@tensorflow/tfjs-node/src/kernels/Conv3DBackpropFilterV2.ts

This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).

/**
 * @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 {backend_util, Conv3DBackpropFilterV2, Conv3DBackpropFilterV2Attrs, Conv3DBackpropFilterV2Inputs, KernelConfig, tensor1d} from '@tensorflow/tfjs';

import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';

export const conv3DBackpropFilterV2Config: KernelConfig = {
  kernelName: Conv3DBackpropFilterV2,
  backendName: 'tensorflow',
  kernelFunc: (args) => {
    const {x, dy} = args.inputs as Conv3DBackpropFilterV2Inputs;
    const backend = args.backend as NodeJSKernelBackend;
    const {strides, pad, filterShape} =
        args.attrs as unknown as Conv3DBackpropFilterV2Attrs;

    const dilations = 1;

    const convInfo = backend_util.computeConv3DInfo(
        x.shape as [number, number, number, number, number], filterShape,
        strides, dilations, pad);

    const $strides = [
      1, convInfo.strideDepth, convInfo.strideHeight, convInfo.strideWidth, 1
    ];
    const padding = convInfo.padInfo.type;
    const dataFormat =
        convInfo.dataFormat === 'channelsLast' ? 'NDHWC' : 'NCDHW';

    if (!backend.isGPUPackage && convInfo.dilationDepth > 1) {
      throw new Error('CPU Dilation depth must be 1');
    }
    const $dilations = [
      1, convInfo.dilationDepth, convInfo.dilationHeight,
      convInfo.dilationWidth, 1
    ];
    const opAttrs = [
      createTensorsTypeOpAttr('T', x.dtype),
      {name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides},
      {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding}, {
        name: 'data_format',
        type: backend.binding.TF_ATTR_STRING,
        value: dataFormat
      },
      {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: $dilations}
    ];
    const filterSizes = tensor1d(filterShape, 'int32');
    const res = backend.executeSingleOutput(
        Conv3DBackpropFilterV2, opAttrs, [x, filterSizes, dy]);
    filterSizes.dispose();
    return res;
  }
};