text: // Copyright (c) 2019 PaddlePaddle Authors. 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.
  
  #pragma once
  #include "lite/core/kernel.h"
  
  namespace paddle {
  namespace lite {
  namespace kernels {
  namespace xpu {
  
  class ReluCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~ReluCompute() = default;
  };
  
  class TanhCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~TanhCompute() = default;
  };
  
  class SigmoidCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~SigmoidCompute() = default;
  };
  
  class AbsCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~AbsCompute() = default;
  };
  
  class ExpCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~ExpCompute() = default;
  };
  
  class SquareCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~SquareCompute() = default;
  };
  
  class ReciprocalCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~ReciprocalCompute() = default;
  };
  
  class SqrtCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~SqrtCompute() = default;
  };
  
  class PowCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::PowParam;
  
    virtual void Run();
  
    virtual ~PowCompute() = default;
  };
  
  class SignCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    virtual void Run();
  
    virtual ~SignCompute() = default;
  };
  
  }  // namespace xpu
  }  // namespace kernels
  }  // namespace lite
  }  // namespace paddle
  