| 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 { Tensor } from '../tensor';
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| 18 | import { DataType, Rank, ShapeMap } from '../types';
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| 19 | /**
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| 20 | * Creates a `tf.Tensor` with values sampled from a uniform distribution.
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| 21 | *
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| 22 | * The generated values follow a uniform distribution in the range [minval,
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| 23 | * maxval). The lower bound minval is included in the range, while the upper
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| 24 | * bound maxval is excluded.
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| 25 | *
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| 26 | * ```js
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| 27 | * tf.randomUniform([2, 2]).print();
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| 28 | * ```
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| 29 | *
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| 30 | * @param shape An array of integers defining the output tensor shape.
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| 31 | * @param minval The lower bound on the range of random values to generate.
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| 32 | * Defaults to 0.
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| 33 | * @param maxval The upper bound on the range of random values to generate.
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| 34 | * Defaults to 1.
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| 35 | * @param dtype The data type of the output tensor. Defaults to 'float32'.
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| 36 | *
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| 37 | * @doc {heading: 'Tensors', subheading: 'Random'}
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| 38 | */
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| 39 | declare function randomUniform_<R extends Rank>(shape: ShapeMap[R], minval?: number, maxval?: number, dtype?: DataType, seed?: number | string): Tensor<R>;
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| 40 | export declare const randomUniform: typeof randomUniform_;
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| 41 | export {};
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