1 | /**
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2 | * @license
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3 | * Copyright 2018 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('resizeNearestNeighbor', 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.resizeNearestNeighbor([3, 3], false);
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24 | expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);
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25 | });
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26 | it('simple alignCorners=true', async () => {
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27 | const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
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28 | const output = input.resizeNearestNeighbor([3, 3], true);
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29 | expectArraysClose(await output.data(), [2, 2, 2, 4, 4, 4, 4, 4, 4]);
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30 | });
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31 | it('5x2To2x2 alignCorners=false halfPixelCenters=true', async () => {
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32 | const input = tf.tensor4d([1, 2, 3, 4, 5, 1, 2, 3, 4, 5], [1, 2, 5, 1]);
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33 | const output = input.resizeNearestNeighbor([2, 2], false, true);
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34 | expectArraysClose(await output.data(), [2, 4, 2, 4]);
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35 | });
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36 | it('2x2To1x1 alignCorners=false halfPixelCenters=true', async () => {
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37 | const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
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38 | const output = input.resizeNearestNeighbor([1, 1], false, true);
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39 | expectArraysClose(await output.data(), [4]);
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40 | });
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41 | it('2x2To3x3 alignCorners=false halfPixelCenters=true', async () => {
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42 | const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
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43 | const output = input.resizeNearestNeighbor([3, 3], false, true);
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44 | expectArraysClose(await output.data(), [1, 2, 2, 3, 4, 4, 3, 4, 4]);
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45 | });
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46 | it('3x3To2x2 alignCorners=false halfPixelCenters=true', async () => {
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47 | const input = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 3, 3, 1]);
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48 | const output = input.resizeNearestNeighbor([2, 2], false, true);
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49 | expectArraysClose(await output.data(), [1, 3, 7, 9]);
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50 | });
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51 | it('2x2To2x5 alignCorners=false halfPixelCenters=true', async () => {
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52 | const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
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53 | const output = input.resizeNearestNeighbor([2, 5], false, true);
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54 | expectArraysClose(await output.data(), [1, 1, 2, 2, 2, 3, 3, 4, 4, 4]);
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55 | });
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56 | it('4x4To3x3 alignCorners=false halfPixelCenters=true', async () => {
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57 | const input = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4, 1]);
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58 | const output = input.resizeNearestNeighbor([3, 3], false, true);
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59 | expectArraysClose(await output.data(), [1, 3, 4, 9, 11, 12, 13, 15, 16]);
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60 | });
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61 | it('2x2To5x2 alignCorners=false halfPixelCenters=true', async () => {
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62 | const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
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63 | const output = input.resizeNearestNeighbor([5, 2], false, true);
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64 | expectArraysClose(await output.data(), [1, 2, 1, 2, 3, 4, 3, 4, 3, 4]);
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65 | });
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66 | it('2x2To4x4 alignCorners=false halfPixelCenters=true', async () => {
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67 | const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
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68 | const output = input.resizeNearestNeighbor([4, 4], false, true);
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69 | expectArraysClose(await output.data(), [1, 1, 2, 2, 1, 1, 2, 2, 3, 3, 4, 4, 3, 3, 4, 4]);
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70 | });
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71 | it('matches tensorflow w/ random numbers alignCorners=false', async () => {
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72 | const input = tf.tensor3d([
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73 | 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
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74 | 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
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75 | 0.03823943, 1.19864896
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76 | ], [2, 3, 2]);
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77 | const output = input.resizeNearestNeighbor([4, 5], false);
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78 | expectArraysClose(await output.data(), [
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79 | 1.19074047, 0.913731039, 1.19074047, 0.913731039, 2.01611662,
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80 | -0.522708297, 2.01611662, -0.522708297, 0.38725394, 1.30809784,
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81 | 1.19074047, 0.913731039, 1.19074047, 0.913731039, 2.01611662,
