Revert "Tensorflow Source"

This reverts commit a58bf292a9.

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/.nycrc

@@ -1,19 +0,0 @@
-{
-    "extension": [
-      ".ts"
-    ],
-    "reporter": [
-      "html",
-      "text-summary"
-    ],
-    "include": [
-      "src/**/*"
-    ],
-    "exclude": [
-      "src/run_tests.ts",
-      "src/**/*_test.ts"
-    ],
-    "cache": false,
-    "sourceMap": true,
-    "instrument": true
-}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/BUILD.bazel

@@ -1,77 +0,0 @@
-# Copyright 2021 Google LLC. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# =============================================================================
-
-load("@build_bazel_rules_nodejs//:index.bzl", "js_library")
-load("@npm//@bazel/typescript:index.bzl", "ts_project")
-load("//:esbuild.bzl", "esbuild")
-
-package(default_visibility = ["//visibility:public"])
-
-ts_project(
-    name = "tfjs-backend-cpu_lib",
-    srcs = glob(["src/**/*.ts"]),
-    declaration = True,
-    extends = "//:tsconfig.json",
-    incremental = True,
-    out_dir = "dist",
-    root_dir = "src",
-    source_map = True,
-    tsconfig = "tsconfig.json",
-    deps = [
-        "//tfjs-core",
-        "@npm//@types/jasmine",
-        "@npm//jasmine",
-    ],
-)
-
-esbuild(
-    name = "tf-backend-cpu.min",
-    entry_point = "dist/index.ts",
-    external = [
-        "node-fetch",
-        "util",
-    ],
-    minify = True,
-    sources_content = True,
-    deps = [
-        ":tfjs-backend-cpu_lib",
-    ],
-)
-
-esbuild(
-    name = "tf-backend-cpu.node",
-    entry_point = "dist/index.ts",
-    external = [
-        "node-fetch",
-        "util",
-    ],
-    sources_content = True,
-    deps = [
-        ":tfjs-backend-cpu_lib",
-    ],
-)
-
-js_library(
-    name = "tfjs-backend-cpu",
-    package_name = "@tensorflow/tfjs-backend-cpu",
-    srcs = [
-        "package.json",
-    ],
-    deps = [
-        ":tf-backend-cpu.min",
-        ":tf-backend-cpu.node",
-        ":tfjs-backend-cpu_lib",
-    ],
-)

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/backend_cpu.d.ts

@@ -1,6 +1,6 @@
 /**
  * @license
- * Copyright 2021 Google LLC. All Rights Reserved.
+ * Copyright 2017 Google LLC. All Rights Reserved.
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
  * You may obtain a copy of the License at
@@ -30,8 +30,6 @@ export declare class MathBackendCPU extends KernelBackend {
     blockSize: number;
     data: DataStorage<TensorData<DataType>>;
     private firstUse;
-    private static nextDataId;
-    private nextDataId;
     constructor();
     write(values: backend_util.BackendValues, shape: number[], dtype: DataType): DataId;
     /**
@@ -41,26 +39,17 @@ export declare class MathBackendCPU extends KernelBackend {
      * @param values The value of the `TensorInfo` stored as a flattened array.
      */
     makeTensorInfo(shape: number[], dtype: DataType, values?: backend_util.BackendValues | string[]): TensorInfo;
-    /** Return refCount of a `TensorData`. */
-    refCount(dataId: DataId): number;
     /** Increase refCount of a `TensorData`. */
     incRef(dataId: DataId): void;
     /** Decrease refCount of a `TensorData`. */
     decRef(dataId: DataId): void;
-    move(dataId: DataId, values: backend_util.BackendValues, shape: number[], dtype: DataType, refCount: number): void;
+    move(dataId: DataId, values: backend_util.BackendValues, shape: number[], dtype: DataType): void;
     numDataIds(): number;
     read(dataId: DataId): Promise<backend_util.BackendValues>;
     readSync(dataId: DataId): backend_util.BackendValues;
     bufferSync<R extends Rank>(t: TensorInfo): TensorBuffer<R>;
     makeOutput<T extends Tensor>(values: backend_util.BackendValues, shape: number[], dtype: DataType): T;
-    /**
-     * Dispose the memory if the dataId has 0 refCount. Return true if the memory
-     * is released or memory is not managed in this backend, false if memory is
-     * not cleared.
-     * @param dataId
-     * @oaram force Optional, remove the data regardless of refCount
-     */
-    disposeData(dataId: DataId, force?: boolean): boolean;
+    disposeData(dataId: DataId): void;
     disposeIntermediateTensorInfo(tensorInfo: TensorInfo): void;
     time(f: () => void): Promise<BackendTimingInfo>;
     memory(): {

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/backend_cpu.js

@@ -1,6 +1,6 @@
 /**
  * @license
- * Copyright 2021 Google LLC. All Rights Reserved.
+ * Copyright 2017 Google LLC. All Rights Reserved.
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
  * You may obtain a copy of the License at
@@ -24,9 +24,6 @@ export class MathBackendCPU extends KernelBackend {
         this.firstUse = true;
         this.data = new DataStorage(this, engine());
     }
-    nextDataId() {
-        return MathBackendCPU.nextDataId++;
-    }
     write(values, shape, dtype) {
         if (this.firstUse) {
             this.firstUse = false;
@@ -43,7 +40,7 @@ export class MathBackendCPU extends KernelBackend {
                     '\n============================');
             }
         }
-        const dataId = { id: this.nextDataId() };
+        const dataId = {};
         this.data.set(dataId, { values, dtype, refCount: 1 });
         return dataId;
     }
@@ -65,14 +62,6 @@ export class MathBackendCPU extends KernelBackend {
         }
         return { dataId: outId, shape, dtype };
     }
-    /** Return refCount of a `TensorData`. */
-    refCount(dataId) {
-        if (this.data.has(dataId)) {
-            const tensorData = this.data.get(dataId);
-            return tensorData.refCount;
-        }
-        return 0;
-    }
     /** Increase refCount of a `TensorData`. */
     incRef(dataId) {
         const tensorData = this.data.get(dataId);
@@ -85,8 +74,8 @@ export class MathBackendCPU extends KernelBackend {
             tensorData.refCount--;
         }
     }
-    move(dataId, values, shape, dtype, refCount) {
-        this.data.set(dataId, { values, dtype, refCount });
+    move(dataId, values, shape, dtype) {
+        this.data.set(dataId, { values, dtype, refCount: 1 });
     }
     numDataIds() {
         return this.data.numDataIds();
@@ -121,30 +110,25 @@ export class MathBackendCPU extends KernelBackend {
         const dataId = this.write(values, shape, dtype);
         return engine().makeTensorFromDataId(dataId, shape, dtype, this);
     }
-    /**
-     * Dispose the memory if the dataId has 0 refCount. Return true if the memory
-     * is released or memory is not managed in this backend, false if memory is
-     * not cleared.
-     * @param dataId
-     * @oaram force Optional, remove the data regardless of refCount
-     */
-    disposeData(dataId, force = false) {
+    disposeData(dataId) {
         if (this.data.has(dataId)) {
-            this.data.get(dataId).refCount--;
-            if (!force && this.data.get(dataId).refCount > 0) {
-                return false;
-            }
             const { complexTensorInfos } = this.data.get(dataId);
             if (complexTensorInfos != null) {
-                this.disposeData(complexTensorInfos.real.dataId, true);
-                this.disposeData(complexTensorInfos.imag.dataId, true);
+                this.disposeData(complexTensorInfos.real.dataId);
+                this.disposeData(complexTensorInfos.imag.dataId);
             }
             this.data.delete(dataId);
         }
-        return true;
     }
     disposeIntermediateTensorInfo(tensorInfo) {
-        this.disposeData(tensorInfo.dataId);
+        const dataId = tensorInfo.dataId;
+        if (this.data.has(dataId)) {
+            const tensorData = this.data.get(dataId);
+            tensorData.refCount--;
+            if (tensorData.refCount < 1) {
+                this.disposeData(dataId);
+            }
+        }
     }
     async time(f) {
         const start = util.now();
@@ -174,5 +158,4 @@ export class MathBackendCPU extends KernelBackend {
         return super.epsilon();
     }
 }
-MathBackendCPU.nextDataId = 0;
 //# sourceMappingURL=backend_cpu.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/backend_cpu.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/base.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/cpu_util.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/index.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Abs.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acos.js.map

