Revert "Add Back tfjs Source Files"

This reverts commit 8ca90466e4.
2021-05-25 11:05:23 -05:00
1 parent 42276e9c65
commit a08860d9fc
@@ -8,6 +8,6 @@ Projects/Superalgos/Icons/Thumbs.db
 *.bat
 !launch-windows.bat
 !create-shortcut-windows.bat
+!uninstall-shortcut-windows.bat
 *.exe
 node_modules
-!Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules
@@ -1 +0,0 @@
-../detect-libc/bin/detect-libc.js
@@ -1 +0,0 @@
-../mkdirp/bin/cmd.js
@@ -1 +0,0 @@
-../needle/bin/needle
@@ -1 +0,0 @@
-../node-pre-gyp/bin/node-pre-gyp
@@ -1 +0,0 @@
-../nopt/bin/nopt.js
@@ -1 +0,0 @@
-../nugget/bin.js
@@ -1 +0,0 @@
-../pretty-bytes/cli.js
@@ -1 +0,0 @@
-../rc/cli.js
@@ -1 +0,0 @@
-../rimraf/bin.js
@@ -1 +0,0 @@
-../semver/bin/semver
@@ -1 +0,0 @@
-../sshpk/bin/sshpk-conv
@@ -1 +0,0 @@
-../sshpk/bin/sshpk-sign
@@ -1 +0,0 @@
-../sshpk/bin/sshpk-verify
@@ -1 +0,0 @@
-../strip-indent/cli.js
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-../@tensorflow/tfjs/dist/tools/custom_module/cli.js
@@ -1 +0,0 @@
-../uuid/bin/uuid
@@ -1,37 +0,0 @@
-# Usage
-
-This package implements a JavaScript based CPU backend to TensorFlow.js.
-
-## Importing the backend
-
-Note: this backend is included by default in `@tensorflow/tfjs`.
-
-### Via NPM
-
-```js
-// Import @tensorflow/tfjs-core
-import * as tf from '@tensorflow/tfjs-core';
-// Adds the CPU backend to the global backend registry.
-import '@tensorflow/tfjs-backend-cpu';
-```
-
-### Via a script tag
-
-```html
-<!-- Import @tensorflow/tfjs-core -->
-<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core"></script>
-
-<!-- Adds the CPU backend to the global backend registry -->
-<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-cpu"></script>
-```
-
-You can also get ES2017 code using the following links
-
-```html
-<!-- Import @tensorflow/tfjs-core -->
-<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core@2.0.0-rc.4/dist/tf-core.es2017.js"></script>
-
-<!-- Adds the CPU backend to the global backend registry -->
-<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-cpu@2.0.0-rc.4/dist/tf-backend-cpu.es2017.js"></script>
-```
-
@@ -1,65 +0,0 @@
-/**
- * @license
- * Copyright 2017 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { backend_util, BackendTimingInfo, DataStorage, DataType, KernelBackend, Rank, Tensor, Tensor2D, TensorBuffer, TensorInfo } from '@tensorflow/tfjs-core';
-interface DataId {
-}
-export interface TensorData<D extends DataType> {
-    values?: backend_util.BackendValues;
-    dtype: D;
-    complexTensorInfos?: {
-        real: TensorInfo;
-        imag: TensorInfo;
-    };
-    refCount: number;
-}
-export declare class MathBackendCPU extends KernelBackend {
-    blockSize: number;
-    data: DataStorage<TensorData<DataType>>;
-    private firstUse;
-    constructor();
-    write(values: backend_util.BackendValues, shape: number[], dtype: DataType): DataId;
-    /**
-     * Create a data bucket in cpu backend.
-     * @param shape Shape of the `TensorInfo`.
-     * @param dtype DType of the `TensorInfo`.
-     * @param values The value of the `TensorInfo` stored as a flattened array.
-     */
-    makeTensorInfo(shape: number[], dtype: DataType, values?: backend_util.BackendValues | string[]): TensorInfo;
-    /** 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): 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;
-    disposeData(dataId: DataId): void;
-    disposeIntermediateTensorInfo(tensorInfo: TensorInfo): void;
-    time(f: () => void): Promise<BackendTimingInfo>;
-    memory(): {
-        unreliable: boolean;
-        reasons: string[];
-    };
-    where(condition: Tensor): Tensor2D;
-    dispose(): void;
-    floatPrecision(): 16 | 32;
-    /** Returns the smallest representable number.  */
-    epsilon(): number;
-}
-export {};
@@ -1,161 +0,0 @@
-/**
- * @license
- * Copyright 2017 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { backend_util, buffer, DataStorage, engine, env, kernel_impls, KernelBackend, util } from '@tensorflow/tfjs-core';
-const whereImpl = kernel_impls.whereImpl;
-import { assertNotComplex } from './cpu_util';
-export class MathBackendCPU extends KernelBackend {
-    constructor() {
-        super();
-        this.blockSize = 48;
-        this.firstUse = true;
-        this.data = new DataStorage(this, engine());
-    }
-    write(values, shape, dtype) {
-        if (this.firstUse) {
-            this.firstUse = false;
-            if (env().get('IS_NODE')) {
-                backend_util.warn('\n============================\n' +
-                    'Hi there 👋. Looks like you are running TensorFlow.js in ' +
-                    'Node.js. To speed things up dramatically, install our node ' +
-                    'backend, which binds to TensorFlow C++, by running ' +
-                    'npm i @tensorflow/tfjs-node, ' +
-                    'or npm i @tensorflow/tfjs-node-gpu if you have CUDA. ' +
-                    'Then call require(\'@tensorflow/tfjs-node\'); (-gpu ' +
-                    'suffix for CUDA) at the start of your program. ' +
-                    'Visit https://github.com/tensorflow/tfjs-node for more details.' +
-                    '\n============================');
-            }
-        }
-        const dataId = {};
-        this.data.set(dataId, { values, dtype, refCount: 1 });
-        return dataId;
-    }
-    /**
-     * Create a data bucket in cpu backend.
-     * @param shape Shape of the `TensorInfo`.
-     * @param dtype DType of the `TensorInfo`.
-     * @param values The value of the `TensorInfo` stored as a flattened array.
-     */
-    makeTensorInfo(shape, dtype, values) {
-        let outId;
-        if (dtype === 'string' && values != null && values.length > 0 &&
-            util.isString(values[0])) {
-            const encodedValues = values.map(d => util.encodeString(d));
-            outId = this.write(encodedValues, shape, dtype);
-        }
-        else {
-            outId = this.write(values, shape, dtype);
-        }
-        return { dataId: outId, shape, dtype };
-    }
-    /** Increase refCount of a `TensorData`. */
-    incRef(dataId) {
-        const tensorData = this.data.get(dataId);
-        tensorData.refCount++;
-    }
-    /** Decrease refCount of a `TensorData`. */
-    decRef(dataId) {
-        if (this.data.has(dataId)) {
-            const tensorData = this.data.get(dataId);
-            tensorData.refCount--;
-        }
-    }
-    move(dataId, values, shape, dtype) {
-        this.data.set(dataId, { values, dtype, refCount: 1 });
-    }
-    numDataIds() {
-        return this.data.numDataIds();
-    }
-    async read(dataId) {
-        return this.readSync(dataId);
-    }
-    readSync(dataId) {
-        const { dtype, complexTensorInfos } = this.data.get(dataId);
-        if (dtype === 'complex64') {
-            const realValues = this.readSync(complexTensorInfos.real.dataId);
-            const imagValues = this.readSync(complexTensorInfos.imag.dataId);
-            return backend_util.mergeRealAndImagArrays(realValues, imagValues);
-        }
-        return this.data.get(dataId).values;
-    }
-    bufferSync(t) {
-        const data = this.readSync(t.dataId);
-        let decodedData = data;
-        if (t.dtype === 'string') {
-            try {
-                // Decode the bytes into string.
