1 | /**
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2 | * @license
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3 | * Copyright 2020 Google Inc. 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('gather', ALL_ENVS, () => {
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21 | it('1D (gather), scalar indices', async () => {
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22 | const t = tf.tensor1d([1, 2, 3]);
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23 | const t2 = tf.gather(t, tf.scalar(1, 'int32'), 0);
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24 | expect(t2.shape).toEqual([]);
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25 | expectArraysClose(await t2.data(), [2]);
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26 | });
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27 | it('1D (gather), 1D indices', async () => {
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28 | const t = tf.tensor1d([1, 2, 3]);
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29 | const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);
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30 | expect(t2.shape).toEqual([4]);
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31 | expectArraysClose(await t2.data(), [1, 3, 1, 2]);
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32 | });
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33 | it('1D (gather), 2D indices', async () => {
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34 | const t = tf.tensor1d([1, 2, 3]);
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35 | const t2 = tf.gather(t, tf.tensor2d([0, 2, 0, 1], [1, 4], 'int32'), 0);
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36 | expect(t2.shape).toEqual([1, 4]);
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37 | expectArraysClose(await t2.data(), [1, 3, 1, 2]);
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38 | });
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39 | it('2D (gather), scalar indices', async () => {
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40 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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41 | let t2 = tf.gather(t, tf.scalar(1, 'int32'), 0);
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42 | expect(t2.shape).toEqual([2]);
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43 | expectArraysClose(await t2.data(), [2, 22]);
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44 | t2 = tf.gather(t, tf.scalar(1, 'int32'), 1);
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45 | expect(t2.shape).toEqual([2]);
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46 | expectArraysClose(await t2.data(), [11, 22]);
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47 | });
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48 | it('2D (gather), 1D indices', async () => {
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49 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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50 | let t2 = tf.gather(t, tf.tensor1d([1, 0, 0, 1], 'int32'), 0);
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51 | expect(t2.shape).toEqual([4, 2]);
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52 | expectArraysClose(await t2.data(), [2, 22, 1, 11, 1, 11, 2, 22]);
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53 | t2 = tf.gather(t, tf.tensor1d([1, 0, 0, 1], 'int32'), 1);
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54 | expect(t2.shape).toEqual([2, 4]);
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55 | expectArraysClose(await t2.data(), [11, 1, 1, 11, 22, 2, 2, 22]);
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56 | });
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57 | it('2D (gather), 2D indices', async () => {
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58 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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59 | let t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 0);
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60 | expect(t2.shape).toEqual([2, 2, 2]);
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61 | expectArraysClose(await t2.data(), [2, 22, 1, 11, 1, 11, 2, 22]);
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62 | t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 1);
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63 | expect(t2.shape).toEqual([2, 2, 2]);
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64 | expectArraysClose(await t2.data(), [11, 1, 1, 11, 22, 2, 2, 22]);
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65 | });
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66 | it('2D (gather), 2D indices, non-zero batchDims', async () => {
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67 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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68 | const t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 1, 1);
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69 | expect(t2.shape).toEqual([2, 2]);
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70 | expectArraysClose(await t2.data(), [11, 1, 2, 22]);
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71 | });
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72 | it('2D (gather), 2D indices, negative batchDims', async () => {
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73 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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74 | const t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 1, -1);
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75 | expect(t2.shape).toEqual([2, 2]);
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76 | expectArraysClose(await t2.data(), [11, 1, 2, 22]);
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77 | });
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78 | it('3D (gather), 1D indices', async () => {
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79 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
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80 | const t2 = tf.gather(t, tf.tensor1d([1, 0, 0, 1], 'int32'), 2);
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81 | expect(t2.shape).toEqual([2, 2, 4]);
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82 | expectArraysClose(await t2.data(), [2, 1, 1, 2, 4, 3, 3, 4, 6, 5, 5, 6, 8, 7, 7, 8]);
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83 | });
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84 | it('3D (gather), 2D indices', async () => {
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85 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