@@ -1 +1 @@
-{"version":3,"file":"Acos.js","sourceRoot":"","sources":["../../src/kernels/Acos.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Acos, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const acos = unaryKernelFunc(Acos, (xi) => Math.acos(xi));\n\nexport const acosConfig: KernelConfig = {\n  kernelName: Acos,\n  backendName: 'cpu',\n  kernelFunc: acos,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acosh.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Add.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AddN.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/All.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {All, AllAttrs, AllInputs, backend_util, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\nimport {reshape} from './Reshape';\nimport {transpose} from './Transpose';\n\nexport function all(\n    args: {inputs: AllInputs, backend: MathBackendCPU, attrs: AllAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {axis, keepDims} = attrs;\n\n  assertNotComplex(x, 'all');\n\n  const origAxes = util.parseAxisParam(axis, x.shape);\n  let axes = origAxes;\n  const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);\n  let $x = x;\n  if (permutedAxes != null) {\n    $x = transpose({inputs: {x}, backend, attrs: {perm: permutedAxes}});\n    axes = backend_util.getInnerMostAxes(axes.length, x.shape.length);\n  }\n\n  backend_util.assertAxesAreInnerMostDims('all', axes, $x.shape.length);\n  const [outShape, reduceShape] =\n      backend_util.computeOutAndReduceShapes($x.shape, axes);\n  const reduceSize = util.sizeFromShape(reduceShape);\n  const vals = util.makeZerosTypedArray(util.sizeFromShape(outShape), $x.dtype);\n\n  const aVals = backend.data.get($x.dataId).values as TypedArray;\n  for (let i = 0; i < vals.length; ++i) {\n    const offset = i * reduceSize;\n    let all = aVals[offset];\n    for (let j = 0; j < reduceSize; ++j) {\n      const value = aVals[offset + j];\n      all = all && value;\n    }\n    vals[i] = all;\n  }\n\n  if (permutedAxes != null) {\n    backend.disposeIntermediateTensorInfo($x);\n  }\n\n  const result = backend.makeTensorInfo(outShape, $x.dtype, vals);\n\n  if (keepDims) {\n    const expandedShape = backend_util.expandShapeToKeepDim(outShape, origAxes);\n    const reshapedRLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Any.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Any, AnyAttrs, AnyInputs, backend_util, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\nimport {reshape} from './Reshape';\nimport {transpose} from './Transpose';\n\nexport function any(\n    args: {inputs: AnyInputs, backend: MathBackendCPU, attrs: AnyAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {axis, keepDims} = attrs;\n\n  assertNotComplex(x, 'any');\n\n  const origAxes = util.parseAxisParam(axis, x.shape);\n  let axes = origAxes;\n  const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);\n  let $x = x;\n  if (permutedAxes != null) {\n    $x = transpose({inputs: {x}, backend, attrs: {perm: permutedAxes}});\n    axes = backend_util.getInnerMostAxes(axes.length, x.shape.length);\n  }\n\n  backend_util.assertAxesAreInnerMostDims('any', axes, $x.shape.length);\n  const [outShape, reduceShape] =\n      backend_util.computeOutAndReduceShapes($x.shape, axes);\n  const reduceSize = util.sizeFromShape(reduceShape);\n  const vals = util.makeZerosTypedArray(util.sizeFromShape(outShape), $x.dtype);\n\n  const aVals = backend.data.get($x.dataId).values as TypedArray;\n  for (let i = 0; i < vals.length; ++i) {\n    const offset = i * reduceSize;\n    let anyVal = aVals[offset];\n    for (let j = 0; j < reduceSize; ++j) {\n      const value = aVals[offset + j];\n      anyVal = anyVal || value;\n    }\n    vals[i] = anyVal;\n  }\n\n  if (permutedAxes != null) {\n    backend.disposeIntermediateTensorInfo($x);\n  }\n\n  const result = backend.makeTensorInfo(outShape, $x.dtype, vals);\n\n  if (keepDims) {\n    const expandedShape = backend_util.expandShapeToKeepDim(outShape, origAxes);\n    coLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMax.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ArgMax, ArgMaxAttrs, ArgMaxInputs, backend_util, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\nimport {transpose} from './Transpose';\n\nexport function argMax(\n    args: {inputs: ArgMaxInputs, backend: MathBackendCPU, attrs: ArgMaxAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {axis} = attrs;\n\n  assertNotComplex(x, 'argMax');\n\n  let axes = util.parseAxisParam(axis, x.shape);\n  const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);\n  let $x = x;\n  const intermediateTensorInfos = [];\n  if (permutedAxes != null) {\n    $x = transpose({inputs: {x}, backend, attrs: {perm: permutedAxes}});\n    intermediateTensorInfos.push($x);\n    axes = backend_util.getInnerMostAxes(axes.length, $x.shape.length);\n  }\n\n  axes = [axes[0]];\n  backend_util.assertAxesAreInnerMostDims('argMax', axes, $x.shape.length);\n  const [outShape, reduceShape] =\n      backend_util.computeOutAndReduceShapes($x.shape, axes);\n\n  const outSize = util.sizeFromShape(outShape);\n  const vals = util.makeZerosTypedArray(outSize, 'int32');\n  const reduceSize = util.sizeFromShape(reduceShape);\n\n  const aVals = backend.data.get($x.dataId).values as TypedArray;\n  for (let i = 0; i < vals.length; ++i) {\n    const offset = i * reduceSize;\n    let max = aVals[offset];\n    let maxIndex = 0;\n    for (let j = 0; j < reduceSize; ++j) {\n      const value = aVals[offset + j];\n      if (value > max) {\n        max = value;\n        maxIndex = j;\n      }\n    }\n    vals[i] = maxIndex;\n  }\n\n  intermediateTensorInfos.forEach(\n      t => backend.disposeIntermediateTensorInfo(t));\n\n  return backend.makeTensorInfo(outShape, 'int32', vals);\n}\n\nexport const argMaxConfig: KernelConfig = {\n  kernelName: ArgMax,\n  backendName: 'cpu',\n  kernelFunc: argMax as {} as KernelLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMin.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ArgMin, ArgMinAttrs, ArgMinInputs, backend_util, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\nimport {transpose} from './Transpose';\n\nexport function argMin(\n    args: {inputs: ArgMinInputs, backend: MathBackendCPU, attrs: ArgMinAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {axis} = attrs;\n\n  assertNotComplex(x, 'argMin');\n\n  let axes = util.parseAxisParam(axis, x.shape);\n  const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);\n  let $x = x;\n  const intermediateTensorInfos = [];\n  if (permutedAxes != null) {\n    $x = transpose({inputs: {x}, backend, attrs: {perm: permutedAxes}});\n    intermediateTensorInfos.push($x);\n    axes = backend_util.getInnerMostAxes(axes.length, $x.shape.length);\n  }\n\n  axes = [axes[0]];\n  backend_util.assertAxesAreInnerMostDims('argMin', axes, $x.shape.length);\n  const [outShape, reduceShape] =\n      backend_util.computeOutAndReduceShapes($x.shape, axes);\n\n  const outSize = util.sizeFromShape(outShape);\n  const vals = util.makeZerosTypedArray(outSize, 'int32');\n  const reduceSize = util.sizeFromShape(reduceShape);\n\n  const aVals = backend.data.get($x.dataId).values as TypedArray;\n  for (let i = 0; i < vals.length; ++i) {\n    const offset = i * reduceSize;\n    let min = aVals[offset];\n    let minIndex = 0;\n    for (let j = 0; j < reduceSize; ++j) {\n      const value = aVals[offset + j];\n      if (value < min) {\n        min = value;\n        minIndex = j;\n      }\n    }\n    vals[i] = minIndex;\n  }\n\n  intermediateTensorInfos.forEach(\n      t => backend.disposeIntermediateTensorInfo(t));\n\n  return backend.makeTensorInfo(outShape, 'int32', vals);\n}\n\nexport const argMinConfig: KernelConfig = {\n  kernelName: ArgMin,\n  backendName: 'cpu',\n  kernelFunc: argMin as {} as KernelLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asin.js.map

@@ -1 +1 @@
-{"version":3,"file":"Asin.js","sourceRoot":"","sources":["../../src/kernels/Asin.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Asin, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const asin = unaryKernelFunc(Asin, (xi) => Math.asin(xi));\n\nexport const asinConfig: KernelConfig = {\n  kernelName: Asin,\n  backendName: 'cpu',\n  kernelFunc: asin,\n};\n"]}
+{"version":3,"file":"Asin.js","sourceRoot":"","sources":["../../src/kernels/Asin.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asinh.js.map

@@ -1 +1 @@
-{"version":3,"file":"Asinh.js","sourceRoot":"","sources":["../../src/kernels/Asinh.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,KAAK,GAAG,eAAe,CAAC,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AAEpE,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Asinh, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const asinh = unaryKernelFunc(Asinh, (xi) => Math.asinh(xi));\n\nexport const asinhConfig: KernelConfig = {\n  kernelName: Asinh,\n  backendName: 'cpu',\n  kernelFunc: asinh,\n};\n"]}
+{"version":3,"file":"Asinh.js","sourceRoot":"","sources":["../../src/kernels/Asinh.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,KAAK,GAAG,eAAe,CAAC,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AAEpE,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan.js.map

@@ -1 +1 @@
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+{"version":3,"file":"Atan.js","sourceRoot":"","sources":["../../src/kernels/Atan.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan2.js.map