-                decodedData = data.map(d => util.decodeString(d));
-            }
-            catch (_a) {
-                throw new Error('Failed to decode encoded string bytes into utf-8');
-            }
-        }
-        return buffer(t.shape, t.dtype, decodedData);
-    }
-    makeOutput(values, shape, dtype) {
-        const dataId = this.write(values, shape, dtype);
-        return engine().makeTensorFromDataId(dataId, shape, dtype, this);
-    }
-    disposeData(dataId) {
-        if (this.data.has(dataId)) {
-            const { complexTensorInfos } = this.data.get(dataId);
-            if (complexTensorInfos != null) {
-                this.disposeData(complexTensorInfos.real.dataId);
-                this.disposeData(complexTensorInfos.imag.dataId);
-            }
-            this.data.delete(dataId);
-        }
-    }
-    disposeIntermediateTensorInfo(tensorInfo) {
-        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();
-        f();
-        const kernelMs = util.now() - start;
-        return { kernelMs };
-    }
-    memory() {
-        return {
-            // Unreliable due to automatic gc. The numbers above are cumulative.
-            unreliable: true,
-            reasons: ['The reported memory is an upper bound. Due to automatic garbage ' +
-                    'collection, the true allocated memory may be less.']
-        };
-    }
-    where(condition) {
-        assertNotComplex([condition], 'where');
-        const condVals = this.readSync(condition.dataId);
-        return whereImpl(condition.shape, condVals);
-    }
-    dispose() { }
-    floatPrecision() {
-        return 32;
-    }
-    /** Returns the smallest representable number.  */
-    epsilon() {
-        return super.epsilon();
-    }
-}
-//# sourceMappingURL=backend_cpu.js.map
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Line truncated
@@ -1,20 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import * as shared from './shared';
-export { MathBackendCPU } from './backend_cpu';
-export { version as version_cpu } from './version';
-export { shared };
@@ -1,29 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-/*
- * base.ts contains all the exports from tfjs-backend-cpu
- * without auto-kernel registration
- */
-import { registerBackend } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from './backend_cpu';
-import * as shared from './shared';
-export { MathBackendCPU } from './backend_cpu';
-export { version as version_cpu } from './version';
-export { shared };
-// Side effects for default initialization of MathBackendCPU
-registerBackend('cpu', () => new MathBackendCPU(), 1 /* priority */);
-//# sourceMappingURL=base.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"base.js","sourceRoot":"","sources":["../src/base.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH;;;GAGG;AACH,OAAO,EAAC,eAAe,EAAC,MAAM,uBAAuB,CAAC;AACtD,OAAO,EAAC,cAAc,EAAC,MAAM,eAAe,CAAC;AAC7C,OAAO,KAAK,MAAM,MAAM,UAAU,CAAC;AAEnC,OAAO,EAAC,cAAc,EAAC,MAAM,eAAe,CAAC;AAC7C,OAAO,EAAC,OAAO,IAAI,WAAW,EAAC,MAAM,WAAW,CAAC;AACjD,OAAO,EAAC,MAAM,EAAC,CAAC;AAEhB,4DAA4D;AAC5D,eAAe,CAAC,KAAK,EAAE,GAAG,EAAE,CAAC,IAAI,cAAc,EAAE,EAAE,CAAC,CAAC,cAAc,CAAC,CAAC"}
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { TensorInfo } from '@tensorflow/tfjs-core';
-export declare function assertNotComplex(tensor: TensorInfo | TensorInfo[], opName: string): void;
@@ -1,28 +0,0 @@
-/**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { util } from '@tensorflow/tfjs-core';
-export function assertNotComplex(tensor, opName) {
-    if (!Array.isArray(tensor)) {
-        tensor = [tensor];
-    }
-    tensor.forEach(t => {
-        if (t != null) {
-            util.assert(t.dtype !== 'complex64', () => `${opName} does not support complex64 tensors in the CPU backend.`);
-        }
-    });
-}
-//# sourceMappingURL=cpu_util.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"cpu_util.js","sourceRoot":"","sources":["../src/cpu_util.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAa,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,UAAU,gBAAgB,CAC5B,MAA+B,EAAE,MAAc;IACjD,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE;QAC1B,MAAM,GAAG,CAAC,MAAM,CAAC,CAAC;KACnB;IACD,MAAM,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE;QACjB,IAAI,CAAC,IAAI,IAAI,EAAE;YACb,IAAI,CAAC,MAAM,CACP,CAAC,CAAC,KAAK,KAAK,WAAW,EACvB,GAAG,EAAE,CAAC,GACF,MAAM,yDAAyD,CAAC,CAAC;SAC1E;IACH,CAAC,CAAC,CAAC;AACL,CAAC"}
@@ -1,18 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-export * from './base';
-import './register_all_kernels';
@@ -1,20 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-// All exports from this package should be in base.
-export * from './base';
-import './register_all_kernels';
-//# sourceMappingURL=index.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,mDAAmD;AACnD,cAAc,QAAQ,CAAC;AACvB,OAAO,wBAAwB,CAAC"}
@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig, TypedArray } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function simpleAbsImpl(vals: TypedArray): Float32Array;
-export declare const abs: (args: {
-    inputs: Pick<import("@tensorflow/tfjs-core").NamedTensorInfoMap, "x">;
-    backend: MathBackendCPU;
-}) => import("@tensorflow/tfjs-core").Tensor<import("@tensorflow/tfjs-core").Rank>;
-export declare const absConfig: KernelConfig;
@@ -1,40 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Abs, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-export function simpleAbsImpl(vals) {
-    const resultValues = new Float32Array(vals.length);
-    for (let i = 0; i < vals.length; ++i) {
-        resultValues[i] = Math.abs(vals[i]);
-    }
-    return resultValues;
-}
-export const abs = (args) => {
-    const { x } = args.inputs;
-    const cpuBackend = args.backend;
-    assertNotComplex(x, 'abs');
-    let resultValues = new Float32Array(util.sizeFromShape(x.shape));
-    const values = cpuBackend.data.get(x.dataId).values;
-    resultValues = simpleAbsImpl(values);
-    return cpuBackend.makeOutput(resultValues, x.shape, 'float32');
-};
-export const absConfig = {
-    kernelName: Abs,
-    backendName: 'cpu',
-    kernelFunc: abs,
-};
-//# sourceMappingURL=Abs.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"Abs.js","sourceRoot":"","sources":["../../src/kernels/Abs.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAmD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAGjG,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAE7C,MAAM,UAAU,aAAa,CAAC,IAAgB;IAC5C,MAAM,YAAY,GAAG,IAAI,YAAY,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC;IACnD,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,YAAY,CAAC,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC;KACrC;IACD,OAAO,YAAY,CAAC;AACtB,CAAC;AAED,MAAM,CAAC,MAAM,GAAG,GAAG,CAAC,IAAkD,EAAE,EAAE;IACxE,MAAM,EAAC,CAAC,EAAC,GAAG,IAAI,CAAC,MAAM,CAAC;IACxB,MAAM,UAAU,GAAG,IAAI,CAAC,OAAO,CAAC;IAEhC,gBAAgB,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC;IAE3B,IAAI,YAAY,GAAG,IAAI,YAAY,CAAC,IAAI,CAAC,aAAa,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC;IACjE,MAAM,MAAM,GAAG,UAAU,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAClE,YAAY,GAAG,aAAa,CAAC,MAAM,CAAC,CAAC;IAErC,OAAO,UAAU,CAAC,UAAU,CAAC,YAAY,EAAE,CAAC,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC;AACjE,CAAC,CAAC;AAEF,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAuB;CACpC,CAAC"}
@@ -1,19 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const acos: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const acosConfig: KernelConfig;
@@ -1,25 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Acos } from '@tensorflow/tfjs-core';
-import { unaryKernelFunc } from '../utils/unary_utils';
-export const acos = unaryKernelFunc(Acos, (xi) => Math.acos(xi));
-export const acosConfig = {
-    kernelName: Acos,
-    backendName: 'cpu',
-    kernelFunc: acos,
-};
-//# sourceMappingURL=Acos.js.map
@@ -1 +0,0 @@
-{"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"}
@@ -1,19 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const acosh: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const acoshConfig: KernelConfig;
@@ -1,25 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Acosh } from '@tensorflow/tfjs-core';
-import { unaryKernelFunc } from '../utils/unary_utils';
-export const acosh = unaryKernelFunc(Acosh, (xi) => Math.acosh(xi));