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86 | const t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 2);
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87 | expect(t2.shape).toEqual([2, 2, 2, 2]);
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88 | expectArraysClose(await t2.data(), [2, 1, 1, 2, 4, 3, 3, 4, 6, 5, 5, 6, 8, 7, 7, 8]);
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89 | });
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90 | it('3D (gather), 2D indices, non-zero batchDims', async () => {
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91 | const t = tf.tensor3d([1, 2, 3, 4], [1, 2, 2]);
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92 | const t2 = tf.gather(t, tf.tensor2d([1, 0, 1], [1, 3], 'int32'), 2, 1);
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93 | expect(t2.shape).toEqual([1, 2, 3]);
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94 | expectArraysClose(await t2.data(), [2, 1, 2, 4, 3, 4]);
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95 | });
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96 | it('throws when batch dims greater than axis', () => {
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97 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
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98 | expect(() => tf.gather(t, tf.tensor3d([1, 0, 1], [1, 1, 3], 'int32'), 2, 3))
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99 | .toThrowError(/must be less than or equal to axis/);
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100 | });
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101 | it('throws when batch dims greater than indices rank', () => {
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102 | const t = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2]);
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103 | expect(() => tf.gather(t, tf.tensor2d([1, 0, 1], [1, 3], 'int32'), 2, 3))
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104 | .toThrowError(/Expect batchDims in the range of /);
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105 | });
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106 | it('throws when batch dims do not match', () => {
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107 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
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108 | expect(() => tf.gather(t, tf.tensor2d([1, 0, 1], [1, 3], 'int32'), 2, 1))
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109 | .toThrowError(/should be equal to indices.shape/);
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110 | });
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111 | it('bool (gather), 1D indices', async () => {
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112 | const t = tf.tensor1d([true, false, true], 'bool');
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113 | const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);
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114 | expect(t2.shape).toEqual([4]);
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115 | expect(t2.dtype).toBe('bool');
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116 | expect(await t2.data()).toEqual(new Uint8Array([1, 1, 1, 0]));
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117 | });
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118 | it('bool (gather), 2D indices', async () => {
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119 | const t = tf.tensor1d([true, false, true], 'bool');
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120 | const t2 = tf.gather(t, tf.tensor2d([0, 2, 0, 1], [2, 2], 'int32'), 0);
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121 | expect(t2.shape).toEqual([2, 2]);
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122 | expect(t2.dtype).toBe('bool');
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123 | expect(await t2.data()).toEqual(new Uint8Array([1, 1, 1, 0]));
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124 | });
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125 | it('int32 (gather), 1D indices', async () => {
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126 | const t = tf.tensor1d([1, 2, 5], 'int32');
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127 | const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);
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128 | expect(t2.shape).toEqual([4]);
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129 | expect(t2.dtype).toBe('int32');
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130 | expect(await t2.data()).toEqual(new Int32Array([1, 5, 1, 2]));
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131 | });
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132 | it('int32 (gather), 2D indices', async () => {
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133 | const t = tf.tensor1d([1, 2, 5], 'int32');
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134 | const t2 = tf.gather(t, tf.tensor2d([0, 2, 0, 1], [2, 2], 'int32'), 0);
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135 | expect(t2.shape).toEqual([2, 2]);
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136 | expect(t2.dtype).toBe('int32');
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137 | expect(await t2.data()).toEqual(new Int32Array([1, 5, 1, 2]));
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138 | });
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139 | it('propagates NaNs', async () => {
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140 | const t = tf.tensor1d([1, 2, NaN]);
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141 | const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);
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142 | expect(t2.shape).toEqual([4]);
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143 | expectArraysClose(await t2.data(), [1, NaN, 1, 2]);
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144 | });
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145 | it('chaining, axis=1', () => {
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146 | const x = tf.zeros([2, 4, 6]);
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147 | // [0, 2, 4]
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148 | const indices = tf.range(0, 6, 2, 'int32');
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149 | const axis = 2;
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150 | expect(x.gather(indices, axis).shape).toEqual([2, 4, 3]);
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151 | });
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152 | it('indices not int32 throws error', () => {
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153 | const x = tf.zeros([2, 4, 6]);
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154 | // [0, 2, 4]
