorDiv.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, FloorDiv, FloorDivInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const floorDivConfig: KernelConfig = {
-  kernelName: FloorDiv,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as FloorDivInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(FloorDiv, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedBatchNorm.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedBatchNorm.ts
deleted file mode 100644
index 4e0f0b313..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedBatchNorm.ts
+++ /dev/null
@@ -1,70 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {add, fill, FusedBatchNorm, FusedBatchNormAttrs, FusedBatchNormInputs, KernelConfig, mul, Rank, rsqrt, scalar, sub, Tensor, Tensor4D, tidy} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const fusedBatchNormConfig: KernelConfig = {
-  kernelName: FusedBatchNorm,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, mean, variance} = args.inputs as FusedBatchNormInputs;
-    let {scale, offset} = args.inputs as FusedBatchNormInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {varianceEpsilon} = args.attrs as {} as FusedBatchNormAttrs;
-
-    return tidy(() => {
-      if ((mean as Tensor).rank > 1) {
-        // Fused batch norm doesn't work with high-dim mean/var/scale/offset.
-        let inv = rsqrt(add(variance as Tensor, scalar(varianceEpsilon)));
-        if (scale != null) {
-          inv = mul(inv, scale as Tensor);
-        }
-        const xNorm: Tensor4D = mul(sub(x as Tensor, mean as Tensor), inv);
-        return offset != null ? add(xNorm, offset as Tensor) : xNorm;
-      }
-      const dataFormat = 'NHWC';
-      const depth = x.shape[3];
-      const opAttrs = [
-        createTensorsTypeOpAttr('T', x.dtype),
-        {
-          name: 'epsilon',
-          type: backend.binding.TF_ATTR_FLOAT,
-          value: varianceEpsilon
-        },
-        {
-          name: 'data_format',
-          type: backend.binding.TF_ATTR_STRING,
-          value: dataFormat
-        },
-        {name: 'is_training', type: backend.binding.TF_ATTR_BOOL, value: false},
-      ];
-      const numOutputs = 5;
-
-      if (scale == null) {
-        scale = fill<Rank.R1>([depth], 1);
-      }
-      if (offset == null) {
-        offset = fill<Rank.R1>([depth], 0);
-      }
-      return backend.executeMultipleOutputs(
-          FusedBatchNorm, opAttrs, [x, scale, offset, mean, variance],
-          numOutputs)[0];
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedConv2D.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedConv2D.ts
deleted file mode 100644
index 27b390e79..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedConv2D.ts
+++ /dev/null
@@ -1,65 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {add, backend_util, FusedConv2D, FusedConv2DAttrs, FusedConv2DInputs, KernelConfig, Tensor} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-import {conv2dImpl} from './Conv2D';
-
-export const fusedConv2DConfig: KernelConfig = {
-  kernelName: FusedConv2D,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, filter, bias, preluActivationWeights} =
-        args.inputs as FusedConv2DInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {
-      strides,
-      pad,
-      dataFormat,
-      dilations,
-      dimRoundingMode,
-      activation,
-      leakyreluAlpha
-    } = args.attrs as {} as FusedConv2DAttrs;
-
-    const $dataFormat = backend_util.convertConv2DDataFormat(dataFormat);
-    const convInfo = backend_util.computeConv2DInfo(
-        x.shape as [number, number, number, number],
-        filter.shape as [number, number, number, number], strides, dilations,
-        pad, dimRoundingMode, false /* depthwise */, $dataFormat);
-
-    let result = conv2dImpl(x, filter, convInfo, backend);
-
-    const toDispose = [];
-    if (bias != null) {
-      toDispose.push(result);
-      result = add(result, bias as Tensor);
-    }
-
-    const temp = result;
-    result = backend.applyActivation(
-        result, activation, preluActivationWeights as Tensor, leakyreluAlpha);
-    if (temp !== result) {
-      toDispose.push(temp);
-    }
-
-    toDispose.forEach(t => t.dispose());
-    return result;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedDepthwiseConv2D.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedDepthwiseConv2D.ts
deleted file mode 100644
index d626c6c7f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/FusedDepthwiseConv2D.ts
+++ /dev/null
@@ -1,68 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {add, backend_util, FusedDepthwiseConv2D, FusedDepthwiseConv2DAttrs, FusedDepthwiseConv2DInputs, KernelConfig, Tensor} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-import {depthwiseConv2dNativeImpl} from './DepthwiseConv2dNative';
-
-export const fusedDepthwiseConv2DConfig: KernelConfig = {
-  kernelName: FusedDepthwiseConv2D,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, filter, bias, preluActivationWeights} =
-        args.inputs as FusedDepthwiseConv2DInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {
-      strides,
-      pad,
-      dilations,
-      dimRoundingMode,
-      activation,
-      leakyreluAlpha
-    } = args.attrs as {} as FusedDepthwiseConv2DAttrs;
-
-    let $dilations = dilations;
-    if ($dilations == null) {
-      $dilations = [1, 1];
-    }
-
-    const convInfo = backend_util.computeConv2DInfo(
-        x.shape as [number, number, number, number],
-        filter.shape as [number, number, number, number], strides, $dilations,
-        pad, dimRoundingMode, true /* depthwise */);
-
-    let result = depthwiseConv2dNativeImpl(x, filter, convInfo, backend);
-
-    const toDispose = [];
-    if (bias != null) {
-      toDispose.push(result);
-      result = add(result, bias as Tensor);
-    }
-
-    const temp = result;
-    result = backend.applyActivation(
-        result, activation, preluActivationWeights as Tensor, leakyreluAlpha);
-    if (temp !== result) {
-      toDispose.push(temp);
-    }
-
-    toDispose.forEach(t => t.dispose());
-    return result;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GatherNd.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GatherNd.ts
deleted file mode 100644
index 326b4eaf2..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GatherNd.ts
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {GatherNd, GatherNdInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const gatherNdConfig: KernelConfig = {
-  kernelName: GatherNd,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {params, indices} = args.inputs as GatherNdInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('Tparams', params.dtype),
-      createTensorsTypeOpAttr('Tindices', 'int32')
-    ];
-    return backend.executeSingleOutput(GatherNd, opAttrs, [params, indices]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GatherV2.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GatherV2.ts
deleted file mode 100644
index 7aea08f91..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GatherV2.ts
+++ /dev/null
@@ -1,47 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, GatherV2, GatherV2Attrs, GatherV2Inputs, KernelConfig, scalar, Tensor} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const gatherV2Config: KernelConfig = {
-  kernelName: GatherV2,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, indices} = args.inputs as GatherV2Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, batchDims} = args.attrs as {} as GatherV2Attrs;
-
-    // validate the inputs
-    backend_util.segment_util.collectGatherOpShapeInfo(
-        x as Tensor, indices as Tensor, axis, batchDims);
-
-    const axisTensor = scalar(axis, 'int32');
-    const opAttrs = [
-      {name: 'batch_dims', type: backend.binding.TF_ATTR_INT, value: batchDims},
-      createTensorsTypeOpAttr('Tparams', x.dtype),
-      createTensorsTypeOpAttr('Tindices', indices.dtype),
-      createTensorsTypeOpAttr('Taxis', 'int32')
-    ];
-
-    const res = backend.executeSingleOutput(
-        GatherV2, opAttrs, [x, indices, axisTensor]);
-    axisTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Greater.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Greater.ts
deleted file mode 100644
index 7effb2e23..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Greater.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, Greater, GreaterInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const greaterConfig: KernelConfig = {
-  kernelName: Greater,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as GreaterInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(Greater, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GreaterEqual.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GreaterEqual.ts
deleted file mode 100644
index 7f70d2961..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/GreaterEqual.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, GreaterEqual, GreaterEqualInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const greaterEqualConfig: KernelConfig = {
-  kernelName: GreaterEqual,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as GreaterEqualInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(GreaterEqual, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IFFT.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IFFT.ts
deleted file mode 100644
index 6ca476d9f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IFFT.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {IFFT, IFFTInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-// tslint:disable-next-line: variable-name
-export const IFFTConfig: KernelConfig = {
