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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, expectArraysEqual } from '../test_util';
describeWithFlags('logSumExp', ALL_ENVS, () => {
    it('0', async () => {
        const a = tf.scalar(0);
        const result = tf.logSumExp(a);
        expectArraysClose(await result.data(), 0);
    });
    it('basic', async () => {
        const a = tf.tensor1d([1, 2, -3]);
        const result = tf.logSumExp(a);
        expectArraysClose(await result.data(), Math.log(Math.exp(1) + Math.exp(2) + Math.exp(-3)));
    });
    it('propagates NaNs', async () => {
        const a = tf.tensor1d([1, 2, NaN]);
        const result = tf.logSumExp(a);
        expectArraysEqual(await result.data(), NaN);
    });
    it('axes=0 in 2D array', async () => {
        const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);
        const r = tf.logSumExp(a, [0]);
        expect(r.shape).toEqual([2]);
        const expected = [
            Math.log(Math.exp(1) + Math.exp(3) + Math.exp(0)),
            Math.log(Math.exp(2) + Math.exp(0) + Math.exp(1))
        ];
        expectArraysClose(await r.data(), expected);
    });
    it('axes=0 in 2D array, keepDims', async () => {
        const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);
        const r = tf.logSumExp(a, [0], true /* keepDims */);
        expect(r.shape).toEqual([1, 2]);
        const expected = [
            Math.log(Math.exp(1) + Math.exp(3) + Math.exp(0)),
            Math.log(Math.exp(2) + Math.exp(0) + Math.exp(1))
        ];
        expectArraysClose(await r.data(), expected);
    });
    it('axes=1 in 2D array', async () => {
        const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);
        const res = tf.logSumExp(a, [1]);
        expect(res.shape).toEqual([3]);
        const expected = [
            Math.log(Math.exp(1) + Math.exp(2)),
            Math.log(Math.exp(3) + Math.exp(0)),
            Math.log(Math.exp(0) + Math.exp(1)),
        ];
        expectArraysClose(await res.data(), expected);
    });
    it('axes = -1 in 2D array', async () => {
        const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);
        const res = tf.logSumExp(a, -1);
        expect(res.shape).toEqual([3]);
        const expected = [
            Math.log(Math.exp(1) + Math.exp(2)),
            Math.log(Math.exp(3) + Math.exp(0)),
            Math.log(Math.exp(0) + Math.exp(1)),
        ];
        expectArraysClose(await res.data(), expected);
    });
    it('2D, axes=1 provided as a single digit', async () => {
        const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [2, 3]);
        const res = tf.logSumExp(a, 1);
        expect(res.shape).toEqual([2]);
        const expected = [
            Math.log(Math.exp(1) + Math.exp(2) + Math.exp(3)),
            Math.log(Math.exp(0) + Math.exp(0) + Math.exp(1))
        ];
        expectArraysClose(await res.data(), expected);
    });
    it('axes=0,1 in 2D array', async () => {
        const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);
        const res = tf.logSumExp(a, [0, 1]);
        expect(res.shape).toEqual([]);
        const expected = [Math.log(Math.exp(1) + Math.exp(2) + Math.exp(3) + Math.exp(0) + Math.exp(0) +
                Math.exp(1))];
        expectArraysClose(await res.data(), expected);
    });
    it('throws when passed a non-tensor', () => {
        expect(() => tf.logSumExp({}))
            .toThrowError(/Argument 'x' passed to 'logSumExp' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const result = tf.logSumExp([1, 2, -3]);
        expectArraysClose(await result.data(), Math.log(Math.exp(1) + Math.exp(2) + Math.exp(-3)));
    });
    it('throws error for string tensor', () => {
        expect(() => tf.logSumExp(['a']))