-export const acoshConfig = {
-    kernelName: Acosh,
-    backendName: 'cpu',
-    kernelFunc: acosh,
-};
-//# sourceMappingURL=Acosh.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"Acosh.js","sourceRoot":"","sources":["../../src/kernels/Acosh.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"}
@@ -1,21 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const addImpl: import("../shared").SimpleBinaryKernelImpl;
-export declare const addComplexImpl: import("../shared").ComplexBinaryKernelImpl;
-export declare const add: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const addConfig: KernelConfig;
@@ -1,30 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Add } from '@tensorflow/tfjs-core';
-import { createSimpleBinaryKernelImpl } from '../utils/binary_impl';
-import { binaryKernelFunc, createComplexBinaryKernelImpl } from '../utils/binary_utils';
-export const addImpl = createSimpleBinaryKernelImpl(((a, b) => a + b));
-export const addComplexImpl = createComplexBinaryKernelImpl(((aReal, aImag, bReal, bImag) => {
-    return { real: aReal + bReal, imag: aImag + bImag };
-}));
-export const add = binaryKernelFunc(Add, addImpl, addComplexImpl);
-export const addConfig = {
-    kernelName: Add,
-    backendName: 'cpu',
-    kernelFunc: add
-};
-//# sourceMappingURL=Add.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"Add.js","sourceRoot":"","sources":["../../src/kernels/Add.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAe,MAAM,uBAAuB,CAAC;AAExD,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAE,6BAA6B,EAAC,MAAM,uBAAuB,CAAC;AAEtF,MAAM,CAAC,MAAM,OAAO,GAAG,4BAA4B,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC;AACvE,MAAM,CAAC,MAAM,cAAc,GACvB,6BAA6B,CAAC,CAAC,CAAC,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,EAAE;IAC5D,OAAO,EAAC,IAAI,EAAE,KAAK,GAAG,KAAK,EAAE,IAAI,EAAE,KAAK,GAAG,KAAK,EAAC,CAAC;AACpD,CAAC,CAAC,CAAC,CAAC;AAER,MAAM,CAAC,MAAM,GAAG,GAAG,gBAAgB,CAAC,GAAG,EAAE,OAAO,EAAE,cAAc,CAAC,CAAC;AAElE,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAG;CAChB,CAAC"}
@@ -1,23 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AddNInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function addN(args: {
-    inputs: AddNInputs;
-    backend: MathBackendCPU;
-}): TensorInfo;
-export declare const addNConfig: KernelConfig;
@@ -1,39 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AddN, buffer } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-export function addN(args) {
-    const { inputs, backend } = args;
-    const tensors = inputs;
-    assertNotComplex(inputs, 'addN');
-    const vals = tensors.map(t => backend.data.get(t.dataId).values);
-    const outBuf = buffer(tensors[0].shape, tensors[0].dtype);
-    const outVals = outBuf.values;
-    for (let i = 0; i < tensors.length; i++) {
-        const currVals = vals[i];
-        for (let j = 0; j < outVals.length; j++) {
-            outVals[j] += currVals[j];
-        }
-    }
-    return backend.makeTensorInfo(outBuf.shape, outBuf.dtype, outBuf.values);
-}
-export const addNConfig = {
-    kernelName: AddN,
-    backendName: 'cpu',
-    kernelFunc: addN
-};
-//# sourceMappingURL=AddN.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"AddN.js","sourceRoot":"","sources":["../../src/kernels/AddN.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAc,MAAM,EAA2D,MAAM,uBAAuB,CAAC;AAGzH,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAE7C,MAAM,UAAU,IAAI,CAAC,IAAmD;IAEtE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAC,GAAG,IAAI,CAAC;IAC/B,MAAM,OAAO,GAAG,MAAkB,CAAC;IAEnC,gBAAgB,CAAC,MAAM,EAAE,MAAM,CAAC,CAAC;IAEjC,MAAM,IAAI,GACN,OAAO,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC,CAAC;IACtE,MAAM,MAAM,GAAG,MAAM,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,KAAkB,CAAC,CAAC;IACvE,MAAM,OAAO,GAAG,MAAM,CAAC,MAAM,CAAC;IAC9B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,MAAM,EAAE,CAAC,EAAE,EAAE;QACvC,MAAM,QAAQ,GAAG,IAAI,CAAC,CAAC,CAAC,CAAC;QACzB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,MAAM,EAAE,CAAC,EAAE,EAAE;YACvC,OAAO,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,CAAC;SAC3B;KACF;IAED,OAAO,OAAO,CAAC,cAAc,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC;AAC3E,CAAC;AAED,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAwB;CACrC,CAAC"}
@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AllAttrs, AllInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function all(args: {
-    inputs: AllInputs;
-    backend: MathBackendCPU;
-    attrs: AllAttrs;
-}): TensorInfo;
-export declare const allConfig: KernelConfig;
@@ -1,65 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { All, backend_util, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { reshape } from './Reshape';
-import { transpose } from './Transpose';
-export function all(args) {
-    const { inputs, backend, attrs } = args;
-    const { x } = inputs;
-    const { axis, keepDims } = attrs;
-    assertNotComplex(x, 'all');
-    const origAxes = util.parseAxisParam(axis, x.shape);
-    let axes = origAxes;
-    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
-    let $x = x;
-    if (permutedAxes != null) {
-        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
-        axes = backend_util.getInnerMostAxes(axes.length, x.shape.length);
-    }
-    backend_util.assertAxesAreInnerMostDims('all', axes, $x.shape.length);
-    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
-    const reduceSize = util.sizeFromShape(reduceShape);
-    const vals = util.makeZerosTypedArray(util.sizeFromShape(outShape), $x.dtype);
-    const aVals = backend.data.get($x.dataId).values;
-    for (let i = 0; i < vals.length; ++i) {
-        const offset = i * reduceSize;
-        let all = aVals[offset];
-        for (let j = 0; j < reduceSize; ++j) {
-            const value = aVals[offset + j];
-            all = all && value;
-        }
-        vals[i] = all;
-    }
-    if (permutedAxes != null) {
-        backend.disposeIntermediateTensorInfo($x);
-    }
-    const result = backend.makeTensorInfo(outShape, $x.dtype, vals);
-    if (keepDims) {
-        const expandedShape = backend_util.expandShapeToKeepDim(outShape, origAxes);
-        const reshapedResult = reshape({ inputs: { x: result }, backend, attrs: { shape: expandedShape } });
-        backend.disposeIntermediateTensorInfo(result);
-        return reshapedResult;
-    }
-    return result;
-}
-export const allConfig = {
-    kernelName: All,
-    backendName: 'cpu',
-    kernelFunc: all
-};
-//# sourceMappingURL=All.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"All.js","sourceRoot":"","sources":["../../src/kernels/All.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAuB,YAAY,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAGrI,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAC7C,OAAO,EAAC,OAAO,EAAC,MAAM,WAAW,CAAC;AAClC,OAAO,EAAC,SAAS,EAAC,MAAM,aAAa,CAAC;AAEtC,MAAM,UAAU,GAAG,CACf,IAAmE;IAErE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,IAAI,EAAE,QAAQ,EAAC,GAAG,KAAK,CAAC;IAE/B,gBAAgB,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC;IAE3B,MAAM,QAAQ,GAAG,IAAI,CAAC,cAAc,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC;IACpD,IAAI,IAAI,GAAG,QAAQ,CAAC;IACpB,MAAM,YAAY,GAAG,YAAY,CAAC,kBAAkB,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IAC3E,IAAI,EAAE,GAAG,CAAC,CAAC;IACX,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,EAAE,GAAG,SAAS,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,IAAI,EAAE,YAAY,EAAC,EAAC,CAAC,CAAC;QACpE,IAAI,GAAG,YAAY,CAAC,gBAAgB,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;KACnE;IAED,YAAY,CAAC,0BAA0B,CAAC,KAAK,EAAE,IAAI,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IACtE,MAAM,CAAC,QAAQ,EAAE,WAAW,CAAC,GACzB,YAAY,CAAC,yBAAyB,CAAC,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAC3D,MAAM,UAAU,GAAG,IAAI,CAAC,aAAa,CAAC,WAAW,CAAC,CAAC;IACnD,MAAM,IAAI,GAAG,IAAI,CAAC,mBAAmB,CAAC,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,CAAC;IAE9E,MAAM,KAAK,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAC/D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,CAAC,GAAG,UAAU,CAAC;QAC9B,IAAI,GAAG,GAAG,KAAK,CAAC,MAAM,CAAC,CAAC;QACxB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,UAAU,EAAE,EAAE,CAAC,EAAE;YACnC,MAAM,KAAK,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;YAChC,GAAG,GAAG,GAAG,IAAI,KAAK,CAAC;SACpB;QACD,IAAI,CAAC,CAAC,CAAC,GAAG,GAAG,CAAC;KACf;IAED,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,OAAO,CAAC,6BAA6B,CAAC,EAAE,CAAC,CAAC;KAC3C;IAED,MAAM,MAAM,GAAG,OAAO,CAAC,cAAc,CAAC,QAAQ,EAAE,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAEhE,IAAI,QAAQ,EAAE;QACZ,MAAM,aAAa,GAAG,YAAY,CAAC,oBAAoB,CAAC,QAAQ,EAAE,QAAQ,CAAC,CAAC;QAC5E,MAAM,cAAc,GAChB,OAAO,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAE,MAAM,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,KAAK,EAAE,aAAa,EAAC,EAAC,CAAC,CAAC;QAE3E,OAAO,CAAC,6BAA6B,CAAC,MAAM,CAAC,CAAC;QAE9C,OAAO,cAAc,CAAC;KACvB;IAED,OAAO,MAAM,CAAC;AAChB,CAAC;AAED,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAuB;CACpC,CAAC"}
