@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
45 lines • 1.65 kB
JavaScript
/**
* @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.
* =============================================================================
*/
import { ENGINE } from '../engine';
import { Range } from '../kernel_names';
/**
* Creates a new `tf.Tensor1D` filled with the numbers in the range provided.
*
* The tensor is a is half-open interval meaning it includes start, but
* excludes stop. Decrementing ranges and negative step values are also
* supported.sv
*
*
* ```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 function range(start, stop, step = 1, dtype = 'float32') {
if (step === 0) {
throw new Error('Cannot have a step of zero');
}
const attrs = { start, stop, step, dtype };
return ENGINE.runKernel(Range, {} /* inputs */, attrs);
}
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