-  kernelName: IFFT,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {input} = args.inputs as IFFTInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr('Tcomplex', input.dtype)];
-    return backend.executeSingleOutput(IFFT, opAttrs, [input]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Identity.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Identity.ts
deleted file mode 100644
index 0e55493a5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Identity.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Identity, IdentityInputs, KernelConfig} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const identityConfig: KernelConfig = {
-  kernelName: Identity,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as IdentityInputs;
-    // Backend needs to track refCount for the dataId for identity op
-    (args.backend as NodeJSKernelBackend).incRef(x.dataId);
-    return {dataId: x.dataId, shape: x.shape, dtype: x.dtype};
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Imag.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Imag.ts
deleted file mode 100644
index 99b2e6b9a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Imag.ts
+++ /dev/null
@@ -1,44 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {Imag, ImagInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const imagConfig: KernelConfig = {
-  kernelName: Imag,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {input} = args.inputs as ImagInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      {
-        name: 'T',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.binding.TF_COMPLEX64
-      },
-      {
-        name: 'Tout',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.binding.TF_FLOAT
-      }
-    ];
-    const inputs = [input];
-    return backend.executeSingleOutput(Imag, opAttrs, inputs);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsFinite.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsFinite.ts
deleted file mode 100644
index 522a0ea62..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsFinite.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {IsFinite, IsFiniteInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const isFiniteConfig: KernelConfig = {
-  kernelName: IsFinite,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as IsFiniteInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(IsFinite, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsInf.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsInf.ts
deleted file mode 100644
index 4b1eead48..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsInf.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {IsInf, IsInfInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const isInfConfig: KernelConfig = {
-  kernelName: IsInf,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as IsInfInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(IsInf, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsNan.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsNan.ts
deleted file mode 100644
index 36a9c339f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/IsNan.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {IsNan, IsNanInputs, KernelConfig} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const isNanConfig: KernelConfig = {
-  kernelName: IsNan,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as IsNanInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(IsNan, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LRN.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LRN.ts
deleted file mode 100644
index b460004db..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LRN.ts
+++ /dev/null
@@ -1,44 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, LRN, LRNAttrs, LRNInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-// tslint:disable-next-line: variable-name
-export const LRNConfig: KernelConfig = {
-  kernelName: LRN,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as LRNInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {depthRadius, bias, alpha, beta} = args.attrs as {} as LRNAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {
-        name: 'depth_radius',
-        type: backend.binding.TF_ATTR_INT,
-        value: depthRadius
-      },
-      {name: 'bias', type: backend.binding.TF_ATTR_FLOAT, value: bias},
-      {name: 'alpha', type: backend.binding.TF_ATTR_FLOAT, value: alpha},
-      {name: 'beta', type: backend.binding.TF_ATTR_FLOAT, value: beta},
-    ];
-    return backend.executeSingleOutput(LRN, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LRNGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LRNGrad.ts
deleted file mode 100644
index cb5950b3b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LRNGrad.ts
+++ /dev/null
@@ -1,44 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, LRNGrad, LRNGradAttrs, LRNGradInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-// tslint:disable-next-line: variable-name
-export const LRNGradConfig: KernelConfig = {
-  kernelName: LRNGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x, y, dy} = args.inputs as LRNGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {depthRadius, bias, alpha, beta} = args.attrs as {} as LRNGradAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', dy.dtype),
-      {
-        name: 'depth_radius',
-        type: backend.binding.TF_ATTR_INT,
-        value: depthRadius
-      },
-      {name: 'bias', type: backend.binding.TF_ATTR_FLOAT, value: bias},
-      {name: 'alpha', type: backend.binding.TF_ATTR_FLOAT, value: alpha},
-      {name: 'beta', type: backend.binding.TF_ATTR_FLOAT, value: beta},
-    ];
-    return backend.executeSingleOutput(LRNGrad, opAttrs, [dy, x, y]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LeakyRelu.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LeakyRelu.ts
deleted file mode 100644
index 7b43b7181..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LeakyRelu.ts
+++ /dev/null
@@ -1,38 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, LeakyRelu, LeakyReluAttrs, LeakyReluInputs, Tensor} from '@tensorflow/tfjs';
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const leakyReluConfig: KernelConfig = {
-  kernelName: LeakyRelu,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const inputs = args.inputs as LeakyReluInputs;
-    const attrs = args.attrs as {} as LeakyReluAttrs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const x = inputs.x as Tensor;
-    const alpha = attrs.alpha;
-
-    const opAttrs = [
-      {name: 'alpha', type: backend.binding.TF_ATTR_FLOAT, value: alpha},
-      createTensorsTypeOpAttr('T', x.dtype)
-    ];
-
-    return backend.executeSingleOutput(LeakyRelu, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Less.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Less.ts
deleted file mode 100644
index 9d45a6a7e..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Less.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, Less, LessInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const lessConfig: KernelConfig = {
-  kernelName: Less,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as LessInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(Less, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LessEqual.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LessEqual.ts
deleted file mode 100644
index 01d24faac..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LessEqual.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, LessEqual, LessEqualInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const lessEqualConfig: KernelConfig = {
-  kernelName: LessEqual,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as LessEqualInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(LessEqual, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LinSpace.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LinSpace.ts
deleted file mode 100644
index 768122cfd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LinSpace.ts
+++ /dev/null
@@ -1,41 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, LinSpace, LinSpaceAttrs, scalar, tidy} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const linSpaceConfig: KernelConfig = {
-  kernelName: LinSpace,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const backend = args.backend as NodeJSKernelBackend;
-    const {start, stop, num} = args.attrs as {} as LinSpaceAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', 'float32'),
-      createTensorsTypeOpAttr('Tidx', 'int32')
-    ];
-
-    return tidy(() => {
-      const inputs = [
-        scalar(start, 'float32'), scalar(stop, 'float32'), scalar(num, 'int32')
-      ];
-      return backend.executeSingleOutput(LinSpace, opAttrs, inputs);
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Log.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Log.ts
deleted file mode 100644
index 9d2db8c59..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Log.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Log, LogInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const logConfig: KernelConfig = {
-  kernelName: Log,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as LogInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Log, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Log1p.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Log1p.ts
deleted file mode 100644
index ae49842dd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Log1p.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Log1p, Log1pInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const log1pConfig: KernelConfig = {
