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chenyc

2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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/**
 * @license
 * Copyright 2020 Google Inc. 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('log', ALL_ENVS, () => {
    it('log', async () => {
        const a = tf.tensor1d([1, 2]);
        const r = tf.log(a);
        expectArraysClose(await r.data(), [Math.log(1), Math.log(2)]);
    });
    it('log 6D', async () => {
        const a = tf.range(1, 65).reshape([2, 2, 2, 2, 2, 2]);
        const r = tf.log(a);
        const expectedResult = [];
        for (let i = 1; i < 65; i++) {
            expectedResult[i - 1] = Math.log(i);
        }
        expectArraysClose(await r.data(), expectedResult);
    });
    it('log propagates NaNs', async () => {
        const a = tf.tensor1d([1, NaN]);
        const r = tf.log(a);
        expectArraysClose(await r.data(), [Math.log(1), NaN]);
    });
    it('negtive values', async () => {
        const a = tf.tensor1d([1, -1]);
        const r = tf.log(a);
        expectArraysClose(await r.data(), [Math.log(1), NaN]);
    });
    it('gradients: Scalar', async () => {
        const a = tf.scalar(5);
        const dy = tf.scalar(3);
        const gradients = tf.grad(a => tf.log(a))(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [3 / 5]);
    });
    it('gradient with clones', async () => {
        const a = tf.scalar(5);
        const dy = tf.scalar(3);
        const gradients = tf.grad(a => tf.log(a.clone()).clone())(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [3 / 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.log(a))(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [1 / -1, 2 / 2, 3 / 3, 4 / -5]);
    });
    it('gradients: Tensor2D', async () => {
        const a = tf.tensor2d([-3, 1, 2, 3], [2, 2]);
        const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
        const gradients = tf.grad(a => tf.log(a))(a, dy);
        expect(gradients.shape).toEqual(a.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [1 / -3, 2 / 1, 3 / 2, 4 / 3]);
    });
    it('throws when passed a non-tensor', () => {
        expect(() => tf.log({}))
            .toThrowError(/Argument 'x' passed to 'log' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const r = tf.log([1, 2]);
        expectArraysClose(await r.data(), [Math.log(1), Math.log(2)]);
    });
    it('throws for string tensor', () => {
        expect(() => tf.log('q'))
            .toThrowError(/Argument 'x' passed to 'log' must be float32/);
    });
    it('throws for int32 tensor', () => {
        expect(() => tf.log(tf.tensor1d([1], 'int32')))
            .toThrowError(/Argument 'x' passed to 'log' must be float32/);
    });
});
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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('log', ALL_ENVS, () => {\n  it('log', async () => {\n    const a = tf.tensor1d([1, 2]);\n    const r = tf.log(a);\n    expectArraysClose(await r.data(), [Math.log(1), Math.log(2)]);\n  });\n\n  it('log 6D', async () => {\n    const a = tf.range(1, 65).reshape([2, 2, 2, 2, 2, 2]);\n    const r = tf.log(a);\n\n    const expectedResult = [];\n    for (let i = 1; i < 65; i++) {\n      expectedResult[i - 1] = Math.log(i);\n    }\n\n    expectArraysClose(await r.data(), expectedResult);\n  });\n\n  it('log propagates NaNs', async () => {\n    const a = tf.tensor1d([1, NaN]);\n    const r = tf.log(a);\n    expectArraysClose(await r.data(), [Math.log(1), NaN]);\n  });\n\n  it('negtive values', async () => {\n    const a = tf.tensor1d([1, -1]);\n    const r = tf.log(a);\n    expectArraysClose(await r.data(), [Math.log(1), NaN]);\n  });\n\n  it('gradients: Scalar', async () => {\n    const a = tf.scalar(5);\n    const dy = tf.scalar(3);\n\n    const gradients = tf.grad(a => tf.log(a))(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [3 / 5]);\n  });\n\n  it('gradient with clones', async () => {\n    const a = tf.scalar(5);\n    const dy = tf.scalar(3);\n\n    const gradients = tf.grad(a => tf.log(a.clone()).clone())(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [3 / 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.log(a))(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [1 / -1, 2 / 2, 3 / 3, 4 / -5]);\n  });\n\n  it('gradients: Tensor2D', async () => {\n    const a = tf.tensor2d([-3, 1, 2, 3], [2, 2]);\n    const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n\n    const gradients = tf.grad(a => tf.log(a))(a, dy);\n\n    expect(gradients.shape).toEqual(a.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [1 / -3, 2 / 1, 3 / 2, 4 / 3]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.log({} as tf.Tensor))\n        .toThrowError(/Argument 'x' passed to 'log' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const r = tf.log([1, 2]);\n    expectArraysClose(await r.data(), [Math.log(1), Math.log(2)]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.log('q'))\n        .toThrowError(/Argument 'x' passed to 'log' must be float32/);\n  });\n\n  it('throws for int32 tensor', () => {\n    expect(() => tf.log(tf.tensor1d([1], 'int32')))\n        .toThrowError(/Argument 'x' passed to 'log' must be float32/);\n  });\n});\n"]}