@@ -1 +1 @@
-{"version":3,"file":"Atan2.js","sourceRoot":"","sources":["../../src/kernels/Atan2.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAC1D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,SAAS,GAAG,4BAA4B,CACjD,CAAC,MAAM,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,MAAM,EAAE,MAAM,CAAC,CAAC,CAAC;AAEpD,MAAM,CAAC,MAAM,KAAK,GAAG,gBAAgB,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC;AAExD,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Atan2, KernelConfig} from '@tensorflow/tfjs-core';\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const atan2Impl = createSimpleBinaryKernelImpl(\n    (aValue, bValue) => Math.atan2(aValue, bValue));\n\nexport const atan2 = binaryKernelFunc(Atan2, atan2Impl);\n\nexport const atan2Config: KernelConfig = {\n  kernelName: Atan2,\n  backendName: 'cpu',\n  kernelFunc: atan2,\n};\n"]}
+{"version":3,"file":"Atan2.js","sourceRoot":"","sources":["../../src/kernels/Atan2.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAC1D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,SAAS,GAAG,4BAA4B,CACjD,CAAC,MAAM,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,MAAM,EAAE,MAAM,CAAC,CAAC,CAAC;AAEpD,MAAM,CAAC,MAAM,KAAK,GAAG,gBAAgB,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC;AAExD,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atanh.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool3D.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool3DGrad.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AvgPool3DGrad, AvgPool3DGradAttrs, AvgPool3DGradInputs, backend_util, buffer, KernelConfig, KernelFunc, TensorInfo} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function avgPool3DGrad(args: {\n  inputs: AvgPool3DGradInputs,\n  backend: MathBackendCPU,\n  attrs: AvgPool3DGradAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {dy, input} = inputs;\n  const {filterSize, strides, pad, dimRoundingMode} = attrs;\n\n  assertNotComplex([dy, input], 'avgPool3DGrad');\n\n  const convInfo = backend_util.computePool3DInfo(\n      input.shape as [number, number, number, number, number], filterSize,\n      strides, 1 /* dilations */, pad, dimRoundingMode);\n\n  const strideDepth = conLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPoolGrad.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {AvgPoolGrad, AvgPoolGradAttrs, AvgPoolGradInputs, backend_util, buffer, KernelConfig, KernelFunc, Rank, TensorInfo} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function avgPoolGrad(args: {\n  inputs: AvgPoolGradInputs,\n  backend: MathBackendCPU,\n  attrs: AvgPoolGradAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {dy, input} = inputs;\n  const x = input;\n  assertNotComplex([dy, input], 'avgPoolGrad');\n  const {filterSize, strides, pad} = attrs;\n\n  const convInfo = backend_util.computePool2DInfo(\n      x.shape as [number, number, number, number], filterSize, strides,\n      1 /* dilations */, pad);\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const filterHeight = convInfo.filterHeight;\n  const filterWidth = convInfo.filterWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n  const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n  const dx =\n      buffer<Rank.R4>(x.shape as [number, number, number, numbLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/BatchNorm.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {FusedBatchNorm, FusedBatchNormAttrs, FusedBatchNormInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function batchNorm(args: {\n  inputs: FusedBatchNormInputs,\n  backend: MathBackendCPU,\n  attrs: FusedBatchNormAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x, scale, offset, mean, variance} = inputs;\n\n  util.assert(\n      mean.shape.length === variance.shape.length,\n      () => 'Batch normalization gradient requires mean and variance to have ' +\n          'equal ranks.');\n  util.assert(\n      offset == null || mean.shape.length === offset.shape.length,\n      () => 'Batch normalization gradient requires mean and offset to have ' +\n          'equal ranks.');\n  util.assert(\n      scale == null || mean.shape.length === scale.shape.length,\n      () => 'Batch normalization gradient requires mean and scale to have ' +\n          'equal ranks.');\n\n  assertNotComplex([x, mean, variance, scale, offset], 'batchNorm');\n\n  let {varianceEpsilon} = attrs;\n  if (varianceEpsilon == null) {\n    varianceEpsilon = 0.001;\n  }\n\n  const xVals = backend.data.get(x.dataId).values as TypedArray;\n  const mVals = backend.data.get(mean.dataId).values as TypedArray;\n  const varVals = backend.data.get(variance.dataId).values as TypedArray;\n  const sVals = scale ? backend.data.get(scale.dataId).values as TypedArray :\n              Line truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/BatchToSpaceND.js.map

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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Bincount.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Bincount_impl.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Cast.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Cast, CastAttrs, CastInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {zeros} from '../utils/zeros_impl';\n\nimport {complex} from './Complex';\nimport {identity} from './Identity';\nimport {real} from './Real';\n\nexport function cast(\n    args: {inputs: CastInputs, backend: MathBackendCPU, attrs: CastAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {dtype} = attrs;\n\n  // Casting to complex64.\n  if (dtype === 'complex64') {\n    if (x.dtype === 'complex64') {\n      return identity({inputs: {x}, backend});\n    }\n\n    const zerosTensorInfo = zeros(backend, x.shape, x.dtype);\n    const floatX = cast({inputs: {x}, backend, attrs: {dtype: 'float32'}});\n\n    const result =\n        complex({inputs: {real: floatX, imag: zerosTensorInfo}, backend});\n\n    backend.disposeIntermediateTensorInfo(zerosTensorInfo);\n    backend.disposeIntermediateTensorInfo(floatX);\n\n    return result;\n  }\n\n  // Casting from complex64\n  if (x.dtype === 'complex64') {\n    const realPart = real({inputs: {input: x}, backend});\n    const result = cast({inputs: {x: realPart}, backend, attrs: {dtype}});\n\n    backend.disposeIntermediateTensorInfo(realPart);\n\n    return result;\n  }\n\n  if (!util.hasEncodingLoss(x.dtype, dtype)) {\Line truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Ceil.js.map

@@ -1 +1 @@
-{"version":3,"file":"Ceil.js","sourceRoot":"","sources":["../../src/kernels/Ceil.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,qBAAqB,EAAC,MAAM,qBAAqB,CAAC;AAC1D,OAAO,EAAC,uBAAuB,EAAC,MAAM,sBAAsB,CAAC;AAE7D,MAAM,CAAC,MAAM,QAAQ,GAAG,qBAAqB,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AACrE,MAAM,CAAC,MAAM,IAAI,GAAG,uBAAuB,CAAC,IAAI,EAAE,QAAQ,CAAC,CAAC;AAE5D,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Ceil, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleUnaryImpl} from '../utils/unary_impl';\nimport {unaryKernelFuncFromImpl} from '../utils/unary_utils';\n\nexport const ceilImpl = createSimpleUnaryImpl((xi) => Math.ceil(xi));\nexport const ceil = unaryKernelFuncFromImpl(Ceil, ceilImpl);\n\nexport const ceilConfig: KernelConfig = {\n  kernelName: Ceil,\n  backendName: 'cpu',\n  kernelFunc: ceil,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Clip.js.map

@@ -1 +1 @@
-{"version":3,"file":"Clip.js","sourceRoot":"","sources":["../../src/kernels/Clip.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,WAAW,EAAiC,MAAM,uBAAuB,CAAC;AAElF,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,WAAW,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAE;IAC7D,MAAM,SAAS,GAAG,KAA+B,CAAC;IAClD,IAAI,EAAE,GAAG,SAAS,CAAC,YAAY,EAAE;QAC/B,OAAO,SAAS,CAAC,YAAY,CAAC;KAC/B;IACD,OAAO,EAAE,GAAG,SAAS,CAAC,YAAY,CAAC,CAAC,CAAC,SAAS,CAAC,YAAY,CAAC,CAAC,CAAC,EAAE,CAAC;AACnE,CAAC,CAAC,CAAC;AAEH,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,WAAW;IACvB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ClipByValue, ClipByValueAttrs, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const clip = unaryKernelFunc(ClipByValue, (xi, attrs) => {\n  const clipAttrs = attrs as {} as ClipByValueAttrs;\n  if (xi > clipAttrs.clipValueMax) {\n    return clipAttrs.clipValueMax;\n  }\n  return xi < clipAttrs.clipValueMin ? clipAttrs.clipValueMin : xi;\n});\n\nexport const clipConfig: KernelConfig = {\n  kernelName: ClipByValue,\n  backendName: 'cpu',\n  kernelFunc: clip,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Complex.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ComplexAbs.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Complex_test.js.map

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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Concat.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Concat, ConcatAttrs, ConcatInputs, KernelConfig, KernelFunc, TensorInfo, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nimport {complex} from './Complex';\nimport {concatImpl} from './Concat_impl';\nimport {identity} from './Identity';\nimport {imag} from './Imag';\nimport {real} from './Real';\nimport {reshape} from './Reshape';\n\nexport function concat(\n    args: {inputs: ConcatInputs, backend: MathBackendCPU, attrs: CLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Concat_impl.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Conv2D.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Conv2D, Conv2DAttrs, Conv2DInputs, KernelConfig, KernelFunc, TensorBuffer, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Conv2DBackpropFilter.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Conv2DBackpropFilter, Conv2DBackpropFilterAttrs, Conv2DBackpropFilterInputs, KernelConfig, KernelFunc, TensorBuffer, TensorInfo, TypedArray} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function conv2DBackpropFilter(args: {\n  inputs: Conv2DBackpropFilterInputs,\n  backend: MathBackendCPU,\n  attrs: Conv2DBackpropFilterAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x, dy} = inputs;\n  const {strides, pad, dataFormat, dimRoundingMode, filterShape} = attrs;\n\n  assertNotComplex([x, dy], 'conv2dBackpropFilter');\n\n  const $dataFormat = backend_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = backend_util.computeConv2DInfo(\n      x.shape as [number, number, number, number], filterShape, strides,\n      1 /* dilations */, pad, dimRoundingMode, false /* depthwise */,\n      $dataFormat);\n\n  cLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Conv2DBackpropInput.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Conv2DBackpropILine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Conv3D.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Conv3D, Conv3DAttrs, Conv3DInputs, KernelConfig, KernelFunc, TensorBuffer, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function conv3D(\n    args: {inputs: Conv3DInputs, backend: MathBackendCPU, attrs: Conv3DAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x, filter} = inputs;\n  const {strides, Line truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Conv3DBackpropFilterV2.js.map

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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Conv3DBackpropInputV2.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Conv3DBackpropInputV2, Conv3DBackpropInputV2Attrs, Conv3DBackpropInputV2Inputs, KernelConfigLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Cos.js.map

@@ -1 +1 @@
-{"version":3,"file":"Cos.js","sourceRoot":"","sources":["../../src/kernels/Cos.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAe,MAAM,uBAAuB,CAAC;AAExD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,GAAG,GAAG,eAAe,CAAC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC;AAE9D,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAG;CAChB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Cos, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const cos = unaryKernelFunc(Cos, (xi) => Math.cos(xi));\n\nexport const cosConfig: KernelConfig = {\n  kernelName: Cos,\n  backendName: 'cpu',\n  kernelFunc: cos,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Cosh.js.map

@@ -1 +1 @@
-{"version":3,"file":"Cosh.js","sourceRoot":"","sources":["../../src/kernels/Cosh.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Cosh, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const cosh = unaryKernelFunc(Cosh, (xi) => Math.cosh(xi));\n\nexport const coshConfig: KernelConfig = {\n  kernelName: Cosh,\n  backendName: 'cpu',\n  kernelFunc: cosh,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/CropAndResize.js.map