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82 | -0.522708297, 2.01611662, -0.522708297, 0.38725394, 1.30809784,
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83 | 0.61835146, 3.49600649, 0.61835146, 3.49600649, 2.09230995,
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84 | 0.564739943, 2.09230995, 0.564739943, 0.0382394306, 1.19864893,
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85 | 0.61835146, 3.49600649, 0.61835146, 3.49600649, 2.09230995,
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86 | 0.564739943, 2.09230995, 0.564739943, 0.0382394306, 1.19864893
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87 | ]);
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88 | });
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89 | it('matches tensorflow w/ random numbers alignCorners=true', async () => {
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90 | const input = tf.tensor3d([
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91 | 1.19074044, 0.91373104, 2.01611669, -0.52270832, 0.38725395,
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92 | 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
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93 | 0.03823943, 1.19864896
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94 | ], [2, 3, 2]);
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95 | const output = input.resizeNearestNeighbor([4, 5], true);
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96 | expectArraysClose(await output.data(), [
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97 | 1.19074044, 0.91373104, 2.01611669, -0.52270832, 2.01611669, -0.52270832,
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98 | 0.38725395, 1.30809779, 0.38725395, 1.30809779, 1.19074044, 0.91373104,
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99 | 2.01611669, -0.52270832, 2.01611669, -0.52270832, 0.38725395, 1.30809779,
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100 | 0.38725395, 1.30809779, 0.61835143, 3.49600659, 2.09230986, 0.56473997,
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101 | 2.09230986, 0.56473997, 0.03823943, 1.19864896, 0.03823943, 1.19864896,
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102 | 0.61835143, 3.49600659, 2.09230986, 0.56473997, 2.09230986, 0.56473997,
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103 | 0.03823943, 1.19864896, 0.03823943, 1.19864896
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104 | ]);
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105 | });
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106 | it('batch of 2, simple, alignCorners=true', async () => {
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107 | const input = tf.tensor4d([2, 2, 4, 4, 3, 3, 5, 5], [2, 2, 2, 1]);
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108 | const output = input.resizeNearestNeighbor([3, 3], true /* alignCorners */);
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109 | expectArraysClose(await output.data(), [2, 2, 2, 4, 4, 4, 4, 4, 4, 3, 3, 3, 5, 5, 5, 5, 5, 5]);
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110 | });
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111 | it('throws when passed a non-tensor', () => {
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112 | const e = /Argument 'images' passed to 'resizeNearestNeighbor' must be a Tensor/;
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113 | expect(() => tf.image.resizeNearestNeighbor({}, [
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114 | 1, 1
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115 | ])).toThrowError(e);
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116 | });
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117 | it('accepts a tensor-like object', async () => {
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118 | const input = [[[2], [2]], [[4], [4]]]; // 2x2x1
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119 | const output = tf.image.resizeNearestNeighbor(input, [3, 3], false);
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120 | expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);
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121 | });
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122 | it('does not throw when some output dim is 1 and alignCorners=true', () => {
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123 | const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);
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124 | expect(() => input.resizeNearestNeighbor([1, 3], true)).not.toThrow();
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125 | });
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126 | });
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127 | describeWithFlags('resizeNearestNeighbor gradients', ALL_ENVS, () => {
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128 | it('greyscale: upscale, same aspect ratio', async () => {
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129 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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130 | const dy = tf.tensor3d([
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131 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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132 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
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133 | ]);
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134 | const size = [4, 4];
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135 | const alignCorners = false;
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136 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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137 | const output = g(input, dy);
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138 | const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);
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139 | expectArraysClose(await output.data(), await expected.data());
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140 | expect(output.shape).toEqual(expected.shape);
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141 | expect(output.dtype).toBe(expected.dtype);
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142 | });
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143 | it('with clones, greyscale: upscale, same aspect ratio', async () => {
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144 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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145 | const dy = tf.tensor3d([
