1 | "use strict";
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18 | Object.defineProperty(exports, "__esModule", { value: true });
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19 | var tfjs_1 = require("@tensorflow/tfjs");
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20 | var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
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21 | exports.depthwiseConv2dNativeBackpropFilterConfig = {
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22 | kernelName: tfjs_1.DepthwiseConv2dNativeBackpropFilter,
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23 | backendName: 'tensorflow',
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24 | kernelFunc: function (args) {
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25 | var _a = args.inputs, x = _a.x, dy = _a.dy;
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26 | var backend = args.backend;
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27 | var _b = args.attrs, strides = _b.strides, dilations = _b.dilations, pad = _b.pad, dimRoundingMode = _b.dimRoundingMode, filterShape = _b.filterShape;
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28 | var convInfo = tfjs_1.backend_util.computeConv2DInfo(x.shape, filterShape, strides, dilations, pad, dimRoundingMode, true );
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29 | return depthwiseConv2dNativeBackpropFilterImpl(x, dy, convInfo, backend);
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30 | }
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31 | };
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32 | function depthwiseConv2dNativeBackpropFilterImpl(x, dy, convInfo, backend) {
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33 | var strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
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34 | var padding = convInfo.padInfo.type;
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35 | var dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
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36 | var dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
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37 | var opAttrs = [
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38 | nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', 'float32'),
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39 | { name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides },
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40 | { name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding }, {
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41 | name: 'data_format',
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42 | type: backend.binding.TF_ATTR_STRING,
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43 | value: dataFormat
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44 | },
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45 | { name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations }
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46 | ];
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47 | var filterSizes = tfjs_1.tensor1d(convInfo.filterShape, 'int32');
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48 | var res = backend.executeSingleOutput(tfjs_1.DepthwiseConv2dNativeBackpropFilter, opAttrs, [x, filterSizes, dy]);
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49 | filterSizes.dispose();
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50 | return res;
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51 | }
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