@tensorflow/tfjs-core/src/gradients/Conv2DBackpropInput_grad.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @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 {Conv2DBackpropInput, Conv2DBackpropInputAttrs} from '../kernel_names';
import {GradConfig, NamedAttrMap} from '../kernel_registry';
import {conv2d} from '../ops/conv2d';
import {conv2DBackpropFilter} from '../ops/conv2d_backprop_filter';
import {Tensor, Tensor4D} from '../tensor';

export const conv2DBackpropInputGradConfig: GradConfig = {
  kernelName: Conv2DBackpropInput,
  inputsToSave: ['dy', 'filter'],
  gradFunc: (ddx: Tensor4D, saved: Tensor[], attrs: NamedAttrMap) => {
    const [dy, filter] = saved as [Tensor4D, Tensor4D];

    const {strides, pad, dataFormat, dimRoundingMode} =
        attrs as {} as Conv2DBackpropInputAttrs;

    return {
      dy: () => conv2d(
          ddx, filter, strides, pad, dataFormat, 1 /* dilations */,
          dimRoundingMode),
      filter: () => conv2DBackpropFilter(
          ddx, dy, filter.shape, strides, pad, dataFormat, dimRoundingMode)
    };
  }
};