-  kernelName: Log1p,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as Log1pInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Log1p, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalAnd.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalAnd.ts
deleted file mode 100644
index 9c9ab427d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalAnd.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, LogicalAnd, LogicalAndInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const logicalAndConfig: KernelConfig = {
-  kernelName: LogicalAnd,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as LogicalAndInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleOutput(LogicalAnd, [], [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalNot.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalNot.ts
deleted file mode 100644
index 4d78164a7..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalNot.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, LogicalNot, LogicalNotInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const logicalNotConfig: KernelConfig = {
-  kernelName: LogicalNot,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as LogicalNotInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleOutput(LogicalNot, [], [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalOr.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalOr.ts
deleted file mode 100644
index 2da97e04c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/LogicalOr.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, LogicalOr, LogicalOrInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const logicalOrConfig: KernelConfig = {
-  kernelName: LogicalOr,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as LogicalOrInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleOutput(LogicalOr, [], [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Max.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Max.ts
deleted file mode 100644
index c8fe5c017..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Max.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Max, MaxAttrs, MaxInputs, tensor1d, util} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const maxConfig: KernelConfig = {
-  kernelName: Max,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as MaxInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {reductionIndices, keepDims} = args.attrs as {} as MaxAttrs;
-
-    const axes = util.parseAxisParam(reductionIndices, x.shape);
-    const axesTensor = tensor1d(axes, 'int32');
-    const res = backend.executeSingleOutput(
-        Max, backend.createReductionOpAttrs(x, keepDims), [x, axesTensor]);
-    axesTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool.ts
deleted file mode 100644
index 2ff7da19a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool.ts
+++ /dev/null
@@ -1,56 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, MaxPool, MaxPoolAttrs, MaxPoolInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const maxPoolConfig: KernelConfig = {
-  kernelName: MaxPool,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as MaxPoolInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad, dimRoundingMode} =
-        args.attrs as {} as MaxPoolAttrs;
-
-    const convInfo = backend_util.computePool2DInfo(
-        x.shape as [number, number, number, number], filterSize, strides,
-        1 /* dilations */, pad, dimRoundingMode);
-
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
-    const $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-    const padding = convInfo.padInfo.type;
-    const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      }
-    ];
-    return backend.executeSingleOutput(MaxPool, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool3D.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool3D.ts
deleted file mode 100644
index b5d4c46f0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool3D.ts
+++ /dev/null
@@ -1,60 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, MaxPool3D, MaxPool3DAttrs, MaxPool3DInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const maxPool3DConfig: KernelConfig = {
-  kernelName: MaxPool3D,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as MaxPool3DInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad, dataFormat, dimRoundingMode} =
-        args.attrs as {} as MaxPool3DAttrs;
-
-    const convInfo = backend_util.computePool3DInfo(
-        x.shape as [number, number, number, number, number], filterSize,
-        strides, 1 /* dilations */, pad, dimRoundingMode, dataFormat);
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [
-      1, convInfo.filterDepth, convInfo.filterHeight, convInfo.filterWidth, 1
-    ];
-    const $strides = [
-      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-    ];
-    const padding = convInfo.padInfo.type;
-    const $dataFormat =
-        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: $dataFormat
-      }
-    ];
-    return backend.executeSingleOutput(MaxPool3D, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool3DGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool3DGrad.ts
deleted file mode 100644
index 71d60fcec..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPool3DGrad.ts
+++ /dev/null
@@ -1,63 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, MaxPool3DGrad, MaxPool3DGradAttrs, MaxPool3DGradInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const maxPool3DGradConfig: KernelConfig = {
-  kernelName: MaxPool3DGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, input, output} = args.inputs as MaxPool3DGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad, dimRoundingMode} =
-        args.attrs as {} as MaxPool3DGradAttrs;
-
-    const convInfo = backend_util.computePool3DInfo(
-        input.shape as [number, number, number, number, number], filterSize,
-        strides, 1 /* dilations */, pad, dimRoundingMode);
-
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding type was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [
-      1, convInfo.filterDepth, convInfo.filterHeight, convInfo.filterWidth, 1
-    ];
-    const $strides = [
-      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
-    ];
-    const padding = convInfo.padInfo.type;
-    const dataFormat =
-        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', input.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
-      {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      },
-    ];
-    return backend.executeSingleOutput(
-        MaxPool3DGrad, opAttrs, [input, output, dy]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPoolGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPoolGrad.ts
deleted file mode 100644
index 2d3193382..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MaxPoolGrad.ts
+++ /dev/null
@@ -1,58 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, MaxPoolGrad, MaxPoolGradAttrs, MaxPoolGradInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const maxPoolGradConfig: KernelConfig = {
-  kernelName: MaxPoolGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {dy, input, output} = args.inputs as MaxPoolGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {filterSize, strides, pad, dimRoundingMode} =
-        args.attrs as {} as MaxPoolGradAttrs;
-
-    const convInfo = backend_util.computePool2DInfo(
-        input.shape as [number, number, number, number], filterSize, strides,
-        1 /* dilations */, pad, dimRoundingMode);
-
-    if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
-      throw new Error(
-          `TF Backend supports only 'valid' and 'same' padding ` +
-          `while padding type was ${convInfo.padInfo.type}`);
-    }
-    const ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
-    const $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
-    const padding = convInfo.padInfo.type;
-    const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', input.dtype),
-      {name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize},
-      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
-      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
-      {
-        name: 'data_format',
-        type: backend.binding.TF_ATTR_STRING,
-        value: dataFormat
-      },
-    ];
-    return backend.executeSingleOutput(
-        MaxPoolGrad, opAttrs, [input, output, dy]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Maximum.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Maximum.ts
deleted file mode 100644
index 94b06e65c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Maximum.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, Maximum, MaximumInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const maximumConfig: KernelConfig = {
-  kernelName: Maximum,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as MaximumInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(Maximum, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Mean.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Mean.ts
deleted file mode 100644
index 63062cd16..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Mean.ts
+++ /dev/null
@@ -1,42 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {cast, KernelConfig, Mean, MeanAttrs, MeanInputs, Tensor, tensor1d, util} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const meanConfig: KernelConfig = {
-  kernelName: Mean,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as MeanInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, keepDims} = args.attrs as {} as MeanAttrs;
-    const axes = util.parseAxisParam(axis, x.shape);
-    const axesTensor = tensor1d(axes, 'int32');
-
-    // Cast to float32 to match existing tfjs implementation/tests.
