@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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TypeScript
/**
* @license
* Copyright 2018 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.
* =============================================================================
*/
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/range" />
import { Tensor1D } from '../tensor';
/**
* Creates a new `tf.Tensor1D` filled with the numbers in the range provided.
*
* The tensor is a half-open interval meaning it includes start, but
* excludes stop. Decrementing ranges and negative step values are also
* supported.
*
*
* ```js
* tf.range(0, 9, 2).print();
* ```
*
* @param start An integer start value
* @param stop An integer stop value
* @param step An integer increment (will default to 1 or -1)
* @param dtype The data type of the output tensor. Defaults to 'float32'.
*
* @doc {heading: 'Tensors', subheading: 'Creation'}
*/
export declare function range(start: number, stop: number, step?: number, dtype?: 'float32' | 'int32'): Tensor1D;