/**
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* @license
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* Copyright 2019 Google Inc. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import {ENGINE} from '../engine';
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import {Tensor} from '../tensor';
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import {convertToTensor} from '../tensor_util_env';
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import {TensorLike} from '../types';
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import {op} from './operation';
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/**
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* Computes square of `x` element-wise: `x ^ 2`
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*
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* ```js
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* const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);
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*
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* x.square().print(); // or tf.square(x)
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* ```
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* @param x The input Tensor.
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*/
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/** @doc {heading: 'Operations', subheading: 'Basic math'} */
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function square_<T extends Tensor>(x: T|TensorLike): T {
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const $x = convertToTensor(x, 'x', 'square');
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const attrs = {};
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const inputsToSave = [$x];
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const outputsToSave: boolean[] = [];
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return ENGINE.runKernelFunc((backend, save) => {
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save([$x]);
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return backend.square($x);
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}, {x: $x}, null /* grad */, 'Square', attrs, inputsToSave, outputsToSave);
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}
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export const square = op({square_});
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