-    const asFloat32 = cast(x as Tensor, 'float32');
-    const res = backend.executeSingleOutput(
-        Mean, backend.createReductionOpAttrs(x, keepDims),
-        [asFloat32, axesTensor]);
-
-    asFloat32.dispose();
-    axesTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Min.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Min.ts
deleted file mode 100644
index cc35bf477..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Min.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Min, MinAttrs, MinInputs, tensor1d, util} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const minConfig: KernelConfig = {
-  kernelName: Min,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as MinInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, keepDims} = args.attrs as {} as MinAttrs;
-    const axes = util.parseAxisParam(axis, x.shape);
-    const axesTensor = tensor1d(axes, 'int32');
-    const res = backend.executeSingleOutput(
-        Min, backend.createReductionOpAttrs(x, keepDims), [x, axesTensor]);
-    axesTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Minimum.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Minimum.ts
deleted file mode 100644
index 8b6805a54..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Minimum.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, Minimum, MinimumInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const minimumConfig: KernelConfig = {
-  kernelName: Minimum,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as MinimumInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(Minimum, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MirrorPad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MirrorPad.ts
deleted file mode 100644
index e72667ac0..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/MirrorPad.ts
+++ /dev/null
@@ -1,49 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, MirrorPad, MirrorPadAttrs, MirrorPadInputs, tensor2d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const mirrorPadConfig: KernelConfig = {
-  kernelName: MirrorPad,
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend, attrs}) => {
-    const {x} = inputs as MirrorPadInputs;
-    const {paddings, mode} = attrs as {} as MirrorPadAttrs;
-
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    const paddingsTensor = tensor2d(paddings, [paddings.length, 2], 'int32');
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tpaddings', paddingsTensor.dtype), {
-        name: 'mode',
-        type: nodeBackend.binding.TF_ATTR_STRING,
-        value: mode.toUpperCase()
-      }
-    ];
-
-    const output = nodeBackend.executeSingleOutput(
-        'MirrorPad', opAttrs, [x, paddingsTensor]);
-
-    paddingsTensor.dispose();
-
-    return output;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Mod.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Mod.ts
deleted file mode 100644
index 5999d5bc6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Mod.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Mod, ModInputs} from '@tensorflow/tfjs';
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const modConfig: KernelConfig = {
-  kernelName: Mod,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as ModInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr('T', a.dtype)];
-    return backend.executeSingleOutput('FloorMod', opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Multinomial.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Multinomial.ts
deleted file mode 100644
index 1f0540054..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Multinomial.ts
+++ /dev/null
@@ -1,47 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Multinomial, MultinomialAttrs, MultinomialInputs, scalar} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const multinomialConfig: KernelConfig = {
-  kernelName: Multinomial,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {logits} = args.inputs as MultinomialInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {numSamples, seed, normalized} = args.attrs as {} as MultinomialAttrs;
-
-    if (normalized) {
-      throw new Error(
-          'TF Node backend does not support normalized logits ' +
-          'passed to multinomial');
-    }
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', logits.dtype),
-      createTensorsTypeOpAttr('output_dtype', 'int32'),
-      {name: 'seed', type: backend.binding.TF_ATTR_INT, value: seed},
-      {name: 'seed2', type: backend.binding.TF_ATTR_INT, value: seed * seed},
-    ];
-    const numSamplesTensor = scalar(numSamples, 'int32');
-    const res = backend.executeSingleOutput(
-        Multinomial, opAttrs, [logits, numSamplesTensor]);
-    numSamplesTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Multiply.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Multiply.ts
deleted file mode 100644
index 2252e30a5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Multiply.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, Multiply, MultiplyInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const multiplyConfig: KernelConfig = {
-  kernelName: Multiply,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as MultiplyInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput('Mul', opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Neg.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Neg.ts
deleted file mode 100644
index 83736ed6a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Neg.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Neg, NegInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const negConfig: KernelConfig = {
-  kernelName: Neg,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as NegInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Neg, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV3.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV3.ts
deleted file mode 100644
index e97dc1c94..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV3.ts
+++ /dev/null
@@ -1,45 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, NonMaxSuppressionV3, NonMaxSuppressionV3Attrs, NonMaxSuppressionV3Inputs, scalar} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const nonMaxSuppressionV3Config: KernelConfig = {
-  kernelName: NonMaxSuppressionV3,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {boxes, scores} = args.inputs as NonMaxSuppressionV3Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {maxOutputSize, iouThreshold, scoreThreshold} =
-        args.attrs as {} as NonMaxSuppressionV3Attrs;
-
-    const opAttrs = [createTensorsTypeOpAttr('T', boxes.dtype)];
-
-    const maxOutputSizeTensor = scalar(maxOutputSize, 'int32');
-    const iouThresholdTensor = scalar(iouThreshold);
-    const scoreThresholdTensor = scalar(scoreThreshold);
-    const res = backend.executeSingleOutput(NonMaxSuppressionV3, opAttrs, [
-      boxes, scores, maxOutputSizeTensor, iouThresholdTensor,
-      scoreThresholdTensor
-    ]);
-    maxOutputSizeTensor.dispose();
-    iouThresholdTensor.dispose();
-    scoreThresholdTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV4.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV4.ts
deleted file mode 100644
index e98e15f1c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV4.ts
+++ /dev/null
@@ -1,59 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, NonMaxSuppressionV4, NonMaxSuppressionV4Attrs, NonMaxSuppressionV4Inputs, scalar, Tensor1D, Tensor2D} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-// TODO(nsthorat, dsmilkov): Remove dependency on tensors, use dataId.
-export const nonMaxSuppressionV4Config: KernelConfig = {
-  kernelName: NonMaxSuppressionV4,
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend, attrs}) => {
-    const {boxes, scores} = inputs as NonMaxSuppressionV4Inputs;
-    const {maxOutputSize, iouThreshold, scoreThreshold, padToMaxOutputSize} =
-        attrs as {} as NonMaxSuppressionV4Attrs;
-    const maxOutputSizeTensor = scalar(maxOutputSize, 'int32');
-    const iouThresholdTensor = scalar(iouThreshold, 'float32');
-    const scoreThresholdTensor = scalar(scoreThreshold, 'float32');
-
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', boxes.dtype),
-      createTensorsTypeOpAttr('T_threshold', 'float32'), {
-        name: 'pad_to_max_output_size',
-        type: nodeBackend.binding.TF_ATTR_BOOL,
-        value: padToMaxOutputSize
-      }
-    ];
-
-    const [selectedIndices, validOutputs] = nodeBackend.executeMultipleOutputs(
-        'NonMaxSuppressionV4', opAttrs,
-        [
-          boxes as Tensor2D, scores as Tensor1D, maxOutputSizeTensor,
-          iouThresholdTensor, scoreThresholdTensor
-        ],
-        2);
-
-    maxOutputSizeTensor.dispose();
-    iouThresholdTensor.dispose();
-    scoreThresholdTensor.dispose();
-
-    return [selectedIndices, validOutputs];
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV5.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV5.ts
deleted file mode 100644
index 51cd0a6df..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NonMaxSuppressionV5.ts
+++ /dev/null
@@ -1,67 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, NamedAttrMap, NamedTensorInfoMap, scalar, Tensor1D, Tensor2D, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-interface NonMaxSuppressionWithScoreInputs extends NamedTensorInfoMap {
-  boxes: TensorInfo;
-  scores: TensorInfo;
-}
-
-interface NonMaxSuppressionWithScoreAttrs extends NamedAttrMap {
-  maxOutputSize: number;
-  iouThreshold: number;
-  scoreThreshold: number;
-  softNmsSigma: number;
-}
-
-// TODO(nsthorat, dsmilkov): Remove dependency on tensors, use dataId.
