@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
46 lines • 1.81 kB
JavaScript
/**
* @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 { Mean } from '../kernel_names';
import { computeOutAndReduceShapes } from '../ops/axis_util';
import { div } from '../ops/div';
import { mul } from '../ops/mul';
import { ones } from '../ops/ones';
import { reshape } from '../ops/reshape';
import * as util from '../util';
export const meanGradConfig = {
kernelName: Mean,
inputsToSave: ['x'],
gradFunc: (dy, saved, attrs) => {
const [x] = saved;
const { axis } = attrs;
const axes = util.parseAxisParam(axis, x.shape);
const shapes = computeOutAndReduceShapes(x.shape, axes);
const reduceShape = shapes[1];
const reduceSize = util.sizeFromShape(reduceShape);
const derX = () => {
const expandedDyShape = x.shape.slice();
axes.forEach(axis => {
expandedDyShape[axis] = 1;
});
const expandedDy = reshape(dy, expandedDyShape);
const res = div(mul(expandedDy, ones(x.shape, 'float32')), reduceSize);
return res;
};
return { x: derX };
}
};
//# sourceMappingURL=Mean_grad.js.map