1 | /**
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2 | * @license
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3 | * Copyright 2017 Google LLC. All Rights Reserved.
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4 | * Licensed under the Apache License, Version 2.0 (the "License");
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5 | * you may not use this file except in compliance with the License.
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6 | * You may obtain a copy of the License at
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7 | *
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8 | * http://www.apache.org/licenses/LICENSE-2.0
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9 | *
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10 | * Unless required by applicable law or agreed to in writing, software
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11 | * distributed under the License is distributed on an "AS IS" BASIS,
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12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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13 | * See the License for the specific language governing permissions and
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14 | * limitations under the License.
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15 | * =============================================================================
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16 | */
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17 | import * as tf from '../../index';
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18 | import { ALL_ENVS, describeWithFlags } from '../../jasmine_util';
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19 | import { expectArraysClose } from '../../test_util';
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20 | describeWithFlags('resizeBilinear', ALL_ENVS, () => {
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21 | it('simple alignCorners=false', async () => {
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22 | const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
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23 | const output = input.resizeBilinear([3, 3], false);
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24 | expectArraysClose(await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);
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25 | });
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26 | it('5x5-bilinear, no change in shape', async () => {
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27 | const image = tf.ones([1, 5, 5, 3]);
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28 | const alignCorners = false;
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29 | const output = tf.image.resizeBilinear(image, [5, 5], alignCorners);
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30 | expect(output.shape).toEqual([1, 5, 5, 3]);
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31 | expect(output.dtype).toBe('float32');
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32 | expectArraysClose(await output.data(), await image.data());
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33 | });
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34 | it('simple alignCorners=true', async () => {
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35 | const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
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36 | const output = input.resizeBilinear([3, 3], true);
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37 | expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4]);
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38 | });
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39 | it('works when rows are copied', async () => {
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40 | const input = tf.tensor3d([
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41 | 1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,
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42 | -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,
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43 | 2.01919952, 2.67524054
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44 | ], [2, 3, 2]);
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45 | const output = input.resizeBilinear([4, 3], false);
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46 | expectArraysClose(await output.data(), [
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47 | 1.5632453, 2.13817763, 1.44398415, 1.07632685, 0.59306782, -0.36970866,
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48 | 1.59388208, 1.98745549, 1.2917161, 1.54812956, 1.30613375, 1.15276587,
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49 | 1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052,
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50 | 1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052
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51 | ]);
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52 | });
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53 | it('works for ints', async () => {
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54 | const input = tf.tensor3d([1, 2, 3, 4, 5], [1, 5, 1], 'int32');
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55 | const output = input.resizeBilinear([1, 10], false);
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56 | expect(output.shape).toEqual([1, 10, 1]);
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57 | expect(output.dtype).toBe('float32');
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58 | expectArraysClose(await output.data(), [1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5]);
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59 | });
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60 | it('matches tensorflow w/ random numbers alignCorners=false, ' +
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61 | 'halfPixelCenters=true', async () => {
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62 | const input = tf.tensor3d([
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63 | 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
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64 | 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
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65 | 0.03823943, 1.19864896
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66 | ], [2, 3, 2]);
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67 | const output = input.resizeBilinear([4, 5], false, true);
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68 | expectArraysClose(await output.data(), [
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69 | 1.1907405, 0.913731, 1.520891, 0.3391553, 2.0161166, -0.5227083,
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70 | 1.0387988, 0.5757756, 0.3872539, 1.3080978, 1.0476432, 1.5592999,
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71 | 1.442652, 0.8352414, 2.0351648, -0.2508462, 0.9940659, 0.6681031,
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72 | 0.3000003, 1.2807356, 0.7614487, 2.8504376, 1.2861738, 1.8274136,
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73 | 2.0732617, 0.2928779, 0.9046002, 0.8527579, 0.125493, 1.2260112,
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74 | 0.6183515, 3.4960065, 1.2079349, 2.3234997, 2.09231, 0.5647399,
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75 | 0.8598673, 0.9450854, 0.0382394, 1.1986489
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76 | ]);
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77 | });
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78 | it('batch of 2, simple, alignCorners=false, ' +
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79 | 'halfPixelCenters=true', async () => {
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80 | const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);
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81 | const output = input.resizeBilinear([3, 3], false /* alignCorners */, true);
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82 | expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);
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83 | });
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84 | it('target width = 1, alignCorners=false, ' +
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85 | 'halfPixelCenters=true', async () => {
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86 | const input = tf.tensor3d([
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87 | [
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88 | [120.68856811523438, 134.51638793945312, 83.03671264648438],
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89 | [121.58008575439453, 113.28836059570312, 136.3172149658203],
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90 | [79.38370513916016, 101.87127685546875, 104.54979705810547],
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91 | [96.31678771972656, 111.77168273925781, 83.73509979248047]
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92 | ],
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93 | [
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94 | [119.45088195800781, 88.98846435546875, 97.47553253173828],
