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Dilation2DBackpropFilter.ts
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/**
* @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, Dilation2DAttrs, Dilation2DBackpropFilter, Dilation2DBackpropFilterInputs, KernelConfig} from '@tensorflow/tfjs';
import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
export const dilation2dBackpropFilterConfig: KernelConfig = {
kernelName: Dilation2DBackpropFilter,
backendName: 'tensorflow',
kernelFunc: ({inputs, backend, attrs}) => {
const {x, filter, dy} = inputs as Dilation2DBackpropFilterInputs;
const {strides, pad, dilations} = attrs as {} as Dilation2DAttrs;
const {dilationHeight, dilationWidth, padInfo, strideHeight, strideWidth} =
backend_util.computeDilation2DInfo(
x.shape as [number, number, number, number],
filter.shape as [number, number, number], strides, pad,
'NHWC' /* dataFormat */, dilations);
const $strides = [1, strideHeight, strideWidth, 1];
const $dilations = [1, dilationHeight, dilationWidth, 1];
const nodeBackend = backend as NodeJSKernelBackend;
const opAttrs = [
createTensorsTypeOpAttr('T', x.dtype),
{name: 'strides', type: nodeBackend.binding.TF_ATTR_INT, value: $strides},
{name: 'rates', type: nodeBackend.binding.TF_ATTR_INT, value: $dilations},
{
name: 'padding',
type: nodeBackend.binding.TF_ATTR_STRING,
value: padInfo.type
}
];
return nodeBackend.executeSingleOutput(
Dilation2DBackpropFilter, opAttrs, [x, filter, dy]);
}
};