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146 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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147 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
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148 | ]);
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149 | const size = [4, 4];
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150 | const alignCorners = false;
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151 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i.clone(), size, alignCorners)
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152 | .clone());
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153 | const output = g(input, dy);
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154 | const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);
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155 | expectArraysClose(await output.data(), await expected.data());
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156 | expect(output.shape).toEqual(expected.shape);
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157 | expect(output.dtype).toBe(expected.dtype);
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158 | });
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159 | it('greyscale: upscale, same aspect ratio, align corners', async () => {
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160 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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161 | const dy = tf.tensor3d([
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162 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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163 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]]
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164 | ]);
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165 | const size = [4, 4];
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166 | const alignCorners = true;
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167 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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168 | const output = g(input, dy);
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169 | const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);
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170 | expectArraysClose(await output.data(), await expected.data());
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171 | expect(output.shape).toEqual(expected.shape);
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172 | expect(output.dtype).toBe(expected.dtype);
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173 | });
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174 | it('greyscale: upscale, taller than wider', async () => {
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175 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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176 | const dy = tf.tensor3d([
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177 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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178 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
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179 | [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
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180 | [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
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181 | [[33.0], [34.0], [35.0], [36.0]]
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182 | ]);
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183 | const size = [9, 4];
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184 | const alignCorners = false;
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185 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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186 | const output = g(input, dy);
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187 | const expected = tf.tensor3d([[[95.0], [115.0]], [[220.0], [236.0]]]);
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188 | expectArraysClose(await output.data(), await expected.data());
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189 | expect(output.shape).toEqual(expected.shape);
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190 | expect(output.dtype).toBe(expected.dtype);
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191 | });
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192 | it('greyscale: upscale, taller than wider, align corners', async () => {
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193 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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194 | const dy = tf.tensor3d([
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195 | [[1.0], [2.0], [3.0], [4.0]], [[5.0], [6.0], [7.0], [8.0]],
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196 | [[9.0], [10.0], [11.0], [12.0]], [[13.0], [14.0], [15.0], [16.0]],
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197 | [[17.0], [18.0], [19.0], [20.0]], [[21.0], [22.0], [23.0], [24.0]],
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198 | [[25.0], [26.0], [27.0], [28.0]], [[29.0], [30.0], [31.0], [32.0]],
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199 | [[33.0], [34.0], [35.0], [36.0]]
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200 | ]);
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201 | const size = [9, 4];
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202 | const alignCorners = true;
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203 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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204 | const output = g(input, dy);
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205 | const expected = tf.tensor3d([[[60.0], [76.0]], [[255.0], [275.0]]]);
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206 | expectArraysClose(await output.data(), await expected.data());
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207 | expect(output.shape).toEqual(expected.shape);
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208 | expect(output.dtype).toBe(expected.dtype);
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209 | });
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210 | it('greyscale: upscale, wider than taller', async () => {
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211 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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212 | const dy = tf.tensor3d([