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95 | [117.5562973022461, 108.26356506347656, 99.62212371826172],
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96 | [136.62701416015625, 94.10433197021484, 80.97366333007812],
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97 | [83.61205291748047, 90.60148620605469, 81.82512664794922]
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98 | ],
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99 | [
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100 | [103.0362777709961, 123.1098403930664, 125.62944030761719],
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101 | [92.2915267944336, 103.15729522705078, 119.18060302734375],
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102 | [102.93293762207031, 117.821044921875, 99.40152740478516],
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103 | [96.32952117919922, 105.80963134765625, 104.8491439819336]
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104 | ],
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105 | [
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106 | [104.87507629394531, 134.0189208984375, 111.02627563476562],
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107 | [85.4534683227539, 107.68426513671875, 103.03722381591797],
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108 | [89.70533752441406, 98.25298309326172, 78.42916870117188],
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109 | [113.6744613647461, 95.8189697265625, 122.75005340576172]
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110 | ]
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111 | ]);
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112 | const output = input.resizeBilinear([3, 1], false, true);
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113 | const expected = [
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114 | 104.917, 106.514, 115.411, 112.352, 105.837, 99.7945, 89.2515, 104.222,
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115 | 93.8262
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116 | ];
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117 | expectArraysClose(await output.data(), expected);
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118 | expect(output.shape).toEqual([3, 1, 3]);
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119 | });
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120 | it('matches tensorflow w/ random numbers alignCorners=false', async () => {
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121 | const input = tf.tensor3d([
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122 | 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
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123 | 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
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124 | 0.03823943, 1.19864896
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125 | ], [2, 3, 2]);
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126 | const output = input.resizeBilinear([4, 5], false);
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127 | expectArraysClose(await output.data(), [
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128 | 1.19074047, 0.91373104, 1.68596613, 0.05186744, 1.69034398, -0.15654698,
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129 | 0.7130264, 0.94193673, 0.38725394, 1.30809784, 0.9045459, 2.20486879,
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130 | 1.59434628, 0.89455694, 1.68591988, 0.26748738, 0.58103991, 1.00690198,
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131 | 0.21274668, 1.25337338, 0.6183514, 3.49600649, 1.50272655, 1.73724651,
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132 | 1.68149579, 0.69152176, 0.44905344, 1.07186723, 0.03823943, 1.19864893,
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133 | 0.6183514, 3.49600649, 1.50272655, 1.73724651, 1.68149579, 0.69152176,
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134 | 0.44905344, 1.07186723, 0.03823943, 1.19864893
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135 | ]);
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136 | });
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137 | it('matches tensorflow w/ random numbers alignCorners=true', async () => {
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138 | const input = tf.tensor3d([
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139 | 1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,
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140 | -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,
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141 | 2.01919952, 2.67524054
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142 | ], [2, 3, 2]);
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143 | const output = input.resizeBilinear([4, 5], true);
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144 | expectArraysClose(await output.data(), [
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145 | 1.5632453, 2.13817763, 1.50361478, 1.60725224, 1.44398427, 1.07632685,
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146 | 1.01852608, 0.35330909, 0.59306782, -0.36970866, 1.58366978, 2.03769612,
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147 | 1.46307099, 1.71427906, 1.3424722, 1.39086199, 1.20545864, 1.01806819,
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148 | 1.06844509, 0.6452744, 1.60409427, 1.93721485, 1.42252707, 1.82130599,
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149 | 1.24096, 1.70539713, 1.3923912, 1.68282723, 1.54382229, 1.66025746,
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150 | 1.62451875, 1.83673346, 1.38198328, 1.92833281, 1.13944793, 2.01993227,
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151 | 1.57932377, 2.34758639, 2.01919961, 2.67524052
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152 | ]);
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153 | });
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154 | it('batch of 2, simple, alignCorners=true', async () => {
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155 | const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);
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156 | const output = input.resizeBilinear([3, 3], true /* alignCorners */);
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157 | expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);
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158 | });
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159 | it('target width = 1, alignCorners=true', async () => {
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160 | const input = tf.tensor3d([
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161 | [
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162 | [120.68856811523438, 134.51638793945312, 83.03671264648438],
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163 | [121.58008575439453, 113.28836059570312, 136.3172149658203],
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164 | [79.38370513916016, 101.87127685546875, 104.54979705810547],
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165 | [96.31678771972656, 111.77168273925781, 83.73509979248047]
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166 | ],
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167 | [
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168 | [119.45088195800781, 88.98846435546875, 97.47553253173828],
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169 | [117.5562973022461, 108.26356506347656, 99.62212371826172],
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170 | [136.62701416015625, 94.10433197021484, 80.97366333007812],
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171 | [83.61205291748047, 90.60148620605469, 81.82512664794922]
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172 | ],
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173 | [
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174 | [103.0362777709961, 123.1098403930664, 125.62944030761719],
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175 | [92.2915267944336, 103.15729522705078, 119.18060302734375],
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176 | [102.93293762207031, 117.821044921875, 99.40152740478516],
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177 | [96.32952117919922, 105.80963134765625, 104.8491439819336]
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178 | ],
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179 | [
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180 | [104.87507629394531, 134.0189208984375, 111.02627563476562],
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181 | [85.4534683227539, 107.68426513671875, 103.03722381591797],
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182 | [89.70533752441406, 98.25298309326172, 78.42916870117188],
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183 | [113.6744613647461, 95.8189697265625, 122.75005340576172]
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184 | ]
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185 | ]);
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186 | const output = input.resizeBilinear([3, 1], true);
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187 | const expected = [
