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2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES 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, Prod, sumOutType, util } from '@tensorflow/tfjs-core';
import { reduce } from '../kernel_utils/reduce';
import { prodImplCPU } from '../kernel_utils/shared';
import { reshape } from './Reshape';
import { transpose } from './Transpose';
export function prod(args) {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { axis, keepDims } = attrs;
    const xRank = x.shape.length;
    const toDispose = [];
    const origAxes = util.parseAxisParam(axis, x.shape);
    let axes = origAxes;
    const permutedAxes = backend_util.getAxesPermutation(axes, xRank);
    let permutedX = x;
    if (permutedAxes != null) {
        permutedX = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
        axes = backend_util.getInnerMostAxes(axes.length, xRank);
        toDispose.push(permutedX);
    }
    backend_util.assertAxesAreInnerMostDims('prod', axes, xRank);
    let res;
    if (backend.shouldExecuteOnCPU([permutedX])) {
        const xVals = backend.texData.get(permutedX.dataId).values;
        const { outVals, outShape, outDtype } = prodImplCPU(permutedX.shape, permutedX.dtype, xVals, axes);
        res = backend.makeTensorInfo(outShape, outDtype, outVals);
    }
    else {
        const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes(permutedX.shape, axes);
        const inSize = util.sizeFromShape(reduceShape);
        const a2D = reshape({ inputs: { x: permutedX }, backend, attrs: { shape: [-1, inSize] } });
        const outputDType = sumOutType(x.dtype);
        const reduced = reduce(a2D, outputDType, 'prod', backend);
        res = reshape({ inputs: { x: reduced }, backend, attrs: { shape: outShape } });
        toDispose.push(a2D);
        toDispose.push(reduced);
    }
    if (keepDims) {
        toDispose.push(res);
        const newShape = backend_util.expandShapeToKeepDim(res.shape, origAxes);
        res = reshape({ inputs: { x: res }, backend, attrs: { shape: newShape } });
    }
    toDispose.forEach(t => backend.disposeIntermediateTensorInfo(t));
    return res;
}
export const prodConfig = {
    kernelName: Prod,
    backendName: 'webgl',
    kernelFunc: prod
};
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