gx

chenyc

2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import * as tf from '../index';
import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
import { expectArraysClose } from '../test_util';
describeWithFlags('reciprocal', ALL_ENVS, () => {
    it('1D array', async () => {
        const a = tf.tensor1d([2, 3, 0, NaN]);
        const r = tf.reciprocal(a);
        expectArraysClose(await r.data(), [1 / 2, 1 / 3, Infinity, NaN]);
    });
    it('2D array', async () => {
        const a = tf.tensor2d([1, Infinity, 0, NaN], [2, 2]);
        const r = tf.reciprocal(a);
        expect(r.shape).toEqual([2, 2]);
        expectArraysClose(await r.data(), [1 / 1, 0, Infinity, NaN]);
    });
    it('reciprocal propagates NaNs', async () => {
        const a = tf.tensor1d([1.5, NaN]);
        const r = tf.reciprocal(a);
        expectArraysClose(await r.data(), [1 / 1.5, NaN]);
    });
    it('gradients: Scalar', async () => {
        const a = tf.scalar(5);
        const dy = tf.scalar(8);
        const gradients = tf.grad(a => tf.reciprocal(a))(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [-1 * 8 * (1 / (5 * 5))]);
    });
    it('gradient with clones', async () => {
        const a = tf.scalar(5);
        const dy = tf.scalar(8);
        const gradients = tf.grad(a => tf.reciprocal(a.clone()).clone())(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [-1 * 8 * (1 / (5 * 5))]);
    });
    it('gradients: Tensor1D', async () => {
        const a = tf.tensor1d([-1, 2, 3, -5]);
        const dy = tf.tensor1d([1, 2, 3, 4]);
        const gradients = tf.grad(a => tf.reciprocal(a))(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [
            -1 * 1 * (1 / (-1 * -1)), -1 * 2 * (1 / (2 * 2)), -1 * 3 * (1 / (3 * 3)),
            -1 * 4 * (1 / (-5 * -5))
        ]);
    });
    it('gradients: Tensor2D', async () => {
        const a = tf.tensor2d([-1, 2, 3, -5], [2, 2]);
        const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
        const gradients = tf.grad(a => tf.reciprocal(a))(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [
            -1 * 1 * (1 / (-1 * -1)), -1 * 2 * (1 / (2 * 2)), -1 * 3 * (1 / (3 * 3)),
            -1 * 4 * (1 / (-5 * -5))
        ]);
    });
    it('throws when passed a non-tensor', () => {
        expect(() => tf.reciprocal({}))
            .toThrowError(/Argument 'x' passed to 'reciprocal' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const r = tf.reciprocal([2, 3, 0, NaN]);
        expectArraysClose(await r.data(), [1 / 2, 1 / 3, Infinity, NaN]);
    });
    it('throws for string tensor', () => {
        expect(() => tf.reciprocal('q'))
            .toThrowError(/Argument 'x' passed to 'reciprocal' must be numeric/);
    });
});
//# sourceMappingURL=data:application/json;base64,{"version":3,"file":"reciprocal_test.js","sourceRoot":"","sources":["../../../../../../tfjs-core/src/ops/reciprocal_test.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,KAAK,EAAE,MAAM,UAAU,CAAC;AAC/B,OAAO,EAAC,QAAQ,EAAE,iBAAiB,EAAC,MAAM,iBAAiB,CAAC;AAC5D,OAAO,EAAC,iBAAiB,EAAC,MAAM,cAAc,CAAC;AAE/C,iBAAiB,CAAC,YAAY,EAAE,QAAQ,EAAE,GAAG,EAAE;IAC7C,EAAE,CAAC,UAAU,EAAE,KAAK,IAAI,EAAE;QACxB,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC;QACtC,MAAM,CAAC,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAC3B,iBAAiB,CAAC,MAAM,CAAC,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,QAAQ,EAAE,GAAG,CAAC,CAAC,CAAC;IACnE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,UAAU,EAAE,KAAK,IAAI,EAAE;QACxB,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,QAAQ,EAAE,CAAC,EAAE,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACrD,MAAM,CAAC,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAC3B,MAAM,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAChC,iBAAiB,CAAC,MAAM,CAAC,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,QAAQ,EAAE,GAAG,CAAC,CAAC,CAAC;IAC/D,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,4BAA4B,EAAE,KAAK,IAAI,EAAE;QAC1C,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC;QAClC,MAAM,CAAC,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC;QAC3B,iBAAiB,CAAC,MAAM,CAAC,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,GAAG,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC;IACpD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,mBAAmB,EAAE,KAAK,IAAI,EAAE;QACjC,MAAM,CAAC,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC;QACvB,MAAM,EAAE,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC;QAExB,MAAM,SAAS,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QAExD,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC;QACzC,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,SAAS,CAAC,CAAC;QAC3C,iBAAiB,CAAC,MAAM,SAAS,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;IACtE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,sBAAsB,EAAE,KAAK,IAAI,EAAE;QACpC,MAAM,CAAC,