@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AnyAttrs, AnyInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function any(args: {
-    inputs: AnyInputs;
-    backend: MathBackendCPU;
-    attrs: AnyAttrs;
-}): TensorInfo;
-export declare const anyConfig: KernelConfig;
@@ -1,65 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Any, backend_util, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { reshape } from './Reshape';
-import { transpose } from './Transpose';
-export function any(args) {
-    const { inputs, backend, attrs } = args;
-    const { x } = inputs;
-    const { axis, keepDims } = attrs;
-    assertNotComplex(x, 'any');
-    const origAxes = util.parseAxisParam(axis, x.shape);
-    let axes = origAxes;
-    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
-    let $x = x;
-    if (permutedAxes != null) {
-        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
-        axes = backend_util.getInnerMostAxes(axes.length, x.shape.length);
-    }
-    backend_util.assertAxesAreInnerMostDims('any', axes, $x.shape.length);
-    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
-    const reduceSize = util.sizeFromShape(reduceShape);
-    const vals = util.makeZerosTypedArray(util.sizeFromShape(outShape), $x.dtype);
-    const aVals = backend.data.get($x.dataId).values;
-    for (let i = 0; i < vals.length; ++i) {
-        const offset = i * reduceSize;
-        let anyVal = aVals[offset];
-        for (let j = 0; j < reduceSize; ++j) {
-            const value = aVals[offset + j];
-            anyVal = anyVal || value;
-        }
-        vals[i] = anyVal;
-    }
-    if (permutedAxes != null) {
-        backend.disposeIntermediateTensorInfo($x);
-    }
-    const result = backend.makeTensorInfo(outShape, $x.dtype, vals);
-    if (keepDims) {
-        const expandedShape = backend_util.expandShapeToKeepDim(outShape, origAxes);
-        const reshapedResult = reshape({ inputs: { x: result }, backend, attrs: { shape: expandedShape } });
-        backend.disposeIntermediateTensorInfo(result);
-        return reshapedResult;
-    }
-    return result;
-}
-export const anyConfig = {
-    kernelName: Any,
-    backendName: 'cpu',
-    kernelFunc: any
-};
-//# sourceMappingURL=Any.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"Any.js","sourceRoot":"","sources":["../../src/kernels/Any.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAuB,YAAY,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAGrI,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAC7C,OAAO,EAAC,OAAO,EAAC,MAAM,WAAW,CAAC;AAClC,OAAO,EAAC,SAAS,EAAC,MAAM,aAAa,CAAC;AAEtC,MAAM,UAAU,GAAG,CACf,IAAmE;IAErE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,IAAI,EAAE,QAAQ,EAAC,GAAG,KAAK,CAAC;IAE/B,gBAAgB,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC;IAE3B,MAAM,QAAQ,GAAG,IAAI,CAAC,cAAc,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC;IACpD,IAAI,IAAI,GAAG,QAAQ,CAAC;IACpB,MAAM,YAAY,GAAG,YAAY,CAAC,kBAAkB,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IAC3E,IAAI,EAAE,GAAG,CAAC,CAAC;IACX,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,EAAE,GAAG,SAAS,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,IAAI,EAAE,YAAY,EAAC,EAAC,CAAC,CAAC;QACpE,IAAI,GAAG,YAAY,CAAC,gBAAgB,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;KACnE;IAED,YAAY,CAAC,0BAA0B,CAAC,KAAK,EAAE,IAAI,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IACtE,MAAM,CAAC,QAAQ,EAAE,WAAW,CAAC,GACzB,YAAY,CAAC,yBAAyB,CAAC,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAC3D,MAAM,UAAU,GAAG,IAAI,CAAC,aAAa,CAAC,WAAW,CAAC,CAAC;IACnD,MAAM,IAAI,GAAG,IAAI,CAAC,mBAAmB,CAAC,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,CAAC;IAE9E,MAAM,KAAK,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAC/D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,CAAC,GAAG,UAAU,CAAC;QAC9B,IAAI,MAAM,GAAG,KAAK,CAAC,MAAM,CAAC,CAAC;QAC3B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,UAAU,EAAE,EAAE,CAAC,EAAE;YACnC,MAAM,KAAK,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;YAChC,MAAM,GAAG,MAAM,IAAI,KAAK,CAAC;SAC1B;QACD,IAAI,CAAC,CAAC,CAAC,GAAG,MAAM,CAAC;KAClB;IAED,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,OAAO,CAAC,6BAA6B,CAAC,EAAE,CAAC,CAAC;KAC3C;IAED,MAAM,MAAM,GAAG,OAAO,CAAC,cAAc,CAAC,QAAQ,EAAE,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAEhE,IAAI,QAAQ,EAAE;QACZ,MAAM,aAAa,GAAG,YAAY,CAAC,oBAAoB,CAAC,QAAQ,EAAE,QAAQ,CAAC,CAAC;QAC5E,MAAM,cAAc,GAChB,OAAO,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAE,MAAM,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,KAAK,EAAE,aAAa,EAAC,EAAC,CAAC,CAAC;QAE3E,OAAO,CAAC,6BAA6B,CAAC,MAAM,CAAC,CAAC;QAE9C,OAAO,cAAc,CAAC;KACvB;IAED,OAAO,MAAM,CAAC;AAChB,CAAC;AAED,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAuB;CACpC,CAAC"}
@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { ArgMaxAttrs, ArgMaxInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function argMax(args: {
-    inputs: ArgMaxInputs;
-    backend: MathBackendCPU;
-    attrs: ArgMaxAttrs;
-}): TensorInfo;
-export declare const argMaxConfig: KernelConfig;
@@ -1,62 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { ArgMax, backend_util, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { transpose } from './Transpose';
-export function argMax(args) {
-    const { inputs, backend, attrs } = args;
-    const { x } = inputs;
-    const { axis } = attrs;
-    assertNotComplex(x, 'argMax');
-    let axes = util.parseAxisParam(axis, x.shape);
-    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
-    let $x = x;
-    const intermediateTensorInfos = [];
-    if (permutedAxes != null) {
-        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
-        intermediateTensorInfos.push($x);
-        axes = backend_util.getInnerMostAxes(axes.length, $x.shape.length);
-    }
-    axes = [axes[0]];
-    backend_util.assertAxesAreInnerMostDims('argMax', axes, $x.shape.length);
-    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
-    const outSize = util.sizeFromShape(outShape);
-    const vals = util.makeZerosTypedArray(outSize, 'int32');
-    const reduceSize = util.sizeFromShape(reduceShape);
-    const aVals = backend.data.get($x.dataId).values;
-    for (let i = 0; i < vals.length; ++i) {
-        const offset = i * reduceSize;
-        let max = aVals[offset];
-        let maxIndex = 0;
-        for (let j = 0; j < reduceSize; ++j) {
-            const value = aVals[offset + j];
-            if (value > max) {
-                max = value;
-                maxIndex = j;
-            }
-        }
-        vals[i] = maxIndex;
-    }
-    intermediateTensorInfos.forEach(t => backend.disposeIntermediateTensorInfo(t));
-    return backend.makeTensorInfo(outShape, 'int32', vals);
-}
-export const argMaxConfig = {
-    kernelName: ArgMax,
-    backendName: 'cpu',
-    kernelFunc: argMax
-};
-//# sourceMappingURL=ArgMax.js.map
@@ -1 +0,0 @@
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@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { ArgMinAttrs, ArgMinInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function argMin(args: {
-    inputs: ArgMinInputs;
-    backend: MathBackendCPU;
-    attrs: ArgMinAttrs;
-}): TensorInfo;
-export declare const argMinConfig: KernelConfig;
@@ -1,62 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { ArgMin, backend_util, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { transpose } from './Transpose';
-export function argMin(args) {
-    const { inputs, backend, attrs } = args;
-    const { x } = inputs;
-    const { axis } = attrs;
-    assertNotComplex(x, 'argMin');
-    let axes = util.parseAxisParam(axis, x.shape);
