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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @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;