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155 | const indices = tf.range(0, 6, 2);
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156 | const axis = 2;
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157 | expect(() => x.gather(indices, axis)).toThrowError();
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158 | });
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159 | it('throws when passed x as a non-tensor', () => {
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160 | expect(() => tf.gather({}, tf.tensor1d([1])))
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161 | .toThrowError(/Argument 'x' passed to 'gather' must be a Tensor/);
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162 | });
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163 | it('throws when passed indices as a non-tensor', () => {
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164 | // tslint:disable-next-line:no-any
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165 | expect(() => tf.gather(tf.tensor1d([1]), {}))
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166 | .toThrowError(/Argument 'indices' passed to 'gather' must be a Tensor/);
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167 | });
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168 | it('throws when index is out of bound', async () => {
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169 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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170 | expect(() => tf.gather(t, tf.tensor1d([100], 'int32')))
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171 | .toThrowError(/GatherV2: the index value 100 is not in \[0, 1\]/);
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172 | expect(() => tf.gather(t, tf.tensor1d([-1], 'int32')))
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173 | .toThrowError(/GatherV2: the index value -1 is not in \[0, 1\]/);
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174 | });
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175 | it('accepts a tensor-like object', async () => {
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176 | const res = tf.gather([1, 2, 3], [0, 2, 0, 1], 0);
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177 | expect(res.shape).toEqual([4]);
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178 | expectArraysClose(await res.data(), [1, 3, 1, 2]);
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179 | });
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180 | it('gradient 1D (gather), 1D indices', async () => {
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181 | const t = tf.tensor1d([1, 2, 3]);
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182 | const indices = tf.tensor1d([0, 2, 0, 1], 'int32');
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183 | const dy = tf.tensor([3, 4, 5, 6]);
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184 | const gradients = tf.grad(t => tf.gather(t, indices))(t, dy);
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185 | expect(gradients.shape).toEqual(t.shape);
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186 | expectArraysClose(await gradients.data(), [8, 6, 4]);
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187 | });
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188 | it('gradient with clones', () => {
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189 | const t = tf.tensor1d([1, 2, 3]);
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190 | const indices = tf.tensor1d([0, 2, 0, 1], 'int32');
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191 | const gradF = tf.grad(t => tf.gather(t.clone(), indices.clone()).clone());
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192 | const dt = gradF(t);
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193 | expect(dt.shape).toEqual(t.shape);
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194 | });
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195 | it('gradient 1D (gather), 2D indices', async () => {
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196 | const t = tf.tensor1d([1, 2, 3]);
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197 | const indices = tf.tensor2d([0, 2, 0, 1], [2, 2], 'int32');
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198 | const dy = tf.tensor2d([3, 4, 5, 6], [2, 2]);
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199 | const gradients = tf.grad(t => tf.gather(t, indices))(t, dy);
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200 | expect(gradients.shape).toEqual(t.shape);
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201 | expectArraysClose(await gradients.data(), [8, 6, 4]);
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202 | });
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203 | it('gradient 2D (gather) axis=0 shape=[2, 2] 1D indices', async () => {
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204 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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205 | const indices = tf.tensor1d([1, 0, 0, 1], 'int32');
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206 | const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [4, 2]);
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207 | const axis = 0;
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208 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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209 | expect(gradients.shape).toEqual(t.shape);
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210 | expectArraysClose(await gradients.data(), [12, 14, 12, 14]);
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211 | });
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212 | it('gradient 2D (gather) axis=0 shape=[2, 2] 2D indices', async () => {
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213 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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214 | const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');
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215 | const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [2, 2, 2]);
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216 | const axis = 0;
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217 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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218 | expect(gradients.shape).toEqual(t.shape);
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219 | expectArraysClose(await gradients.data(), [12, 14, 12, 14]);
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220 | });
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221 | it('gradient 2D (gather) axis=0 shape=[4, 1] 1D indices', async () => {