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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Cumsum.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Cumsum, CumsumAttrs, CumsumInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray, upcastType, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\nimport {transpose} from './Transpose';\n\nexport function cumsum(\n    args: {inputs: CumsumInputs, backend: MathBackendCPU, attrs: CumsumAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {axis, exclusive, reverse} = attrs;\n\n  assertNotComplex(x, 'cumsum');\n\n  const permutation = backend_util.getAxesPermutation([axis], x.shape.length);\n  let $x = x;\n  if (permutation != null) {\n    $x = transpose({inputs: {x}, backend, attrs: {perm: permutation}});\n  }\n  const permutedAxis = backend_util.getInnerMostAxes(1, x.shape.length)[0];\n\n  if (permutedAxis !== $x.shape.length - 1) {\n    throw new Error(\n        `backend.cumsum in CPU expects an inner-most ` +\n        `axis=${$x.shape.length - 1} but got axis=${permutedAxis}`);\n  }\n\n  const resultDtype = upcastType($x.dtype, 'int32');\n  const vals = util.makeZerosTypedArray(\n                   util.sizeFromShape($x.shape), resultDtype) as TypedArray;\n\n  const aVals = backend.data.get($x.dataId).values as TypedArray;\n  const finalDim = $x.shape[$x.shape.length - 1];\n  const indexAdjuster = reverse ?\n      (i: number, j: number) => i + finalDim - j - 1 :\n      (i: number, j: number) =Line truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/DenseBincount.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/DepthToSpace.js.map

@@ -1 +1 @@
-{"version":3,"file":"DepthToSpace.js","sourceRoot":"","sources":["../../src/kernels/DepthToSpace.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,YAAY,EAA2F,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAIlJ,MAAM,UAAU,YAAY,CAAC,IAI5B;IACC,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,SAAS,EAAE,UAAU,EAAC,GAAG,KAAK,CAAC;IAEtC,IAAI,CAAC,MAAM,CACP,UAAU,KAAK,MAAM,EACrB,GAAG,EAAE,CAAC,+DACF,UAAU,EAAE,CAAC,CAAC;IACtB,IAAI,CAAC,MAAM,CACP,SAAS,GAAG,CAAC,EACb,GAAG,EAAE,CAAC,sDAAsD,SAAS,EAAE,CAAC,CAAC;IAE7E,MAAM,SAAS,GAAG,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC;IAC7B,MAAM,WAAW,GAAG,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC;IAC/B,MAAM,UAAU,GAAG,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC;IAC9B,MAAM,UAAU,GAAG,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC;IAE9B,MAAM,YAAY,GAAG,WAAW,GAAG,SAAS,CAAC;IAC7C,MAAM,WAAW,GAAG,UAAU,GAAG,SAAS,CAAC;IAC3C,MAAM,WAAW,GAAG,UAAU,GAAG,CAAC,SAAS,GAAG,SAAS,CAAC,CAAC;IAEzD,MAAM,OAAO,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAChE,MAAM,MAAM,GACR,IAAI,YAAY,CAAC,SAAS,GAAG,YAAY,GAAG,WAAW,GAAG,WAAW,CAAC,CAAC;IAE3E,IAAI,SAAS,GAAG,CAAC,CAAC;IAClB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,SAAS,EAAE,EAAE,CAAC,EAAE;QAClC,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,YAAY,EAAE,EAAE,CAAC,EAAE;YACrC,MAAM,GAAG,GAAG,IAAI,CAAC,KAAK,CAAC,CAAC,GAAG,SAAS,CAAC,CAAC;YACtC,MAAM,OAAO,GAAG,CAAC,CAAC,GAAG,SAAS,CAAC,CAAC;YAChC,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,WAAW,EAAE,EAAE,CAAC,EAAE;gBACpC,MAAM,GAAG,GAAG,IAAI,CAAC,KAAK,CAAC,CAAC,GAAG,SAAS,CAAC,CAAC;gBACtC,MAAM,OAAO,GAAG,CAAC,CAAC,GAAG,SAAS,CAAC,CAAC;gBAChC,MAAM,OAAO,GAAG,CAAC,OAAO,GAAG,SAAS,GAAG,OAAO,CAAC,GAAG,WAAW,CAAC;gBAC9D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,WAAW,EAAE,EAAE,CAAC,EAAE;oBACpC,MAAM,GAAG,GAAG,CAAC,GAAG,OAAO,CAAC;oBACxB,MAAM,QAAQ,GACV,GAAG,GAAG,UAAU,GAAG,CAAC,GAAG,GAAG,UAAU,GAAG,CAAC,GAAG,GAAG,WAAW,GAAG,CAAC,CAAC,CAAC,CAAC;oBACpE,MAAM,CAAC,SAAS,EAAE,CAAC,GAAG,OAAO,CAAC,QAAQ,CAAC,CAAC;iBACzC;aACF;SACF;KACF;IAED,OAAO,OAAO,CAAC,cAAc,CACzB,CAAC,SAAS,EAAE,YAAY,EAAE,WAAW,EAAE,WAAW,CAAC,EAAE,CAAC,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC;AAC5E,CAAC;AAED,MAAM,CAAC,MAAM,kBAAkB,GAAiB;IAC9C,UAAU,EAAE,YAAY;IACxB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,YAAgC;CAC7C,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DepthToSpace, DepthToSpaceAttrs, DepthToSpaceInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nexport function depthToSpace(args: {\n  inputs: DepthToSpaceInputs,\n  backend: MathBackendCPU,\n  attrs: DepthToSpaceAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {blockSize, dataFormat} = attrs;\n\n  util.assert(\n      dataFormat === 'NHWC',\n      () => `Only NHWC dataFormat supported on CPU for depthToSpace. Got ${\n          dataFormat}`);\n  util.assert(\n      blockSize > 1,\n      () => `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n  const batchSize = x.shape[0];\n  const inputHeight = x.shape[1];\n  const inputWidth = x.shape[2];\n  const inputDepth = x.shape[3];\n\n  const outputHeight = inputHeight * blockSize;\n  const outputWidth = inputWidth * blockSize;\n  const outputDepth = inputDepth / (blockSize * blockSize);\n\n  const xValues = backend.data.get(x.dataId).values as TypedArray;\n  const result =\n      new Float32Array(batchSize * outputHeight * outputWidth * outputDepth);\n\n  let outputIdx = 0;\n  for (let b = 0; b < batchSize; ++b) {\n    for (let h = 0; h < outputHeight; ++h) {\n      const inH = Math.floor(h / blockSize);\n      const offsetH = (h % blockSize);\n      for (let w = 0; w < outputWidth; ++w) {\n        const inW = Math.floor(w / blockSize);\n        const offsetW = (w % blockSize);\n        const offsetD = (offsetH * blockSize + offsetW) * outputDepth;\n        for (let d = 0; d < outputDepth; ++d) {\n          const inD = d + offsetD;\n          const inputIdx =\n              inD + inputDepth * (inW + inputWidth * (inH + inputHeight * b));\n          result[outputIdx++] = xValues[inputIdx];\n        }\n      }\n    }\n  }\n\n  return backend.makeTensorInfo(\n      [batchSize, outputHeight, outputWidth, outputDepth], x.dtype, result);\n}\n\nexport const depthToSpaceConfig: KernelConfig = {\n  kernelName: DepthToSpLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/DepthwiseConv2dNative.js

@@ -43,7 +43,7 @@ export function depthwiseConv2dNative(args) {
         const yOffset1 = b * y.strides[0];
         for (let yR = 0; yR < convInfo.outHeight; ++yR) {
             const yOffset2 = yOffset1 + yR * y.strides[1];
-            const xRCorner = yR * convInfo.strideHeight - padTop;
+            const xRCorner = yR * convInfo.strideHeight - padLeft;
             for (let wR = 0; wR < filterHeight; ++wR) {
                 const xR = xRCorner + wR * dilationHeight;
                 if (xR < 0 || xR >= convInfo.inHeight) {
@@ -53,7 +53,7 @@ export function depthwiseConv2dNative(args) {
                 const xOffset2 = xOffset1 + xR * xStrides[1];
                 for (let yC = 0; yC < convInfo.outWidth; ++yC) {
                     const yOffset3 = yOffset2 + yC * y.strides[2];
-                    const xCCorner = yC * convInfo.strideWidth - padLeft;
+                    const xCCorner = yC * convInfo.strideWidth - padTop;
                     for (let wC = 0; wC < filterWidth; ++wC) {
                         const xC = xCCorner + wC * dilationWidth;
                         if (xC < 0 || xC >= convInfo.inWidth) {

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/DepthwiseConv2dNative.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, DepthwiseConv2dNative, DepthwiseConv2dNativeAttrs, DepthwiseConv2dNativeInputs, KernelConfig, KernelFunc, TensorBuffer, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function depthwiseConv2dNative(args: {\n  inputs: DepthwiseConv2dNativeInputs,\n  backend: MathBackendCPU,\n  attrs: DepthwiseConv2dNativeAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x, filter} = inputs;\n  const {strides, pad, dilations, dimRoundingMode} = attrs;\n\n  assertNotComplex([x, filter], 'depthwiseConvLine truncated
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, DepthwiseConv2dNativeBackpropFilter, DepthwiseConv2dNativeBackpropFilterAttrs, DepthwiseConv2dNativeBackpropFilterInputs, KernelConfig, KernelFunc, TensorBuffer, TensorInfo, TypedArray} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function depthwiseConv2dNativeBackpropFilter(args: {\n  inputs: DepthwiseConv2dNativeBackpropFilterInputs,\n  backend: MathBackendCPU,\n  attrs: DepthwiseConv2dNativeBackpropFilterAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x, dy} = inputs;\n  const {strides, dilations, pad, dimRoundingMode, filterShape} = attrs;\n\n  assertNotComplex([x, dy], 'depthwiseConv2dNativeBackpropFilter');\n\n  const convInfo = backend_util.computeConv2DInfo(\n      x.shape as [number, number, number, number], filterShape, strides,\n      dilations, pad, dimRoundingMode, true /* depthwise */);\n\n  const {strideHeight, strideWidth, filterHeight, filterWidth} = convInfo;\n\n  const dW = new TensorBuffer(convInfo.filterShape, 'float32');\n\n  const leftPad = convInfo.padInfo.left;\n  const topPad = convLine truncated
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, DepthwiseConv2dNativeBackpropInput, DepthwiseConv2dNativeBackpropInputAttrs, DepthwiseConv2dNativeBackpropInputInputs, KernelConfig, KernelFunc, TensorBuffer, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function depthwiseConv2dNativeBackpropInput(args: {\n  inputs: DepthwiseConv2dNativeBackpropInputInputs,\n  backend: MathBackendCPU,\n  attrs: DepthwiseConv2dNativeBackpropInputAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {dy, filter} = inputs;\n  const {strides, dilations, pad, dimRoundingLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Diag.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Dilation2D.js.map