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188 | 120.68857, 134.51639, 83.03671, 111.243576, 106.04915, 111.55249,
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189 | 104.87508, 134.01892, 111.026276
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190 | ];
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191 | expectArraysClose(await output.data(), expected);
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192 | expect(output.shape).toEqual([3, 1, 3]);
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193 | });
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194 | it('target height = 1, alignCorners=true', async () => {
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195 | const input = tf.tensor3d([
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196 | [
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197 | [120.68856811523438, 134.51638793945312, 83.03671264648438],
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198 | [121.58008575439453, 113.28836059570312, 136.3172149658203],
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199 | [79.38370513916016, 101.87127685546875, 104.54979705810547],
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200 | [96.31678771972656, 111.77168273925781, 83.73509979248047]
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201 | ],
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202 | [
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203 | [119.45088195800781, 88.98846435546875, 97.47553253173828],
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204 | [117.5562973022461, 108.26356506347656, 99.62212371826172],
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205 | [136.62701416015625, 94.10433197021484, 80.97366333007812],
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206 | [83.61205291748047, 90.60148620605469, 81.82512664794922]
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207 | ],
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208 | [
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209 | [103.0362777709961, 123.1098403930664, 125.62944030761719],
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210 | [92.2915267944336, 103.15729522705078, 119.18060302734375],
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211 | [102.93293762207031, 117.821044921875, 99.40152740478516],
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212 | [96.32952117919922, 105.80963134765625, 104.8491439819336]
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213 | ],
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214 | [
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215 | [104.87507629394531, 134.0189208984375, 111.02627563476562],
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216 | [85.4534683227539, 107.68426513671875, 103.03722381591797],
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217 | [89.70533752441406, 98.25298309326172, 78.42916870117188],
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218 | [113.6744613647461, 95.8189697265625, 122.75005340576172]
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219 | ]
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220 | ]);
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221 | const output = input.resizeBilinear([1, 3], true);
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222 | const expected = [
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223 | 120.68857, 134.51639, 83.03671, 100.481895, 107.57982, 120.4335, 96.31679,
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224 | 111.77168, 83.7351
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225 | ];
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226 | expectArraysClose(await output.data(), expected);
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227 | expect(output.shape).toEqual([1, 3, 3]);
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228 | });
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229 | it('throws when passed a non-tensor', () => {
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230 | const e = /Argument 'images' passed to 'resizeBilinear' must be a Tensor/;
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231 | expect(() => tf.image.resizeBilinear({}, [
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232 | 1, 1
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233 | ])).toThrowError(e);
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234 | });
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235 | it('accepts a tensor-like object', async () => {
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236 | const input = [[[2], [2]], [[4], [4]]]; // 2x2x1
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237 | const output = tf.image.resizeBilinear(input, [3, 3], false);
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238 | expectArraysClose(await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);
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239 | });
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240 | });
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241 | describeWithFlags('resizeBilinear gradients', ALL_ENVS, () => {
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242 | it('greyscale: upscale, same aspect ratio', async () => {
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243 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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244 | const dy = tf.tensor3d([
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245 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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246 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
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247 | ]);
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248 | const size = [4, 4];
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249 | const alignCorners = false;
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250 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
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251 | const output = g(input, dy);
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252 | const expected = [6.0, 17.0, 38.0, 75.0];
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253 | expectArraysClose(await output.data(), expected);
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254 | });
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255 | it('with clones, greyscale: upscale, same aspect ratio', async () => {
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256 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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257 | const dy = tf.tensor3d([
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258 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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259 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
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260 | ]);
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261 | const size = [4, 4];
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262 | const alignCorners = false;
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263 | const g = tf.grad((i) => tf.image.resizeBilinear(i.clone(), size, alignCorners).clone());
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264 | const output = g(input, dy);
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265 | const expected = [6.0, 17.0, 38.0, 75.0];
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266 | expectArraysClose(await output.data(), expected);
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267 | });
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268 | it('greyscale: upscale, same aspect ratio, align corners', async () => {
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269 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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270 | const dy = tf.tensor3d([
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271 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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272 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
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273 | ]);
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274 | const size = [4, 4];
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275 | const alignCorners = true;
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276 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
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277 | const output = g(input, dy);
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278 | const expected = [17.333330154418945, 23.999998092651367, 44.0, 50.66666793823242];
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279 | expectArraysClose(await output.data(), expected);
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280 | });
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281 | it('greyscale: upscale, taller than wider', async () => {
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282 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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283 | const dy = tf.tensor3d([