-    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
-    let $x = x;
-    const intermediateTensorInfos = [];
-    if (permutedAxes != null) {
-        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
-        intermediateTensorInfos.push($x);
-        axes = backend_util.getInnerMostAxes(axes.length, $x.shape.length);
-    }
-    axes = [axes[0]];
-    backend_util.assertAxesAreInnerMostDims('argMin', axes, $x.shape.length);
-    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
-    const outSize = util.sizeFromShape(outShape);
-    const vals = util.makeZerosTypedArray(outSize, 'int32');
-    const reduceSize = util.sizeFromShape(reduceShape);
-    const aVals = backend.data.get($x.dataId).values;
-    for (let i = 0; i < vals.length; ++i) {
-        const offset = i * reduceSize;
-        let min = aVals[offset];
-        let minIndex = 0;
-        for (let j = 0; j < reduceSize; ++j) {
-            const value = aVals[offset + j];
-            if (value < min) {
-                min = value;
-                minIndex = j;
-            }
-        }
-        vals[i] = minIndex;
-    }
-    intermediateTensorInfos.forEach(t => backend.disposeIntermediateTensorInfo(t));
-    return backend.makeTensorInfo(outShape, 'int32', vals);
-}
-export const argMinConfig = {
-    kernelName: ArgMin,
-    backendName: 'cpu',
-    kernelFunc: argMin
-};
-//# sourceMappingURL=ArgMin.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"ArgMin.js","sourceRoot":"","sources":["../../src/kernels/ArgMin.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,MAAM,EAA6B,YAAY,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAG9I,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAC7C,OAAO,EAAC,SAAS,EAAC,MAAM,aAAa,CAAC;AAEtC,MAAM,UAAU,MAAM,CAClB,IAAyE;IAE3E,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,IAAI,EAAC,GAAG,KAAK,CAAC;IAErB,gBAAgB,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC;IAE9B,IAAI,IAAI,GAAG,IAAI,CAAC,cAAc,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC;IAC9C,MAAM,YAAY,GAAG,YAAY,CAAC,kBAAkB,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IAC3E,IAAI,EAAE,GAAG,CAAC,CAAC;IACX,MAAM,uBAAuB,GAAG,EAAE,CAAC;IACnC,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,EAAE,GAAG,SAAS,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,IAAI,EAAE,YAAY,EAAC,EAAC,CAAC,CAAC;QACpE,uBAAuB,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;QACjC,IAAI,GAAG,YAAY,CAAC,gBAAgB,CAAC,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;KACpE;IAED,IAAI,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC;IACjB,YAAY,CAAC,0BAA0B,CAAC,QAAQ,EAAE,IAAI,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IACzE,MAAM,CAAC,QAAQ,EAAE,WAAW,CAAC,GACzB,YAAY,CAAC,yBAAyB,CAAC,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAE3D,MAAM,OAAO,GAAG,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,CAAC;IAC7C,MAAM,IAAI,GAAG,IAAI,CAAC,mBAAmB,CAAC,OAAO,EAAE,OAAO,CAAC,CAAC;IACxD,MAAM,UAAU,GAAG,IAAI,CAAC,aAAa,CAAC,WAAW,CAAC,CAAC;IAEnD,MAAM,KAAK,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAC/D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,CAAC,GAAG,UAAU,CAAC;QAC9B,IAAI,GAAG,GAAG,KAAK,CAAC,MAAM,CAAC,CAAC;QACxB,IAAI,QAAQ,GAAG,CAAC,CAAC;QACjB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,UAAU,EAAE,EAAE,CAAC,EAAE;YACnC,MAAM,KAAK,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;YAChC,IAAI,KAAK,GAAG,GAAG,EAAE;gBACf,GAAG,GAAG,KAAK,CAAC;gBACZ,QAAQ,GAAG,CAAC,CAAC;aACd;SACF;QACD,IAAI,CAAC,CAAC,CAAC,GAAG,QAAQ,CAAC;KACpB;IAED,uBAAuB,CAAC,OAAO,CAC3B,CAAC,CAAC,EAAE,CAAC,OAAO,CAAC,6BAA6B,CAAC,CAAC,CAAC,CAAC,CAAC;IAEnD,OAAO,OAAO,CAAC,cAAc,CAAC,QAAQ,EAAE,OAAO,EAAE,IAAI,CAAC,CAAC;AACzD,CAAC;AAED,MAAM,CAAC,MAAM,YAAY,GAAiB;IACxC,UAAU,EAAE,MAAM;IAClB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,MAA0B;CACvC,CAAC"}
@@ -1,19 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const asin: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const asinConfig: KernelConfig;
@@ -1,25 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Asin } from '@tensorflow/tfjs-core';
-import { unaryKernelFunc } from '../utils/unary_utils';
-export const asin = unaryKernelFunc(Asin, (xi) => Math.asin(xi));
-export const asinConfig = {
-    kernelName: Asin,
-    backendName: 'cpu',
-    kernelFunc: asin,
-};
-//# sourceMappingURL=Asin.js.map
@@ -1 +0,0 @@
-{"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"}
@@ -1,19 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const asinh: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const asinhConfig: KernelConfig;
@@ -1,25 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Asinh } from '@tensorflow/tfjs-core';
-import { unaryKernelFunc } from '../utils/unary_utils';
-export const asinh = unaryKernelFunc(Asinh, (xi) => Math.asinh(xi));
-export const asinhConfig = {
-    kernelName: Asinh,
-    backendName: 'cpu',
-    kernelFunc: asinh,
-};
-//# sourceMappingURL=Asinh.js.map
@@ -1 +0,0 @@
-{"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"}
@@ -1,19 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const atan: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const atanConfig: KernelConfig;
@@ -1,25 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Atan } from '@tensorflow/tfjs-core';
-import { unaryKernelFunc } from '../utils/unary_utils';
-export const atan = unaryKernelFunc(Atan, (xi) => Math.atan(xi));
-export const atanConfig = {
-    kernelName: Atan,
-    backendName: 'cpu',
-    kernelFunc: atan,
-};
-//# sourceMappingURL=Atan.js.map
@@ -1 +0,0 @@
-{"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"}
@@ -1,20 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const atan2Impl: import("../shared").SimpleBinaryKernelImpl;
-export declare const atan2: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const atan2Config: KernelConfig;
@@ -1,27 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Atan2 } from '@tensorflow/tfjs-core';
-import { createSimpleBinaryKernelImpl } from '../utils/binary_impl';
-import { binaryKernelFunc } from '../utils/binary_utils';
-export const atan2Impl = createSimpleBinaryKernelImpl((aValue, bValue) => Math.atan2(aValue, bValue));
-export const atan2 = binaryKernelFunc(Atan2, atan2Impl);
-export const atan2Config = {
-    kernelName: Atan2,
-    backendName: 'cpu',
-    kernelFunc: atan2,
-};
-//# sourceMappingURL=Atan2.js.map
@@ -1 +0,0 @@
-{"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"}
@@ -1,19 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { KernelConfig } from '@tensorflow/tfjs-core';
-export declare const atanh: import("@tensorflow/tfjs-core").KernelFunc;
-export declare const atanhConfig: KernelConfig;
@@ -1,25 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Atanh } from '@tensorflow/tfjs-core';
-import { unaryKernelFunc } from '../utils/unary_utils';
-export const atanh = unaryKernelFunc(Atanh, (xi) => Math.atanh(xi));
-export const atanhConfig = {
-    kernelName: Atanh,
-    backendName: 'cpu',
-    kernelFunc: atanh,
-};
-//# sourceMappingURL=Atanh.js.map
@@ -1 +0,0 @@
-{"version":3,"file":"Atanh.js","sourceRoot":"","sources":["../../src/kernels/Atanh.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"}
@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPoolAttrs, AvgPoolInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function avgPool(args: {
-    inputs: AvgPoolInputs;
-    backend: MathBackendCPU;
-    attrs: AvgPoolAttrs;
-}): TensorInfo;
-export declare const avgPoolConfig: KernelConfig;
@@ -1,48 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPool, backend_util, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { pool } from '../utils/pool_utils';
-import { identity } from './Identity';
-export function avgPool(args) {
-    const { inputs, backend, attrs } = args;
-    const { x } = inputs;
-    assertNotComplex(x, 'avgPool');
-    const { filterSize, strides, pad, dimRoundingMode } = attrs;
-    const dilations = 1;
-    util.assert(backend_util.eitherStridesOrDilationsAreOne(strides, dilations), () => 'Error in avgPool: Either strides or dilations must be 1. ' +
-        `Got strides ${strides} and dilations '${dilations}'`);
-    const convInfo = backend_util.computePool2DInfo(x.shape, filterSize, strides, dilations, pad, dimRoundingMode);
-    let res;
-    if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&
