text: /**
   * @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 } from '../kernel_names';
  import { convertToTensor } from '../tensor_util_env';
  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_(x) {
      const $x = convertToTensor(x, 'x', 'rsqrt');
      const inputs = { x: $x };
      return ENGINE.runKernelFunc((backend, save) => {
          const res = backend.rsqrt($x);
          save([$x]);
          return res;
      }, inputs, null /* grad */, Rsqrt);
  }
  export const rsqrt = op({ rsqrt_ });
  //# sourceMappingURL=rsqrt.js.map