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284 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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285 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
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286 | [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
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287 | [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
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288 | [[33.0], [34.0], [35.0], [36.0]]
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289 | ]);
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290 | const size = [9, 4];
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291 | const alignCorners = false;
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292 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
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293 | const output = g(input, dy);
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294 | const expected = [
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295 | 25.55555534362793, 55.5555534362793, 208.44444274902344, 376.4444274902344
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296 | ];
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297 | expectArraysClose(await output.data(), expected);
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298 | });
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299 | it('greyscale: upscale, taller than wider, align corners', async () => {
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300 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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301 | const dy = tf.tensor3d([
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302 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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303 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
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304 | [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
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305 | [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
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306 | [[33.0], [34.0], [35.0], [36.0]]
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307 | ]);
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308 | const size = [9, 4];
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309 | const alignCorners = true;
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310 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
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311 | const output = g(input, dy);
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312 | const expected = [99.0, 114.0, 219.00001525878906, 233.99998474121094];
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313 | expectArraysClose(await output.data(), expected);
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314 | });
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315 | it('greyscale: upscale, wider than taller', async () => {
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316 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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317 | const dy = tf.tensor3d([
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318 | [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
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319 | [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
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320 | [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
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321 | [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
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322 | ]);
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323 | const size = [4, 7];
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324 | const alignCorners = false;
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325 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
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326 | const output = g(input, dy);
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327 | const expected = [
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328 | 14.428570747375488, 52.07142639160156, 98.71427917480469,
|
329 | 240.78573608398438
|
330 | ];
|
331 | expectArraysClose(await output.data(), expected);
|
332 | });
|
333 | it('greyscale: upscale, wider than taller, align corners', async () => {
|
334 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
|
335 | const dy = tf.tensor3d([
|
336 | [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
|
337 | [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
|
338 | [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
|
339 | [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
|
340 | ]);
|
341 | const size = [4, 7];
|
342 | const alignCorners = true;
|
343 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
344 | const output = g(input, dy);
|
345 | const expected = [51.33332824707031, 70.0, 133.0, 151.66668701171875];
|
346 | expectArraysClose(await output.data(), expected);
|
347 | });
|
348 | // Downscale
|
349 | it('greyscale: downscale, same aspect ratio', async () => {
|
350 | const input = tf.tensor3d([
|
351 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
352 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
353 | ]);
|
354 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
355 | const size = [2, 2];
|
356 | const alignCorners = false;
|
357 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
358 | const output = g(input, dy);
|
359 | const expected = [
|
360 | 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 4.0, 0.0, 0.0, 0.0, 0.0,
|
361 | 0.0
|
362 | ];
|
363 | expectArraysClose(await output.data(), expected);
|
364 | });
|
365 | it('greyscale: downscale, same aspect ratio, align corners', async () => {
|
366 | const input = tf.tensor3d([
|
367 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
368 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
369 | ]);
|
370 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
371 | const size = [2, 2];
|
372 | const alignCorners = true;
|
373 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
374 | const output = g(input, dy);
|
375 | const expected = [
|
376 | 1.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0,
|
377 | 4.0
|
378 | ];
|
379 | expectArraysClose(await output.data(), expected);
|
380 | });
|
381 | it('greyscale: downscale, taller than wider', async () => {
|
382 | const input = tf.tensor3d([
|
383 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
384 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
385 | ]);
|
386 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
|
387 | const size = [3, 2];
|
388 | const alignCorners = false;
|
389 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
390 | const output = g(input, dy);
|
391 | const expected = [
|
392 | 1.0, 0.0, 2.0, 0.0, 1.9999998807907104, 0.0, 2.6666665077209473, 0.0,
|
393 | 2.6666665077209473, 0.0, 3.3333330154418945, 0.0, 3.333333730697632, 0.0,
|
394 | 4.000000476837158, 0.0
|
395 | ];
|
396 | expectArraysClose(await output.data(), expected);
|
397 | });
|
398 | it('greyscale: downscale, taller than wider, align corners', async () => {
|
399 | const input = tf.tensor3d([
|
400 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
401 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
402 | ]);
|
403 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
|
404 | const size = [3, 2];
|
405 | const alignCorners = true;
|
406 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
407 | const output = g(input, dy);
|
408 | const expected = [
|
409 | 1.0, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0,
|
410 | 6.0
|
411 | ];
|
412 | expectArraysClose(await output.data(), expected);
|
413 | });
|
414 | it('greyscale: downscale, wider than taller', async () => {
|
415 | const input = tf.tensor3d([
|
416 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
417 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
418 | ]);
|
419 | const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
|
420 | const size = [2, 3];
|
421 | const alignCorners = false;
|
422 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
423 | const output = g(input, dy);
|
424 | const expected = [
|
425 | 1.0, 1.3333332538604736, 1.6666665077209473, 2.000000238418579, 0.0, 0.0,
|
426 | 0.0, 0.0, 4.0, 3.3333330154418945, 3.6666665077209473, 4.000000476837158,
|
427 | 0.0, 0.0, 0.0, 0.0
|
428 | ];
|
429 | expectArraysClose(await output.data(), expected);
|
430 | });
|
431 | it('greyscale: downscale, wider than taller, align corners', async () => {
|
432 | const input = tf.tensor3d([
|
433 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
434 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
435 | ]);
|
436 | const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
|
437 | const size = [2, 3];
|
438 | const alignCorners = true;
|
439 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
440 | const output = g(input, dy);
|
441 | const expected = [
|
442 | 1.0, 1.0, 1.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 2.5, 2.5,
|
443 | 6.0
|
444 | ];
|
445 | expectArraysClose(await output.data(), expected);
|
446 | });
|
447 | // No Op
|
448 | it('greyscale: same size', async () => {
|
449 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
|