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222 | const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);
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223 | const indices = tf.tensor1d([1, 0, 0, 1], 'int32');
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224 | const dy = tf.tensor([23, 7, 19, 13], [4, 1]);
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225 | const axis = 0;
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226 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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227 | expect(gradients.shape).toEqual(t.shape);
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228 | expectArraysClose(await gradients.data(), [26, 36, 0, 0]);
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229 | });
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230 | it('gradient 2D (gather) axis=0 shape=[4, 1] 2D indices', async () => {
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231 | const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);
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232 | const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');
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233 | const dy = tf.tensor([23, 7, 19, 13], [2, 2, 1]);
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234 | const axis = 0;
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235 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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236 | expect(gradients.shape).toEqual(t.shape);
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237 | expectArraysClose(await gradients.data(), [26, 36, 0, 0]);
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238 | });
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239 | it('gradient 2D (gather) axis=1 shape=[2, 2] 1D indices', async () => {
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240 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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241 | const indices = tf.tensor1d([1, 0, 0, 1], 'int32');
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242 | const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [2, 4]);
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243 | const axis = 1;
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244 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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245 | expect(gradients.shape).toEqual(t.shape);
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246 | expectArraysClose(await gradients.data(), [9, 9, 17, 17]);
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247 | });
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248 | it('gradient 2D (gather) axis=1 shape=[2, 2] 2D indices', async () => {
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249 | const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);
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250 | const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');
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251 | const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [2, 2, 2]);
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252 | const axis = 1;
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253 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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254 | expect(gradients.shape).toEqual(t.shape);
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255 | expectArraysClose(await gradients.data(), [9, 9, 17, 17]);
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256 | });
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257 | it('gradient 2D (gather) axis=1 shape=[4, 1] 1D indices', async () => {
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258 | const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);
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259 | const indices = tf.tensor1d([0, 0, 0, 0], 'int32');
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260 | const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [4, 4]);
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261 | const axis = 1;
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262 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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263 | expect(gradients.shape).toEqual(t.shape);
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264 | expectArraysClose(await gradients.data(), [18, 34, 50, 66]);
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265 | });
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266 | it('gradient 2D (gather) axis=1 shape=[4, 1] 2D indices', async () => {
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267 | const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);
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268 | const indices = tf.tensor2d([0, 0, 0, 0], [2, 2], 'int32');
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269 | const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [4, 2, 2]);
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270 | const axis = 1;
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271 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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272 | expect(gradients.shape).toEqual(t.shape);
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273 | expectArraysClose(await gradients.data(), [18, 34, 50, 66]);
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274 | });
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275 | it('gradient 3D (gather) axis=0 shape=[2, 3, 2] 1D indices', async () => {
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276 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);
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277 | const indices = tf.tensor1d([1, 0, 0, 1], 'int32');
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278 | const dy = tf.tensor([
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279 | 2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13,
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280 | 4, 15, 12, -7, 18, 19, 2, 21, 6, 23, 24, 25
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281 | ], [4, 3, 2]);
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282 | const axis = 0;
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283 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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284 | expect(gradients.shape).toEqual(t.shape);
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285 | expectArraysClose(await gradients.data(), [5, 33, 12.01, -7, 30, 32, 4, 18, 10, 38, 30, 25.7]);
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286 | });
