@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
45 lines • 1.78 kB
JavaScript
;
/**
* @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.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var kernel_names_1 = require("../kernel_names");
exports.broadcastToGradConfig = {
kernelName: kernel_names_1.BroadcastTo,
gradFunc: function (dy, saved, attrs) {
var broadCastToAttrs = attrs;
var inputShape = broadCastToAttrs.inputShape;
var outputShape = broadCastToAttrs.shape;
var reps = Array.from(outputShape);
for (var i = inputShape.length - 1; i >= 0; i--) {
if (inputShape[i] === outputShape[i]) {
reps[i] = 1;
}
else if (inputShape[i] !== 1) {
throw new Error("broadcastTo(): [" + inputShape + "] cannot be broadcast to [" + outputShape + "].");
}
}
var axes = [];
for (var i = 0; i < reps.length; i++) {
if (reps[i] > 1) {
axes.push(i);
}
}
var keepDims = true;
return { x: function () { return dy.sum(axes, keepDims); } };
}
};
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