@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
50 lines • 1.83 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 { ENGINE } from '../engine';
import { sizeFromShape } from '../util';
import { op } from './operation';
/**
* Creates a `tf.Tensor` with values sampled from a random number generator
* function defined by the user.
*
* @param shape An array of integers defining the output tensor shape.
* @param randFunction A random number generator function which is called
* for each element in the output tensor.
* @param dtype The data type of the output tensor. Defaults to 'float32'.
*/
function rand_(shape, randFunction, dtype) {
const size = sizeFromShape(shape);
let values = null;
if (dtype == null || dtype === 'float32') {
values = new Float32Array(size);
}
else if (dtype === 'int32') {
values = new Int32Array(size);
}
else if (dtype === 'bool') {
values = new Uint8Array(size);
}
else {
throw new Error(`Unknown data type ${dtype}`);
}
for (let i = 0; i < size; i++) {
values[i] = randFunction();
}
return ENGINE.makeTensor(values, shape, dtype);
}
export const rand = op({ rand_ });
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