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213 | [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
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214 | [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
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215 | [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
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216 | [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
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217 | ]);
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218 | const size = [4, 7];
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219 | const alignCorners = false;
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220 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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221 | const output = g(input, dy);
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222 | const expected = tf.tensor3d([[[48.0], [57.0]], [[160.0], [141.0]]]);
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223 | expectArraysClose(await output.data(), await expected.data());
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224 | expect(output.shape).toEqual(expected.shape);
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225 | expect(output.dtype).toBe(expected.dtype);
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226 | });
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227 | it('greyscale: upscale, wider than taller, align corners', async () => {
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228 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
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229 | const dy = tf.tensor3d([
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230 | [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0]],
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231 | [[8.0], [9.0], [10.0], [11.0], [12.0], [13.0], [14.0]],
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232 | [[15.0], [16.0], [17.0], [18.0], [19.0], [20.0], [21.0]],
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233 | [[22.0], [23.0], [24.0], [25.0], [26.0], [27.0], [28.0]]
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234 | ]);
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235 | const size = [4, 7];
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236 | const alignCorners = true;
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237 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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238 | const output = g(input, dy);
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239 | const expected = tf.tensor3d([[[33.0], [72.0]], [[117.0], [184.0]]]);
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240 | expectArraysClose(await output.data(), await expected.data());
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241 | expect(output.shape).toEqual(expected.shape);
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242 | expect(output.dtype).toBe(expected.dtype);
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243 | });
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244 | //
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245 | // Downscaling
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246 | //
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247 | it('greyscale: downscale, same aspect ratio', async () => {
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248 | const input = tf.tensor3d([
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249 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
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250 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
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251 | ]);
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252 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
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253 | const size = [2, 2];
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254 | const alignCorners = false;
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255 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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256 | const output = g(input, dy);
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257 | const expected = tf.tensor3d([
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258 | [[1.0], [0.0], [2.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],
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259 | [[3.0], [0.0], [4.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]
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260 | ]);
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261 | expectArraysClose(await output.data(), await expected.data());
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262 | expect(output.shape).toEqual(expected.shape);
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263 | expect(output.dtype).toBe(expected.dtype);
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264 | });
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265 | it('greyscale: downscale, same aspect ratio, align corners', async () => {
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266 | const input = tf.tensor3d([
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267 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
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268 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
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269 | ]);
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270 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
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271 | const size = [2, 2];
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272 | const alignCorners = true;
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273 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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274 | const output = g(input, dy);
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275 | const expected = tf.tensor3d([
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276 | [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],
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277 | [[0.0], [0.0], [0.0], [0.0]], [[3.0], [0.0], [0.0], [4.0]]
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278 | ]);
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279 | expectArraysClose(await output.data(), await expected.data());