-export const nonMaxSuppressionV5Config: KernelConfig = {
-  kernelName: 'NonMaxSuppressionV5',
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend, attrs}) => {
-    const {boxes, scores} = inputs as NonMaxSuppressionWithScoreInputs;
-    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =
-        attrs as NonMaxSuppressionWithScoreAttrs;
-    const maxOutputSizeTensor = scalar(maxOutputSize, 'int32');
-    const iouThresholdTensor = scalar(iouThreshold);
-    const scoreThresholdTensor = scalar(scoreThreshold);
-    const softNmsSigmaTensor = scalar(softNmsSigma);
-    const opAttrs = [createTensorsTypeOpAttr('T', boxes.dtype)];
-
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    const [selectedIndices, selectedScores, validOutputs] =
-        nodeBackend.executeMultipleOutputs(
-            'NonMaxSuppressionV5', opAttrs,
-            [
-              boxes as Tensor2D, scores as Tensor1D, maxOutputSizeTensor,
-              iouThresholdTensor, scoreThresholdTensor, softNmsSigmaTensor
-            ],
-            3);
-
-    maxOutputSizeTensor.dispose();
-    iouThresholdTensor.dispose();
-    scoreThresholdTensor.dispose();
-    softNmsSigmaTensor.dispose();
-    validOutputs.dispose();
-
-    return [selectedIndices, selectedScores];
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NotEqual.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NotEqual.ts
deleted file mode 100644
index 174a125f8..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/NotEqual.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, NotEqual, NotEqualInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const notEqualConfig: KernelConfig = {
-  kernelName: NotEqual,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as NotEqualInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(NotEqual, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/OneHot.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/OneHot.ts
deleted file mode 100644
index 331f4e64a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/OneHot.ts
+++ /dev/null
@@ -1,47 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, OneHot, OneHotAttrs, OneHotInputs, scalar} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const oneHotConfig: KernelConfig = {
-  kernelName: OneHot,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {indices} = args.inputs as OneHotInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {depth, onValue, offValue} = args.attrs as {} as OneHotAttrs;
-
-    const depthTensor = scalar(depth, 'int32');
-    const onValueTensor = scalar(onValue, 'int32');
-    const offValueTensor = scalar(offValue, 'int32');
-
-    const opAttrs = [
-      {name: 'axis', type: backend.binding.TF_ATTR_INT, value: -1},
-      createTensorsTypeOpAttr('T', indices.dtype),
-      createTensorsTypeOpAttr('TI', indices.dtype)
-    ];
-
-    const res = backend.executeSingleOutput(
-        OneHot, opAttrs, [indices, depthTensor, onValueTensor, offValueTensor]);
-    depthTensor.dispose();
-    onValueTensor.dispose();
-    offValueTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/OnesLike.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/OnesLike.ts
deleted file mode 100644
index 3e71f3f67..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/OnesLike.ts
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, OnesLike, OnesLikeInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const onesLikeConfig: KernelConfig = {
-  kernelName: OnesLike,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as OnesLikeInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [{
-      name: 'T',
-      type: backend.binding.TF_ATTR_TYPE,
-      value: backend.getDTypeInteger(x.dtype)
-    }];
-    return backend.executeSingleOutput(OnesLike, opAttrs, [x]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Pack.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Pack.ts
deleted file mode 100644
index 0e39cd21b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Pack.ts
+++ /dev/null
@@ -1,41 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, KernelFunc, Pack, PackAttrs, PackInputs, Tensor, TensorInfo} from '@tensorflow/tfjs';
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export function pack(
-    args: {inputs: PackInputs, backend: NodeJSKernelBackend, attrs: PackAttrs}):
-    TensorInfo {
-  const {inputs, backend, attrs} = args;
-  const {axis} = attrs;
-
-  const opAttrs = [
-    {name: 'N', type: backend.binding.TF_ATTR_INT, value: inputs.length},
-    createTensorsTypeOpAttr('T', inputs as Tensor[]),
-    {name: 'axis', type: backend.binding.TF_ATTR_INT, value: axis}
-  ];
-
-  const res = backend.executeSingleOutput(Pack, opAttrs, inputs);
-  return res;
-}
-
-export const packConfig: KernelConfig = {
-  kernelName: Pack,
-  backendName: 'tensorflow',
-  kernelFunc: pack as {} as KernelFunc
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/PadV2.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/PadV2.ts
deleted file mode 100644
index b2580065b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/PadV2.ts
+++ /dev/null
@@ -1,47 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, PadV2, PadV2Attrs, PadV2Inputs, scalar, tensor2d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const padV2Config: KernelConfig = {
-  kernelName: PadV2,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as PadV2Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {paddings, constantValue} = args.attrs as {} as PadV2Attrs;
-
-    // Bind tensor values
-    const paddingsTensor = tensor2d(paddings, [paddings.length, 2], 'int32');
-    const constantTensor = scalar(constantValue, x.dtype);
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tpaddings', paddingsTensor.dtype)
-    ];
-
-    const res = backend.executeSingleOutput(
-        PadV2, opAttrs, [x, paddingsTensor, constantTensor]);
-
-    paddingsTensor.dispose();
-    constantTensor.dispose();
-
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Pow.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Pow.ts
deleted file mode 100644
index aca2c005b..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Pow.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, cast, KernelConfig, Pow, PowInputs, Tensor, tidy} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const powConfig: KernelConfig = {
-  kernelName: Pow,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as PowInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const dtype = backend_util.upcastType(a.dtype, b.dtype);
-    const opAttrs = [createTensorsTypeOpAttr('T', dtype)];
-    return tidy(() => {
-      return backend.executeSingleOutput(
-          Pow, opAttrs, [cast(a as Tensor, dtype), cast(b as Tensor, dtype)]);
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Prelu.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Prelu.ts
deleted file mode 100644
index 84cd1c03d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Prelu.ts
+++ /dev/null
@@ -1,34 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {abs, KernelConfig, Prelu, PreluInputs, relu, Tensor, tidy} from '@tensorflow/tfjs';
-
-export const preluConfig: KernelConfig = {
-  kernelName: Prelu,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const inputs = args.inputs as PreluInputs;
-    const x = inputs.x as Tensor;
-    const alpha = inputs.alpha as Tensor;
-
-    return tidy(() => {
-      const pos = relu(x);
-      const neg = alpha.mul(x.sub(abs(x))).mul(0.5);
-      return pos.add(neg);
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Prod.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Prod.ts
deleted file mode 100644
index c7851e163..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Prod.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Prod, ProdAttrs, ProdInputs, tensor1d, util} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const prodConfig: KernelConfig = {
-  kernelName: Prod,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ProdInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, keepDims} = args.attrs as {} as ProdAttrs;
-    const axes = util.parseAxisParam(axis, x.shape);
-    const axesTensor = tensor1d(axes, 'int32');
-    const opAttrs = [
-      {name: 'keep_dims', type: backend.binding.TF_ATTR_BOOL, value: keepDims},
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tidx', 'int32')
-    ];
-    const res = backend.executeSingleOutput(Prod, opAttrs, [x, axesTensor]);
-    axesTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Range.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Range.ts
deleted file mode 100644
index 39a5a1754..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Range.ts
+++ /dev/null
@@ -1,61 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Range, RangeAttrs, scalar, zeros} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const rangeConfig: KernelConfig = {
-  kernelName: Range,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const backend = args.backend as NodeJSKernelBackend;
-    const {start, stop, dtype} = args.attrs as {} as RangeAttrs;
-    let {step} = args.attrs as {} as RangeAttrs;
-
-    // TensorFlow.js specific allowances
-    const sameStartStop = start === stop;
-    const increasingRangeNegativeStep = start < stop && step < 0;
-    const decreasingRangePositiveStep = stop < start && step > 1;
-
-    if (sameStartStop || increasingRangeNegativeStep ||
-        decreasingRangePositiveStep) {
-      return zeros([0], dtype);
-    }
-
-    if (stop < start && step === 1) {
-      // Auto adjust the step's sign if it hasn't been set
-      // (or was set to 1)
-      step = -1;
-    }
-
-    const opAttrs = [createTensorsTypeOpAttr('Tidx', dtype)];
-    const startTensor = scalar(start);
-    const stopTensor = scalar(stop);
-    const stepTensor = scalar(step);
-    const res = backend.executeSingleOutput(
-        Range, opAttrs, [startTensor, stopTensor, stepTensor]);
-    const castedRes = res.cast(dtype);
-
-    startTensor.dispose();
-    stopTensor.dispose();
-    stepTensor.dispose();
-    res.dispose();
-
-    return castedRes;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Real.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Real.ts
deleted file mode 100644
index a4064923f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Real.ts
+++ /dev/null
@@ -1,38 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Real, RealInputs, Tensor} from '@tensorflow/tfjs';
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const realConfig: KernelConfig = {
-  kernelName: Real,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {input} = args.inputs as RealInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', input as Tensor), {
-        name: 'Tout',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.binding.TF_FLOAT
-      }
-    ];
-    const inputs = [input];
-    return backend.executeSingleOutput(Real, opAttrs, inputs);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/RealDiv.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/RealDiv.ts
deleted file mode 100644
index 872747ec9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/RealDiv.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, RealDiv, RealDivInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const realDivConfig: KernelConfig = {
-  kernelName: RealDiv,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as RealDivInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(RealDiv, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reciprocal.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reciprocal.ts
deleted file mode 100644
index 76ab5c3d1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reciprocal.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Reciprocal, ReciprocalInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const reciprocalConfig: KernelConfig = {