450 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
451 | const size = [2, 2];
|
452 | const alignCorners = false;
|
453 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
454 | const output = g(input, dy);
|
455 | const expected = [1.0, 2.0, 3.0, 4.0];
|
456 | expectArraysClose(await output.data(), expected);
|
457 | });
|
458 | it('greyscale: same size, align corners', async () => {
|
459 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
|
460 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
461 | const size = [2, 2];
|
462 | const alignCorners = true;
|
463 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
464 | const output = g(input, dy);
|
465 | const expected = [1.0, 2.0, 3.0, 4.0];
|
466 | expectArraysClose(await output.data(), expected);
|
467 | });
|
468 | // 3 channel upscale
|
469 | it('color: upscale, wider than taller', async () => {
|
470 | const input = tf.tensor3d([
|
471 | [
|
472 | [115.11029815673828, 111.90936279296875, 66.87433624267578],
|
473 | [72.03849029541016, 81.86637878417969, 119.53585815429688]
|
474 | ],
|
475 | [
|
476 | [68.555419921875, 97.49642181396484, 116.90741729736328],
|
477 | [128.69467163085938, 86.78314208984375, 104.3116683959961]
|
478 | ]
|
479 | ]);
|
480 | const dy = tf.tensor3d([
|
481 | [
|
482 | [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
|
483 | [13.0, 14.0, 15.0]
|
484 | ],
|
485 | [
|
486 | [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
|
487 | [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
|
488 | ],
|
489 | [
|
490 | [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
|
491 | [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
|
492 | ]
|
493 | ]);
|
494 | const size = [3, 5];
|
495 | const alignCorners = false;
|
496 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
497 | const output = g(input, dy);
|
498 | const expected = [
|
499 | 15.399999618530273, 17.799999237060547, 20.19999885559082,
|
500 | 56.26666259765625, 60.533329010009766, 64.79999542236328,
|
501 | 80.00000762939453, 83.0, 86.0, 178.33334350585938, 183.66668701171875,
|
502 | 189.00001525878906
|
503 | ];
|
504 | expectArraysClose(await output.data(), expected);
|
505 | });
|
506 | it('color: upscale, wider than taller, align corners', async () => {
|
507 | const input = tf.tensor3d([
|
508 | [
|
509 | [115.11029815673828, 111.90936279296875, 66.87433624267578],
|
510 | [72.03849029541016, 81.86637878417969, 119.53585815429688]
|
511 | ],
|
512 | [
|
513 | [68.555419921875, 97.49642181396484, 116.90741729736328],
|
514 | [128.69467163085938, 86.78314208984375, 104.3116683959961]
|
515 | ]
|
516 | ]);
|
517 | const dy = tf.tensor3d([
|
518 | [
|
519 | [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
|
520 | [13.0, 14.0, 15.0]
|
521 | ],
|
522 | [
|
523 | [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
|
524 | [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
|
525 | ],
|
526 | [
|
527 | [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
|
528 | [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
|
529 | ]
|
530 | ]);
|
531 | const size = [3, 5];
|
532 | const alignCorners = true;
|
533 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
534 | const output = g(input, dy);
|
535 | const expected = [
|
536 | 33.75, 37.5, 41.25, 56.25, 60.0, 63.75, 108.75, 112.5, 116.25, 131.25,
|
537 | 135.0, 138.75
|
538 | ];
|
539 | expectArraysClose(await output.data(), expected);
|
540 | });
|
541 | // 3 channel downscale
|
542 | it('color: downscale, taller than wider', async () => {
|
543 | const input = tf.tensor3d([
|
544 | [
|
545 | [120.68856811523438, 134.51638793945312, 83.03671264648438],
|
546 | [121.58008575439453, 113.28836059570312, 136.3172149658203],
|
547 | [79.38370513916016, 101.87127685546875, 104.54979705810547],
|
548 | [96.31678771972656, 111.77168273925781, 83.73509979248047]
|
549 | ],
|
550 | [
|
551 | [119.45088195800781, 88.98846435546875, 97.47553253173828],
|
552 | [117.5562973022461, 108.26356506347656, 99.62212371826172],
|
553 | [136.62701416015625, 94.10433197021484, 80.97366333007812],
|
554 | [83.61205291748047, 90.60148620605469, 81.82512664794922]
|
555 | ],
|
556 | [
|
557 | [103.0362777709961, 123.1098403930664, 125.62944030761719],
|
558 | [92.2915267944336, 103.15729522705078, 119.18060302734375],
|
559 | [102.93293762207031, 117.821044921875, 99.40152740478516],
|
560 | [96.32952117919922, 105.80963134765625, 104.8491439819336]
|
561 | ],
|
562 | [
|
563 | [104.87507629394531, 134.0189208984375, 111.02627563476562],
|
564 | [85.4534683227539, 107.68426513671875, 103.03722381591797],
|
565 | [89.70533752441406, 98.25298309326172, 78.42916870117188],
|
566 | [113.6744613647461, 95.8189697265625, 122.75005340576172]
|
567 | ]
|
568 | ]);
|
569 | const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
|
570 | const size = [3, 1];
|
571 | const alignCorners = false;
|
572 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
573 | const output = g(input, dy);
|
574 | const expected = [
|
575 | 1.0,
|
576 | 2.0,
|
577 | 3.0,
|
578 | 0.0,
|
579 | 0.0,
|
580 | 0.0,
|
581 | 0.0,
|
582 | 0.0,
|
583 | 0.0,
|
584 | 0.0,
|
585 | 0.0,
|
586 | 0.0,
|
587 | 2.6666665077209473,
|
588 | 3.3333330154418945,
|
589 | 3.999999761581421,
|
590 | 0.0,
|
591 | 0.0,
|
592 | 0.0,
|
593 | 0.0,
|
594 | 0.0,
|
595 | 0.0,
|
596 | 0.0,
|
597 | 0.0,
|
598 | 0.0,
|
599 | 3.666666269302368,
|
600 | 4.3333330154418945,
|
601 | 4.999999523162842,
|
602 | 0.0,
|
603 | 0.0,
|
604 | 0.0,
|
605 | 0.0,
|
606 | 0.0,
|
607 | 0.0,
|
608 | 0.0,
|
609 | 0.0,
|
610 | 0.0,
|
611 | 4.6666669845581055,
|
612 | 5.333333969116211,
|
613 | 6.000000953674316,
|
614 | 0.0,
|
615 | 0.0,
|
616 | 0.0,
|
617 | 0.0,
|
618 | 0.0,
|
619 | 0.0,
|
620 | 0.0,
|
621 | 0.0,
|
622 | 0.0
|
623 | ];
|
624 | expectArraysClose(await output.data(), expected);
|
625 | });
|
626 | it('color: downscale, width = 1, align corners', async () => {
|
627 | const input = tf.tensor3d([
|
628 | [
|
629 | [120.68856811523438, 134.51638793945312, 83.03671264648438],
|
630 | [121.58008575439453, 113.28836059570312, 136.3172149658203],
|
631 | [79.38370513916016, 101.87127685546875, 104.54979705810547],
|
632 | [96.31678771972656, 111.77168273925781, 83.73509979248047]
|
633 | ],
|
634 | [
|
635 | [119.45088195800781, 88.98846435546875, 97.47553253173828],
|
636 | [117.5562973022461, 108.26356506347656, 99.62212371826172],
|
637 | [136.62701416015625, 94.10433197021484, 80.97366333007812],
|
638 | [83.61205291748047, 90.60148620605469, 81.82512664794922]
|
639 | ],
|
640 | [
|
641 | [103.0362777709961, 123.1098403930664, 125.62944030761719],
|
642 | [92.2915267944336, 103.15729522705078, 119.18060302734375],
|
643 | [102.93293762207031, 117.821044921875, 99.40152740478516],
|
644 | [96.32952117919922, 105.80963134765625, 104.8491439819336]
|
645 | ],
|
646 | [
|
647 | [104.87507629394531, 134.0189208984375, 111.02627563476562],
|
648 | [85.4534683227539, 107.68426513671875, 103.03722381591797],
|
649 | [89.70533752441406, 98.25298309326172, 78.42916870117188],
|
650 | [113.6744613647461, 95.8189697265625, 122.75005340576172]
|
651 | ]
|
652 | ]);
|
653 | const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
|
654 | const size = [3, 1];
|
655 | const alignCorners = true;
|
656 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
657 | const output = g(input, dy);
|
658 | const expected = [
|
659 | 1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
|
660 | 2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
|
661 | 2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
|
662 | 7.0, 8.0, 9.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
|
663 | ];
|
664 | expectArraysClose(await output.data(), expected);
|
665 | });
|
666 | it('color: downscale, height = 1, align corners', async () => {
|
667 | const input = tf.tensor3d([
|
668 | [
|
669 | [120.68856811523438, 134.51638793945312, 83.03671264648438],
|
670 | [121.58008575439453, 113.28836059570312, 136.3172149658203],
|
671 | [79.38370513916016, 101.87127685546875, 104.54979705810547],
|
672 | [96.31678771972656, 111.77168273925781, 83.73509979248047]
|
673 | ],
|
674 | [
|
675 | [119.45088195800781, 88.98846435546875, 97.47553253173828],
|
676 | [117.5562973022461, 108.26356506347656, 99.62212371826172],
|
677 | [136.62701416015625, 94.10433197021484, 80.97366333007812],
|
678 | [83.61205291748047, 90.60148620605469, 81.82512664794922]
|
679 | ],
|
680 | [
|
681 | [103.0362777709961, 123.1098403930664, 125.62944030761719],
|
682 | [92.2915267944336, 103.15729522705078, 119.18060302734375],
|
683 | [102.93293762207031, 117.821044921875, 99.40152740478516],
|
684 | [96.32952117919922, 105.80963134765625, 104.8491439819336]
|
685 | ],
|
686 | [
|
687 | [104.87507629394531, 134.0189208984375, 111.02627563476562],
|
688 | [85.4534683227539, 107.68426513671875, 103.03722381591797],
|
689 | [89.70533752441406, 98.25298309326172, 78.42916870117188],
|
690 | [113.6744613647461, 95.8189697265625, 122.75005340576172]
|
691 | ]
|
692 | ]);
|
693 | const dy = tf.tensor3d([[[1., 2., 3.], [4., 5., 6.], [7., 8., 9.]]]);
|
694 | const size = [1, 3];
|
695 | const alignCorners = true;
|
696 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
697 | const output = g(input, dy);
|
698 | const expected = [
|
699 | 1., 2., 3., 2., 2.5, 3., 2., 2.5, 3., 7., 8., 9., 0., 0., 0., 0.,
|
700 | 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
|
701 | 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.