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC;QACvB,MAAM,EAAE,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC;QAExB,MAAM,SAAS,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,KAAK,EAAE,CAAC,CAAC,KAAK,EAAE,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QAExE,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC;QACzC,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,SAAS,CAAC,CAAC;QAC3C,iBAAiB,CAAC,MAAM,SAAS,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC;IACtE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,qBAAqB,EAAE,KAAK,IAAI,EAAE;QACnC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC;QACtC,MAAM,EAAE,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAErC,MAAM,SAAS,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QAExD,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC;QACzC,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,SAAS,CAAC,CAAC;QAC3C,iBAAiB,CAAC,MAAM,SAAS,CAAC,IAAI,EAAE,EAAE;YACxC,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC;YACxE,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC;SACzB,CAAC,CAAC;IACL,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,qBAAqB,EAAE,KAAK,IAAI,EAAE;QACnC,MAAM,CAAC,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAC9C,MAAM,EAAE,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAE7C,MAAM,SAAS,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC;QAExD,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC;QACzC,MAAM,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,OAAO,CAAC,SAAS,CAAC,CAAC;QAC3C,iBAAiB,CAAC,MAAM,SAAS,CAAC,IAAI,EAAE,EAAE;YACxC,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC;YACxE,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC;SACzB,CAAC,CAAC;IACL,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,iCAAiC,EAAE,GAAG,EAAE;QACzC,MAAM,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,EAAe,CAAC,CAAC;aACvC,YAAY,CAAC,sDAAsD,CAAC,CAAC;IAC5E,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,8BAA8B,EAAE,KAAK,IAAI,EAAE;QAC5C,MAAM,CAAC,GAAG,EAAE,CAAC,UAAU,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC;QACxC,iBAAiB,CAAC,MAAM,CAAC,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,QAAQ,EAAE,GAAG,CAAC,CAAC,CAAC;IACnE,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,0BAA0B,EAAE,GAAG,EAAE;QAClC,MAAM,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,UAAU,CAAC,GAAG,CAAC,CAAC;aAC3B,YAAY,CAAC,qDAAqD,CAAC,CAAC;IAC3E,CAAC,CAAC,CAAC;AACL,CAAC,CAAC,CAAC","sourcesContent":["/**\n * @license\n * Copyright 2020 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('reciprocal', ALL_ENVS, () => {\n  it('1D array', async () => {\n    const a = tf.tensor1d([2, 3, 0, NaN]);\n    const r = tf.reciprocal(a);\n    expectArraysClose(await r.data(), [1 / 2, 1 / 3, Infinity, NaN]);\n  });\n\n  it('2D array', async () => {\n    const a = tf.tensor2d([1, Infinity, 0, NaN], [2, 2]);\n    const r = tf.reciprocal(a);\n    expect(r.shape).toEqual([2, 2]);\n    expectArraysClose(await r.data(), [1 / 1, 0, Infinity, NaN]);\n  });\n\n  it('reciprocal propagates NaNs', async () => {\n    const a = tf.tensor1d([1.5, NaN]);\n    const r = tf.reciprocal(a);\n    expectArraysClose(await r.data(), [1 / 1.5, NaN]);\n  });\n\n  it('gradients: Scalar', async () => {\n    const a = tf.scalar(5);\n    const dy = tf.scalar(8);\n\n    const gradients = tf.grad(a => tf.reciprocal(a))(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [-1 * 8 * (1 / (5 * 5))]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(5);\n    const dy = tf.scalar(8);\n\n    const gradients = tf.grad(a => tf.reciprocal(a.clone()).clone())(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [-1 * 8 * (1 / (5 * 5))]);\n  });\n\n  it('gradients: Tensor1D', async () => {\n    const a = tf.tensor1d([-1, 2, 3, -5]);\n    const dy = tf.tensor1d([1, 2, 3, 4]);\n\n    const gradients = tf.grad(a => tf.reciprocal(a))(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [\n      -1 * 1 * (1 / (-1 * -1)), -1 * 2 * (1 / (2 * 2)), -1 * 3 * (1 / (3 * 3)),\n      -1 * 4 * (1 / (-5 * -5))\n    ]);\n  });\n\n  it('gradients: Tensor2D', async () => {\n    const a = tf.tensor2d([-1, 2, 3, -5], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const gradients = tf.grad(a => tf.reciprocal(a))(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [\n      -1 * 1 * (1 / (-1 * -1)), -1 * 2 * (1 / (2 * 2)), -1 * 3 * (1 / (3 * 3)),\n      -1 * 4 * (1 / (-5 * -5))\n    ]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.reciprocal({} as tf.Tensor))\n        .toThrowError(/Argument 'x' passed to 'reciprocal' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const r = tf.reciprocal([2, 3, 0, NaN]);\n    expectArraysClose(await r.data(), [1 / 2, 1 / 3, Infinity, NaN]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.reciprocal('q'))\n        .toThrowError(/Argument 'x' passed to 'reciprocal' must be numeric/);\n  });\n});\n"]}