-  kernelName: Reciprocal,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ReciprocalInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Reciprocal, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Relu.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Relu.ts
deleted file mode 100644
index 170a56a48..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Relu.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Relu, ReluInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const reluConfig: KernelConfig = {
-  kernelName: Relu,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ReluInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Relu, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Relu6.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Relu6.ts
deleted file mode 100644
index db266545d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Relu6.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Relu6, Relu6Inputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const relu6Config: KernelConfig = {
-  kernelName: Relu6,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as Relu6Inputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Relu6, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reshape.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reshape.ts
deleted file mode 100644
index a19d15879..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reshape.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Reshape, ReshapeAttrs, ReshapeInputs, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const reshapeConfig: KernelConfig = {
-  kernelName: Reshape,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ReshapeInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {shape} = args.attrs as {} as ReshapeAttrs;
-
-    const shapeTensor = tensor1d(shape, 'int32');
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tshape', shapeTensor.dtype)
-    ];
-    const res = backend.executeSingleOutput(Reshape, opAttrs, [x, shapeTensor]);
-    shapeTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeBilinear.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeBilinear.ts
deleted file mode 100644
index 9d9a9eda5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeBilinear.ts
+++ /dev/null
@@ -1,51 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, ResizeBilinear, ResizeBilinearAttrs, ResizeBilinearInputs, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const resizeBilinearConfig: KernelConfig = {
-  kernelName: ResizeBilinear,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {images} = args.inputs as ResizeBilinearInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {alignCorners, halfPixelCenters, size} =
-        args.attrs as {} as ResizeBilinearAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', images.dtype),
-      {
-        name: 'align_corners',
-        type: backend.binding.TF_ATTR_BOOL,
-        value: alignCorners
-      },
-      {
-        name: 'half_pixel_centers',
-        type: backend.binding.TF_ATTR_BOOL,
-        value: halfPixelCenters
-      },
-    ];
-    const [newHeight, newWidth] = size;
-    const sizeTensor = tensor1d([newHeight, newWidth], 'int32');
-    const ret = backend.executeSingleOutput(
-        ResizeBilinear, opAttrs, [images, sizeTensor]);
-    sizeTensor.dispose();
-    return ret;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeBilinearGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeBilinearGrad.ts
deleted file mode 100644
index 10bc8b05a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeBilinearGrad.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, ResizeBilinearGrad, ResizeBilinearGradAttrs, ResizeBilinearGradInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const resizeBilinearGradConfig: KernelConfig = {
-  kernelName: ResizeBilinearGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {images, dy} = args.inputs as ResizeBilinearGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {alignCorners} = args.attrs as {} as ResizeBilinearGradAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', images.dtype), {
-        name: 'align_corners',
-        type: backend.binding.TF_ATTR_BOOL,
-        value: alignCorners
-      }
-    ];
-    return backend.executeSingleOutput(
-        ResizeBilinearGrad, opAttrs, [dy, images]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeNearestNeighbor.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeNearestNeighbor.ts
deleted file mode 100644
index a7d1786e5..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeNearestNeighbor.ts
+++ /dev/null
@@ -1,51 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, ResizeNearestNeighbor, ResizeNearestNeighborAttrs, ResizeNearestNeighborInputs, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const resizeNearestNeighborConfig: KernelConfig = {
-  kernelName: ResizeNearestNeighbor,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {images} = args.inputs as ResizeNearestNeighborInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {alignCorners, halfPixelCenters, size} =
-        args.attrs as {} as ResizeNearestNeighborAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', images.dtype),
-      {
-        name: 'align_corners',
-        type: backend.binding.TF_ATTR_BOOL,
-        value: alignCorners
-      },
-      {
-        name: 'half_pixel_centers',
-        type: backend.binding.TF_ATTR_BOOL,
-        value: halfPixelCenters
-      },
-    ];
-    const [newHeight, newWidth] = size;
-    const sizeTensor = tensor1d([newHeight, newWidth], 'int32');
-    const res = backend.executeSingleOutput(
-        ResizeNearestNeighbor, opAttrs, [images, sizeTensor]);
-    sizeTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeNearestNeighborGrad.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeNearestNeighborGrad.ts
deleted file mode 100644
index 43bc13c15..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ResizeNearestNeighborGrad.ts
+++ /dev/null
@@ -1,44 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, ResizeNearestNeighborGrad, ResizeNearestNeighborGradAttrs, ResizeNearestNeighborGradInputs, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const resizeNearestNeighborGradConfig: KernelConfig = {
-  kernelName: ResizeNearestNeighborGrad,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {images, dy} = args.inputs as ResizeNearestNeighborGradInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {alignCorners} = args.attrs as {} as ResizeNearestNeighborGradAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', images.dtype), {
-        name: 'align_corners',
-        type: backend.binding.TF_ATTR_BOOL,
-        value: alignCorners
-      }
-    ];
-    const [, origHeight, origWidth, ] = images.shape;
-    const sizeTensor = tensor1d([origHeight, origWidth], 'int32');
-    const res = backend.executeSingleOutput(
-        ResizeNearestNeighborGrad, opAttrs, [dy, sizeTensor]);
-    sizeTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reverse.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reverse.ts
deleted file mode 100644
index 2513c3cbc..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Reverse.ts
+++ /dev/null
@@ -1,42 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Reverse, ReverseAttrs, ReverseInputs, tensor1d, util} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const reverseConfig: KernelConfig = {
-  kernelName: Reverse,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as ReverseInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {dims} = args.attrs as {} as ReverseAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('Tidx', 'int32'),
-      createTensorsTypeOpAttr('T', x.dtype)
-    ];
-
-    const axes = util.parseAxisParam(dims, x.shape);
-    const axisTensor = tensor1d(axes, 'int32');
-    const res =
-        backend.executeSingleOutput('ReverseV2', opAttrs, [x, axisTensor]);
-    axisTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Round.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Round.ts
deleted file mode 100644
index bc8a0634d..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Round.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Round, RoundInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const roundConfig: KernelConfig = {
-  kernelName: Round,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as RoundInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Round, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Rsqrt.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Rsqrt.ts
deleted file mode 100644
index 92f16f8d1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Rsqrt.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Rsqrt, RsqrtInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const rsqrtConfig: KernelConfig = {
-  kernelName: Rsqrt,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as RsqrtInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Rsqrt, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ScatterNd.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ScatterNd.ts
deleted file mode 100644
index 3eff751f9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/ScatterNd.ts
+++ /dev/null
@@ -1,42 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, ScatterNd, ScatterNdAttrs, ScatterNdInputs, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const scatterNdConfig: KernelConfig = {
-  kernelName: ScatterNd,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {indices, updates} = args.inputs as ScatterNdInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {shape} = args.attrs as {} as ScatterNdAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', updates.dtype),
-      createTensorsTypeOpAttr('Tindices', 'int32')
-    ];
-    const shapeTensor = tensor1d(shape, 'int32');
-    const ret = backend.executeSingleOutput(
-        ScatterNd, opAttrs, [indices, updates, shapeTensor]);
-
-    shapeTensor.dispose();
-
-    return ret;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Select.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Select.ts
deleted file mode 100644
index 72854e066..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Select.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, Select, SelectInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const selectConfig: KernelConfig = {
-  kernelName: Select,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {condition, t, e} = args.inputs as SelectInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(t.dtype, e.dtype))];
-    return backend.executeSingleOutput(Select, opAttrs, [condition, t, e]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Selu.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Selu.ts
deleted file mode 100644
index 5e04a1f33..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Selu.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Selu, SeluInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const seluConfig: KernelConfig = {
-  kernelName: Selu,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SeluInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Selu, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sigmoid.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sigmoid.ts
deleted file mode 100644
index 9d637b340..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sigmoid.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Sigmoid, SigmoidInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const sigmoidConfig: KernelConfig = {
