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 <algorithm>
  #include "lite/core/kernel.h"
  #include "lite/core/op_registry.h"
  
  namespace paddle {
  namespace lite {
  namespace kernels {
  namespace arm {
  
  class ReluClippedCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~ReluClippedCompute() = default;
  };
  
  class SwishCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~SwishCompute() = default;
  };
  
  class LogCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~LogCompute() = default;
  };
  
  class ExpCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~ExpCompute() = default;
  };
  
  class FloorCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~FloorCompute() = default;
  };
  
  template <PrecisionType PType>
  class HardSigmoidCompute : public KernelLite<TARGET(kARM), PType> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~HardSigmoidCompute() = default;
  };
  
  class SqrtCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~SqrtCompute() = default;
  };
  
  class RsqrtCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~RsqrtCompute() = default;
  };
  
  class SquareCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~SquareCompute() = default;
  };
  
  class HardSwishCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~HardSwishCompute() = default;
  };
  
  class ReciprocalCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~ReciprocalCompute() = default;
  };
  
  class AbsCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~AbsCompute() = default;
  };
  
  class GeluCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~GeluCompute() = default;
  };
  
  template <typename T>
  class ErfCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~ErfCompute() = default;
  };
  
  template <typename T>
  class SignCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~SignCompute() = default;
  };
  
  template <typename T>
  class SoftPlusCompute : public KernelLite<TARGET(kARM), PRECISION(kFloat)> {
   public:
    using param_t = operators::ActivationParam;
  
    void Run() override;
  
    virtual ~SoftPlusCompute() = default;
  };
  }  // namespace arm
  }  // namespace kernels
  }  // namespace lite
  }  // namespace paddle
  