|
702 | ];
|
703 | expectArraysClose(await output.data(), expected);
|
704 | });
|
705 | it('color: downscale, taller than wider, align corners', async () => {
|
706 | const input = tf.tensor3d([
|
707 | [
|
708 | [120.68856811523438, 134.51638793945312, 83.03671264648438],
|
709 | [121.58008575439453, 113.28836059570312, 136.3172149658203],
|
710 | [79.38370513916016, 101.87127685546875, 104.54979705810547],
|
711 | [96.31678771972656, 111.77168273925781, 83.73509979248047]
|
712 | ],
|
713 | [
|
714 | [119.45088195800781, 88.98846435546875, 97.47553253173828],
|
715 | [117.5562973022461, 108.26356506347656, 99.62212371826172],
|
716 | [136.62701416015625, 94.10433197021484, 80.97366333007812],
|
717 | [83.61205291748047, 90.60148620605469, 81.82512664794922]
|
718 | ],
|
719 | [
|
720 | [103.0362777709961, 123.1098403930664, 125.62944030761719],
|
721 | [92.2915267944336, 103.15729522705078, 119.18060302734375],
|
722 | [102.93293762207031, 117.821044921875, 99.40152740478516],
|
723 | [96.32952117919922, 105.80963134765625, 104.8491439819336]
|
724 | ],
|
725 | [
|
726 | [104.87507629394531, 134.0189208984375, 111.02627563476562],
|
727 | [85.4534683227539, 107.68426513671875, 103.03722381591797],
|
728 | [89.70533752441406, 98.25298309326172, 78.42916870117188],
|
729 | [113.6744613647461, 95.8189697265625, 122.75005340576172]
|
730 | ]
|
731 | ]);
|
732 | const dy = tf.tensor3d([
|
733 | [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]],
|
734 | [[13.0, 14.0, 15.0], [16.0, 17.0, 18.0]]
|
735 | ]);
|
736 | const size = [3, 2];
|
737 | const alignCorners = true;
|
738 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
739 | const output = g(input, dy);
|
740 | const expected = [
|
741 | 1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 5.0, 6.0,
|
742 | 3.5, 4.0, 4.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 5.5, 6.0,
|
743 | 3.5, 4.0, 4.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 5.5, 6.0,
|
744 | 13.0, 14.0, 15.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 16.0, 17.0, 18.0
|
745 | ];
|
746 | expectArraysClose(await output.data(), expected);
|
747 | });
|
748 | // 3 channel no-op
|
749 | it('color: same size', async () => {
|
750 | const input = tf.tensor3d([
|
751 | [
|
752 | [115.11029815673828, 111.90936279296875, 66.87433624267578],
|
753 | [72.03849029541016, 81.86637878417969, 119.53585815429688]
|
754 | ],
|
755 | [
|
756 | [68.555419921875, 97.49642181396484, 116.90741729736328],
|
757 | [128.69467163085938, 86.78314208984375, 104.3116683959961]
|
758 | ]
|
759 | ]);
|
760 | const dy = tf.tensor3d([
|
761 | [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
|
762 | ]);
|
763 | const size = [2, 2];
|
764 | const alignCorners = false;
|
765 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
766 | const output = g(input, dy);
|
767 | const expected = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];
|
768 | expectArraysClose(await output.data(), expected);
|
769 | });
|
770 | it('color: same size, align corners', async () => {
|
771 | const input = tf.tensor3d([
|
772 | [
|
773 | [115.11029815673828, 111.90936279296875, 66.87433624267578],
|
774 | [72.03849029541016, 81.86637878417969, 119.53585815429688]
|
775 | ],
|
776 | [
|
777 | [68.555419921875, 97.49642181396484, 116.90741729736328],
|
778 | [128.69467163085938, 86.78314208984375, 104.3116683959961]
|
779 | ]
|
780 | ]);
|
781 | const dy = tf.tensor3d([
|
782 | [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
|
783 | ]);
|
784 | const size = [2, 2];
|
785 | const alignCorners = true;
|
786 | const g = tf.grad((i) => tf.image.resizeBilinear(i, size, alignCorners));
|
787 | const output = g(input, dy);
|
788 | const expected = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];
|
789 | expectArraysClose(await output.data(), expected);
|
790 | });
|
791 | });
|
792 | //# 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* @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from '../../index';\nimport {ALL_ENVS, describeWithFlags} from '../../jasmine_util';\nimport {expectArraysClose} from '../../test_util';\n\ndescribeWithFlags('resizeBilinear', ALL_ENVS, () => {\n  it('simple alignCorners=false', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeBilinear([3, 3], false);\n\n    expectArraysClose(\n        await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);\n  });\n\n  it('5x5-bilinear, no change in shape', async () => {\n    const image: tf.Tensor4D = tf.ones([1, 5, 5, 3]);\n\n    const alignCorners = false;\n    const output = tf.image.resizeBilinear(image, [5, 5], alignCorners);\n\n    expect(output.shape).toEqual([1, 5, 5, 3]);\n    expect(output.dtype).toBe('float32');\n    expectArraysClose(await output.data(), await image.data());\n  });\n\n  it('simple alignCorners=true', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeBilinear([3, 3], true);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 3, 3, 3, 4, 4, 4]);\n  });\n\n  it('works when rows are copied', async () => {\n    const input = tf.tensor3d(\n        [\n          1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,\n          -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,\n          2.01919952, 2.67524054\n        ],\n        [2, 3, 2]);\n    const output = input.resizeBilinear([4, 3], false);\n\n    expectArraysClose(await output.data(), [\n      1.5632453,  2.13817763, 1.44398415, 1.07632685, 0.59306782, -0.36970866,\n      1.59388208, 1.98745549, 1.2917161,  1.54812956, 1.30613375, 1.15276587,\n      1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052,\n      1.62451875, 1.83673334, 1.13944793, 2.01993227, 2.01919961, 2.67524052\n    ]);\n  });\n\n  it('works for ints', async () => {\n    const input = tf.tensor3d([1, 2, 3, 4, 5], [1, 5, 1], 'int32');\n    const output = input.resizeBilinear([1, 10], false);\n\n    expect(output.shape).toEqual([1, 10, 1]);\n    expect(output.dtype).toBe('float32');\n    expectArraysClose(\n        await output.data(), [1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5]);\n  });\n\n  it('matches tensorflow w/ random numbers alignCorners=false, ' +\n         'halfPixelCenters=true',\n     async () => {\n       const input = tf.tensor3d(\n           [\n             1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,\n             1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,\n             0.03823943, 1.19864896\n           ],\n           [2, 3, 2]);\n       const output = input.resizeBilinear([4, 5], false, true);\n\n       expectArraysClose(await output.data(), [\n         1.1907405, 0.913731,  1.520891,  0.3391553,  2.0161166, -0.5227083,\n         1.0387988, 0.5757756, 0.3872539, 1.3080978,  1.0476432, 1.5592999,\n         1.442652,  0.8352414, 2.0351648, -0.2508462, 0.9940659, 0.6681031,\n         0.3000003, 1.2807356, 0.7614487, 2.8504376,  1.2861738, 1.8274136,\n         2.0732617, 0.2928779, 0.9046002, 0.8527579,  0.125493,  1.2260112,\n         0.6183515, 3.4960065, 1.2079349, 2.3234997,  2.09231,   0.5647399,\n         0.8598673, 0.9450854, 0.0382394, 1.1986489\n       ]);\n     });\n\n  it('batch of 2, simple, alignCorners=false, ' +\n         'halfPixelCenters=true',\n     async () => {\n       const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);\n       const output =\n           input.resizeBilinear([3, 3], false /* alignCorners */, true);\n\n       expectArraysClose(\n           await output.data(),\n           [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);\n     });\n\n  it('target width = 1, alignCorners=false, ' +\n         'halfPixelCenters=true',\n     async () => {\n       const input = tf.tensor3d([\n         [\n           [120.68856811523438, 134.51638793945312, 83.03671264648438],\n           [121.58008575439453, 113.28836059570312, 136.3172149658203],\n           [79.38370513916016, 101.87127685546875, 104.54979705810547],\n           [96.31678771972656, 111.77168273925781, 83.73509979248047]\n         ],\n         [\n           [119.45088195800781, 88.98846435546875, 97.47553253173828],\n           [117.5562973022461, 108.26356506347656, 99.62212371826172],\n           [136.62701416015625, 94.10433197021484, 80.97366333007812],\n           [83.61205291748047, 