-  kernelName: Sigmoid,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SigmoidInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Sigmoid, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sign.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sign.ts
deleted file mode 100644
index 0e99f3997..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sign.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Sign, SignInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const signConfig: KernelConfig = {
-  kernelName: Sign,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SignInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Sign, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sin.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sin.ts
deleted file mode 100644
index 9fcf1ec2a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sin.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Sin, SinInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const sinConfig: KernelConfig = {
-  kernelName: Sin,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SinInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Sin, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sinh.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sinh.ts
deleted file mode 100644
index 7c1386241..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sinh.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Sinh, SinhInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const sinhConfig: KernelConfig = {
-  kernelName: Sinh,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SinhInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Sinh, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Slice.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Slice.ts
deleted file mode 100644
index 6060a90f1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Slice.ts
+++ /dev/null
@@ -1,48 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, Slice, SliceAttrs, SliceInputs, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const sliceConfig: KernelConfig = {
-  kernelName: Slice,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SliceInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {begin, size} = args.attrs as {} as SliceAttrs;
-
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Index', 'int32')
-    ];
-
-    // Bind tensor values
-    const [begin_, size_] =
-        backend_util.slice_util.parseSliceParams(x, begin, size);
-    const beginTensor = tensor1d(begin_, 'int32');
-    const sizeTensor = tensor1d(size_, 'int32');
-
-    const res = backend.executeSingleOutput(
-        Slice, opAttrs, [x, beginTensor, sizeTensor]);
-    beginTensor.dispose();
-    sizeTensor.dispose();
-
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Softmax.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Softmax.ts
deleted file mode 100644
index 594da3bfd..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Softmax.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, NamedTensorInfoMap, TensorInfo} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-interface SoftmaxInputs extends NamedTensorInfoMap {
-  logits: TensorInfo;
-}
-
-export const softmaxConfig: KernelConfig = {
-  kernelName: 'Softmax',
-  backendName: 'tensorflow',
-  kernelFunc: ({inputs, backend}) => {
-    const {logits} = inputs as SoftmaxInputs;
-    const opAttrs = [createTensorsTypeOpAttr('T', logits.dtype)];
-
-    const nodeBackend = backend as NodeJSKernelBackend;
-
-    return nodeBackend.executeSingleOutput('Softmax', opAttrs, [logits]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Softplus.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Softplus.ts
deleted file mode 100644
index 75110850f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Softplus.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Softplus, SoftplusInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const softplusConfig: KernelConfig = {
-  kernelName: Softplus,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SoftplusInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Softplus, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SpaceToBatchND.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SpaceToBatchND.ts
deleted file mode 100644
index 0e5a8499c..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SpaceToBatchND.ts
+++ /dev/null
@@ -1,46 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, SpaceToBatchND, SpaceToBatchNDAttrs, SpaceToBatchNDInputs, tensor1d, tensor2d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const spaceToBatchNDConfig: KernelConfig = {
-  kernelName: SpaceToBatchND,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SpaceToBatchNDInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {blockShape, paddings} = args.attrs as {} as SpaceToBatchNDAttrs;
-
-    const blockShapeTensor = tensor1d(blockShape, 'int32');
-    const paddingsTensor =
-        tensor2d(paddings, [paddings.length, paddings[0].length], 'int32');
-    const opAttrs = [
-      createTensorsTypeOpAttr('T', x.dtype),
-      createTensorsTypeOpAttr('Tblock_shape', 'int32'),
-      createTensorsTypeOpAttr('Tpaddings', paddingsTensor.dtype)
-    ];
-    const res = backend.executeSingleOutput(
-        SpaceToBatchND, opAttrs, [x, blockShapeTensor, paddingsTensor]);
-
-    blockShapeTensor.dispose();
-    paddingsTensor.dispose();
-
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SparseToDense.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SparseToDense.ts
deleted file mode 100644
index df5a6b89a..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SparseToDense.ts
+++ /dev/null
@@ -1,47 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, SparseToDense, SparseToDenseAttrs, SparseToDenseInputs, tensor1d} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const sparseToDenseConfig: KernelConfig = {
-  kernelName: SparseToDense,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {sparseIndices, sparseValues, defaultValue} =
-        args.inputs as SparseToDenseInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {outputShape} = args.attrs as {} as SparseToDenseAttrs;
-
-    const opAttrs = [
-      {
-        name: 'validate_indices',
-        type: backend.binding.TF_ATTR_BOOL,
-        value: true
-      },
-      createTensorsTypeOpAttr('T', sparseValues.dtype),
-      createTensorsTypeOpAttr('Tindices', sparseIndices.dtype)
-    ];
-    const outputShapeTensor = tensor1d(outputShape, 'int32');
-    const res = backend.executeSingleOutput(
-        SparseToDense, opAttrs,
-        [sparseIndices, outputShapeTensor, sparseValues, defaultValue]);
-    outputShapeTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SplitV.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SplitV.ts
deleted file mode 100644
index a330e84d4..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SplitV.ts
+++ /dev/null
@@ -1,53 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, scalar, SplitV, SplitVAttrs, SplitVInputs, Tensor, tensor1d, tidy, util} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const splitVConfig: KernelConfig = {
-  kernelName: SplitV,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SplitVInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {numOrSizeSplits, axis} = args.attrs as {} as SplitVAttrs;
-
-    const $axis = util.parseAxisParam(axis, x.shape)[0];
-    const splitSizes = backend_util.prepareSplitSize(x, numOrSizeSplits, $axis);
-
-    const opAttrs = [
-      {
-        name: 'num_split',
-        type: backend.binding.TF_ATTR_INT,
-        value: splitSizes.length
-      },
-      createTensorsTypeOpAttr('T', x as Tensor), {
-        name: 'Tlen',
-        type: backend.binding.TF_ATTR_TYPE,
-        value: backend.binding.TF_INT32
-      }
-    ];
-    const inputs = [x];
-    return tidy(() => {
-      inputs.push(tensor1d(splitSizes, 'int32'));
-      inputs.push(scalar($axis, 'int32'));
-      return backend.executeMultipleOutputs(
-          SplitV, opAttrs, inputs, splitSizes.length);
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sqrt.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sqrt.ts
deleted file mode 100644
index 066660511..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sqrt.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Sqrt, SqrtInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const sqrtConfig: KernelConfig = {
-  kernelName: Sqrt,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SqrtInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Sqrt, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Square.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Square.ts
deleted file mode 100644
index 84524c7b1..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Square.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Square, SquareInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const squareConfig: KernelConfig = {
-  kernelName: Square,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SquareInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Square, x);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SquaredDifference.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SquaredDifference.ts
deleted file mode 100644
index 9b5e1ed4f..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/SquaredDifference.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, SquaredDifference, SquaredDifferenceInputs} from '@tensorflow/tfjs';
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const squaredDifferenceConfig: KernelConfig = {
-  kernelName: SquaredDifference,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as SquaredDifferenceInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr('T', a.dtype)];
-    return backend.executeSingleOutput(SquaredDifference, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Step.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Step.ts
deleted file mode 100644
index e898fff81..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Step.ts
+++ /dev/null
@@ -1,43 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, fill, greater, isNaN as tfIsNan, KernelConfig, ones, scalar, Step, StepAttrs, StepInputs, Tensor, tidy, where} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const stepConfig: KernelConfig = {
-  kernelName: Step,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as StepInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {alpha} = args.attrs as {} as StepAttrs;
-
-    const dtype = x.dtype;
-    return tidy(() => {
-      const nans = tfIsNan(x as Tensor);
-      const stepNoNans = where(
-          greater(x as Tensor, scalar(0, dtype)), ones(x.shape),
-          fill(x.shape, alpha, dtype));
-
-      const opAttrs = [createTensorsTypeOpAttr(
-          'T', backend_util.upcastType(x.dtype, stepNoNans.dtype))];
-      return backend.executeSingleOutput(
-          'Select', opAttrs, [nans, x, stepNoNans]);
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/StridedSlice.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/StridedSlice.ts
deleted file mode 100644
index 7838e42c6..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/StridedSlice.ts
+++ /dev/null
@@ -1,125 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, reshape, slice, StridedSlice, StridedSliceAttrs, StridedSliceInputs, Tensor, tensor1d, tidy} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const stridedSliceConfig: KernelConfig = {
-  kernelName: StridedSlice,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    let {x} = args.inputs as StridedSliceInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {beginMask, endMask, ellipsisMask, newAxisMask, shrinkAxisMask} =
-        args.attrs as {} as StridedSliceAttrs;
-
-    let {begin, end, strides} = args.attrs as {} as StridedSliceAttrs;
-    // make a copy because it may be modified in-place further down.
