/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES 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
};
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