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.conv2DConfig = {
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22 | kernelName: tfjs_1.Conv2D,
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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, filter = _a.filter;
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26 | var backend = args.backend;
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27 | var _b = args.attrs, strides = _b.strides, pad = _b.pad, dataFormat = _b.dataFormat, dilations = _b.dilations, dimRoundingMode = _b.dimRoundingMode;
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28 | var $dataFormat = tfjs_1.backend_util.convertConv2DDataFormat(dataFormat);
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29 | var convInfo = tfjs_1.backend_util.computeConv2DInfo(x.shape, filter.shape, strides, dilations, pad, dimRoundingMode, false , $dataFormat);
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30 | return conv2dImpl(x, filter, convInfo, backend);
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31 | }
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32 | };
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33 | function conv2dImpl(x, filter, convInfo, backend) {
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34 | if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME' &&
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35 | convInfo.padInfo.type !== 'EXPLICIT') {
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36 | throw new Error("TF Backend supports only 'valid' and 'same' padding " +
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37 | ("while padding was " + convInfo.padInfo.type));
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38 | }
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39 | var strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
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40 | var padding = convInfo.padInfo.type;
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41 | var dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
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42 | var dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
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43 | var opAttrs = [
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44 | nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
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45 | { name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides },
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46 | { name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding },
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47 | {
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48 | name: 'data_format',
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49 | type: backend.binding.TF_ATTR_STRING,
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50 | value: dataFormat
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51 | },
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52 | { name: 'use_cudnn_on_gpu', type: backend.binding.TF_ATTR_BOOL, value: true },
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53 | { name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations },
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54 | ];
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55 | if (padding === 'EXPLICIT') {
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56 | var padValue = [
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57 | convInfo.padInfo.top, convInfo.padInfo.bottom, convInfo.padInfo.left,
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58 | convInfo.padInfo.right
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59 | ];
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60 | opAttrs.push({
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61 | name: 'explicit_paddings',
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62 | type: backend.binding.TF_ATTR_INT,
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63 | value: dataFormat === 'NHWC' ? [0, 0].concat(padValue, [0, 0]) : [0, 0, 0, 0].concat(padValue)
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64 | });
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65 | }
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66 | return backend.executeSingleOutput(tfjs_1.Conv2D, opAttrs, [x, filter]);
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67 | }
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68 | exports.conv2dImpl = conv2dImpl;
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