            .toThrowError(/Argument 'x' passed to 'logSumExp' must be numeric tensor/);
    });
});
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* @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, expectArraysEqual} from '../test_util';\n\ndescribeWithFlags('logSumExp', ALL_ENVS, () => {\n  it('0', async () => {\n    const a = tf.scalar(0);\n    const result = tf.logSumExp(a);\n    expectArraysClose(await result.data(), 0);\n  });\n\n  it('basic', async () => {\n    const a = tf.tensor1d([1, 2, -3]);\n    const result = tf.logSumExp(a);\n\n    expectArraysClose(\n        await result.data(),\n        Math.log(Math.exp(1) + Math.exp(2) + Math.exp(-3)));\n  });\n\n  it('propagates NaNs', async () => {\n    const a = tf.tensor1d([1, 2, NaN]);\n    const result = tf.logSumExp(a);\n    expectArraysEqual(await result.data(), NaN);\n  });\n\n  it('axes=0 in 2D array', async () => {\n    const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);\n    const r = tf.logSumExp(a, [0]);\n\n    expect(r.shape).toEqual([2]);\n    const expected = [\n      Math.log(Math.exp(1) + Math.exp(3) + Math.exp(0)),\n      Math.log(Math.exp(2) + Math.exp(0) + Math.exp(1))\n    ];\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('axes=0 in 2D array, keepDims', async () => {\n    const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);\n    const r = tf.logSumExp(a, [0], true /* keepDims */);\n\n    expect(r.shape).toEqual([1, 2]);\n    const expected = [\n      Math.log(Math.exp(1) + Math.exp(3) + Math.exp(0)),\n      Math.log(Math.exp(2) + Math.exp(0) + Math.exp(1))\n    ];\n    expectArraysClose(await r.data(), expected);\n  });\n\n  it('axes=1 in 2D array', async () => {\n    const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);\n    const res = tf.logSumExp(a, [1]);\n\n    expect(res.shape).toEqual([3]);\n    const expected = [\n      Math.log(Math.exp(1) + Math.exp(2)),\n      Math.log(Math.exp(3) + Math.exp(0)),\n      Math.log(Math.exp(0) + Math.exp(1)),\n    ];\n    expectArraysClose(await res.data(), expected);\n  });\n\n  it('axes = -1 in 2D array', async () => {\n    const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);\n    const res = tf.logSumExp(a, -1);\n\n    expect(res.shape).toEqual([3]);\n    const expected = [\n      Math.log(Math.exp(1) + Math.exp(2)),\n      Math.log(Math.exp(3) + Math.exp(0)),\n      Math.log(Math.exp(0) + Math.exp(1)),\n    ];\n    expectArraysClose(await res.data(), expected);\n  });\n\n  it('2D, axes=1 provided as a single digit', async () => {\n    const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [2, 3]);\n    const res = tf.logSumExp(a, 1);\n\n    expect(res.shape).toEqual([2]);\n    const expected = [\n      Math.log(Math.exp(1) + Math.exp(2) + Math.exp(3)),\n      Math.log(Math.exp(0) + Math.exp(0) + Math.exp(1))\n    ];\n    expectArraysClose(await res.data(), expected);\n  });\n\n  it('axes=0,1 in 2D array', async () => {\n    const a = tf.tensor2d([1, 2, 3, 0, 0, 1], [3, 2]);\n    const res = tf.logSumExp(a, [0, 1]);\n\n    expect(res.shape).toEqual([]);\n    const expected = [Math.log(\n        Math.exp(1) + Math.exp(2) + Math.exp(3) + Math.exp(0) + Math.exp(0) +\n        Math.exp(1))];\n    expectArraysClose(await res.data(), expected);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.logSumExp({} as tf.Tensor))\n        .toThrowError(/Argument 'x' passed to 'logSumExp' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const result = tf.logSumExp([1, 2, -3]);\n    expectArraysClose(\n        await result.data(),\n        Math.log(Math.exp(1) + Math.exp(2) + Math.exp(-3)));\n  });\n\n  it('throws error for string tensor', () => {\n    expect(() => tf.logSumExp(['a']))\n        .toThrowError(\n            /Argument 'x' passed to 'logSumExp' must be numeric tensor/);\n  });\n});\n"]}