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287 | it('gradient 3D (gather) axis=0 shape=[2, 3, 2] 2D indices', async () => {
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288 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);
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289 | const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');
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290 | const dy = tf.tensor([
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291 | 2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13,
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292 | 4, 15, 12, -7, 18, 19, 2, 21, 6, 23, 24, 25
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293 | ], [2, 2, 3, 2]);
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294 | const axis = 0;
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295 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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296 | expect(gradients.shape).toEqual(t.shape);
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297 | expectArraysClose(await gradients.data(), [5, 33, 12.01, -7, 30, 32, 4, 18, 10, 38, 30, 25.7]);
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298 | });
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299 | it('gradient 3D (gather) axis=0 shape=[1, 4, 4]', async () => {
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300 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);
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301 | const indices = tf.tensor1d([0, 0], 'int32');
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302 | const dy = tf.tensor([
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303 | 2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7,
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304 | 18, 19, 2, 21, 6, 23, 24, 25, 101, 31, 34, 54, 1, 0, -3, -4
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305 | ], [2, 4, 4]);
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306 | const axis = 0;
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307 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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308 | expect(gradients.shape).toEqual(t.shape);
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309 | expectArraysClose(await gradients.data(), [20, 16, 6, 36, 12, 23.7, 25, 43, 101.01, 31, 46, 67, 5, 15, 9, -11]);
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310 | });
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311 | it('gradient 3D (gather) axis=0 shape=[1, 4, 4] 1D indices', async () => {
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312 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);
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313 | const indices = tf.tensor1d([0, 0], 'int32');
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314 | const dy = tf.tensor([
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315 | 2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7,
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316 | 18, 19, 2, 21, 6, 23, 24, 25, 101, 31, 34, 54, 1, 0, -3, -4
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317 | ], [2, 4, 4]);
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318 | const axis = 0;
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319 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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320 | expect(gradients.shape).toEqual(t.shape);
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321 | expectArraysClose(await gradients.data(), [20, 16, 6, 36, 12, 23.7, 25, 43, 101.01, 31, 46, 67, 5, 15, 9, -11]);
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322 | });
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323 | it('gradient 3D (gather) axis=1 shape=[2, 3, 2] 2D indices', async () => {
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324 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);
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325 | const indices = tf.tensor2d([1, 2, 2, 1], [2, 2], 'int32');
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326 | const dy = tf.tensor([2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7], [2, 2, 2, 2]);
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327 | const axis = 1;
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328 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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329 | expect(gradients.shape).toEqual(t.shape);
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330 | expectArraysClose(await gradients.data(), [0, 0, 3, 15, 10, 15.7, 0, 0, 12.01, -7, 16, 28]);
|
331 | });
|
332 | it('gradient 3D (gather) axis=1 shape=[1, 4, 4] 1D indices', async () => {
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333 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);
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334 | const indices = tf.tensor1d([1, 2, 2, 1], 'int32');
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335 | const dy = tf.tensor([2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7], [1, 4, 4]);
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336 | const axis = 1;
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337 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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338 | expect(gradients.shape).toEqual(t.shape);
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339 | expectArraysClose(await gradients.data(), [0, 0, 0, 0, 6, 12, 16, 8, 6.01, .7, 13, 31, 0, 0, 0, 0]);
|
340 | });
|
341 | it('gradient 3D (gather) axis=1 shape=[1, 4, 4] 2D indices', async () => {
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342 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);
|
343 | const indices = tf.tensor2d([1, 2, 2, 1], [2, 2], 'int32');
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344 | const dy = tf.tensor([2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7], [1, 2, 2, 4]);
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345 | const axis = 1;
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346 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
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347 | expect(gradients.shape).toEqual(t.shape);
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348 | expectArraysClose(await gradients.data(), [0, 0, 0, 0, 6, 12, 16, 8, 6.01, .7, 13, 31, 0, 0, 0, 0]);
|
349 | });
|
350 | it('gradient 3D (gather) axis=2 shape=[2, 3, 2] 1D indices', async () => {
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351 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);
|
352 | const indices = tf.tensor1d([1, 0, 1, 0], 'int32');
|
353 | const dy = tf.tensor([
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354 | 2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13,