-        util.arraysEqual(convInfo.inShape, convInfo.outShape)) {
-        res = identity({ inputs: { x }, backend });
-    }
-    else {
-        const xValues = backend.data.get(x.dataId).values;
-        const strides = util.computeStrides(x.shape);
-        const buffer = pool(xValues, x.shape, x.dtype, strides, convInfo, 'avg');
-        res = backend.makeTensorInfo(convInfo.outShape, x.dtype, buffer.values);
-    }
-    return res;
-}
-export const avgPoolConfig = {
-    kernelName: AvgPool,
-    backendName: 'cpu',
-    kernelFunc: avgPool
-};
-//# sourceMappingURL=AvgPool.js.map
@@ -1 +0,0 @@
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@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPool3DAttrs, AvgPool3DInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function avgPool3D(args: {
-    inputs: AvgPool3DInputs;
-    backend: MathBackendCPU;
-    attrs: AvgPool3DAttrs;
-}): TensorInfo;
-export declare const avgPool3DConfig: KernelConfig;
@@ -1,35 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPool3D, backend_util, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { pool3d } from '../utils/pool_utils';
-export function avgPool3D(args) {
-    const { inputs, backend, attrs } = args;
-    const { x } = inputs;
-    const { filterSize, strides, pad, dimRoundingMode, dataFormat } = attrs;
-    assertNotComplex(x, 'avgPool3d');
-    const convInfo = backend_util.computePool3DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode, dataFormat);
-    const xValues = backend.data.get(x.dataId).values;
-    const outBuf = pool3d(xValues, x.shape, x.dtype, util.computeStrides(x.shape), convInfo, 'avg');
-    return backend.makeTensorInfo(outBuf.shape, 'float32', outBuf.values);
-}
-export const avgPool3DConfig = {
-    kernelName: AvgPool3D,
-    backendName: 'cpu',
-    kernelFunc: avgPool3D
-};
-//# sourceMappingURL=AvgPool3D.js.map
@@ -1 +0,0 @@
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@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPool3DGradAttrs, AvgPool3DGradInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function avgPool3DGrad(args: {
-    inputs: AvgPool3DGradInputs;
-    backend: MathBackendCPU;
-    attrs: AvgPool3DGradAttrs;
-}): TensorInfo;
-export declare const avgPool3DGradConfig: KernelConfig;
@@ -1,89 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPool3DGrad, backend_util, buffer } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-export function avgPool3DGrad(args) {
-    const { inputs, backend, attrs } = args;
-    const { dy, input } = inputs;
-    const { filterSize, strides, pad, dimRoundingMode } = attrs;
-    assertNotComplex([dy, input], 'avgPool3DGrad');
-    const convInfo = backend_util.computePool3DInfo(input.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode);
-    const strideDepth = convInfo.strideDepth;
-    const strideHeight = convInfo.strideHeight;
-    const strideWidth = convInfo.strideWidth;
-    const filterDepth = convInfo.filterDepth;
-    const filterHeight = convInfo.filterHeight;
-    const filterWidth = convInfo.filterWidth;
-    const dilationDepth = convInfo.dilationDepth;
-    const dilationHeight = convInfo.dilationHeight;
-    const dilationWidth = convInfo.dilationWidth;
-    const effectiveFilterDepth = convInfo.effectiveFilterDepth;
-    const effectiveFilterHeight = convInfo.effectiveFilterHeight;
-    const effectiveFilterWidth = convInfo.effectiveFilterWidth;
-    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;
-    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;
-    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;
-    const dx = buffer(input.shape, 'float32');
-    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);
-    const dyBuf = backend.bufferSync(dy);
-    for (let batch = 0; batch < convInfo.batchSize; ++batch) {
-        for (let channel = 0; channel < convInfo.inChannels; ++channel) {
-            for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {
-                for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {
-                    for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {
-                        // Shader code begins.
-                        const dyDepthCorner = dxDepth - padFront;
-                        const dyRowCorner = dxRow - padTop;
-                        const dyColCorner = dxCol - padLeft;
-                        let dotProd = 0;
-                        for (let wDepth = 0; wDepth < effectiveFilterDepth; wDepth += dilationDepth) {
-                            const dyDepth = (dyDepthCorner + wDepth) / strideDepth;
-                            if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||
-                                Math.floor(dyDepth) !== dyDepth) {
-                                continue;
-                            }
-                            for (let wRow = 0; wRow < effectiveFilterHeight; wRow += dilationHeight) {
-                                const dyRow = (dyRowCorner + wRow) / strideHeight;
-                                if (dyRow < 0 || dyRow >= convInfo.outHeight ||
-                                    Math.floor(dyRow) !== dyRow) {
-                                    continue;
-                                }
-                                for (let wCol = 0; wCol < effectiveFilterWidth; wCol += dilationWidth) {
-                                    const dyCol = (dyColCorner + wCol) / strideWidth;
-                                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||
-                                        Math.floor(dyCol) !== dyCol) {
-                                        continue;
-                                    }
-                                    const pixel = dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);
-                                    dotProd += pixel;
-                                }
-                            }
-                        }
-                        dx.set(dotProd * avgMultiplier, batch, dxDepth, dxRow, dxCol, channel);
-                    }
-                }
-            }
-        }
-    }
-    return backend.makeTensorInfo(dx.shape, dx.dtype, dx.values);
-}
-export const avgPool3DGradConfig = {
-    kernelName: AvgPool3DGrad,
-    backendName: 'cpu',
-    kernelFunc: avgPool3DGrad
-};
-//# sourceMappingURL=AvgPool3DGrad.js.map
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@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPoolGradAttrs, AvgPoolGradInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function avgPoolGrad(args: {
-    inputs: AvgPoolGradInputs;
-    backend: MathBackendCPU;
-    attrs: AvgPoolGradAttrs;
-}): TensorInfo;
-export declare const avgPoolGradConfig: KernelConfig;
@@ -1,76 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { AvgPoolGrad, backend_util, buffer } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-export function avgPoolGrad(args) {
-    const { inputs, backend, attrs } = args;
-    const { dy, input } = inputs;
-    const x = input;
-    assertNotComplex([dy, input], 'avgPoolGrad');
-    const { filterSize, strides, pad } = attrs;
-    const convInfo = backend_util.computePool2DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad);
-    const strideHeight = convInfo.strideHeight;
-    const strideWidth = convInfo.strideWidth;
-    const filterHeight = convInfo.filterHeight;
-    const filterWidth = convInfo.filterWidth;
-    const dilationHeight = convInfo.dilationHeight;
-    const dilationWidth = convInfo.dilationWidth;
-    const effectiveFilterHeight = convInfo.effectiveFilterHeight;
-    const effectiveFilterWidth = convInfo.effectiveFilterWidth;
-    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;
-    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;
-    const dx = buffer(x.shape, 'float32');
-    const avgMultiplier = 1 / (filterHeight * filterWidth);
-    const dyData = backend.data.get(dy.dataId).values;
-    const dyBuf = buffer(dy.shape, 'float32', dyData);
-    for (let b = 0; b < convInfo.batchSize; ++b) {
-        for (let d = 0; d < convInfo.inChannels; ++d) {
-            for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {
-                for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {
-                    // Shader code begins.
