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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 { expectArrayInMeanStdRange } from './rand_util';
describeWithFlags('truncatedNormal', ALL_ENVS, () => {
    // Expect slightly higher variances for truncated values.
    const EPSILON = 0.60;
    const SEED = 2002;
    function assertTruncatedValues(values, mean, stdv) {
        const bounds = mean + stdv * 2;
        for (let i = 0; i < values.length; i++) {
            expect(Math.abs(values[i])).toBeLessThanOrEqual(bounds);
        }
    }
    it('should return a random 1D float32 array', async () => {
        const shape = [1000];
        // Ensure defaults to float32 w/o type:
        let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 3.5);
        expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);
        result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 4.5);
        expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);
    });
    it('should return a randon 1D int32 array', async () => {
        const shape = [1000];
        const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);
        expect(result.dtype).toBe('int32');
        assertTruncatedValues(await result.data(), 0, 5);
        expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);
    });
    it('should return a 2D float32 array', async () => {
        const shape = [50, 50];
        // Ensure defaults to float32 w/o type:
        let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 3.5);
        expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);
        result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 4.5);
        expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);
    });
    it('should return a 2D int32 array', async () => {
        const shape = [50, 50];
        const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);
        expect(result.dtype).toBe('int32');
        assertTruncatedValues(await result.data(), 0, 5);
        expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);
    });
    it('should return a 3D float32 array', async () => {
        const shape = [10, 10, 10];
        // Ensure defaults to float32 w/o type:
        let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 3.5);
        expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);
        result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 4.5);
        expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);
    });
    it('should return a 3D int32 array', async () => {
        const shape = [10, 10, 10];
        const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);
        expect(result.dtype).toBe('int32');
        assertTruncatedValues(await result.data(), 0, 5);
        expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);
    });
    it('should return a 4D float32 array', async () => {
        const shape = [5, 5, 5, 5];
        // Ensure defaults to float32 w/o type:
        let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 3.5);
        expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);
        result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);
        expect(result.dtype).toBe('float32');
        assertTruncatedValues(await result.data(), 0, 4.5);
        expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);
    });
    it('should return a 4D int32 array', async () => {
        const shape = [5, 5, 5, 5];
        const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);
        expect(result.dtype).toBe('int32');
        assertTruncatedValues(await result.data(), 0, 5);
        expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);
    });
    it('should throw error when shape is not integer', () => {
        expect(() => tf.truncatedNormal([5.55, 3.33, 2.22], 0, 5, 'int32', SEED))
            .toThrow();
    });
});
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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 {TypedArray} from '../types';\nimport {expectArrayInMeanStdRange} from './rand_util';\n\ndescribeWithFlags('truncatedNormal', ALL_ENVS, () => {\n  // Expect slightly higher variances for truncated values.\n  const EPSILON = 0.60;\n  const SEED = 2002;\n\n  function assertTruncatedValues(\n      values: TypedArray, mean: number, stdv: number) {\n    const bounds = mean + stdv * 2;\n    for (let i = 0; i < values.length; i++) {\n      expect(Math.abs(values[i])).toBeLessThanOrEqual(bounds);\n    }\n  }\n\n  it('should return a random 1D float32 array', async () => {\n    const shape: [number] = [1000];\n\n    // Ensure defaults to float32 w/o type:\n    let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 3.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);\n\n    result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 4.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);\n  });\n\n  it('should return a randon 1D int32 array', async () => {\n    const shape: [number] = [1000];\n    const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);\n    expect(result.dtype).toBe('int32');\n    assertTruncatedValues(await result.data(), 0, 5);\n    expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);\n  });\n\n  it('should return a 2D float32 array', async () => {\n    const shape: [number, number] = [50, 50];\n\n    // Ensure defaults to float32 w/o type:\n    let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 3.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);\n\n    result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 4.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);\n  });\n\n  it('should return a 2D int32 array', async () => {\n    const shape: [number, number] = [50, 50];\n    const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);\n    expect(result.dtype).toBe('int32');\n    assertTruncatedValues(await result.data(), 0, 5);\n    expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);\n  });\n\n  it('should return a 3D float32 array', async () => {\n    const shape: [number, number, number] = [10, 10, 10];\n\n    // Ensure defaults to float32 w/o type:\n    let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 3.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);\n\n    result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 4.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);\n  });\n\n  it('should return a 3D int32 array', async () => {\n    const shape: [number, number, number] = [10, 10, 10];\n    const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);\n    expect(result.dtype).toBe('int32');\n    assertTruncatedValues(await result.data(), 0, 5);\n    expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);\n  });\n\n  it('should return a 4D float32 array', async () => {\n    const shape: [number, number, number, number] = [5, 5, 5, 5];\n\n    // Ensure defaults to float32 w/o type:\n    let result = tf.truncatedNormal(shape, 0, 3.5, null, SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 3.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);\n\n    result = tf.truncatedNormal(shape, 0, 4.5, 'float32', SEED);\n    expect(result.dtype).toBe('float32');\n    assertTruncatedValues(await result.data(), 0, 4.5);\n    expectArrayInMeanStdRange(await result.data(), 0, 4.5, EPSILON);\n  });\n\n  it('should return a 4D int32 array', async () => {\n    const shape: [number, number, number, number] = [5, 5, 5, 5];\n    const result = tf.truncatedNormal(shape, 0, 5, 'int32', SEED);\n    expect(result.dtype).toBe('int32');\n    assertTruncatedValues(await result.data(), 0, 5);\n    expectArrayInMeanStdRange(await result.data(), 0, 5, EPSILON);\n  });\n\n  it('should throw error when shape is not integer', () => {\n    expect(() => tf.truncatedNormal([5.55, 3.33, 2.22], 0, 5, 'int32', SEED))\n        .toThrow();\n  });\n});\n"]}