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355 | 4, 15, 12, -7, 18, 19, 2, 21, 6, 23, 24, 25
|
356 | ], [2, 3, 4]);
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357 | const axis = 2;
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358 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
|
359 | expect(gradients.shape).toEqual(t.shape);
|
360 | expectArraysClose(await gradients.data(), [12, 6, 18.7, 7, 13, 12.01, 8, 16, 40, 20, 48, 30]);
|
361 | });
|
362 | it('gradient 3D (gather) axis=2 shape=[2, 3, 2] 2D indices', async () => {
|
363 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);
|
364 | const indices = tf.tensor2d([1, 0, 1, 0], [2, 2], 'int32');
|
365 | const dy = tf.tensor([
|
366 | 2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13,
|
367 | 4, 15, 12, -7, 18, 19, 2, 21, 6, 23, 24, 25
|
368 | ], [2, 3, 2, 2]);
|
369 | const axis = 2;
|
370 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
|
371 | expect(gradients.shape).toEqual(t.shape);
|
372 | expectArraysClose(await gradients.data(), [12, 6, 18.7, 7, 13, 12.01, 8, 16, 40, 20, 48, 30]);
|
373 | });
|
374 | it('gradient 3D (gather) axis=2 shape=[4, 1, 4] 1D indices', async () => {
|
375 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [4, 1, 4]);
|
376 | const indices = tf.tensor1d([1, 3, 1], 'int32');
|
377 | const dy = tf.tensor([2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 4, 15], [4, 1, 3]);
|
378 | const axis = 2;
|
379 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
|
380 | expect(gradients.shape).toEqual(t.shape);
|
381 | expectArraysClose(await gradients.data(), [0, 6, 0, -3, 0, 15.7, 0, 6, 0, 1.01, 0, 18, 0, 15, 0, 4]);
|
382 | });
|
383 | it('gradient 3D (gather) axis=2 shape=[4, 1, 4] 2D indices', async () => {
|
384 | const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [4, 1, 4]);
|
385 | const indices = tf.tensor2d([1, 3, 1], [1, 3], 'int32');
|
386 | const dy = tf.tensor([2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 4, 15], [4, 1, 1, 3]);
|
387 | const axis = 2;
|
388 | const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);
|
389 | expect(gradients.shape).toEqual(t.shape);
|
390 | expectArraysClose(await gradients.data(), [0, 6, 0, -3, 0, 15.7, 0, 6, 0, 1.01, 0, 18, 0, 15, 0, 4]);
|
391 | });
|
392 | it('ensure no memory leak', async () => {
|
393 | const numTensorsBefore = tf.memory().numTensors;
|
394 | const numDataIdBefore = tf.engine().backend.numDataIds();
|
395 | const t = tf.tensor1d([1, 2, 3]);
|
396 | const t1 = tf.scalar(1, 'int32');
|
397 | const t2 = tf.gather(t, t1, 0);
|
398 | expect(t2.shape).toEqual([]);
|
399 | expectArraysClose(await t2.data(), [2]);
|
400 | t.dispose();
|
401 | t1.dispose();
|
402 | t2.dispose();
|
403 | const numTensorsAfter = tf.memory().numTensors;
|
404 | const numDataIdAfter = tf.engine().backend.numDataIds();
|
405 | expect(numTensorsAfter).toBe(numTensorsBefore);
|
406 | expect(numDataIdAfter).toBe(numDataIdBefore);
|
407 | });
|
408 | });
|
409 | //# 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* @license\n * Copyright 2020 Google Inc. 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('gather', ALL_ENVS, () => {\n  it('1D (gather), scalar indices', async () => {\n    const t = tf.tensor1d([1, 2, 3]);\n\n    const t2 = tf.gather(t, tf.scalar(1, 'int32'), 0);\n\n    expect(t2.shape).toEqual([]);\n    expectArraysClose(await t2.data(), [2]);\n  });\n\n  it('1D (gather), 1D indices', async () => {\n    const t = tf.tensor1d([1, 2, 3]);\n\n    const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);\n\n    expect(t2.shape).toEqual([4]);\n    expectArraysClose(await t2.data(), [1, 3, 1, 2]);\n  });\n\n  it('1D (gather), 2D indices', async () => {\n    const t = tf.tensor1d([1, 2, 3]);\n\n    const t2 = tf.gather(t, tf.tensor2d([0, 2, 0, 1], [1, 4], 'int32'), 0);\n\n    expect(t2.shape).toEqual([1, 4]);\n    expectArraysClose(await t2.data(), [1, 3, 1, 2]);\n  });\n\n  it('2D (gather), scalar indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    let t2 = tf.gather(t, tf.scalar(1, 'int32'), 0);\n    expect(t2.shape).toEqual([2]);\n    expectArraysClose(await t2.data(), [2, 22]);\n\n    t2 = tf.gather(t, tf.scalar(1, 'int32'), 1);\n    expect(t2.shape).toEqual([2]);\n    expectArraysClose(await t2.data(), [11, 22]);\n  });\n\n  it('2D (gather), 1D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    let t2 = tf.gather(t, tf.tensor1d([1, 0, 0, 1], 'int32'), 0);\n    expect(t2.shape).toEqual([4, 2]);\n    expectArraysClose(await t2.data(), [2, 22, 1, 11, 1, 11, 2, 22]);\n\n    t2 = tf.gather(t, tf.tensor1d([1, 0, 0, 1], 'int32'), 1);\n    expect(t2.shape).toEqual([2, 4]);\n    expectArraysClose(await t2.data(), [11, 1, 1, 11, 22, 2, 2, 22]);\n  });\n\n  it('2D (gather), 2D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    let t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 0);\n    expect(t2.shape).toEqual([2, 2, 2]);\n    expectArraysClose(await t2.data(), [2, 22, 1, 11, 1, 11, 2, 22]);\n\n    t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 1);\n    expect(t2.shape).toEqual([2, 2, 2]);\n    expectArraysClose(await t2.data(), [11, 1, 1, 11, 22, 2, 2, 22]);\n  });\n\n  it('2D (gather), 2D indices, non-zero batchDims', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    const t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 1, 1);\n    expect(t2.shape).toEqual([2, 2]);\n    expectArraysClose(await t2.data(), [11, 1, 2, 22]);\n  });\n\n  it('2D (gather), 2D indices, negative batchDims', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    const t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 1, -1);\n    expect(t2.shape).toEqual([2, 2]);\n    expectArraysClose(await t2.data(), [11, 1, 2, 22]);\n  });\n\n  it('3D (gather), 1D indices', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);\n\n    const t2 = tf.gather(t, tf.tensor1d([1, 0, 0, 1], 'int32'), 2);\n\n    expect(t2.shape).toEqual([2, 2, 4]);\n    expectArraysClose(\n        await t2.data(), [2, 1, 1, 2, 4, 3, 3, 4, 6, 5, 5, 6, 8, 7, 7, 8]);\n  });\n\n  it('3D (gather), 2D indices', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);\n\n    const t2 = tf.gather(t, tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32'), 2);\n\n    expect(t2.shape).toEqual([2, 2, 2, 2]);\n    expectArraysClose(\n        await t2.data(), [2, 1, 1, 2, 4, 3, 3, 4, 6, 5, 5, 6, 8, 7, 7, 8]);\n  });\n\n  it('3D (gather), 2D indices, non-zero batchDims', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4], [1, 2, 2]);\n\n    const t2 = tf.gather(t, tf.tensor2d([1, 0, 1], [1, 3], 'int32'), 2, 1);\n\n    expect(t2.shape).toEqual([1, 2, 3]);\n    expectArraysClose(await t2.data(), [2, 1, 2, 4, 3, 4]);\n  });\n\n  it('throws when batch dims greater than axis', () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);\n\n    