-                    const dyRCorner = dxR - padTop;
-                    const dyCCorner = dxC - padLeft;
-                    let dotProd = 0;
-                    for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {
-                        const dyR = (dyRCorner + wR) / strideHeight;
-                        if (dyR < 0 || dyR >= convInfo.outHeight ||
-                            Math.floor(dyR) !== dyR) {
-                            continue;
-                        }
-                        for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {
-                            const dyC = (dyCCorner + wC) / strideWidth;
-                            if (dyC < 0 || dyC >= convInfo.outWidth ||
-                                Math.floor(dyC) !== dyC) {
-                                continue;
-                            }
-                            const pixel = dyBuf.get(b, dyR, dyC, d);
-                            dotProd += pixel;
-                        }
-                    }
-                    dx.set(dotProd * avgMultiplier, b, dxR, dxC, d);
-                }
-            }
-        }
-    }
-    return backend.makeTensorInfo(dx.shape, dx.dtype, dx.values);
-}
-export const avgPoolGradConfig = {
-    kernelName: AvgPoolGrad,
-    backendName: 'cpu',
-    kernelFunc: avgPoolGrad
-};
-//# sourceMappingURL=AvgPoolGrad.js.map
@@ -1 +0,0 @@
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@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { BatchMatMulAttrs, BatchMatMulInputs, KernelConfig } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function batchMatMul(args: {
-    inputs: BatchMatMulInputs;
-    attrs: BatchMatMulAttrs;
-    backend: MathBackendCPU;
-}): import("@tensorflow/tfjs-core").TensorInfo;
-export declare const batchMatMulConfig: KernelConfig;
@@ -1,105 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { BatchMatMul, buffer, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { reshape } from './Reshape';
-export function batchMatMul(args) {
-    const { inputs, backend, attrs } = args;
-    const { a, b } = inputs;
-    const { transposeA, transposeB } = attrs;
-    assertNotComplex([a, b], 'matMul');
-    const aRank = a.shape.length;
-    const bRank = b.shape.length;
-    const innerShapeA = transposeA ? a.shape[aRank - 2] : a.shape[aRank - 1];
-    const innerShapeB = transposeB ? b.shape[bRank - 1] : b.shape[bRank - 2];
-    const outerShapeA = transposeA ? a.shape[aRank - 1] : a.shape[aRank - 2];
-    const outerShapeB = transposeB ? b.shape[bRank - 2] : b.shape[bRank - 1];
-    const outerDimsA = a.shape.slice(0, -2);
-    const outerDimsB = b.shape.slice(0, -2);
-    const batchDimA = util.sizeFromShape(outerDimsA);
-    const batchDimB = util.sizeFromShape(outerDimsB);
-    const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1;
-    util.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the ` +
-        `same or at least one input batch dimension must be 1. Got input ` +
-        `batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
-    const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
-    const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
-    util.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (` +
-        `${innerShapeB}) of Tensors with shapes ${a.shape} and ` +
-        `${b.shape} and transposeA=${transposeA}` +
-        ` and transposeB=${transposeB} must match.`);
-    const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] :
-        [batchDimA, outerShapeA, innerShapeA];
-    const b3dShape = transposeB ? [batchDimB, outerShapeB, innerShapeB] :
-        [batchDimB, innerShapeB, outerShapeB];
-    // The rest of the implementation is designed to operate on rank-3 tensors
-    const a3d = reshape({ inputs: { x: a }, backend, attrs: { shape: a3dShape } });
-    const b3d = reshape({ inputs: { x: b }, backend, attrs: { shape: b3dShape } });
-    const sharedDim = transposeA ? a3d.shape[1] : a3d.shape[2];
-    const leftDim = transposeA ? a3d.shape[2] : a3d.shape[1];
-    const rightDim = transposeB ? b3d.shape[1] : b3d.shape[2];
-    const batchDim = Math.max(batchDimA, batchDimB);
-    const a3dValues = backend.data.get(a3d.dataId).values;
-    const b3dValues = backend.data.get(b3d.dataId).values;
-    const a3dStrides = util.computeStrides(a3d.shape);
-    const b3dStrides = util.computeStrides(b3d.shape);
-    const [aBatch, aOuterStep, aInnerStep] = transposeA ?
-        [a3dStrides[0], 1, a3dStrides[1]] :
-        [a3dStrides[0], a3dStrides[1], 1];
-    const [bInnerStep, bOuterStep, bBatch] = transposeB ?
-        [1, b3dStrides[1], b3dStrides[0]] :
-        [b3dStrides[1], 1, b3dStrides[0]];
-    const size = leftDim * rightDim;
-    const result = buffer([batchDim, leftDim, rightDim], a3d.dtype);
-    const resVals = result.values;
-    const blockSize = backend.blockSize;
-    for (let bi = 0; bi < batchDim; bi++) {
-        for (let i0 = 0; i0 < leftDim; i0 += blockSize) {
-            for (let j0 = 0; j0 < rightDim; j0 += blockSize) {
-                for (let k0 = 0; k0 < sharedDim; k0 += blockSize) {
-                    // for when blockSize doesn't evenly divide the input
-                    const iBlock = Math.min(i0 + blockSize, leftDim);
-                    const jBlock = Math.min(j0 + blockSize, rightDim);
-                    const kBlock = Math.min(k0 + blockSize, sharedDim);
-                    for (let i = i0; i < iBlock; i++) {
-                        for (let j = j0; j < jBlock; j++) {
-                            let sum = 0.0;
-                            for (let k = k0; k < kBlock; k++) {
-                                const batchOffsetA = Math.min(bi, batchDimA - 1) * aBatch;
-                                const batchOffsetB = Math.min(bi, batchDimB - 1) * bBatch;
-                                const aVal = a3dValues[batchOffsetA + i * aOuterStep + k * aInnerStep];
-                                const bVal = b3dValues[k * bInnerStep + j * bOuterStep + batchOffsetB];
-                                sum += aVal * bVal;
-                            }
-                            resVals[bi * size + (i * rightDim + j)] += sum;
-                        }
-                    }
-                }
-            }
-        }
-    }
-    backend.disposeIntermediateTensorInfo(a3d);
-    backend.disposeIntermediateTensorInfo(b3d);
-    // set correct shape on output.
-    return backend.makeTensorInfo(outShape, result.dtype, result.values);
-}
-export const batchMatMulConfig = {
-    kernelName: BatchMatMul,
-    backendName: 'cpu',
-    kernelFunc: batchMatMul,
-};
-//# sourceMappingURL=BatchMatMul.js.map
@@ -1 +0,0 @@
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truncated
@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { FusedBatchNormAttrs, FusedBatchNormInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function batchNorm(args: {
-    inputs: FusedBatchNormInputs;
-    backend: MathBackendCPU;
-    attrs: FusedBatchNormAttrs;
-}): TensorInfo;
-export declare const batchNormConfig: KernelConfig;
@@ -1,74 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { FusedBatchNorm, util } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-export function batchNorm(args) {
-    const { inputs, backend, attrs } = args;
-    const { x, scale, offset, mean, variance } = inputs;
-    util.assert(mean.shape.length === variance.shape.length, () => 'Batch normalization gradient requires mean and variance to have ' +
-        'equal ranks.');
-    util.assert(offset == null || mean.shape.length === offset.shape.length, () => 'Batch normalization gradient requires mean and offset to have ' +
-        'equal ranks.');
-    util.assert(scale == null || mean.shape.length === scale.shape.length, () => 'Batch normalization gradient requires mean and scale to have ' +
-        'equal ranks.');
-    assertNotComplex([x, mean, variance, scale, offset], 'batchNorm');
-    let { varianceEpsilon } = attrs;
-    if (varianceEpsilon == null) {
-        varianceEpsilon = 0.001;
-    }
-    const xVals = backend.data.get(x.dataId).values;
-    const mVals = backend.data.get(mean.dataId).values;
-    const varVals = backend.data.get(variance.dataId).values;
-    const sVals = scale ? backend.data.get(scale.dataId).values :
-        new Float32Array([1]);
-    const offVals = offset ?
