/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import {backend_util, Dilation2DAttrs, Dilation2DBackpropFilter, Dilation2DBackpropFilterInputs, KernelConfig} from '@tensorflow/tfjs';
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import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
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export const dilation2dBackpropFilterConfig: KernelConfig = {
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kernelName: Dilation2DBackpropFilter,
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backendName: 'tensorflow',
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kernelFunc: ({inputs, backend, attrs}) => {
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const {x, filter, dy} = inputs as Dilation2DBackpropFilterInputs;
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const {strides, pad, dilations} = attrs as unknown as Dilation2DAttrs;
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const {dilationHeight, dilationWidth, padInfo, strideHeight, strideWidth} =
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backend_util.computeDilation2DInfo(
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x.shape as [number, number, number, number],
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filter.shape as [number, number, number], strides, pad,
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'NHWC' /* dataFormat */, dilations);
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const $strides = [1, strideHeight, strideWidth, 1];
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const $dilations = [1, dilationHeight, dilationWidth, 1];
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const nodeBackend = backend as NodeJSKernelBackend;
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const opAttrs = [
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createTensorsTypeOpAttr('T', x.dtype),
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{name: 'strides', type: nodeBackend.binding.TF_ATTR_INT, value: $strides},
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{name: 'rates', type: nodeBackend.binding.TF_ATTR_INT, value: $dilations},
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{
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name: 'padding',
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type: nodeBackend.binding.TF_ATTR_STRING,
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value: padInfo.type
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}
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];
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return nodeBackend.executeSingleOutput(
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Dilation2DBackpropFilter, opAttrs, [x, filter, dy]);
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}
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};
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