expect(() => tf.gather(t, tf.tensor3d([1, 0, 1], [1, 1, 3], 'int32'), 2, 3))\n        .toThrowError(/must be less than or equal to axis/);\n  });\n\n  it('throws when batch dims greater than indices rank', () => {\n    const t = tf.tensor4d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2]);\n\n    expect(() => tf.gather(t, tf.tensor2d([1, 0, 1], [1, 3], 'int32'), 2, 3))\n        .toThrowError(/Expect batchDims in the range of /);\n  });\n\n  it('throws when batch dims do not match', () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);\n\n    expect(() => tf.gather(t, tf.tensor2d([1, 0, 1], [1, 3], 'int32'), 2, 1))\n        .toThrowError(/should be equal to indices.shape/);\n  });\n\n  it('bool (gather), 1D indices', async () => {\n    const t = tf.tensor1d([true, false, true], 'bool');\n\n    const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);\n\n    expect(t2.shape).toEqual([4]);\n    expect(t2.dtype).toBe('bool');\n    expect(await t2.data()).toEqual(new Uint8Array([1, 1, 1, 0]));\n  });\n\n  it('bool (gather), 2D indices', async () => {\n    const t = tf.tensor1d([true, false, true], 'bool');\n\n    const t2 = tf.gather(t, tf.tensor2d([0, 2, 0, 1], [2, 2], 'int32'), 0);\n\n    expect(t2.shape).toEqual([2, 2]);\n    expect(t2.dtype).toBe('bool');\n    expect(await t2.data()).toEqual(new Uint8Array([1, 1, 1, 0]));\n  });\n\n  it('int32 (gather), 1D indices', async () => {\n    const t = tf.tensor1d([1, 2, 5], 'int32');\n\n    const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);\n\n    expect(t2.shape).toEqual([4]);\n    expect(t2.dtype).toBe('int32');\n    expect(await t2.data()).toEqual(new Int32Array([1, 5, 1, 2]));\n  });\n\n  it('int32 (gather), 2D indices', async () => {\n    const t = tf.tensor1d([1, 2, 5], 'int32');\n\n    const t2 = tf.gather(t, tf.tensor2d([0, 2, 0, 1], [2, 2], 'int32'), 0);\n\n    expect(t2.shape).toEqual([2, 2]);\n    expect(t2.dtype).toBe('int32');\n    expect(await t2.data()).toEqual(new Int32Array([1, 5, 1, 2]));\n  });\n\n  it('propagates NaNs', async () => {\n    const t = tf.tensor1d([1, 2, NaN]);\n\n    const t2 = tf.gather(t, tf.tensor1d([0, 2, 0, 1], 'int32'), 0);\n\n    expect(t2.shape).toEqual([4]);\n    expectArraysClose(await t2.data(), [1, NaN, 1, 2]);\n  });\n\n  it('chaining, axis=1', () => {\n    const x = tf.zeros([2, 4, 6]);\n    // [0, 2, 4]\n    const indices = tf.range(0, 6, 2, 'int32');\n    const axis = 2;\n    expect(x.gather(indices, axis).shape).toEqual([2, 4, 3]);\n  });\n\n  it('indices not int32 throws error', () => {\n    const x = tf.zeros([2, 4, 6]);\n    // [0, 2, 4]\n    const indices = tf.range(0, 6, 2);\n    const axis = 2;\n    expect(() => x.gather(indices, axis)).toThrowError();\n  });\n\n  it('throws when passed x as a non-tensor', () => {\n    expect(() => tf.gather({} as tf.Tensor, tf.tensor1d([1])))\n        .toThrowError(/Argument 'x' passed to 'gather' must be a Tensor/);\n  });\n\n  it('throws when passed indices as a non-tensor', () => {\n    // tslint:disable-next-line:no-any\n    expect(() => tf.gather(tf.tensor1d([1]), {} as any))\n        .toThrowError(/Argument 'indices' passed to 'gather' must be a Tensor/);\n  });\n\n  it('throws when index is out of bound', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    expect(() => tf.gather(t, tf.tensor1d([100], 'int32')))\n        .toThrowError(/GatherV2: the index value 100 is not in \\[0, 1\\]/);\n    expect(() => tf.gather(t, tf.tensor1d([-1], 'int32')))\n        .toThrowError(/GatherV2: the index value -1 is not in \\[0, 1\\]/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const res = tf.gather([1, 2, 3], [0, 2, 0, 1], 0);\n    expect(res.shape).toEqual([4]);\n    expectArraysClose(await res.data(), [1, 3, 1, 2]);\n  });\n\n  it('gradient 1D (gather), 1D indices', async () => {\n    const t = tf.tensor1d([1, 2, 3]);\n    const indices = tf.tensor1d([0, 2, 0, 1], 'int32');\n    const dy = tf.tensor([3, 4, 5, 6]);\n\n    const gradients = tf.grad(t => tf.gather(t, indices))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [8, 6, 4]);\n  });\n\n  it('gradient with clones', () => {\n    const t = tf.tensor1d([1, 2, 3]);\n    const indices = tf.tensor1d([0, 2, 0, 1], 'int32');\n    const gradF = tf.grad(t => tf.gather(t.clone(), indices.clone()).clone());\n    const dt = gradF(t);\n    expect(dt.shape).toEqual(t.shape);\n  });\n\n  it('gradient 1D (gather), 2D indices', async () => {\n    const t = tf.tensor1d([1, 2, 3]);\n    const indices = tf.tensor2d([0, 2, 0, 1], [2, 2], 'int32');\n    const dy = tf.tensor2d([3, 4, 5, 6], [2, 2]);\n\n    const gradients = tf.grad(t => tf.gather(t, indices))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [8, 6, 4]);\n  });\n\n  it('gradient 2D (gather) axis=0 shape=[2, 2] 1D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    const indices = tf.tensor1d([1, 0, 0, 1], 'int32');\n    const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [4, 2]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [12, 14, 12, 14]);\n  });\n\n  it('gradient 2D (gather) axis=0 shape=[2, 2] 2D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');\n    const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [2, 2, 2]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [12, 14, 12, 14]);\n  });\n\n  it('gradient 2D (gather) axis=0 shape=[4, 1] 1D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);\n    const indices = tf.tensor1d([1, 0, 0, 1], 'int32');\n    const dy = tf.tensor([23, 7, 19, 13], [4, 1]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [26, 36, 0, 0]);\n  });\n\n  it('gradient 2D (gather) axis=0 shape=[4, 1] 2D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);\n    const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');\n    const dy = tf.tensor([23, 7, 19, 13], [2, 2, 1]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [26, 36, 0, 0]);\n  });\n\n  it('gradient 2D (gather) axis=1 shape=[2, 2] 1D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    const indices = tf.tensor1d([1, 0, 0, 1], 'int32');\n    const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [2, 4]);\n    const axis = 1;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [9, 9, 17, 17]);\n  });\n\n  it('gradient 2D (gather) axis=1 shape=[2, 2] 2D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [2, 2]);\n    const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');\n    const dy = tf.tensor([3, 4, 5, 6, 7, 8, 9, 10], [2, 2, 2]);\n    const axis = 1;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [9, 9, 17, 17]);\n  });\n\n  it('gradient 2D (gather) axis=1 shape=[4, 1] 1D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);\n    const indices = tf.tensor1d([0, 0, 0, 0], 'int32');\n    const dy = tf.tensor(\n        [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [4, 4]);\n    const axis = 