-        backend.data.get(offset.dataId).values :
-        new Float32Array([0]);
-    const outVals = new Float32Array(xVals.length);
-    const offValsLength = offVals.length;
-    const sValsLength = sVals.length;
-    const varValsLength = varVals.length;
-    const mValsLength = mVals.length;
-    let offi = 0;
-    let mi = 0;
-    let si = 0;
-    let vi = 0;
-    for (let i = 0; i < xVals.length; ++i) {
-        outVals[i] = offVals[offi++] +
-            (xVals[i] - mVals[mi++]) * sVals[si++] /
-                Math.sqrt(varVals[vi++] + varianceEpsilon);
-        if (offi >= offValsLength) {
-            offi = 0;
-        }
-        if (mi >= mValsLength) {
-            mi = 0;
-        }
-        if (si >= sValsLength) {
-            si = 0;
-        }
-        if (vi >= varValsLength) {
-            vi = 0;
-        }
-    }
-    return backend.makeTensorInfo(x.shape, x.dtype, outVals);
-}
-export const batchNormConfig = {
-    kernelName: FusedBatchNorm,
-    backendName: 'cpu',
-    kernelFunc: batchNorm,
-};
-//# sourceMappingURL=BatchNorm.js.map
@@ -1 +0,0 @@
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@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { BatchToSpaceNDAttrs, BatchToSpaceNDInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function batchToSpaceND(args: {
-    inputs: BatchToSpaceNDInputs;
-    backend: MathBackendCPU;
-    attrs: BatchToSpaceNDAttrs;
-}): TensorInfo;
-export declare const batchToSpaceNDConfig: KernelConfig;
@@ -1,51 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { backend_util, BatchToSpaceND } from '@tensorflow/tfjs-core';
-import { assertNotComplex } from '../cpu_util';
-import { reshape } from './Reshape';
-import { slice } from './Slice';
-import { transpose } from './Transpose';
-export function batchToSpaceND(args) {
-    const { inputs, backend, attrs } = args;
-    const { x } = inputs;
-    const { blockShape, crops } = attrs;
-    assertNotComplex([x], 'batchToSpaceND');
-    const prod = blockShape.reduce((a, b) => a * b);
-    const reshaped = backend_util.getReshaped(x.shape, blockShape, prod);
-    const permuted = backend_util.getPermuted(reshaped.length, blockShape.length);
-    const reshapedPermuted = backend_util.getReshapedPermuted(x.shape, blockShape, prod);
-    const sliceBeginCoords = backend_util.getSliceBeginCoords(crops, blockShape.length);
-    const sliceSize = backend_util.getSliceSize(reshapedPermuted, crops, blockShape.length);
-    const xReshaped = reshape({ inputs: { x }, backend, attrs: { shape: reshaped } });
-    const xTransposed = transpose({ inputs: { x: xReshaped }, backend, attrs: { perm: permuted } });
-    const xTransposedReshaped = reshape({ inputs: { x: xTransposed }, backend, attrs: { shape: reshapedPermuted } });
-    const result = slice({
-        inputs: { x: xTransposedReshaped },
-        backend,
-        attrs: { begin: sliceBeginCoords, size: sliceSize }
-    });
-    backend.disposeIntermediateTensorInfo(xReshaped);
-    backend.disposeIntermediateTensorInfo(xTransposed);
-    backend.disposeIntermediateTensorInfo(xTransposedReshaped);
-    return result;
-}
-export const batchToSpaceNDConfig = {
-    kernelName: BatchToSpaceND,
-    backendName: 'cpu',
-    kernelFunc: batchToSpaceND
-};
-//# sourceMappingURL=BatchToSpaceND.js.map
@@ -1 +0,0 @@
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@@ -1,24 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { BincountAttrs, BincountInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
-import { MathBackendCPU } from '../backend_cpu';
-export declare function bincount(args: {
-    inputs: BincountInputs;
-    backend: MathBackendCPU;
-    attrs: BincountAttrs;
-}): TensorInfo;
-export declare const bincountConfig: KernelConfig;
@@ -1,33 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { Bincount } from '@tensorflow/tfjs-core';
-import { bincountImpl } from './Bincount_impl';
-export function bincount(args) {
-    const { inputs, backend, attrs } = args;
-    const { x, weights } = inputs;
-    const { size } = attrs;
-    const xVals = backend.data.get(x.dataId).values;
-    const weightsVals = backend.data.get(weights.dataId).values;
-    const outVals = bincountImpl(xVals, weightsVals, weights.dtype, weights.shape, size);
-    return backend.makeTensorInfo([size], weights.dtype, outVals);
-}
-export const bincountConfig = {
-    kernelName: Bincount,
-    backendName: 'cpu',
-    kernelFunc: bincount
-};
-//# sourceMappingURL=Bincount.js.map
@@ -1 +0,0 @@
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@@ -1,19 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { DataType, Rank, TensorBuffer, TypedArray } from '@tensorflow/tfjs-core';
-export declare function bincountImpl(xVals: TypedArray, weightsVals: TypedArray, weightsDtype: DataType, weightsShape: number[], size: number): TypedArray;
-export declare function bincountReduceImpl<R extends Rank>(xBuf: TensorBuffer<R>, weightsBuf: TensorBuffer<R>, size: number, binaryOutput?: boolean): TensorBuffer<R>;
@@ -1,66 +0,0 @@
-/**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */
-import { buffer, util } from '@tensorflow/tfjs-core';
-export function bincountImpl(xVals, weightsVals, weightsDtype, weightsShape, size) {
-    const weightsSize = util.sizeFromShape(weightsShape);
-    const outVals = util.makeZerosTypedArray(size, weightsDtype);
-    for (let i = 0; i < xVals.length; i++) {
-        const value = xVals[i];
-        if (value < 0) {
-            throw new Error('Input x must be non-negative!');
-        }
-        if (value >= size) {
-            continue;
-        }
-        if (weightsSize > 0) {
-            outVals[value] += weightsVals[i];
-        }
-        else {
-            outVals[value] += 1;
-        }
-    }
-    return outVals;
-}
-export function bincountReduceImpl(xBuf, weightsBuf, size, binaryOutput = false) {
-    const numRows = xBuf.shape[0];
-    const numCols = xBuf.shape[1];
-    const outBuf = buffer([numRows, size], weightsBuf.dtype);
-    for (let i = 0; i < numRows; i++) {
-        for (let j = 0; j < numCols; j++) {
-            const value = xBuf.get(i, j);
-            if (value < 0) {
-                throw new Error('Input x must be non-negative!');
-            }
-            if (value >= size) {
-                continue;
-            }
-            if (binaryOutput) {
-                outBuf.set(1, i, value);
-            }
-            else {
-                if (weightsBuf.size > 0) {
-                    outBuf.set(outBuf.get(i, value) + weightsBuf.get(i, j), i, value);
-                }
-                else {
-                    outBuf.set(outBuf.get(i, value) + 1, i, value);
-                }
-            }
-        }
-    }
-    return outBuf;
-}
-//# sourceMappingURL=Bincount_impl.js.map
@@ -1 +0,0 @@
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				`@@ -1 +0,0 @@`
				`../@tensorflow/tfjs/dist/tools/custom_module/cli.js`
				`@@ -1 +0,0 @@`
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				`@@ -1 +0,0 @@`
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truncated
				`@@ -1 +0,0 @@`
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				`@@ -1 +0,0 @@`
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				`@@ -1 +0,0 @@`
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				`@@ -1 +0,0 @@`
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				`@@ -1 +0,0 @@`
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