gx

chenyc

2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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/**
 * @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('elu', ALL_ENVS, () => {
    it('calculate elu', async () => {
        const a = tf.tensor1d([1, -1, 0]);
        const result = tf.elu(a);
        expect(result.shape).toEqual(a.shape);
        expectArraysClose(await result.data(), [1, -0.6321, 0]);
    });
    it('elu propagates NaN', async () => {
        const a = tf.tensor1d([1, NaN]);
        const result = tf.elu(a);
        expect(result.shape).toEqual(a.shape);
        expectArraysClose(await result.data(), [1, NaN]);
    });
    it('derivative', async () => {
        const x = tf.tensor1d([1, 3, -2, 0.4]);
        const dy = tf.tensor1d([5, 50, 500, 5000]);
        const gradients = tf.grad(a => tf.elu(a))(x, dy);
        expect(gradients.shape).toEqual(x.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [5, 50, 500 * Math.exp(-2), 5000]);
    });
    it('gradient with clones', async () => {
        const x = tf.tensor1d([1, 3, -2, 0.4]);
        const dy = tf.tensor1d([5, 50, 500, 5000]);
        const gradients = tf.grad(a => tf.elu(a.clone()).clone())(x, dy);
        expect(gradients.shape).toEqual(x.shape);
        expect(gradients.dtype).toEqual('float32');
        expectArraysClose(await gradients.data(), [5, 50, 500 * Math.exp(-2), 5000]);
    });
    it('throws when passed a non-tensor', () => {
        expect(() => tf.elu({}))
            .toThrowError(/Argument 'x' passed to 'elu' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const result = tf.elu([1, -1, 0]);
        expect(result.shape).toEqual(result.shape);
        expectArraysClose(await result.data(), [1, -0.6321, 0]);
    });
    it('throws for string tensor', () => {
        expect(() => tf.elu('q'))
            .toThrowError(/Argument 'x' passed to 'elu' must be float32/);
    });
    it('throws for int32 tensor', () => {
        expect(() => tf.elu(tf.tensor1d([1, 2, 3], 'int32')))
            .toThrowError(/Argument 'x' passed to 'elu' must be float32/);
    });
});
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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('elu', ALL_ENVS, () => {\n  it('calculate elu', async () => {\n    const a = tf.tensor1d([1, -1, 0]);\n    const result = tf.elu(a);\n\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [1, -0.6321, 0]);\n  });\n\n  it('elu propagates NaN', async () => {\n    const a = tf.tensor1d([1, NaN]);\n    const result = tf.elu(a);\n    expect(result.shape).toEqual(a.shape);\n    expectArraysClose(await result.data(), [1, NaN]);\n  });\n\n  it('derivative', async () => {\n    const x = tf.tensor1d([1, 3, -2, 0.4]);\n    const dy = tf.tensor1d([5, 50, 500, 5000]);\n    const gradients = tf.grad(a => tf.elu(a))(x, dy);\n\n    expect(gradients.shape).toEqual(x.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(\n        await gradients.data(), [5, 50, 500 * Math.exp(-2), 5000]);\n  });\n\n  it('gradient with clones', async () => {\n    const x = tf.tensor1d([1, 3, -2, 0.4]);\n    const dy = tf.tensor1d([5, 50, 500, 5000]);\n    const gradients = tf.grad(a => tf.elu(a.clone()).clone())(x, dy);\n\n    expect(gradients.shape).toEqual(x.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(\n        await gradients.data(), [5, 50, 500 * Math.exp(-2), 5000]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.elu({} as tf.Tensor))\n        .toThrowError(/Argument 'x' passed to 'elu' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const result = tf.elu([1, -1, 0]);\n    expect(result.shape).toEqual(result.shape);\n    expectArraysClose(await result.data(), [1, -0.6321, 0]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.elu('q'))\n        .toThrowError(/Argument 'x' passed to 'elu' must be float32/);\n  });\n\n  it('throws for int32 tensor', () => {\n    expect(() => tf.elu(tf.tensor1d([1, 2, 3], 'int32')))\n        .toThrowError(/Argument 'x' passed to 'elu' must be float32/);\n  });\n});\n"]}