text: // Copyright 2018 The AITS DNNC Authors.All Rights Reserved.
  //
  // Licensed to the Apache Software Foundation(ASF) under one
  // or more contributor license agreements.See the NOTICE file
  // distributed with this work for additional information
  // regarding copyright ownership.The ASF licenses this file
  // to you 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 permissionsand limitations
  // under the License.
  //
  // This file is part of AITS DNN compiler maintained at
  // https://github.com/ai-techsystems/dnnCompiler
  //
  
  #pragma once
  #include "operators/baseOperator.h"
  #include <string>
  
  using namespace Eigen;
  
  namespace dnnc {
  /*! Applies LeakyRelu function \f$ f(x)=\left\{\begin{matrix}
  \alpha x & x<0 \\
  x  & x\geq 0
  \end{matrix}\right.\f$ elementwise */
  template <typename T> class LeakyRelu : public baseOperator<T, T, T> {
  protected:
    float alpha = 0.01;
  
  public:
    LeakyRelu(std::string name = "opLeakyRelu", float alpha = 0.01)
        : baseOperator<T, T, T>(opLeakyRelu, name) {
      this->alpha = alpha;
    }
    bool getAttribute(OPATTR attrName, float &obj) override {
      if (attrName == attr_alpha) {
        obj = alpha;
        return true;
      }
      return false;
    }
    bool setAttribute(OPATTR attrName, float obj) override {
      if (attrName == attr_alpha) {
        alpha = obj;
        return true;
      }
      return false;
    }
    static T Leaky_Relu(T x, float alpha) {
      if (x < 0)
        return T(alpha * x);
      else
        return x;
    }
  
    tensor<T> compute(tensor<T> &a /*!<[float,double]: ND tensor*/) {
      if (!(this->template type_check<T, float, double>())) {
        SPDLOG_ERROR("Constrain input and output types to float tensors.");
        return NULL_TENSOR<T>;
      }
      tensor<T> result(a.shape(), a.name());
      DNNC_EIGEN_ARRAY_MAP(eigenVector, T, a);
      DNNC_EIGEN_VECTOR_CTOR(T) eResult;
      auto c0 = std::bind(Leaky_Relu, std::placeholders::_1, alpha);
      eResult.array() = eigenVector.array().unaryExpr(c0);
  
      result.load(eResult.data());
      return result;
    }
  };
  } // namespace dnnc
  