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rsqrt.ts
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rsqrt.ts
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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.
* =============================================================================
*/
import {ENGINE} from '../engine';
import {Rsqrt, RsqrtInputs} from '../kernel_names';
import {Tensor} from '../tensor';
import {NamedTensorMap} from '../tensor_types';
import {convertToTensor} from '../tensor_util_env';
import {TensorLike} from '../types';
import {op} from './operation';
/**
* Computes reciprocal of square root of the input `tf.Tensor` element-wise:
* `y = 1 / sqrt(x)`
*
* ```js
* const x = tf.tensor1d([1, 2, 4, -1]);
*
* x.rsqrt().print(); // or tf.rsqrt(x)
* ```
* @param x The input tensor.
*
* @doc {heading: 'Operations', subheading: 'Basic math'}
*/
function rsqrt_<T extends Tensor>(x: T|TensorLike): T {
const $x = convertToTensor(x, 'x', 'rsqrt', 'float32');
const inputs: RsqrtInputs = {x: $x};
return ENGINE.runKernel(Rsqrt, inputs as unknown as NamedTensorMap);
}
export const rsqrt = /* @__PURE__ */ op({rsqrt_});