| 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, expectArraysEqual } from '../test_util';
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| 20 | import * as reduce_util from './reduce_util';
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| 21 | describeWithFlags('argmin', ALL_ENVS, () => {
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| 22 | it('Tensor1D', async () => {
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| 23 | const a = tf.tensor1d([1, 0, 3, 2]);
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| 24 | const result = tf.argMin(a);
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| 25 | expectArraysEqual(await result.data(), 1);
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| 26 | });
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| 27 | it('one value', async () => {
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| 28 | const a = tf.tensor1d([10]);
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| 29 | const result = tf.argMin(a);
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| 30 | expectArraysEqual(await result.data(), 0);
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| 31 | });
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| 32 | it('N > than parallelization threshold', async () => {
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| 33 | const n = reduce_util.PARALLELIZE_THRESHOLD * 2;
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| 34 | const values = new Float32Array(n);
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| 35 | for (let i = 0; i < n; i++) {
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| 36 | values[i] = n - i;
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| 37 | }
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| 38 | const a = tf.tensor1d(values);
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| 39 | const result = tf.argMin(a);
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| 40 | expect(result.dtype).toBe('int32');
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| 41 | expectArraysEqual(await result.data(), n - 1);
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| 42 | });
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| 43 | it('4D, N > than parallelization threshold', async () => {
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| 44 | const n = reduce_util.PARALLELIZE_THRESHOLD * 2;
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| 45 | const values = new Float32Array(n);
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| 46 | for (let i = 0; i < n; i++) {
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| 47 | values[i] = n - i;
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| 48 | }
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| 49 | const a = tf.tensor4d(values, [1, 1, 1, n]);
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| 50 | const result = tf.argMin(a, -1);
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| 51 | expect(result.dtype).toBe('int32');
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| 52 | expectArraysEqual(await result.data(), n - 1);
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| 53 | });
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| 54 | it('min index corresponds to start of a non-initial window', async () => {
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| 55 | const n = reduce_util.PARALLELIZE_THRESHOLD * 2;
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| 56 | const windowSize = reduce_util.computeOptimalWindowSize(n);
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| 57 | const values = new Float32Array(n);
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| 58 | const index = windowSize * 2;
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| 59 | values[index] = -1;
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| 60 | const a = tf.tensor1d(values);
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| 61 | const result = tf.argMin(a);
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| 62 | expect(result.dtype).toBe('int32');
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| 63 | expectArraysEqual(await result.data(), index);
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| 64 | });
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| 65 | it('ignores NaNs', async () => {
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| 66 | const a = tf.tensor1d([5, 0, NaN, -1, 3]);
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| 67 | const res = tf.argMin(a);
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| 68 | expectArraysEqual(await res.data(), 3);
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| 69 | });
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| 70 | it('3D, ignores NaNs', async () => {
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| 71 | const a = tf.tensor3d([5, 0, NaN, -1, 3], [1, 1, 5]);
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| 72 | const res = tf.argMin(a, -1);