@@ -1 +1 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Dilation2D, Dilation2DAttrs, Dilation2DInputs, KernelConfig, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nexport const dilation2dConfig: KernelConfig = {\n  kernelName: Dilation2D,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {x, filter} = inputs as Dilation2DInputs;\n    const {strides, pad, dilations} = attrs as {} as Dilation2DAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n\n    const xVals = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const xRank = x.shape.length;\n\n    const filterVals = cpuBackend.data.get(filter.dataId).values as TypedArray;\n    const filterRank = filter.shape.length;\n\n    const {\n      batchSize,\n      inHeight,\n      inWidth,\n      inChannels,\n      outHeight,\n      outWidth,\n      padInfo,\n      strideHeight,\n      strideWidth,\n      filterHeight,\n      filterWidth,\n      dilationHeight,\n      dilationWidth,\n      outShape\n    } =\n        backend_util.computeDilation2DInfo(\n            x.shape as [number, number, number, number],\n            filter.shape as [number, number, number], strides, pad,\n            'NHWC' /* dataFormat */, dilations);\n\n    const outSizLine truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Dilation2DBackpropFilter.js.map

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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Dilation2DAttrs, Dilation2DBackpropFilter, Tensor3D, Tensor4D, TypedArray, util} from '@tensorflow/tfjs-core';\nimport {KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nexport const dilation2dBackpropFilterConfig: KernelConfig = {\n  kernelName: Dilation2DBackpropFilter,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {x, filter, dy} =\n        inputs as {x: Tensor4D, filter: Tensor3D, dy: Tensor4D};\n    const {strides, pad, dilations} = attrs as {} as Dilation2DAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n\n    const $x =\n        util.toNestedArray(\n            x.shape, cpuBackend.data.get(x.dataId).values as TypedArray) as\n        number[][][][];\n\n    const $filter = util.toNestedArray(\n                        filter.shape,\n                        cpuBackend.data.get(filter.dataId).values as\n                            TypedArray) as number[][][];\n\n    const {\n      batchSize,\n      inHeight,\n      inWidth,\n      inChannels,\n      outHeight,\n      outWidth,\n      padInfo,Line truncated
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Dilation2DAttrs, Dilation2DBackpropInput, Tensor3D, Tensor4D, TypedArray, util} from '@tensorflow/tfjs-core';\nimport {KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nexport const dilation2dBackpropInputConfig: KernelConfig = {\n  kernelName: Dilation2DBackpropInput,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {x, filter, dy} =\n        inputs as {x: Tensor4D, filter: Tensor3D, dy: Tensor4D};\n    const {strides, pad, dilations} = attrs as {} as Dilation2DAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n\n    const $x =\n        util.toNestedArray(\n            x.shape, cpuBackend.data.get(x.dataId).values as TypedArray) as\n        number[][][][];\n\n    const $filter = util.toNestedArray(\n                        filter.shape,\n                        cpuBackend.data.get(filter.dataId).values as\n                            TypedArray) as number[][][];\n\n Line truncated
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Einsum.d.ts

@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2021 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { EinsumAttrs, EinsumInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function einsum(args: {
-    inputs: EinsumInputs;
-    backend: MathBackendCPU;
-    attrs: EinsumAttrs;
-}): TensorInfo;
-export declare const einsumConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Einsum.js

@@ -1,90 +0,0 @@
-/**
- * @license
- * Copyright 2021 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { backend_util, Einsum, util } from '@tensorflow/tfjs-core';
-import { multiply } from './Multiply';
-import { reshape } from './Reshape';
-import { sum } from './Sum';
-import { transpose } from './Transpose';
-export function einsum(args) {
-    const { inputs, backend, attrs } = args;
-    const { equation } = attrs;
-    const tensors = inputs;
-    const { allDims, summedDims, idDims } = backend_util.decodeEinsumEquation(equation, tensors.length);
-    backend_util.checkEinsumDimSizes(allDims.length, idDims, tensors);
-    const { path, steps } = backend_util.getEinsumComputePath(summedDims, idDims);
-    const nSteps = steps.length;
-    let out = null;
-    let numDimsRemaining = allDims.length;
-    const tensorsToDispose = [];
-    for (let i = 0; i < nSteps; ++i) {
-        for (const idTerm of steps[i]) {
-            const { permutationIndices: perm, expandDims: dimsToExpand } = backend_util.getEinsumPermutation(numDimsRemaining, idDims[idTerm]);
-            let x;
-            if (backend_util.isIdentityPermutation(perm)) {
-                x = tensors[idTerm];
-            }
-            else {
-                x = transpose({ inputs: { x: tensors[idTerm] }, backend, attrs: { perm } });
-                tensorsToDispose.push(x);
-            }
-            const targetShape = x.shape.slice();
-            for (let k = 0; k < dimsToExpand.length; ++k) {
-                targetShape.splice(dimsToExpand[k], 0, 1);
-            }
-            if (!util.arraysEqual(x.shape, targetShape)) {
-                x = reshape({ inputs: { x }, backend, attrs: { shape: targetShape } });
-                tensorsToDispose.push(x);
-            }
-            if (out === null) {
-                out = x;
-            }
-            else {
-                // tslint:disable-next-line: no-unnecessary-type-assertion
-                out = multiply({ inputs: { a: x, b: out }, backend });
-                tensorsToDispose.push(out);
-            }
-        }
-        if (i < nSteps - 1) {
-            if (path[i] >= 0) {
-                out = sum({
-                    inputs: { x: out },
-                    backend,
-                    attrs: {
-                        axis: path[i] - (allDims.length - numDimsRemaining),
-                        keepDims: false
-                    }
-                });
-                tensorsToDispose.push(out);
-            }
-            numDimsRemaining--;
-        }
-    }
-    // Clean up intermediate tensors.
-    for (const tensorInfo of tensorsToDispose) {
-        if (tensorInfo === out) {
-            continue;
-        }
-        backend.disposeIntermediateTensorInfo(tensorInfo);
-    }
-    return out;
-}
-export const einsumConfig = {
-    kernelName: Einsum,
-    backendName: 'cpu',
-    kernelFunc: einsum
-};
-//# sourceMappingURL=Einsum.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Einsum.js.map

@@ -1 +0,0 @@
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Einsum, EinsumAttrs, EinsumInputs, KernelConfig, KernelFunc, Tensor, TensorInfo, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nimport {multiply} from './Multiply';\nimport {reshape} from './Reshape';\nimport {sum} from './Sum';\nimport {transpose} from './Transpose';\n\nexport function einsum(\n    args: {inputs: EinsumInputs, backend: MathBackendCPU, attrs: EinsumAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {equation} = attrs;\n  const tensors = inputs as Tensor[];\n\n  const {allDims, summedDims, idDims} =\n      backend_util.decodeEinsumEquation(equation, tensors.length);\n  backend_util.checkEinsumDimSizes(allDims.length, idDims, tensors);\n  const {path, steps} = backend_util.getEinsumComputePath(summedDims, idDims);\n\n  const nSteps = steps.length;\n  let out: TensorInfo|null = null;\n  let numDimsRemaining = allDims.length;\n  const tensorsToDispose: TensorInfo[] = [];\n  for (let i = 0; i < nSteps; ++i) {\n    for (const idTerm of steps[i]) {\n      const {permutationIndices: perm, expandDims: dimsToExpand} =\n          backend_util.getEinsumPermutation(numDimsRemaining, idDims[idTerm]);\n      let x: TensorInfo;\n      if (backend_util.isIdentityPermutation(perm)) {\n        x = tensors[idTerm];\n      } else {\n        x = transpose({inpuLine truncated

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Elu.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/EluGrad.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Equal.js.map

@@ -1 +1 @@
-{"version":3,"file":"Equal.js","sourceRoot":"","sources":["../../src/kernels/Equal.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,SAAS,GAClB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;AAC9E,MAAM,CAAC,MAAM,KAAK,GACd,gBAAgB,CAAC,KAAK,EAAE,SAAS,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAEvE,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Equal, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const equalImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => (a === b) ? 1 : 0);\nexport const equal =\n    binaryKernelFunc(Equal, equalImpl, null /* complexImpl */, 'bool');\n\nexport const equalConfig: KernelConfig = {\n  kernelName: Equal,\n  backendName: 'cpu',\n  kernelFunc: equal\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Erf.js.map

