| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2020 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | import { buffer } from './buffer';
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| 18 | import { op } from './operation';
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| 19 | import { MPRandGauss } from './rand_util';
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| 20 | /**
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| 21 | * Creates a `tf.Tensor` with values sampled from a normal distribution.
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| 22 | *
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| 23 | * ```js
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| 24 | * tf.randomNormal([2, 2]).print();
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| 25 | * ```
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| 26 | *
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| 27 | * @param shape An array of integers defining the output tensor shape.
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| 28 | * @param mean The mean of the normal distribution.
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| 29 | * @param stdDev The standard deviation of the normal distribution.
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| 30 | * @param dtype The data type of the output.
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| 31 | * @param seed The seed for the random number generator.
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| 32 | *
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| 33 | * @doc {heading: 'Tensors', subheading: 'Random'}
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| 34 | */
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| 35 | function randomNormal_(shape, mean = 0, stdDev = 1, dtype, seed) {
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| 36 | if (dtype != null && dtype === 'bool') {
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| 37 | throw new Error(`Unsupported data type ${dtype}`);
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| 38 | }
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| 39 | const randGauss = new MPRandGauss(mean, stdDev, dtype, false /* truncated */, seed);
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| 40 | const res = buffer(shape, dtype);
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| 41 | for (let i = 0; i < res.values.length; i++) {
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| 42 | res.values[i] = randGauss.nextValue();
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| 43 | }
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| 44 | return res.toTensor();
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| 45 | }
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| 46 | export const randomNormal = op({ randomNormal_ });
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| 47 | //# sourceMappingURL=random_normal.js.map |
| \ | No newline at end of file |