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280 | expect(output.shape).toEqual(expected.shape);
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281 | expect(output.dtype).toBe(expected.dtype);
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282 | });
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283 | it('greyscale: downscale, taller than wider', async () => {
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284 | const input = tf.tensor3d([
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285 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
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286 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
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287 | ]);
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288 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
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289 | const size = [3, 2];
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290 | const alignCorners = false;
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291 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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292 | const output = g(input, dy);
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293 | const expected = tf.tensor3d([
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294 | [[1.0], [0.0], [2.0], [0.0]], [[3.0], [0.0], [4.0], [0.0]],
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295 | [[5.0], [0.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]
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296 | ]);
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297 | expectArraysClose(await output.data(), await expected.data());
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298 | expect(output.shape).toEqual(expected.shape);
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299 | expect(output.dtype).toBe(expected.dtype);
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300 | });
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301 | it('greyscale: downscale, taller than wider, align corners', async () => {
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302 | const input = tf.tensor3d([
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303 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
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304 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
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305 | ]);
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306 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]);
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307 | const size = [3, 2];
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308 | const alignCorners = true;
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309 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
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310 | const output = g(input, dy);
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311 | const expected = tf.tensor3d([
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312 | [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],
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313 | [[3.0], [0.0], [0.0], [4.0]], [[5.0], [0.0], [0.0], [6.0]]
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314 | ]);
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315 | expectArraysClose(await output.data(), await expected.data());
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316 | expect(output.shape).toEqual(expected.shape);
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317 | expect(output.dtype).toBe(expected.dtype);
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318 | });
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319 | it('greyscale: downscale, taller than wider', async () => {
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320 | const input = tf.tensor3d([
|
321 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
322 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
323 | ]);
|
324 | const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
|
325 | const size = [2, 3];
|
326 | const alignCorners = false;
|
327 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
328 | const output = g(input, dy);
|
329 | const expected = tf.tensor3d([
|
330 | [[1.0], [2.0], [3.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],
|
331 | [[4.0], [5.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]
|
332 | ]);
|
333 | expectArraysClose(await output.data(), await expected.data());
|
334 | expect(output.shape).toEqual(expected.shape);
|
335 | expect(output.dtype).toBe(expected.dtype);
|
336 | });
|
337 | it('greyscale: downscale, taller than wider, align corners', async () => {
|
338 | const input = tf.tensor3d([
|
339 | [[100.0], [50.0], [25.0], [10.0]], [[60.0], [20.0], [80.0], [20.0]],
|
340 | [[40.0], [15.0], [200.0], [203.0]], [[40.0], [10.0], [230.0], [200.0]]
|
341 | ]);
|
342 | const dy = tf.tensor3d([[[1.0], [2.0], [3.0]], [[4.0], [5.0], [6.0]]]);
|
343 | const size = [2, 3];
|
344 | const alignCorners = true;
|
345 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
346 | const output = g(input, dy);
|
347 | const expected = tf.tensor3d([
|
348 | [[1.0], [0.0], [2.0], [3.0]], [[0.0], [0.0], [0.0], [0.0]],
|
349 | [[0.0], [0.0], [0.0], [0.0]], [[4.0], [0.0], [5.0], [6.0]]
|
350 | ]);
|
351 | expectArraysClose(await output.data(), await expected.data());
|
352 | expect(output.shape).toEqual(expected.shape);
|
353 | expect(output.dtype).toBe(expected.dtype);
|
354 | });
|
355 | it('greyscale: downscale, same size', async () => {
|
356 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
|
357 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
358 | const size = [2, 2];
|
359 | const alignCorners = false;
|
360 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
361 | const output = g(input, dy);
|
362 | const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
363 | expectArraysClose(await output.data(), await expected.data());
|
364 | expect(output.shape).toEqual(expected.shape);
|
365 | expect(output.dtype).toBe(expected.dtype);
|
366 | });
|
367 | it('greyscale: downscale, same size, align corners', async () => {
|
368 | const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);
|
369 | const dy = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
370 | const size = [2, 2];
|
371 | const alignCorners = true;
|
372 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
373 | const output = g(input, dy);
|
374 | const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);
|