@@ -1 +1 @@
-{"version":3,"file":"Erf.js","sourceRoot":"","sources":["../../src/kernels/Erf.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,YAAY,EAAE,GAAG,EAAe,MAAM,uBAAuB,CAAC;AAEtE,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,GAAG,YAAY,CAAC,KAAK,CAAC;AAC7B,MAAM,EAAE,GAAG,YAAY,CAAC,MAAM,CAAC;AAC/B,MAAM,EAAE,GAAG,YAAY,CAAC,MAAM,CAAC;AAC/B,MAAM,EAAE,GAAG,YAAY,CAAC,MAAM,CAAC;AAC/B,MAAM,EAAE,GAAG,YAAY,CAAC,MAAM,CAAC;AAC/B,MAAM,EAAE,GAAG,YAAY,CAAC,MAAM,CAAC;AAE/B,MAAM,CAAC,MAAM,GAAG,GAAG,eAAe,CAC9B,GAAG,EACH,CAAC,EAAE,EAAE,EAAE;IACL,MAAM,IAAI,GAAG,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;IAC3B,MAAM,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,CAAC;IACvB,MAAM,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC;IAC9B,OAAO,IAAI;QACP,CAAC,GAAG;YACH,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,GAAG,EAAE,CAAC,GAAG,CAAC,CAAC,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC,GAAG,CAAC;gBAChD,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC;AAC7B,CAAC,CACJ,CAAC;AAEF,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAG;CAChB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Erf, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nconst p = backend_util.ERF_P;\nconst a1 = backend_util.ERF_A1;\nconst a2 = backend_util.ERF_A2;\nconst a3 = backend_util.ERF_A3;\nconst a4 = backend_util.ERF_A4;\nconst a5 = backend_util.ERF_A5;\n\nexport const erf = unaryKernelFunc(\n    Erf,\n    (xi) => {\n      const sign = Math.sign(xi);\n      const v = Math.abs(xi);\n      const t = 1.0 / (1.0 + p * v);\n      return sign *\n          (1.0 -\n           (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t *\n               Math.exp(-v * v));\n    },\n);\n\nexport const erfConfig: KernelConfig = {\n  kernelName: Erf,\n  backendName: 'cpu',\n  kernelFunc: erf,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Exp.js.map

@@ -1 +1 @@
-{"version":3,"file":"Exp.js","sourceRoot":"","sources":["../../src/kernels/Exp.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAe,MAAM,uBAAuB,CAAC;AAExD,OAAO,EAAC,qBAAqB,EAAC,MAAM,qBAAqB,CAAC;AAC1D,OAAO,EAAC,uBAAuB,EAAC,MAAM,sBAAsB,CAAC;AAE7D,MAAM,CAAC,MAAM,OAAO,GAAG,qBAAqB,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC;AACnE,MAAM,CAAC,MAAM,GAAG,GAAG,uBAAuB,CAAC,GAAG,EAAE,OAAO,CAAC,CAAC;AAEzD,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAG;CAChB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Exp, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleUnaryImpl} from '../utils/unary_impl';\nimport {unaryKernelFuncFromImpl} from '../utils/unary_utils';\n\nexport const expImpl = createSimpleUnaryImpl((xi) => Math.exp(xi));\nexport const exp = unaryKernelFuncFromImpl(Exp, expImpl);\n\nexport const expConfig: KernelConfig = {\n  kernelName: Exp,\n  backendName: 'cpu',\n  kernelFunc: exp,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ExpandDims.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Expm1.js.map

@@ -1 +1 @@
-{"version":3,"file":"Expm1.js","sourceRoot":"","sources":["../../src/kernels/Expm1.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,qBAAqB,EAAC,MAAM,qBAAqB,CAAC;AAC1D,OAAO,EAAC,uBAAuB,EAAC,MAAM,sBAAsB,CAAC;AAE7D,MAAM,CAAC,MAAM,SAAS,GAAG,qBAAqB,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AACvE,MAAM,CAAC,MAAM,KAAK,GAAG,uBAAuB,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC;AAE/D,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Expm1, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleUnaryImpl} from '../utils/unary_impl';\nimport {unaryKernelFuncFromImpl} from '../utils/unary_utils';\n\nexport const expm1Impl = createSimpleUnaryImpl((xi) => Math.expm1(xi));\nexport const expm1 = unaryKernelFuncFromImpl(Expm1, expm1Impl);\n\nexport const expm1Config: KernelConfig = {\n  kernelName: Expm1,\n  backendName: 'cpu',\n  kernelFunc: expm1,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/FFT.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Fill.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/FlipLeftRight.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Floor.js.map

@@ -1 +1 @@
-{"version":3,"file":"Floor.js","sourceRoot":"","sources":["../../src/kernels/Floor.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,qBAAqB,EAAC,MAAM,qBAAqB,CAAC;AAC1D,OAAO,EAAC,uBAAuB,EAAC,MAAM,sBAAsB,CAAC;AAE7D,MAAM,CAAC,MAAM,SAAS,GAAG,qBAAqB,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AACvE,MAAM,CAAC,MAAM,KAAK,GAAG,uBAAuB,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC;AAE/D,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Floor, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleUnaryImpl} from '../utils/unary_impl';\nimport {unaryKernelFuncFromImpl} from '../utils/unary_utils';\n\nexport const floorImpl = createSimpleUnaryImpl((xi) => Math.floor(xi));\nexport const floor = unaryKernelFuncFromImpl(Floor, floorImpl);\n\nexport const floorConfig: KernelConfig = {\n  kernelName: Floor,\n  backendName: 'cpu',\n  kernelFunc: floor,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/FloorDiv.js.map

@@ -1 +1 @@
-{"version":3,"file":"FloorDiv.js","sourceRoot":"","sources":["../../src/kernels/FloorDiv.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,QAAQ,EAAe,MAAM,uBAAuB,CAAC;AAE7D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,YAAY,GACrB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC;AAC9E,MAAM,CAAC,MAAM,QAAQ,GACjB,gBAAgB,CAAC,QAAQ,EAAE,YAAY,EAAE,IAAI,CAAC,iBAAiB,EAAE,OAAO,CAAC,CAAC;AAE9E,MAAM,CAAC,MAAM,cAAc,GAAiB;IAC1C,UAAU,EAAE,QAAQ;IACpB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,QAAQ;CACrB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {FloorDiv, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const floorDivImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => Math.floor(a / b));\nexport const floorDiv =\n    binaryKernelFunc(FloorDiv, floorDivImpl, null /* complexImpl */, 'int32');\n\nexport const floorDivConfig: KernelConfig = {\n  kernelName: FloorDiv,\n  backendName: 'cpu',\n  kernelFunc: floorDiv\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/FusedConv2D.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/FusedDepthwiseConv2D.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/GatherNd.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/GatherV2.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/GatherV2_impl.js.map

@@ -1 +1 @@
-{"version":3,"file":"GatherV2_impl.js","sourceRoot":"","sources":["../../src/kernels/GatherV2_impl.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,MAAM,EAA+B,MAAM,uBAAuB,CAAC;AAE3E,MAAM,UAAU,YAAY,CACxB,IAAwB,EAAE,UAA8B,EACxD,kBAA4B;IAC9B,MAAM,MAAM,GAAG,MAAM,CAAC,kBAAkB,EAAE,IAAI,CAAC,KAAK,CAAC,CAAC;IACtD,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,MAAM,CAAC,IAAI,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,MAAM,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAEpC,MAAM,WAAW,GAAa,MAAM,CAAC,KAAK,EAAE,CAAC;QAC7C,MAAM,QAAQ,GAAG,WAAW,CAAC,CAAC,CAAC,CAAC;QAChC,MAAM,UAAU,GAAG,WAAW,CAAC,CAAC,CAAC,CAAC;QAClC,MAAM,YAAY,GAAG,UAAU,CAAC,UAAU,CAAC,CAAC,QAAQ,EAAE,UAAU,CAAC,CAAC,CAAC;QACnE,WAAW,CAAC,CAAC,CAAC,GAAG,UAAU,CAAC,MAAM,CAAC,YAAY,CAAW,CAAC;QAE3D,MAAM,aAAa,GAAG,IAAI,CAAC,UAAU,CAAC,WAAW,CAAC,CAAC;QACnD,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,GAAG,IAAI,CAAC,MAAM,CAAC,aAAa,CAAC,CAAC;KAC/C;IAED,OAAO,MAA4B,CAAC;AACtC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {buffer, DataType, Rank, TensorBuffer} from '@tensorflow/tfjs-core';\n\nexport function gatherV2Impl<R extends Rank, D extends DataType>(\n    xBuf: TensorBuffer<R, D>, indicesBuf: TensorBuffer<R, D>,\n    flattenOutputShape: number[]): TensorBuffer<R, D> {\n  const outBuf = buffer(flattenOutputShape, xBuf.dtype);\n  for (let i = 0; i < outBuf.size; ++i) {\n    const newLoc = outBuf.indexToLoc(i);\n\n    const originalLoc: number[] = newLoc.slice();\n    const batchIdx = originalLoc[0];\n    const indicesIdx = originalLoc[2];\n    const indicesIndex = indicesBuf.locToIndex([batchIdx, indicesIdx]);\n    originalLoc[2] = indicesBuf.values[indicesIndex] as number;\n\n    const originalIndex = xBuf.locToIndex(originalLoc);\n    outBuf.values[i] = xBuf.values[originalIndex];\n  }\n\n  return outBuf as TensorBuffer<R, D>;\n}\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Greater.js.map

@@ -1 +1 @@
-{"version":3,"file":"Greater.js","sourceRoot":"","sources":["../../src/kernels/Greater.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,OAAO,EAAe,MAAM,uBAAuB,CAAC;AAE5D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,WAAW,GACpB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;AAC5E,MAAM,CAAC,MAAM,OAAO,GAChB,gBAAgB,CAAC,OAAO,EAAE,WAAW,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAE3E,MAAM,CAAC,MAAM,aAAa,GAAiB;IACzC,UAAU,EAAE,OAAO;IACnB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,OAAO;CACpB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Greater, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const greaterImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => (a > b) ? 1 : 0);\nexport const greater =\n    binaryKernelFunc(Greater, greaterImpl, null /* complexImpl */, 'bool');\n\nexport const greaterConfig: KernelConfig = {\n  kernelName: Greater,\n  backendName: 'cpu',\n  kernelFunc: greater\n};\n"]}
+{"version":3,"file":"Greater.js","sourceRoot":"","sources":["../../src/kernels/Greater.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,OAAO,EAAe,MAAM,uBAAuB,CAAC;AAE5D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,WAAW,GACpB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;AAC5E,MAAM,CAAC,MAAM,OAAO,GAChB,gBAAgB,CAAC,OAAO,EAAE,WAAW,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAE3E,MAAM,CAAC,MAAM,aAAa,GAAiB;IACzC,UAAU,EAAE,OAAO;IACnB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,OAAO;CACpB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/GreaterEqual.js.map