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| 73 | expectArraysEqual(await res.data(), 3);
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| 74 | });
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| 75 | it('2D, no axis specified', async () => {
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| 76 | const a = tf.tensor2d([3, -1, 0, 100, -7, 2], [2, 3]);
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| 77 | expectArraysEqual(await tf.argMin(a).data(), [0, 1, 0]);
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| 78 | });
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| 79 | it('2D, axis=0', async () => {
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| 80 | const a = tf.tensor2d([3, -1, 0, 100, -7, 2], [2, 3]);
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| 81 | const r = tf.argMin(a, 0);
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| 82 | expect(r.shape).toEqual([3]);
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| 83 | expect(r.dtype).toBe('int32');
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| 84 | expectArraysEqual(await r.data(), [0, 1, 0]);
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| 85 | });
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| 86 | it('2D, axis=1', async () => {
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| 87 | const a = tf.tensor2d([3, 2, 5, 100, -7, -8], [2, 3]);
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| 88 | const r = tf.argMin(a, 1);
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| 89 | expectArraysEqual(await r.data(), [1, 2]);
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| 90 | });
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| 91 | it('2D, axis = -1', async () => {
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| 92 | const a = tf.tensor2d([3, 2, 5, 100, -7, -8], [2, 3]);
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| 93 | const r = tf.argMin(a, -1);
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| 94 | expectArraysEqual(await r.data(), [1, 2]);
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| 95 | });
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| 96 | it('throws when passed a non-tensor', () => {
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| 97 | expect(() => tf.argMin({}))
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| 98 | .toThrowError(/Argument 'x' passed to 'argMin' must be a Tensor/);
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| 99 | });
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| 100 | it('accepts a tensor-like object', async () => {
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| 101 | const result = tf.argMin([1, 0, 3, 2]);
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| 102 | expectArraysEqual(await result.data(), 1);
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| 103 | });
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| 104 | it('accepts tensor with bool values', async () => {
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| 105 | const t = tf.tensor1d([0, 1], 'bool');
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| 106 | const result = tf.argMin(t);
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| 107 | expect(result.dtype).toBe('int32');
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| 108 | expectArraysEqual(await result.data(), 0);
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| 109 | });
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| 110 | it('has gradient', async () => {
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| 111 | const a = tf.tensor2d([3, 2, 5, 100, -7, 2], [2, 3]);
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| 112 | const dy = tf.ones([3], 'float32');
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| 113 | const da = tf.grad((x) => tf.argMin(x))(a, dy);
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| 114 | expect(da.dtype).toBe('float32');
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| 115 | expect(da.shape).toEqual([2, 3]);
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| 116 | expectArraysClose(await da.data(), [0, 0, 0, 0, 0, 0]);
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| 117 | });
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| 118 | it('gradient with clones', async () => {
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| 119 | const a = tf.tensor2d([3, 2, 5, 100, -7, 2], [2, 3]);
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| 120 | const dy = tf.ones([3], 'float32');
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| 121 | const da = tf.grad((x) => tf.argMin(x.clone()).clone())(a, dy);
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| 122 | expect(da.dtype).toBe('float32');
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| 123 | expect(da.shape).toEqual([2, 3]);
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| 124 | expectArraysClose(await da.data(), [0, 0, 0, 0, 0, 0]);
