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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 Inc. 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 { Sum } from '../kernel_names'; import { mul } from '../ops/mul'; import { ones } from '../ops/ones'; import { reshape } from '../ops/reshape'; import { parseAxisParam } from '../util'; export const sumGradConfig = { kernelName: Sum, inputsToSave: ['x'], gradFunc: (dy, saved, attrs) => { const [x] = saved; const expandedDyShape = x.shape.slice(); const { axis } = attrs; const axes = parseAxisParam(axis, x.shape); axes.forEach(axis => { expandedDyShape[axis] = 1; }); const expandedDy = reshape(dy, expandedDyShape); const derX = mul(expandedDy, ones(x.shape, 'float32')); return { x: () => derX }; } }; //# sourceMappingURL=Sum_grad.js.map