@@ -1 +1 @@
-{"version":3,"file":"GreaterEqual.js","sourceRoot":"","sources":["../../src/kernels/GreaterEqual.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,YAAY,EAAe,MAAM,uBAAuB,CAAC;AAEjE,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,gBAAgB,GACzB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;AAC7E,MAAM,CAAC,MAAM,YAAY,GAAG,gBAAgB,CACxC,YAAY,EAAE,gBAAgB,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAEpE,MAAM,CAAC,MAAM,kBAAkB,GAAiB;IAC9C,UAAU,EAAE,YAAY;IACxB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,YAAY;CACzB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GreaterEqual, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const greaterEqualImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => (a >= b) ? 1 : 0);\nexport const greaterEqual = binaryKernelFunc(\n    GreaterEqual, greaterEqualImpl, null /* complexImpl */, 'bool');\n\nexport const greaterEqualConfig: KernelConfig = {\n  kernelName: GreaterEqual,\n  backendName: 'cpu',\n  kernelFunc: greaterEqual\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/IFFT.js.map

@@ -1 +1 @@
-{"version":3,"file":"IFFT.js","sourceRoot":"","sources":["../../src/kernels/IFFT.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAGnG,OAAO,EAAC,QAAQ,EAAC,MAAM,oBAAoB,CAAC;AAC5C,OAAO,EAAC,OAAO,EAAC,MAAM,WAAW,CAAC;AAElC,MAAM,UAAU,IAAI,CAAC,IAAmD;IAEtE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAC,GAAG,IAAI,CAAC;IAC/B,MAAM,EAAC,KAAK,EAAC,GAAG,MAAM,CAAC;IAEvB,MAAM,SAAS,GAAG,IAAI,CAAC,aAAa,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC;IAElD,6DAA6D;IAC7D,MAAM,kBAAkB,GAAG,KAAK,CAAC,KAAK,CAAC,KAAK,CAAC,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;IAC/D,MAAM,KAAK,GAAG,SAAS,GAAG,kBAAkB,CAAC;IAE7C,MAAM,OAAO,GAAG,OAAO,CAAC;QACtB,MAAM,EAAE,EAAC,CAAC,EAAE,KAAK,EAAC;QAClB,OAAO;QACP,KAAK,EAAE,EAAC,KAAK,EAAE,CAAC,KAAK,EAAE,kBAAkB,CAAC,EAAC;KAC5C,CAAC,CAAC;IAEH,MAAM,MAAM,GAAG,QAAQ,CAAC,OAAO,EAAE,IAAI,EAAE,OAAO,CAAC,CAAC;IAEhD,MAAM,cAAc,GAChB,OAAO,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAE,MAAM,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,KAAK,EAAE,KAAK,CAAC,KAAK,EAAC,EAAC,CAAC,CAAC;IAEzE,OAAO,CAAC,6BAA6B,CAAC,OAAO,CAAC,CAAC;IAC/C,OAAO,CAAC,6BAA6B,CAAC,MAAM,CAAC,CAAC;IAE9C,OAAO,cAAc,CAAC;AACxB,CAAC;AAED,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAwB;CACrC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IFFT, IFFTInputs, KernelConfig, KernelFunc, TensorInfo, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {fftBatch} from '../utils/fft_utils';\nimport {reshape} from './Reshape';\n\nexport function ifft(args: {inputs: IFFTInputs, backend: MathBackendCPU}):\n    TensorInfo {\n  const {inputs, backend} = args;\n  const {input} = inputs;\n\n  const inputSize = util.sizeFromShape(input.shape);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = inputSize / innerDimensionSize;\n\n  const input2D = reshape({\n    inputs: {x: input},\n    backend,\n    attrs: {shape: [batch, innerDimensionSize]}\n  });\n\n  const result = fftBatch(input2D, true, backend);\n\n  const resultReshaped =\n      reshape({inputs: {x: result}, backend, attrs: {shape: input.shape}});\n\n  backend.disposeIntermediateTensorInfo(input2D);\n  backend.disposeIntermediateTensorInfo(result);\n\n  return resultReshaped;\n}\n\nexport const ifftConfig: KernelConfig = {\n  kernelName: IFFT,\n  backendName: 'cpu',\n  kernelFunc: ifft as {} as KernelFunc\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Identity.js.map

@@ -1 +1 @@
-{"version":3,"file":"Identity.js","sourceRoot":"","sources":["../../src/kernels/Identity.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,QAAQ,EAAuD,MAAM,uBAAuB,CAAC;AAIrG,MAAM,UAAU,QAAQ,CACpB,IAAuD;IACzD,MAAM,EAAC,MAAM,EAAE,OAAO,EAAC,GAAG,IAAI,CAAC;IAC/B,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IAEnB,OAAO,CAAC,MAAM,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC;IAEzB,OAAO,EAAC,MAAM,EAAE,CAAC,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,KAAK,EAAE,KAAK,EAAE,CAAC,CAAC,KAAK,EAAC,CAAC;AAC5D,CAAC;AAED,MAAM,CAAC,MAAM,cAAc,GAAiB;IAC1C,UAAU,EAAE,QAAQ;IACpB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,QAA4B;CACzC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Identity, IdentityInputs, KernelConfig, KernelFunc, TensorInfo} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nexport function identity(\n    args: {inputs: IdentityInputs, backend: MathBackendCPU}): TensorInfo {\n  const {inputs, backend} = args;\n  const {x} = inputs;\n\n  backend.incRef(x.dataId);\n\n  return {dataId: x.dataId, shape: x.shape, dtype: x.dtype};\n}\n\nexport const identityConfig: KernelConfig = {\n  kernelName: Identity,\n  backendName: 'cpu',\n  kernelFunc: identity as {} as KernelFunc\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Imag.js.map

@@ -1 +1 @@
-{"version":3,"file":"Imag.js","sourceRoot":"","sources":["../../src/kernels/Imag.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAmD,MAAM,uBAAuB,CAAC;AAI7F,MAAM,UAAU,IAAI,CAAC,IAAmD;IAEtE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAC,GAAG,IAAI,CAAC;IAC/B,MAAM,EAAC,KAAK,EAAC,GAAG,MAAM,CAAC;IAEvB,MAAM,IAAI,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC,kBAAkB,CAAC,IAAI,CAAC;IACpE,MAAM,OAAO,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC,MAAM,CAAC;IAErD,8EAA8E;IAC9E,4EAA4E;IAC5E,gEAAgE;IAChE,OAAO,OAAO,CAAC,cAAc,CAAC,IAAI,CAAC,KAAK,EAAE,IAAI,CAAC,KAAK,EAAE,OAAO,CAAC,CAAC;AACjE,CAAC;AAED,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAwB;CACrC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Imag, ImagInputs, KernelConfig, KernelFunc, TensorInfo} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nexport function imag(args: {inputs: ImagInputs, backend: MathBackendCPU}):\n    TensorInfo {\n  const {inputs, backend} = args;\n  const {input} = inputs;\n\n  const imag = backend.data.get(input.dataId).complexTensorInfos.imag;\n  const imagVal = backend.data.get(imag.dataId).values;\n\n  // When complex tensor is disposed, its underlying parts will be disposed too.\n  // Make new tensor out of the imag value of the complex. This makes sure the\n  // value is still accessible even if complex tensor is disposed.\n  return backend.makeTensorInfo(imag.shape, imag.dtype, imagVal);\n}\n\nexport const imagConfig: KernelConfig = {\n  kernelName: Imag,\n  backendName: 'cpu',\n  kernelFunc: imag as {} as KernelFunc\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/IsFinite.js.map

@@ -1 +1 @@
-{"version":3,"file":"IsFinite.js","sourceRoot":"","sources":["../../src/kernels/IsFinite.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,QAAQ,EAAe,MAAM,uBAAuB,CAAC;AAE7D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,QAAQ,GACjB,eAAe,CAAC,QAAQ,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,MAAM,CAAC,QAAQ,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC;AAE3E,MAAM,CAAC,MAAM,cAAc,GAAiB;IAC1C,UAAU,EAAE,QAAQ;IACpB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,QAAQ;CACrB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IsFinite, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const isFinite =\n    unaryKernelFunc(IsFinite, (xi) => Number.isFinite(xi) ? 1 : 0, 'bool');\n\nexport const isFiniteConfig: KernelConfig = {\n  kernelName: IsFinite,\n  backendName: 'cpu',\n  kernelFunc: isFinite,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/IsInf.js.map

@@ -1 +1 @@
-{"version":3,"file":"IsInf.js","sourceRoot":"","sources":["../../src/kernels/IsInf.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,KAAK,GACd,eAAe,CAAC,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC;AAE9E,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IsInf, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const isInf =\n    unaryKernelFunc(IsInf, (xi) => Math.abs(xi) === Infinity ? 1 : 0, 'bool');\n\nexport const isInfConfig: KernelConfig = {\n  kernelName: IsInf,\n  backendName: 'cpu',\n  kernelFunc: isInf,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/IsNaN.js.map

@@ -1 +1 @@
-{"version":3,"file":"IsNaN.js","sourceRoot":"","sources":["../../src/kernels/IsNaN.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,KAAK,GACd,eAAe,CAAC,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,MAAM,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC;AAErE,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IsNan, KernelConfig} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const isNaN =\n    unaryKernelFunc(IsNan, (xi) => Number.isNaN(xi) ? 1 : 0, 'bool');\n\nexport const isNaNConfig: KernelConfig = {\n  kernelName: IsNan,\n  backendName: 'cpu',\n  kernelFunc: isNaN,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LRN.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LRNGrad.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LeakyRelu.js.map