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| 125 | });
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| 126 | it('throws error for string tensor', () => {
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| 127 | expect(() => tf.argMin(['a']))
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| 128 | .toThrowError(/Argument 'x' passed to 'argMin' must be numeric tensor/);
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| 129 | });
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| 130 | });
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| 131 | //# 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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, expectArraysEqual} from '../test_util';\n\nimport * as reduce_util from './reduce_util';\n\ndescribeWithFlags('argmin', ALL_ENVS, () => {\n  it('Tensor1D', async () => {\n    const a = tf.tensor1d([1, 0, 3, 2]);\n    const result = tf.argMin(a);\n    expectArraysEqual(await result.data(), 1);\n  });\n\n  it('one value', async () => {\n    const a = tf.tensor1d([10]);\n    const result = tf.argMin(a);\n    expectArraysEqual(await result.data(), 0);\n  });\n\n  it('N > than parallelization threshold', async () => {\n    const n = reduce_util.PARALLELIZE_THRESHOLD * 2;\n    const values = new Float32Array(n);\n    for (let i = 0; i < n; i++) {\n      values[i] = n - i;\n    }\n    const a = tf.tensor1d(values);\n    const result = tf.argMin(a);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), n - 1);\n  });\n\n  it('4D, N > than parallelization threshold', async () => {\n    const n = reduce_util.PARALLELIZE_THRESHOLD * 2;\n    const values = new Float32Array(n);\n    for (let i = 0; i < n; i++) {\n      values[i] = n - i;\n    }\n    const a = tf.tensor4d(values, [1, 1, 1, n]);\n    const result = tf.argMin(a, -1);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), n - 1);\n  });\n\n  it('min index corresponds to start of a non-initial window', async () => {\n    const n = reduce_util.PARALLELIZE_THRESHOLD * 2;\n    const windowSize = reduce_util.computeOptimalWindowSize(n);\n    const values = new Float32Array(n);\n    const index = windowSize * 2;\n    values[index] = -1;\n    const a = tf.tensor1d(values);\n    const result = tf.argMin(a);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), index);\n  });\n\n  it('ignores NaNs', async () => {\n    const a = tf.tensor1d([5, 0, NaN, -1, 3]);\n    const res = tf.argMin(a);\n    expectArraysEqual(await res.data(), 3);\n  });\n\n  it('3D, ignores NaNs', async () => {\n    const a = tf.tensor3d([5, 0, NaN, -1, 3], [1, 1, 5]);\n    const res = tf.argMin(a, -1);\n    expectArraysEqual(await res.data(), 3);\n  });\n\n  it('2D, no axis specified', async () => {\n    const a = tf.tensor2d([3, -1, 0, 100, -7, 2], [2, 3]);\n    expectArraysEqual(await tf.argMin(a).data(), [0, 1, 0]);\n  });\n\n  it('2D, axis=0', async () => {\n    const a = tf.tensor2d([3, -1, 0, 100, -7, 2], [2, 3]);\n    const r = tf.argMin(a, 0);\n\n    expect(r.shape).toEqual([3]);\n    expect(r.dtype).toBe('int32');\n    expectArraysEqual(await r.data(), [0, 1, 0]);\n  });\n\n  it('2D, axis=1', async () => {\n    const a = tf.tensor2d([3, 2, 5, 100, -7, -8], [2, 3]);\n    const r = tf.argMin(a, 1);\n    expectArraysEqual(await r.data(), [1, 2]);\n  });\n\n  it('2D, axis = -1', async () => {\n    const a = tf.tensor2d([3, 2, 5, 100, -7, -8], [2, 3]);\n    const r = tf.argMin(a, -1);\n    expectArraysEqual(await r.data(), [1, 2]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.argMin({} as tf.Tensor))\n        .toThrowError(/Argument 'x' passed to 'argMin' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const result = tf.argMin([1, 0, 3, 2]);\n    expectArraysEqual(await result.data(), 1);\n  });\n\n  it('accepts tensor with bool values', async () => {\n    const t = tf.tensor1d([0, 1], 'bool');\n    const result = tf.argMin(t);\n    expect(result.dtype).toBe('int32');\n    expectArraysEqual(await result.data(), 0);\n  });\n\n  it('has gradient', async () => {\n    const a = tf.tensor2d([3, 2, 5, 100, -7, 2], [2, 3]);\n    const dy = tf.ones([3], 'float32');\n    const da = tf.grad((x: tf.Tensor2D) => tf.argMin(x))(a, dy);\n\n    expect(da.dtype).toBe('float32');\n    expect(da.shape).toEqual([2, 3]);\n    expectArraysClose(await da.data(), [0, 0, 0, 0, 0, 0]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.tensor2d([3, 2, 5, 100, -7, 2], [2, 3]);\n    const dy = tf.ones([3], 'float32');\n    const da = tf.grad((x: tf.Tensor2D) => tf.argMin(x.clone()).clone())(a, dy);\n\n    expect(da.dtype).toBe('float32');\n    expect(da.shape).toEqual([2, 3]);\n    expectArraysClose(await da.data(), [0, 0, 0, 0, 0, 0]);\n  });\n\n  it('throws error for string tensor', () => {\n    expect(() => tf.argMin(['a']))\n        .toThrowError(/Argument 'x' passed to 'argMin' must be numeric tensor/);\n  });\n});\n"]} |
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