/**

* @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 {LinSpace, LinSpaceAttrs} from '../kernel_names';

import {NamedAttrMap} from '../kernel_registry';

import {Tensor1D} from '../tensor';

/**

* Return an evenly spaced sequence of numbers over the given interval.

*

* ```js

* tf.linspace(0, 9, 10).print();

* ```

* @param start The start value of the sequence.

* @param stop The end value of the sequence.

* @param num The number of values to generate.

*

* @doc {heading: 'Tensors', subheading: 'Creation'}

*/

export function linspace(start: number, stop: number, num: number): Tensor1D {

if (num <= 0) {

throw new Error('The number of values should be positive.');

}

const attrs: LinSpaceAttrs = {start, stop, num};

return ENGINE.runKernel(LinSpace, {}, attrs as unknown as NamedAttrMap);

}