375 | expectArraysClose(await output.data(), await expected.data());
|
376 | expect(output.shape).toEqual(expected.shape);
|
377 | expect(output.dtype).toBe(expected.dtype);
|
378 | });
|
379 | //
|
380 | // 3 channel images
|
381 | //
|
382 | it('color: upscale, wider than taller', async () => {
|
383 | const input = tf.tensor3d([
|
384 | [
|
385 | [100.26818084716797, 74.61857604980469, 81.62117767333984],
|
386 | [127.86964416503906, 85.0583267211914, 102.95439147949219]
|
387 | ],
|
388 | [
|
389 | [104.3798828125, 96.70733642578125, 92.60601043701172],
|
390 | [77.63021850585938, 68.55794525146484, 96.17212677001953]
|
391 | ]
|
392 | ]);
|
393 | const dy = tf.tensor3d([
|
394 | [
|
395 | [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
|
396 | [13.0, 14.0, 15.0]
|
397 | ],
|
398 | [
|
399 | [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
|
400 | [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
|
401 | ],
|
402 | [
|
403 | [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
|
404 | [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
|
405 | ]
|
406 | ]);
|
407 | const size = [3, 5];
|
408 | const alignCorners = false;
|
409 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
410 | const output = g(input, dy);
|
411 | const expected = tf.tensor3d([
|
412 | [[69.0, 75.0, 81.0], [76.0, 80.0, 84.0]],
|
413 | [[102.0, 105.0, 108.0], [83.0, 85.0, 87.0]]
|
414 | ]);
|
415 | expectArraysClose(await output.data(), await expected.data());
|
416 | expect(output.shape).toEqual(expected.shape);
|
417 | expect(output.dtype).toBe(expected.dtype);
|
418 | });
|
419 | it('color: upscale, wider than taller, align corners', async () => {
|
420 | const input = tf.tensor3d([
|
421 | [
|
422 | [100.26818084716797, 74.61857604980469, 81.62117767333984],
|
423 | [127.86964416503906, 85.0583267211914, 102.95439147949219]
|
424 | ],
|
425 | [
|
426 | [104.3798828125, 96.70733642578125, 92.60601043701172],
|
427 | [77.63021850585938, 68.55794525146484, 96.17212677001953]
|
428 | ]
|
429 | ]);
|
430 | const dy = tf.tensor3d([
|
431 | [
|
432 | [1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0],
|
433 | [13.0, 14.0, 15.0]
|
434 | ],
|
435 | [
|
436 | [16.0, 17.0, 18.0], [19.0, 20.0, 21.0], [22.0, 23.0, 24.0],
|
437 | [25.0, 26.0, 27.0], [28.0, 29.0, 30.0]
|
438 | ],
|
439 | [
|
440 | [31.0, 32.0, 33.0], [34.0, 35.0, 36.0], [37.0, 38.0, 39.0],
|
441 | [40.0, 41.0, 42.0], [43.0, 44.0, 45.0]
|
442 | ]
|
443 | ]);
|
444 | const size = [3, 5];
|
445 | const alignCorners = true;
|
446 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
447 | const output = g(input, dy);
|
448 | const expected = tf.tensor3d([
|
449 | [[5.0, 7.0, 9.0], [30.0, 33.0, 36.0]],
|
450 | [[100.0, 104.0, 108.0], [195.0, 201.0, 207.0]]
|
451 | ]);
|
452 | expectArraysClose(await output.data(), await expected.data());
|
453 | expect(output.shape).toEqual(expected.shape);
|
454 | expect(output.dtype).toBe(expected.dtype);
|
455 | });
|
456 | it('color: downscale, taller than wider', async () => {
|
457 | const input = tf.tensor3d([
|
458 | [
|
459 | [97.98934936523438, 77.24969482421875, 113.70111846923828],
|
460 | [111.34081268310547, 113.15758514404297, 157.90521240234375],
|
461 | [105.77980041503906, 85.75989532470703, 69.62374114990234],
|
462 | [125.94231414794922, 73.11385345458984, 87.03099822998047]
|
463 | ],
|
464 | [
|
465 | [62.25117111206055, 90.23927307128906, 119.1966552734375],
|
466 | [93.55166625976562, 95.9106674194336, 115.56237030029297],
|
467 | [102.98121643066406, 98.1983413696289, 97.55982971191406],
|
468 | [86.47753143310547, 97.04051208496094, 121.50492095947266]
|
469 | ],
|
470 | [
|
471 | [92.4140853881836, 118.45619201660156, 108.0341796875],
|
472 | [126.43061065673828, 123.28077697753906, 121.03379821777344],
|
473 | [128.6694793701172, 98.47042846679688, 114.47464752197266],
|
474 | [93.31566619873047, 95.2713623046875, 102.51188659667969]
|
475 | ],
|
476 | [
|
477 | [101.55884552001953, 83.31947326660156, 119.08016204833984],
|
478 | [128.28546142578125, 92.56212615966797, 74.85054779052734],
|
479 | [88.9786148071289, 119.43685913085938, 73.06110382080078],
|
480 | [98.17908477783203, 105.54570007324219, 93.45832061767578]
|
481 | ]
|
482 | ]);
|
483 | const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
|
484 | const size = [3, 1];
|
485 | const alignCorners = false;
|
486 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
487 | const output = g(input, dy);
|
488 | const expected = tf.tensor3d([
|
489 | [[1.0, 2.0, 3.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
|
490 | [[4.0, 5.0, 6.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
|
491 | [[7.0, 8.0, 9.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
|
492 | [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
|
493 | ]);
|
494 | expectArraysClose(await output.data(), await expected.data());
|
495 | expect(output.shape).toEqual(expected.shape);
|
496 | expect(output.dtype).toBe(expected.dtype);
|
497 | });
|
498 | it('color: downscale, taller than wider, align corners', async () => {
|
499 | const input = tf.tensor3d([
|
500 | [
|
501 | [97.98934936523438, 77.24969482421875, 113.70111846923828],
|
502 | [111.34081268310547, 113.15758514404297, 157.90521240234375],
|
503 | [105.77980041503906, 85.75989532470703, 69.62374114990234],
|
504 | [125.94231414794922, 73.11385345458984, 87.03099822998047]
|
505 | ],
|
506 | [
|
507 | [62.25117111206055, 90.23927307128906, 119.1966552734375],
|
508 | [93.55166625976562, 95.9106674194336, 115.56237030029297],
|
509 | [102.98121643066406, 98.1983413696289, 97.55982971191406],
|
510 | [86.47753143310547, 97.04051208496094, 121.50492095947266]
|
511 | ],
|
512 | [
|
513 | [92.4140853881836, 118.45619201660156, 108.0341796875],
|
514 | [126.43061065673828, 123.28077697753906, 121.03379821777344],
|
515 | [128.6694793701172, 98.47042846679688, 114.47464752197266],
|
516 | [93.31566619873047, 95.2713623046875, 102.51188659667969]
|
517 | ],
|
518 | [
|
519 | [101.55884552001953, 83.31947326660156, 119.08016204833984],
|
520 | [128.28546142578125, 92.56212615966797, 74.85054779052734],
|
521 | [88.9786148071289, 119.43685913085938, 73.06110382080078],
|
522 | [98.17908477783203, 105.54570007324219, 93.45832061767578]
|
523 | ]
|
524 | ]);
|
525 | const dy = tf.tensor3d([[[1.0, 2.0, 3.0]], [[4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0]]]);
|
526 | const size = [3, 1];
|
527 | const alignCorners = true;
|
528 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
529 | const output = g(input, dy);
|
530 | const expected = tf.tensor3d([
|
531 | [[1.0, 2.0, 3.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
|
