/**
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* @license
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* Copyright 2020 Google Inc. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import {SquaredDifference} from '../kernel_names';
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import {GradConfig} from '../kernel_registry';
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import {mul, sub} from '../ops/binary_ops';
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import {scalar} from '../ops/tensor_ops';
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import {Tensor} from '../tensor';
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export const squaredDifferenceGradConfig: GradConfig = {
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kernelName: SquaredDifference,
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gradFunc: (dy: Tensor, saved: Tensor[]) => {
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const [a, b] = saved;
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const two = scalar(2);
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const derA = () => mul(dy, mul(two, sub(a, b)));
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const derB = () => mul(dy, mul(two, sub(b, a)));
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return {a: derA, b: derB};
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}
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};
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