1;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [18, 34, 50, 66]);\n  });\n\n  it('gradient 2D (gather) axis=1 shape=[4, 1] 2D indices', async () => {\n    const t = tf.tensor2d([1, 11, 2, 22], [4, 1]);\n    const indices = tf.tensor2d([0, 0, 0, 0], [2, 2], 'int32');\n    const dy = tf.tensor(\n        [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [4, 2, 2]);\n    const axis = 1;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(await gradients.data(), [18, 34, 50, 66]);\n  });\n\n  it('gradient 3D (gather) axis=0 shape=[2, 3, 2] 1D indices', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);\n    const indices = tf.tensor1d([1, 0, 0, 1], 'int32');\n    const dy = tf.tensor(\n        [\n          2, -3, 4,  15, 6,  0.7, 1, 18, 0.01, 0,  12, 13,\n          4, 15, 12, -7, 18, 19,  2, 21, 6,    23, 24, 25\n        ],\n        [4, 3, 2]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [5, 33, 12.01, -7, 30, 32, 4, 18, 10, 38, 30, 25.7]);\n  });\n\n  it('gradient 3D (gather) axis=0 shape=[2, 3, 2] 2D indices', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);\n    const indices = tf.tensor2d([1, 0, 0, 1], [2, 2], 'int32');\n    const dy = tf.tensor(\n        [\n          2, -3, 4,  15, 6,  0.7, 1, 18, 0.01, 0,  12, 13,\n          4, 15, 12, -7, 18, 19,  2, 21, 6,    23, 24, 25\n        ],\n        [2, 2, 3, 2]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [5, 33, 12.01, -7, 30, 32, 4, 18, 10, 38, 30, 25.7]);\n  });\n\n  it('gradient 3D (gather) axis=0 shape=[1, 4, 4]', async () => {\n    const t = tf.tensor3d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);\n    const indices = tf.tensor1d([0, 0], 'int32');\n    const dy = tf.tensor(\n        [\n          2,  -3, 4, 15, 6, 0.7, 1,  18, 0.01, 0,  12, 13, 4, 15, 12, -7,\n          18, 19, 2, 21, 6, 23,  24, 25, 101,  31, 34, 54, 1, 0,  -3, -4\n        ],\n        [2, 4, 4]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [20, 16, 6, 36, 12, 23.7, 25, 43, 101.01, 31, 46, 67, 5, 15, 9, -11]);\n  });\n\n  it('gradient 3D (gather) axis=0 shape=[1, 4, 4] 1D indices', async () => {\n    const t = tf.tensor3d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);\n    const indices = tf.tensor1d([0, 0], 'int32');\n    const dy = tf.tensor(\n        [\n          2,  -3, 4, 15, 6, 0.7, 1,  18, 0.01, 0,  12, 13, 4, 15, 12, -7,\n          18, 19, 2, 21, 6, 23,  24, 25, 101,  31, 34, 54, 1, 0,  -3, -4\n        ],\n        [2, 4, 4]);\n    const axis = 0;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [20, 16, 6, 36, 12, 23.7, 25, 43, 101.01, 31, 46, 67, 5, 15, 9, -11]);\n  });\n\n  it('gradient 3D (gather) axis=1 shape=[2, 3, 2] 2D indices', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);\n    const indices = tf.tensor2d([1, 2, 2, 1], [2, 2], 'int32');\n    const dy = tf.tensor(\n        [2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7],\n        [2, 2, 2, 2]);\n    const axis = 1;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [0, 0, 3, 15, 10, 15.7, 0, 0, 12.01, -7, 16, 28]);\n  });\n\n  it('gradient 3D (gather) axis=1 shape=[1, 4, 4] 1D indices', async () => {\n    const t = tf.tensor3d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);\n    const indices = tf.tensor1d([1, 2, 2, 1], 'int32');\n    const dy = tf.tensor(\n        [2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7],\n        [1, 4, 4]);\n    const axis = 1;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [0, 0, 0, 0, 6, 12, 16, 8, 6.01, .7, 13, 31, 0, 0, 0, 0]);\n  });\n\n  it('gradient 3D (gather) axis=1 shape=[1, 4, 4] 2D indices', async () => {\n    const t = tf.tensor3d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 4, 4]);\n    const indices = tf.tensor2d([1, 2, 2, 1], [2, 2], 'int32');\n    const dy = tf.tensor(\n        [2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 12, 13, 4, 15, 12, -7],\n        [1, 2, 2, 4]);\n    const axis = 1;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [0, 0, 0, 0, 6, 12, 16, 8, 6.01, .7, 13, 31, 0, 0, 0, 0]);\n  });\n\n  it('gradient 3D (gather) axis=2 shape=[2, 3, 2] 1D indices', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);\n    const indices = tf.tensor1d([1, 0, 1, 0], 'int32');\n    const dy = tf.tensor(\n        [\n          2, -3, 4,  15, 6,  0.7, 1, 18, 0.01, 0,  12, 13,\n          4, 15, 12, -7, 18, 19,  2, 21, 6,    23, 24, 25\n        ],\n        [2, 3, 4]);\n    const axis = 2;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [12, 6, 18.7, 7, 13, 12.01, 8, 16, 40, 20, 48, 30]);\n  });\n\n  it('gradient 3D (gather) axis=2 shape=[2, 3, 2] 2D indices', async () => {\n    const t = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [2, 3, 2]);\n    const indices = tf.tensor2d([1, 0, 1, 0], [2, 2], 'int32');\n    const dy = tf.tensor(\n        [\n          2, -3, 4,  15, 6,  0.7, 1, 18, 0.01, 0,  12, 13,\n          4, 15, 12, -7, 18, 19,  2, 21, 6,    23, 24, 25\n        ],\n        [2, 3, 2, 2]);\n    const axis = 2;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [12, 6, 18.7, 7, 13, 12.01, 8, 16, 40, 20, 48, 30]);\n  });\n\n  it('gradient 3D (gather) axis=2 shape=[4, 1, 4] 1D indices', async () => {\n    const t = tf.tensor3d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [4, 1, 4]);\n    const indices = tf.tensor1d([1, 3, 1], 'int32');\n    const dy =\n        tf.tensor([2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 4, 15], [4, 1, 3]);\n    const axis = 2;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [0, 6, 0, -3, 0, 15.7, 0, 6, 0, 1.01, 0, 18, 0, 15, 0, 4]);\n  });\n\n  it('gradient 3D (gather) axis=2 shape=[4, 1, 4] 2D indices', async () => {\n    const t = tf.tensor3d(\n        [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [4, 1, 4]);\n    const indices = tf.tensor2d([1, 3, 1], [1, 3], 'int32');\n    const dy =\n        tf.tensor([2, -3, 4, 15, 6, 0.7, 1, 18, 0.01, 0, 4, 15], [4, 1, 1, 3]);\n    const axis = 2;\n\n    const gradients = tf.grad(t => tf.gather(t, indices, axis))(t, dy);\n\n    expect(gradients.shape).toEqual(t.shape);\n    expectArraysClose(\n        await gradients.data(),\n        [0, 6, 0, -3, 0, 15.7, 0, 6, 0, 1.01, 0, 18, 0, 15, 0, 4]);\n  });\n\n  it('ensure no memory leak', async () => {\n    const numTensorsBefore = tf.memory().numTensors;\n    const numDataIdBefore = tf.engine().backend.numDataIds();\n    const t = tf.tensor1d([1, 2, 3]);\n    const t1 = tf.scalar(1, 'int32');\n    const t2 = tf.gather(t, t1, 0);\n\n    expect(t2.shape).toEqual([]);\n    expectArraysClose(await t2.data(), [2]);\n\n    t.dispose();\n    t1.dispose();\n    t2.dispose();\n\n    const numTensorsAfter = tf.memory().numTensors;\n    const numDataIdAfter = tf.engine().backend.numDataIds();\n    expect(numTensorsAfter).toBe(numTensorsBefore);\n    expect(numDataIdAfter).toBe(numDataIdBefore);\n  });\n});\n"]} |
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