532 | [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
|
533 | [[4.0, 5.0, 6.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
|
534 | [[7.0, 8.0, 9.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
|
535 | ]);
|
536 | expectArraysClose(await output.data(), await expected.data());
|
537 | expect(output.shape).toEqual(expected.shape);
|
538 | expect(output.dtype).toBe(expected.dtype);
|
539 | });
|
540 | it('color: same size', async () => {
|
541 | const input = tf.tensor3d([
|
542 | [
|
543 | [100.26818084716797, 74.61857604980469, 81.62117767333984],
|
544 | [127.86964416503906, 85.0583267211914, 102.95439147949219]
|
545 | ],
|
546 | [
|
547 | [104.3798828125, 96.70733642578125, 92.60601043701172],
|
548 | [77.63021850585938, 68.55794525146484, 96.17212677001953]
|
549 | ]
|
550 | ]);
|
551 | const dy = tf.tensor3d([
|
552 | [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
|
553 | ]);
|
554 | const size = [2, 2];
|
555 | const alignCorners = false;
|
556 | const g = tf.grad((i) => tf.image.resizeNearestNeighbor(i, size, alignCorners));
|
557 | const output = g(input, dy);
|
558 | const expected = tf.tensor3d([
|
559 | [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]
|
560 | ]);
|
561 | expectArraysClose(await output.data(), await expected.data());
|
562 | expect(output.shape).toEqual(expected.shape);
|
563 | expect(output.dtype).toBe(expected.dtype);
|
564 | });
|
565 | });
|
566 | //# 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* @license\n * Copyright 2018 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('resizeNearestNeighbor', ALL_ENVS, () => {\n  it('simple alignCorners=false', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], false);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);\n  });\n\n  it('simple alignCorners=true', async () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], true);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 4, 4, 4, 4, 4, 4]);\n  });\n\n  it('5x2To2x2 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4, 5, 1, 2, 3, 4, 5], [1, 2, 5, 1]);\n    const output = input.resizeNearestNeighbor([2, 2], false, true);\n\n    expectArraysClose(await output.data(), [2, 4, 2, 4]);\n  });\n\n  it('2x2To1x1 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([1, 1], false, true);\n\n    expectArraysClose(await output.data(), [4]);\n  });\n\n  it('2x2To3x3 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], false, true);\n\n    expectArraysClose(await output.data(), [1, 2, 2, 3, 4, 4, 3, 4, 4]);\n  });\n\n  it('3x3To2x2 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 3, 3, 1]);\n    const output = input.resizeNearestNeighbor([2, 2], false, true);\n\n    expectArraysClose(await output.data(), [1, 3, 7, 9]);\n  });\n\n  it('2x2To2x5 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([2, 5], false, true);\n\n    expectArraysClose(await output.data(), [1, 1, 2, 2, 2, 3, 3, 4, 4, 4]);\n  });\n\n  it('4x4To3x3 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4, 1]);\n    const output = input.resizeNearestNeighbor([3, 3], false, true);\n\n    expectArraysClose(await output.data(), [1, 3, 4, 9, 11, 12, 13, 15, 16]);\n  });\n\n  it('2x2To5x2 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([5, 2], false, true);\n\n    expectArraysClose(await output.data(), [1, 2, 1, 2, 3, 4, 3, 4, 3, 4]);\n  });\n\n  it('2x2To4x4 alignCorners=false halfPixelCenters=true', async () => {\n    const input = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const output = input.resizeNearestNeighbor([4, 4], false, true);\n\n    expectArraysClose(\n        await output.data(), [1, 1, 2, 2, 1, 1, 2, 2, 3, 3, 4, 4, 3, 3, 4, 4]);\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.resizeNearestNeighbor([4, 5], false);\n\n    expectArraysClose(await output.data(), [\n      1.19074047,   0.913731039, 1.19074047,   0.913731039,  2.01611662,\n      -0.522708297, 2.01611662,  -0.522708297, 0.38725394,   1.30809784,\n      1.19074047,   0.913731039, 1.19074047,   0.913731039,  2.01611662,\n      -0.522708297, 2.01611662,  -0.522708297, 0.38725394,   1.30809784,\n      0.61835146,   3.49600649,  0.61835146,   3.49600649,   2.09230995,\n      0.564739943,  2.09230995,  0.564739943,  0.0382394306, 1.19864893,\n      0.61835146,   3.49600649,  0.61835146,   3.49600649,   2.09230995,\n      0.564739943,  2.09230995,  0.564739943,  0.0382394306, 1.19864893\n    ]);\n  });\n\n  it('matches tensorflow w/ random numbers alignCorners=true', 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.resizeNearestNeighbor([4, 5], true);\n\n    expectArraysClose(await output.data(), [\n      1.19074044, 0.91373104,  2.01611669, -0.52270832, 2.01611669, -0.52270832,\n      0.38725395, 1.30809779,  0.38725395, 1.30809779,  1.19074044, 0.91373104,\n      2.01611669, -0.52270832, 2.01611669, -0.52270832, 0.38725395, 1.30809779,\n      0.38725395, 1.30809779,  0.61835143, 3.49600659,  2.09230986, 0.56473997,\n      2.09230986, 0.56473997,  0.03823943, 1.19864896,  0.03823943, 1.19864896,\n      0.61835143, 3.49600659,  2.09230986, 0.56473997,  2.09230986, 0.56473997,\n      0.03823943, 1.19864896,  0.03823943, 1.19864896\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.resizeNearestNeighbor([3, 3], true /* alignCorners */);\n\n    expectArraysClose(\n        await output.data(),\n        [2, 2, 2, 4, 4, 4, 4, 4, 4, 3, 3, 3, 5, 5, 5, 5, 5, 5]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    const e =\n        /Argument 'images' passed to 'resizeNearestNeighbor' must be a Tensor/;\n    expect(() => tf.image.resizeNearestNeighbor({} 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.resizeNearestNeighbor(input, [3, 3], false);\n\n    expectArraysClose(await output.data(), [2, 2, 2, 2, 2, 2, 4, 4, 4]);\n  });\n\n  it('does not throw when some output dim is 1 and alignCorners=true', () => {\n    const input = tf.tensor3d([2, 2, 4, 4], [2, 2, 1]);\n    expect(() => input.resizeNearestNeighbor([1, 3], true)).not.toThrow();\n  });\n});\n\ndescribeWithFlags('resizeNearestNeighbor 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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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.resizeNearestNeighbor(i.clone(), size, alignCorners)\n                .clone());\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[14.0], [22.0]], [[46.0], [54.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[95.0], [115.0]], [[220.0], [236.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[60.0], [76.0]], [[255.0], [275.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[48.0], [57.0]], [[160.0], [141.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[33.0], [72.0]], [[117.0], [184.