90.60148620605469, 81.82512664794922]\n         ],\n         [\n           [103.0362777709961, 123.1098403930664, 125.62944030761719],\n           [92.2915267944336, 103.15729522705078, 119.18060302734375],\n           [102.93293762207031, 117.821044921875, 99.40152740478516],\n           [96.32952117919922, 105.80963134765625, 104.8491439819336]\n         ],\n         [\n           [104.87507629394531, 134.0189208984375, 111.02627563476562],\n           [85.4534683227539, 107.68426513671875, 103.03722381591797],\n           [89.70533752441406, 98.25298309326172, 78.42916870117188],\n           [113.6744613647461, 95.8189697265625, 122.75005340576172]\n         ]\n       ]);\n\n       const output = input.resizeBilinear([3, 1], false, true);\n\n       const expected = [\n         104.917, 106.514, 115.411, 112.352, 105.837, 99.7945, 89.2515, 104.222,\n         93.8262\n       ];\n       expectArraysClose(await output.data(), expected);\n       expect(output.shape).toEqual([3, 1, 3]);\n     });\n\n  it('matches tensorflow w/ random numbers alignCorners=false', async () => {\n    const input = tf.tensor3d(\n        [\n          1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,\n          1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,\n          0.03823943, 1.19864896\n        ],\n        [2, 3, 2]);\n    const output = input.resizeBilinear([4, 5], false);\n\n    expectArraysClose(await output.data(), [\n      1.19074047, 0.91373104, 1.68596613, 0.05186744, 1.69034398, -0.15654698,\n      0.7130264,  0.94193673, 0.38725394, 1.30809784, 0.9045459,  2.20486879,\n      1.59434628, 0.89455694, 1.68591988, 0.26748738, 0.58103991, 1.00690198,\n      0.21274668, 1.25337338, 0.6183514,  3.49600649, 1.50272655, 1.73724651,\n      1.68149579, 0.69152176, 0.44905344, 1.07186723, 0.03823943, 1.19864893,\n      0.6183514,  3.49600649, 1.50272655, 1.73724651, 1.68149579, 0.69152176,\n      0.44905344, 1.07186723, 0.03823943, 1.19864893\n    ]);\n  });\n\n  it('matches tensorflow w/ random numbers alignCorners=true', async () => {\n    const input = tf.tensor3d(\n        [\n          1.56324531, 2.13817752, 1.44398421, 1.07632684, 0.59306785,\n          -0.36970865, 1.62451879, 1.8367334, 1.13944798, 2.01993218,\n          2.01919952, 2.67524054\n        ],\n        [2, 3, 2]);\n    const output = input.resizeBilinear([4, 5], true);\n\n    expectArraysClose(await output.data(), [\n      1.5632453,  2.13817763, 1.50361478, 1.60725224,  1.44398427, 1.07632685,\n      1.01852608, 0.35330909, 0.59306782, -0.36970866, 1.58366978, 2.03769612,\n      1.46307099, 1.71427906, 1.3424722,  1.39086199,  1.20545864, 1.01806819,\n      1.06844509, 0.6452744,  1.60409427, 1.93721485,  1.42252707, 1.82130599,\n      1.24096,    1.70539713, 1.3923912,  1.68282723,  1.54382229, 1.66025746,\n      1.62451875, 1.83673346, 1.38198328, 1.92833281,  1.13944793, 2.01993227,\n      1.57932377, 2.34758639, 2.01919961, 2.67524052\n    ]);\n  });\n\n  it('batch of 2, simple, alignCorners=true', async () => {\n    const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);\n    const output = input.resizeBilinear([3, 3], true /* alignCorners */);\n\n    expectArraysClose(\n        await output.data(),\n        [2, 2, 2, 3, 3, 3, 4, 4, 4, 3, 3, 3, 4, 4, 4, 5, 5, 5]);\n  });\n\n  it('target width = 1, alignCorners=true', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const output = input.resizeBilinear([3, 1], true);\n\n    const expected = [\n      120.68857, 134.51639, 83.03671, 111.243576, 106.04915, 111.55249,\n      104.87508, 134.01892, 111.026276\n    ];\n    expectArraysClose(await output.data(), expected);\n    expect(output.shape).toEqual([3, 1, 3]);\n  });\n\n  it('target height = 1, alignCorners=true', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const output = input.resizeBilinear([1, 3], true);\n\n    const expected = [\n      120.68857, 134.51639, 83.03671, 100.481895, 107.57982, 120.4335, 96.31679,\n      111.77168, 83.7351\n    ];\n    expectArraysClose(await output.data(), expected);\n    expect(output.shape).toEqual([1, 3, 3]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    const e = /Argument 'images' passed to 'resizeBilinear' must be a Tensor/;\n    expect(() => tf.image.resizeBilinear({} as tf.Tensor3D, [\n      1, 1\n    ])).toThrowError(e);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const input = [[[2], [2]], [[4], [4]]];  // 2x2x1\n    const output = tf.image.resizeBilinear(input, [3, 3], false);\n    expectArraysClose(\n        await output.data(), [2, 2, 2, 10 / 3, 10 / 3, 10 / 3, 4, 4, 4]);\n  });\n});\n\ndescribeWithFlags('resizeBilinear gradients', ALL_ENVS, () => {\n  it('greyscale: upscale, same aspect ratio', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]\n    ]);\n\n    const size: [number, number] = [4, 4];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [6.0, 17.0, 38.0, 75.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('with clones, greyscale: upscale, same aspect ratio', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]\n    ]);\n\n    const size: [number, number] = [4, 4];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) =>\n            tf.image.resizeBilinear(i.clone(), size, alignCorners).clone());\n\n    const output = g(input, dy);\n    const expected = [6.0, 17.0, 38.0, 75.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, same aspect ratio, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]\n    ]);\n\n    const size: [number, number] = [4, 4];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected =\n        [17.333330154418945, 23.999998092651367, 44.0, 50.66666793823242];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, taller than wider', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],\n      [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],\n      [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],\n      [[33.0], [34.0], [35.0], [36.0]]\n    ]);\n\n    const size: [number, number] = [9, 4];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      25.55555534362793, 55.5555534362793, 208.44444274902344, 376.4444274902344\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],\n      [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],\n      [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],\n      [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],\n      [[33.0], [34.0], [35.0], [36.0]]\n    ]);\n\n    const size: [number, number] = [9, 4];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [99.0, 114.0, 219.00001525878906, 233.99998474121094];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, wider than taller', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],\n      [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],\n      [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],\n      [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]\n    ]);\n\n    const size: [number, number] = [4, 7];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      14.428570747375488, 52.07142639160156, 98.71427917480469,\n      240.78573608398438\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: upscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n    const dy = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],\n      [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],\n      [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],\n      [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]\n    ]);\n\n    const size: [number, number] = [4, 7];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [51.33332824707031, 70.0, 133.0, 151.66668701171875];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // Downscale\n\n  it('greyscale: downscale, same aspect ratio', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 4.0, 0.0, 0.0, 0.0, 0.0,\n      0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, same aspect ratio, align corners', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3.0, 0.0, 0.0,\n      4.