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Max.ts
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Max.ts
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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 {KernelFunc, Max, MaxAttrs, MaxInputs, TensorInfo} from '@tensorflow/tfjs-core';
import {backend_util, KernelConfig} from '@tensorflow/tfjs-core';
import {TypedArray, util} from '@tensorflow/tfjs-core';
import {MathBackendCPU} from '../backend_cpu';
import {assertNotComplex} from '../cpu_util';
import {maxImpl} from './Max_impl';
import {transposeImpl} from './Transpose_impl';
export function max(
args: {inputs: MaxInputs, backend: MathBackendCPU, attrs: MaxAttrs}):
TensorInfo {
const {inputs, backend, attrs} = args;
const {x} = inputs;
const {reductionIndices, keepDims} = attrs;
const cpuBackend = backend;
let xShape = x.shape;
const xRank = xShape.length;
const origAxes = util.parseAxisParam(reductionIndices, xShape);
let axes = origAxes;
const permutedAxes = backend_util.getAxesPermutation(axes, xRank);
let xVals = cpuBackend.data.get(x.dataId).values as TypedArray;
if (permutedAxes != null) {
const newShape: number[] = new Array(xRank);
for (let i = 0; i < newShape.length; i++) {
newShape[i] = xShape[permutedAxes[i]];
}
xVals = transposeImpl(xVals, xShape, x.dtype, permutedAxes, newShape);
axes = backend_util.getInnerMostAxes(axes.length, xRank);
xShape = newShape;
}
assertNotComplex(x, 'max');
backend_util.assertAxesAreInnerMostDims('max', axes, xRank);
const [maxOutShape, reduceShape] =
backend_util.computeOutAndReduceShapes(xShape, axes);
const reduceSize = util.sizeFromShape(reduceShape);
const result = maxImpl(xVals, reduceSize, maxOutShape, x.dtype);
const dataId = cpuBackend.write(result, maxOutShape, x.dtype);
let outShape = maxOutShape;
if (keepDims) {
// reshape
const newShape = backend_util.expandShapeToKeepDim(maxOutShape, origAxes);
outShape = newShape;
}
return {dataId, shape: outShape, dtype: x.dtype};
}
export const maxConfig: KernelConfig = {
kernelName: Max,
backendName: 'cpu',
kernelFunc: max as unknown as KernelFunc
};