@@ -1 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Less.js.map

@@ -1 +1 @@
-{"version":3,"file":"Less.js","sourceRoot":"","sources":["../../src/kernels/Less.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAe,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,QAAQ,GACjB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;AAC5E,MAAM,CAAC,MAAM,IAAI,GACb,gBAAgB,CAAC,IAAI,EAAE,QAAQ,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAErE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, Less} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const lessImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => (a < b) ? 1 : 0);\nexport const less =\n    binaryKernelFunc(Less, lessImpl, null /* complexImpl */, 'bool');\n\nexport const lessConfig: KernelConfig = {\n  kernelName: Less,\n  backendName: 'cpu',\n  kernelFunc: less\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LessEqual.js.map

@@ -1 +1 @@
-{"version":3,"file":"LessEqual.js","sourceRoot":"","sources":["../../src/kernels/LessEqual.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAe,SAAS,EAAC,MAAM,uBAAuB,CAAC;AAE9D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,aAAa,GACtB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;AAC7E,MAAM,CAAC,MAAM,SAAS,GAClB,gBAAgB,CAAC,SAAS,EAAE,aAAa,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAE/E,MAAM,CAAC,MAAM,eAAe,GAAiB;IAC3C,UAAU,EAAE,SAAS;IACrB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,SAAS;CACtB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, LessEqual} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const lessEqualImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => (a <= b) ? 1 : 0);\nexport const lessEqual =\n    binaryKernelFunc(LessEqual, lessEqualImpl, null /* complexImpl */, 'bool');\n\nexport const lessEqualConfig: KernelConfig = {\n  kernelName: LessEqual,\n  backendName: 'cpu',\n  kernelFunc: lessEqual\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LinSpace.js.map

@@ -1 +1 @@
-{"version":3,"file":"LinSpace.js","sourceRoot":"","sources":["../../src/kernels/LinSpace.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAA2B,QAAQ,EAA4B,MAAM,uBAAuB,CAAC;AAGpG,OAAO,EAAC,YAAY,EAAC,MAAM,iBAAiB,CAAC;AAE7C,MAAM,UAAU,QAAQ,CAAC,IAAqD;IAE5E,MAAM,EAAC,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IAC9B,MAAM,EAAC,KAAK,EAAE,IAAI,EAAE,GAAG,EAAC,GAAG,KAAK,CAAC;IAEjC,MAAM,OAAO,GAAG,YAAY,CAAC,KAAK,EAAE,IAAI,EAAE,GAAG,CAAC,CAAC;IAE/C,OAAO,OAAO,CAAC,cAAc,CAAC,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,CAAC;AACtE,CAAC;AAED,MAAM,CAAC,MAAM,cAAc,GAAiB;IAC1C,UAAU,EAAE,QAAQ;IACpB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,QAA4B;CACzC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, KernelFunc, LinSpace, LinSpaceAttrs, TensorInfo} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {linSpaceImpl} from './LinSpace_impl';\n\nexport function linSpace(args: {backend: MathBackendCPU, attrs: LinSpaceAttrs}):\n    TensorInfo {\n  const {backend, attrs} = args;\n  const {start, stop, num} = attrs;\n\n  const outVals = linSpaceImpl(start, stop, num);\n\n  return backend.makeTensorInfo([outVals.length], 'float32', outVals);\n}\n\nexport const linSpaceConfig: KernelConfig = {\n  kernelName: LinSpace,\n  backendName: 'cpu',\n  kernelFunc: linSpace as {} as KernelFunc\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LinSpace_impl.js.map

@@ -1 +1 @@
-{"version":3,"file":"LinSpace_impl.js","sourceRoot":"","sources":["../../src/kernels/LinSpace_impl.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAa,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,UAAU,YAAY,CACxB,KAAa,EAAE,IAAY,EAAE,GAAW;IAC1C,MAAM,IAAI,GAAG,CAAC,IAAI,GAAG,KAAK,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC;IAExC,MAAM,MAAM,GAAG,IAAI,CAAC,mBAAmB,CAAC,GAAG,EAAE,SAAS,CAAC,CAAC;IACxD,MAAM,CAAC,CAAC,CAAC,GAAG,KAAK,CAAC;IAClB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,MAAM,CAAC,MAAM,EAAE,CAAC,EAAE,EAAE;QACtC,MAAM,CAAC,CAAC,CAAC,GAAG,MAAM,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC;KAClC;IAED,OAAO,MAAM,CAAC;AAChB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray, util} from '@tensorflow/tfjs-core';\n\nexport function linSpaceImpl(\n    start: number, stop: number, num: number): TypedArray {\n  const step = (stop - start) / (num - 1);\n\n  const values = util.makeZerosTypedArray(num, 'float32');\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return values;\n}\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Log.js.map

@@ -1 +1 @@
-{"version":3,"file":"Log.js","sourceRoot":"","sources":["../../src/kernels/Log.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAe,GAAG,EAAC,MAAM,uBAAuB,CAAC;AAExD,OAAO,EAAC,qBAAqB,EAAC,MAAM,qBAAqB,CAAC;AAC1D,OAAO,EAAC,uBAAuB,EAAC,MAAM,sBAAsB,CAAC;AAE7D,MAAM,CAAC,MAAM,OAAO,GAAG,qBAAqB,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC;AACnE,MAAM,CAAC,MAAM,GAAG,GAAG,uBAAuB,CAAC,GAAG,EAAE,OAAO,CAAC,CAAC;AAEzD,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAG;CAChB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, Log} from '@tensorflow/tfjs-core';\n\nimport {createSimpleUnaryImpl} from '../utils/unary_impl';\nimport {unaryKernelFuncFromImpl} from '../utils/unary_utils';\n\nexport const logImpl = createSimpleUnaryImpl((xi) => Math.log(xi));\nexport const log = unaryKernelFuncFromImpl(Log, logImpl);\n\nexport const logConfig: KernelConfig = {\n  kernelName: Log,\n  backendName: 'cpu',\n  kernelFunc: log,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Log1p.js.map

@@ -1 +1 @@
-{"version":3,"file":"Log1p.js","sourceRoot":"","sources":["../../src/kernels/Log1p.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAe,KAAK,EAAC,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,KAAK,GAAG,eAAe,CAAC,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AAEpE,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, Log1p} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const log1p = unaryKernelFunc(Log1p, (xi) => Math.log1p(xi));\n\nexport const log1pConfig: KernelConfig = {\n  kernelName: Log1p,\n  backendName: 'cpu',\n  kernelFunc: log1p,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LogicalAnd.js.map

@@ -1 +1 @@
-{"version":3,"file":"LogicalAnd.js","sourceRoot":"","sources":["../../src/kernels/LogicalAnd.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAe,UAAU,EAAC,MAAM,uBAAuB,CAAC;AAE/D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,cAAc,GACvB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,IAAI,CAAC,CAAC,CAAC;AACnE,MAAM,CAAC,MAAM,UAAU,GAAG,gBAAgB,CACtC,UAAU,EAAE,cAAc,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAEhE,MAAM,CAAC,MAAM,gBAAgB,GAAiB;IAC5C,UAAU,EAAE,UAAU;IACtB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,UAAU;CACvB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, LogicalAnd} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const logicalAndImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => a && b);\nexport const logicalAnd = binaryKernelFunc(\n    LogicalAnd, logicalAndImpl, null /* complexImpl */, 'bool');\n\nexport const logicalAndConfig: KernelConfig = {\n  kernelName: LogicalAnd,\n  backendName: 'cpu',\n  kernelFunc: logicalAnd\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LogicalNot.js.map

@@ -1 +1 @@
-{"version":3,"file":"LogicalNot.js","sourceRoot":"","sources":["../../src/kernels/LogicalNot.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAe,UAAU,EAAC,MAAM,uBAAuB,CAAC;AAE/D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,UAAU,GACnB,eAAe,CAAC,UAAU,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC;AAE5D,MAAM,CAAC,MAAM,gBAAgB,GAAiB;IAC5C,UAAU,EAAE,UAAU;IACtB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,UAAU;CACvB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the License);\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an AS IS BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, LogicalNot} from '@tensorflow/tfjs-core';\n\nimport {unaryKernelFunc} from '../utils/unary_utils';\n\nexport const logicalNot =\n    unaryKernelFunc(LogicalNot, (xi) => xi ? 0 : 1, 'bool');\n\nexport const logicalNotConfig: KernelConfig = {\n  kernelName: LogicalNot,\n  backendName: 'cpu',\n  kernelFunc: logicalNot,\n};\n"]}
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/LogicalOr.js.map

@@ -1 +1 @@
-{"version":3,"file":"LogicalOr.js","sourceRoot":"","sources":["../../src/kernels/LogicalOr.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAe,SAAS,EAAC,MAAM,uBAAuB,CAAC;AAE9D,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,CAAC,MAAM,aAAa,GACtB,4BAA4B,CAAC,CAAC,CAAS,EAAE,CAAS,EAAE,EAAE,CAAC,CAAC,IAAI,CAAC,CAAC,CAAC;AACnE,MAAM,CAAC,MAAM,SAAS,GAClB,gBAAgB,CAAC,SAAS,EAAE,aAAa,EAAE,IAAI,CAAC,iBAAiB,EAAE,MAAM,CAAC,CAAC;AAE/E,MAAM,CAAC,MAAM,eAAe,GAAiB;IAC3C,UAAU,EAAE,SAAS;IACrB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,SAAS;CACtB,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, LogicalOr} from '@tensorflow/tfjs-core';\n\nimport {createSimpleBinaryKernelImpl} from '../utils/binary_impl';\nimport {binaryKernelFunc} from '../utils/binary_utils';\n\nexport const logicalOrImpl =\n    createSimpleBinaryKernelImpl((a: number, b: number) => a || b);\nexport const logicalOr =\n    binaryKernelFunc(LogicalOr, logicalOrImpl, null /* complexImpl */, 'bool');\n\nexport const logicalOrConfig: KernelConfig = {\n  kernelName: LogicalOr,\n  backendName: 'cpu',\n  kernelFunc: logicalOr\n};\n"]}
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