Remove more node_module deps

2021-05-25 10:48:22 -05:00
1 parent 831437c1aa
commit 2fca1d5e74
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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];
-        });
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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 };
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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);
-        });
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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);
-    }
-};
@@ -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;
@@ -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;
-    }
-};
@@ -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;
@@ -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];
-    }
-};
@@ -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;
@@ -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];
-    }
-};
@@ -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;
@@ -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]);
-    }
-};
@@ -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;
@@ -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;
-    }
-};