@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
132 lines • 5.98 kB
JavaScript
/**
* @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 { expectValuesInRange } from '../test_util';
describeWithFlags('randomUniform', ALL_ENVS, () => {
it('should return a random 1D float32 array', async () => {
const shape = [10];
// Ensure defaults to float32 w/o type:
let result = tf.randomUniform(shape, 0, 2.5);
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 2.5);
result = tf.randomUniform(shape, 0, 1.5, 'float32');
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 1.5);
});
it('should return a random 1D int32 array', async () => {
const shape = [10];
const result = tf.randomUniform(shape, 0, 2, 'int32');
expect(result.dtype).toBe('int32');
expectValuesInRange(await result.data(), 0, 2);
});
it('should return a random 1D bool array', async () => {
const shape = [10];
const result = tf.randomUniform(shape, 0, 1, 'bool');
expect(result.dtype).toBe('bool');
expectValuesInRange(await result.data(), 0, 1);
});
it('should return a random 2D float32 array', async () => {
const shape = [3, 4];
// Ensure defaults to float32 w/o type:
let result = tf.randomUniform(shape, 0, 2.5);
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 2.5);
result = tf.randomUniform(shape, 0, 1.5, 'float32');
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 1.5);
});
it('should return a random 2D int32 array', async () => {
const shape = [3, 4];
const result = tf.randomUniform(shape, 0, 2, 'int32');
expect(result.dtype).toBe('int32');
expectValuesInRange(await result.data(), 0, 2);
});
it('should return a random 2D bool array', async () => {
const shape = [3, 4];
const result = tf.randomUniform(shape, 0, 1, 'bool');
expect(result.dtype).toBe('bool');
expectValuesInRange(await result.data(), 0, 1);
});
it('should return a random 3D float32 array', async () => {
const shape = [3, 4, 5];
// Ensure defaults to float32 w/o type:
let result = tf.randomUniform(shape, 0, 2.5);
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 2.5);
result = tf.randomUniform(shape, 0, 1.5, 'float32');
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 1.5);
});
it('should return a random 3D int32 array', async () => {
const shape = [3, 4, 5];
const result = tf.randomUniform(shape, 0, 2, 'int32');
expect(result.dtype).toBe('int32');
expectValuesInRange(await result.data(), 0, 2);
});
it('should return a random 3D bool array', async () => {
const shape = [3, 4, 5];
const result = tf.randomUniform(shape, 0, 1, 'bool');
expect(result.dtype).toBe('bool');
expectValuesInRange(await result.data(), 0, 1);
});
it('should return a random 4D float32 array', async () => {
const shape = [3, 4, 5, 6];
// Ensure defaults to float32 w/o type:
let result = tf.randomUniform(shape, 0, 2.5);
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 2.5);
result = tf.randomUniform(shape, 0, 1.5, 'float32');
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 1.5);
});
it('should return a random 4D int32 array', async () => {
const shape = [3, 4, 5, 6];
const result = tf.randomUniform(shape, 0, 2, 'int32');
expect(result.dtype).toBe('int32');
expectValuesInRange(await result.data(), 0, 2);
});
it('should return a random 4D bool array', async () => {
const shape = [3, 4, 5, 6];
const result = tf.randomUniform(shape, 0, 1, 'bool');
expect(result.dtype).toBe('bool');
expectValuesInRange(await result.data(), 0, 1);
});
it('should return a random 5D float32 array', async () => {
const shape = [2, 3, 4, 5, 6];
// Ensure defaults to float32 w/o type:
let result = tf.randomUniform(shape, 0, 2.5);
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 2.5);
result = tf.randomUniform(shape, 0, 1.5, 'float32');
expect(result.dtype).toBe('float32');
expectValuesInRange(await result.data(), 0, 1.5);
});
it('should return a random 5D int32 array', async () => {
const shape = [2, 3, 4, 5, 6];
const result = tf.randomUniform(shape, 0, 2, 'int32');
expect(result.dtype).toBe('int32');
expectValuesInRange(await result.data(), 0, 2);
});
it('should return a random 5D bool array', async () => {
const shape = [2, 3, 4, 5, 6];
const result = tf.randomUniform(shape, 0, 1, 'bool');
expect(result.dtype).toBe('bool');
expectValuesInRange(await result.data(), 0, 1);
});
});
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