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  //\n  // Downscaling\n  //\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [2.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[3.0], [0.0], [4.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[0.0], [0.0], [0.0], [0.0]], [[3.0], [0.0], [0.0], [4.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [2.0], [0.0]], [[3.0], [0.0], [4.0], [0.0]],\n      [[5.0], [0.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [0.0], [2.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[3.0], [0.0], [0.0], [4.0]], [[5.0], [0.0], [0.0], [6.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [2.0], [3.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[4.0], [5.0], [6.0], [0.0]], [[0.0], [0.0], [0.0], [0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\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    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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[1.0], [0.0], [2.0], [3.0]], [[0.0], [0.0], [0.0], [0.0]],\n      [[0.0], [0.0], [0.0], [0.0]], [[4.0], [0.0], [5.0], [6.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('greyscale: downscale, same size', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('greyscale: downscale, same size, align corners', async () => {\n    const input = tf.tensor3d([[[100.0], [50.0]], [[60.0], [20.0]]]);\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([[[1.0], [2.0]], [[3.0], [4.0]]]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  //\n  // 3 channel images\n  //\n\n  it('color: upscale, wider than taller', async () => {\n    const input = tf.tensor3d([\n      [\n        [100.26818084716797, 74.61857604980469, 81.62117767333984],\n        [127.86964416503906, 85.0583267211914, 102.95439147949219]\n      ],\n      [\n        [104.3798828125, 96.70733642578125, 92.60601043701172],\n        [77.63021850585938, 68.55794525146484, 96.17212677001953]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[69.0, 75.0, 81.0], [76.0, 80.0, 84.0]],\n      [[102.0, 105.0, 108.0], [83.0, 85.0, 87.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: upscale, wider than taller, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [100.26818084716797, 74.61857604980469, 81.62117767333984],\n        [127.86964416503906, 85.0583267211914, 102.95439147949219]\n      ],\n      [\n        [104.3798828125, 96.70733642578125, 92.60601043701172],\n        [77.63021850585938, 68.55794525146484, 96.17212677001953]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\n      [[5.0, 7.0, 9.0], [30.0, 33.0, 36.0]],\n      [[100.0, 104.0, 108.0], [195.0, 201.0, 207.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: downscale, taller than wider', async () => {\n    const input = tf.tensor3d([\n      [\n        [97.98934936523438, 77.24969482421875, 113.70111846923828],\n        [111.34081268310547, 113.15758514404297, 157.90521240234375],\n        [105.77980041503906, 85.75989532470703, 69.62374114990234],\n        [125.94231414794922, 73.11385345458984, 87.03099822998047]\n      ],\n      [\n        [62.25117111206055, 90.23927307128906, 119.1966552734375],\n        [93.55166625976562, 95.9106674194336, 115.56237030029297],\n        [102.98121643066406, 98.1983413696289, 97.55982971191406],\n        [86.47753143310547, 97.04051208496094, 121.50492095947266]\n      ],\n      [\n        [92.4140853881836, 118.45619201660156, 108.0341796875],\n        [126.43061065673828, 123.28077697753906, 121.03379821777344],\n        [128.6694793701172, 98.47042846679688, 114.47464752197266],\n        [93.31566619873047, 95.2713623046875, 102.51188659667969]\n      ],\n      [\n        [101.55884552001953, 83.31947326660156, 119.08016204833984],\n        [128.28546142578125, 92.56212615966797, 74.85054779052734],\n        [88.9786148071289, 119.43685913085938, 73.06110382080078],\n        [98.17908477783203, 105.54570007324219, 93.45832061767578]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\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      [[4.0, 5.0, 6.0], [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      [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]\n    ]);\n\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: downscale, taller than wider, align corners', async () => {\n    const input = tf.tensor3d([\n      [\n        [97.98934936523438, 77.24969482421875, 113.70111846923828],\n        [111.34081268310547, 113.15758514404297, 157.90521240234375],\n        [105.77980041503906, 85.75989532470703, 69.62374114990234],\n        [125.94231414794922, 73.11385345458984, 87.03099822998047]\n      ],\n      [\n        [62.25117111206055, 90.23927307128906, 119.1966552734375],\n        [93.55166625976562, 95.9106674194336, 115.56237030029297],\n        [102.98121643066406, 98.1983413696289, 97.55982971191406],\n        [86.47753143310547, 97.04051208496094, 121.50492095947266]\n      ],\n      [\n        [92.4140853881836, 118.45619201660156, 108.0341796875],\n        [126.43061065673828, 123.28077697753906, 121.03379821777344],\n        [128.6694793701172, 98.47042846679688, 114.47464752197266],\n        [93.31566619873047, 95.2713623046875, 102.51188659667969]\n      ],\n      [\n        [101.55884552001953, 83.31947326660156, 119.08016204833984],\n        [128.28546142578125, 92.56212615966797, 74.85054779052734],\n        [88.9786148071289, 119.43685913085938, 73.06110382080078],\n        [98.17908477783203, 105.54570007324219, 93.45832061767578]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = tf.tensor3d([\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      [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],\n      [[4.0, 5.0, 6.0], [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\n    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n\n  it('color: same size', async () => {\n    const input = tf.tensor3d([\n      [\n        [100.26818084716797, 74.61857604980469, 81.62117767333984],\n        [127.86964416503906, 85.0583267211914, 102.95439147949219]\n      ],\n      [\n        [104.3798828125, 96.70733642578125, 92.60601043701172],\n        [77.63021850585938, 68.55794525146484, 96.17212677001953]\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) =>\n            tf.image.resizeNearestNeighbor(i, size, alignCorners));\n\n    const output = g(input, dy);\n    const expected = 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    expectArraysClose(await output.data(), await expected.data());\n    expect(output.shape).toEqual(expected.shape);\n    expect(output.dtype).toBe(expected.dtype);\n  });\n});\n"]} |
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