-    begin = begin.slice();
-    end = end.slice();
-    if (strides == null) {
-      strides = new Array(begin.length);
-    }
-
-    const ellipsisAxes = backend_util.slice_util.maskToAxes(ellipsisMask);
-    if (ellipsisAxes.length > 1) {
-      throw new Error('Multiple ellipses in slice is not allowed.');
-    }
-
-    if (ellipsisMask !== 0 && newAxisMask !== 0) {
-      throw new Error(
-          'Using both ellipsisMask and newAxisMask is not yet supported.');
-    }
-
-    if (ellipsisMask !== 0 && shrinkAxisMask !== 0) {
-      throw new Error(
-          'Using both ellipsisMask and shrinkAxisMask is not yet supported.');
-    }
-
-    return tidy(() => {
-      const numInterpolatedAxes = (x as Tensor).rank - begin.length;
-
-      // Expand the dims of x based on the newAxisMask.
-      const expandAxes = backend_util.slice_util.maskToAxes(newAxisMask);
-      const newShape = x.shape.slice();
-      expandAxes.forEach(axis => {
-        begin[axis] = 0;
-        end[axis] = 1;
-        newShape.splice(axis, 0, 1);
-      });
-      x = reshape(x as Tensor, newShape);
-
-      const {
-        begin: normalizedBegin,
-        end: normalizedEnd,
-        strides: normalizedStrides
-      } =
-          backend_util.slice_util.getNormalizedAxes(
-              x.shape, ellipsisAxes, numInterpolatedAxes, begin, end, strides,
-              beginMask, endMask, ellipsisMask);
-      begin = normalizedBegin;
-      end = normalizedEnd;
-      strides = normalizedStrides;
-
-      const shrinkAxes = backend_util.slice_util.maskToAxes(shrinkAxisMask);
-      // Adjust the ends based on the shrink mask.
-      shrinkAxes.forEach(axis => {
-        end[axis] = begin[axis] + 1;
-        strides[axis] = 1;
-      });
-
-      // Figure out the output shape.
-      const size = backend_util.slice_util.computeOutShape(begin, end, strides);
-      // Remove the axes based on shrinkMask.
-      const outShape =
-          size.filter((_, axis) => shrinkAxes.indexOf(axis) === -1);
-
-      const nonStrided = strides.every(v => v === 1);
-      if (nonStrided) {
-        return reshape(slice(x as Tensor, begin, size), outShape);
-      }
-
-      const beginTensor = tensor1d(begin, 'int32');
-      for (let axis = 0; axis < end.length; axis++) {
-        // Unlike Numpy, when the strides are negative, TF C uses -n-1 instead
-        // of -1 as the "end" in order to include the first element.
-        if (strides[axis] < 0 && end[axis] === -1) {
-          end[axis] -= x.shape[axis];
-        }
-      }
-      const endTensor = tensor1d(end, 'int32');
-      const stridesTensor = tensor1d(strides, 'int32');
-
-      // Because tfjs allows begin, end and strides to be of different lengths
-      // It has custom code (see above to handle the masking), so we do not
-      // pass the mask info to the tensorflow backend.
-      const opAttrs = [
-        createTensorsTypeOpAttr('T', x.dtype),
-        createTensorsTypeOpAttr('Index', 'int32'),
-        {name: 'begin_mask', type: backend.binding.TF_ATTR_INT, value: 0},
-        {name: 'end_mask', type: backend.binding.TF_ATTR_INT, value: 0},
-        {name: 'ellipsis_mask', type: backend.binding.TF_ATTR_INT, value: 0},
-        {name: 'new_axis_mask', type: backend.binding.TF_ATTR_INT, value: 0},
-        {name: 'shrink_axis_mask', type: backend.binding.TF_ATTR_INT, value: 0}
-      ];
-      const res = backend.executeSingleOutput(
-          StridedSlice, opAttrs, [x, beginTensor, endTensor, stridesTensor]);
-      return reshape(res, outShape);
-    });
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sub.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sub.ts
deleted file mode 100644
index 976b23f44..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sub.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {backend_util, KernelConfig, Sub, SubInputs} from '@tensorflow/tfjs';
-
-import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const subConfig: KernelConfig = {
-  kernelName: Sub,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {a, b} = args.inputs as SubInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    const opAttrs = [createTensorsTypeOpAttr(
-        'T', backend_util.upcastType(a.dtype, b.dtype))];
-    return backend.executeSingleOutput(Sub, opAttrs, [a, b]);
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sum.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sum.ts
deleted file mode 100644
index 0ca67e835..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Sum.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Sum, SumAttrs, SumInputs, tensor1d, util} from '@tensorflow/tfjs';
-
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const sumConfig: KernelConfig = {
-  kernelName: Sum,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as SumInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-    const {axis, keepDims} = args.attrs as {} as SumAttrs;
-    const axes = util.parseAxisParam(axis, x.shape);
-    const axisTensor = tensor1d(axes, 'int32');
-    const res = backend.executeSingleOutput(
-        Sum, backend.createReductionOpAttrs(x, keepDims), [x, axisTensor]);
-    axisTensor.dispose();
-    return res;
-  }
-};
diff --git a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Tan.ts b/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Tan.ts
deleted file mode 100644
index 88e7542d9..000000000
--- a/Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-node/src/kernels/Tan.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-
-import {KernelConfig, Tan, TanInputs} from '@tensorflow/tfjs';
-import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
-
-export const tanConfig: KernelConfig = {
-  kernelName: Tan,
-  backendName: 'tensorflow',
-  kernelFunc: (args) => {
-    const {x} = args.inputs as TanInputs;
-    const backend = args.backend as NodeJSKernelBackend;
-
-    return backend.executeSingleInput(Tan, x);
-  }
-};