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, taller than wider', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);\n\n    const size: [number, number] = [3, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 2.0, 0.0, 1.9999998807907104, 0.0, 2.6666665077209473, 0.0,\n      2.6666665077209473, 0.0, 3.3333330154418945, 0.0, 3.333333730697632, 0.0,\n      4.000000476837158, 0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);\n\n    const size: [number, number] = [3, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0,\n      6.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, wider than taller', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);\n\n    const size: [number, number] = [2, 3];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 1.3333332538604736, 1.6666665077209473, 2.000000238418579, 0.0, 0.0,\n      0.0, 0.0, 4.0, 3.3333330154418945, 3.6666665077209473, 4.000000476837158,\n      0.0, 0.0, 0.0, 0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: downscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([\n      [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],\n      [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]\n    ]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);\n\n    const size: [number, number] = [2, 3];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 1.0, 1.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 2.5, 2.5,\n      6.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // No Op\n\n  it('greyscale: same size', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [1.0, 2.0, 3.0, 4.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('greyscale: same size, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\n\n    const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [1.0, 2.0, 3.0, 4.0];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // 3 channel upscale\n  it('color: upscale, wider than taller', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [\n        [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],\n        [13.0, 14.0, 15.0]\n      ],\n      [\n        [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],\n        [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]\n      ],\n      [\n        [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],\n        [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]\n      ]\n    ]);\n\n    const size: [number, number] = [3, 5];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      15.399999618530273, 17.799999237060547, 20.19999885559082,\n      56.26666259765625, 60.533329010009766, 64.79999542236328,\n      80.00000762939453, 83.0, 86.0, 178.33334350585938, 183.66668701171875,\n      189.00001525878906\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: upscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [\n        [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],\n        [13.0, 14.0, 15.0]\n      ],\n      [\n        [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],\n        [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]\n      ],\n      [\n        [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],\n        [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]\n      ]\n    ]);\n\n    const size: [number, number] = [3, 5];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      33.75, 37.5, 41.25, 56.25, 60.0, 63.75, 108.75, 112.5, 116.25, 131.25,\n      135.0, 138.75\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // 3 channel downscale\n\n  it('color: downscale, taller than wider', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy =\n        tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);\n\n    const size: [number, number] = [3, 1];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0,\n      2.0,\n      3.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      2.6666665077209473,\n      3.3333330154418945,\n      3.999999761581421,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      3.666666269302368,\n      4.3333330154418945,\n      4.999999523162842,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      4.6666669845581055,\n      5.333333969116211,\n      6.000000953674316,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0,\n      0.0\n    ];\n\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: downscale, width = 1, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy =\n        tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);\n\n    const size: [number, number] = [3, 1];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n      2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n      2.0, 2.5, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n      7.0, 8.0, 9.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0\n    ];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: downscale, height = 1, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([[[1., 2., 3.], [4., 5., 6.], [7., 8., 9.]]]);\n\n    const size: [number, number] = [1, 3];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1., 2., 3., 2., 2.5, 3., 2., 2.5, 3., 7., 8., 9., 0., 0., 0., 0.,\n      0., 0., 0., 0., 0.,  0., 0., 0.,  0., 0., 0., 0., 0., 0., 0., 0.,\n      0., 0., 0., 0., 0.,  0., 0., 0.,  0., 0., 0., 0., 0., 0., 0., 0.\n    ];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: downscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [120.68856811523438, 134.51638793945312, 83.03671264648438],\n        [121.58008575439453, 113.28836059570312, 136.3172149658203],\n        [79.38370513916016, 101.87127685546875, 104.54979705810547],\n        [96.31678771972656, 111.77168273925781, 83.73509979248047]\n      ],\n      [\n        [119.45088195800781, 88.98846435546875, 97.47553253173828],\n        [117.5562973022461, 108.26356506347656, 99.62212371826172],\n        [136.62701416015625, 94.10433197021484, 80.97366333007812],\n        [83.61205291748047, 90.60148620605469, 81.82512664794922]\n      ],\n      [\n        [103.0362777709961, 123.1098403930664, 125.62944030761719],\n        [92.2915267944336, 103.15729522705078, 119.18060302734375],\n        [102.93293762207031, 117.821044921875, 99.40152740478516],\n        [96.32952117919922, 105.80963134765625, 104.8491439819336]\n      ],\n      [\n        [104.87507629394531, 134.0189208984375, 111.02627563476562],\n        [85.4534683227539, 107.68426513671875, 103.03722381591797],\n        [89.70533752441406, 98.25298309326172, 78.42916870117188],\n        [113.6744613647461, 95.8189697265625, 122.75005340576172]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]],\n      [[13.0, 14.0, 15.0], [16.0, 17.0, 18.0]]\n    ]);\n\n    const size: [number, number] = [3, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = [\n      1.0,  2.0,  3.0,  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0,  5.0,  6.0,\n      3.5,  4.0,  4.5,  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0,  5.5,  6.0,\n      3.5,  4.0,  4.5,  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0,  5.5,  6.0,\n      13.0, 14.0, 15.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 16.0, 17.0, 18.0\n    ];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  // 3 channel no-op\n\n  it('color: same size', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]\n    ]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = false;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected =\n        [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];\n    expectArraysClose(await output.data(), expected);\n  });\n\n  it('color: same size, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [115.11029815673828, 111.90936279296875, 66.87433624267578],\n        [72.03849029541016, 81.86637878417969, 119.53585815429688]\n      ],\n      [\n        [68.555419921875, 97.49642181396484, 116.90741729736328],\n        [128.69467163085938, 86.78314208984375, 104.3116683959961]\n      ]\n    ]);\n\n    const dy = tf.tensor3d([\n      [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]\n    ]);\n\n    const size: [number, number] = [2, 2];\n    const alignCorners = true;\n    const g = tf.grad(\n        (i: tf.Tensor3D) => tf.image.resizeBilinear(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected =\n        [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0];\n    expectArraysClose(await output.data(), expected);\n  });\n});\n"]} |
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