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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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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 * as axis_util from '../ops/axis_util'; import { cast } from '../ops/cast'; import { equal } from '../ops/equal'; import { mul } from '../ops/mul'; import { reshape } from '../ops/reshape'; /** * Gradient helper function for the min and max operations. */ export function gradForMinAndMax(dy, y, xOrig, origAxes) { if (y.rank < xOrig.rank) { y = reshape(y, axis_util.expandShapeToKeepDim(y.shape, origAxes)); } if (dy.rank < xOrig.rank) { dy = reshape(dy, axis_util.expandShapeToKeepDim(dy.shape, origAxes)); } return { x: () => { const dx = mul(dy, cast(equal(xOrig, y), dy.dtype)); return dx; } }; } //# sourceMappingURL=min_max_grad_util.js.map