text: /**
   * @license
   * Copyright 2020 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 { LeakyRelu, util } from '@tensorflow/tfjs-core';
  import { assertNotComplex } from '../cpu_util';
  export function leakyRelu(args) {
      const { inputs, backend, attrs } = args;
      const { x } = inputs;
      const { alpha } = attrs;
      assertNotComplex([x], 'leakyRelu');
      const xSize = util.sizeFromShape(x.shape);
      const xVals = backend.data.get(x.dataId).values;
      const outVals = util.getTypedArrayFromDType('float32', xSize);
      for (let i = 0; i < xVals.length; i++) {
          outVals[i] = xVals[i] < 0 ? alpha * xVals[i] : xVals[i];
      }
      return backend.makeTensorInfo(x.shape, 'float32', outVals);
  }
  export const leakyReluConfig = {
      kernelName: LeakyRelu,
      backendName: 'cpu',
      kernelFunc: leakyRelu
  };
  //# sourceMappingURL=LeakyRelu.js.map