/* Copyright (c) 2016 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. */

#include "paddle/fluid/operators/activation_op.h"
#include "paddle/fluid/operators/amp/fp16_type_traits.h"
#include "paddle/fluid/operators/elementwise/elementwise_op_impl.cu.h"
#include "paddle/fluid/platform/bfloat16.h"
#include "paddle/fluid/platform/device/gpu/gpu_device_function.h"

#include "paddle/phi/kernels/funcs/activation_functor.h"

namespace paddle {
namespace operators {

template <typename T>
struct CudaSoftReluFunctor : public BaseActivationFunctor<T> {
  using MPType = typename details::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);
  float threshold;

  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"threshold", &threshold}};
  }

  // soft_relu(x) = log(1 + exp(max(min(x, threshold), -threshold)))
  // threshold should not be negative
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    MPType t = static_cast<MPType>(threshold);
    MPType temp_min = x < t ? x : t;
    MPType temp_max = temp_min > -t ? temp_min : -t;
    return static_cast<T>(log(one + exp(temp_max)));
  }
};

template <typename T>
struct CudaSoftReluGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename details::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);
  float threshold;

  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"threshold", &threshold}};
  }

  // dx = (out > -threshold && out < threshold) ? dout * (1 - exp(-out)) : 0
  // threshold should not be negative
  __device__ __forceinline__ T operator()(const T arg_dout,
                                          const T arg_out) const {
    MPType dout = static_cast<MPType>(arg_dout);
    MPType out = static_cast<MPType>(arg_out);
    MPType t = static_cast<MPType>(threshold);
    return (out > -t && out < t) ? static_cast<T>(dout * (one - exp(-out)))
                                 : static_cast<T>(0.0f);
  }

  static constexpr ActBwdOpFwdDeps FwdDeps() {
    return ActBwdOpFwdDeps::kDepOut;
  }
};

template <typename T>
struct CudaRelu6Functor : public BaseActivationFunctor<T> {
  T zero = static_cast<T>(0.0f);
  float threshold;

  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"threshold", &threshold}};
  }

  // relu6(x) = min(max(0, x), 6)
  __device__ __forceinline__ T operator()(const T x) const {
    T t = static_cast<T>(threshold);
    return x <= zero ? zero : (x < t ? x : t);
  }
};

template <typename T>
struct CudaRelu6GradFunctor : public BaseActivationFunctor<T> {
  T zero = static_cast<T>(0.0f);
  float threshold;

  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"threshold", &threshold}};
  }

  // dx = (out > 0 && out < t) ? dout : 0
  __device__ __forceinline__ T operator()(const T dout, const T out) const {
    T t = static_cast<T>(threshold);
    return (out > zero && out < t) ? dout : zero;
  }

  static constexpr ActBwdOpFwdDeps FwdDeps() {
    return ActBwdOpFwdDeps::kDepOut;
  }
};

template <typename T>
struct CudaSoftsignFunctor : public BaseActivationFunctor<T> {
  T one = static_cast<T>(1.0f);

  // softsign(x) = x / (1 + abs(x))
  __device__ __forceinline__ T operator()(const T x) const {
    return x / (one + abs(x));
  }
};

template <typename T>
struct CudaSoftsignGradFunctor : public BaseActivationFunctor<T> {
  T one = static_cast<T>(1.0f);

  // dx = dout / (1 + abs(x))^2
  __device__ __forceinline__ T operator()(const T dout, const T x) const {
    T temp = one + abs(x);
    return dout / (temp * temp);
  }

  static constexpr ActBwdOpFwdDeps FwdDeps() { return ActBwdOpFwdDeps::kDepX; }
};

template <typename T>
struct CudaCELUFunctor : public BaseActivationFunctor<T> {
  using CT = typename details::MPTypeTrait<T>::Type;
  CT zero = static_cast<CT>(0.0f);
  CT one = static_cast<CT>(1.0f);
  float alpha;

  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }

  // celu(x) = max(0, x) + min(0, alpha * (exp(x/alpha) - 1))
  __device__ __forceinline__ T operator()(const T arg_x) const {
    CT x = static_cast<CT>(arg_x);
    CT temp = static_cast<CT>(alpha) * (exp(x / static_cast<CT>(alpha)) - one);
    CT res = (x > zero ? x : zero) + (temp > zero ? zero : temp);
    return static_cast<T>(res);
  }
};

template <typename T>
struct CudaCELUGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename details::MPTypeTrait<T>::Type;
  MPType zero = static_cast<MPType>(0.0f);
  MPType one = static_cast<MPType>(1.0f);
  float alpha;

  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }

  // dx = dout, if alpha > 0 and x > 0
  // dx = dout * (x/alpha).exp(), if alpha > 0 and x <= 0
  // dx = dout , if alpha < 0 and x > 0
  // dx = dout * (x/alpha).exp(), if alpha < 0 and x <=0
  __device__ __forceinline__ T operator()(const T arg_dout,
                                          const T arg_x) const {
    MPType dout = static_cast<MPType>(arg_dout);
    MPType x = static_cast<MPType>(arg_x);
    MPType a = static_cast<MPType>(alpha);
    MPType temp_a_pos = static_cast<MPType>(alpha > 0.0f);
    MPType temp_a_neg = static_cast<MPType>(alpha <= 0.0f);
    MPType temp_x_pos = static_cast<MPType>(x > zero);
    MPType temp_x_neg = static_cast<MPType>(x <= zero);
    return static_cast<T>(
        dout *
        (temp_a_pos * temp_x_pos + temp_a_pos * temp_x_neg * exp(x / a) +
         temp_a_neg * temp_x_pos + exp(x / a) * temp_a_neg * temp_x_neg));
  }

  static constexpr ActBwdOpFwdDeps FwdDeps() { return ActBwdOpFwdDeps::kDepX; }
};

template <typename DeviceContext, typename Functor>
class ActivationCudaKernel
    : public framework::OpKernel<typename Functor::ELEMENT_TYPE> {
 public:
  using T = typename Functor::ELEMENT_TYPE;
  void Compute(const framework::ExecutionContext& ctx) const override {
    const framework::Tensor* x = nullptr;
    framework::Tensor* out = nullptr;
    ExtractActivationTensor(ctx, &x, &out);
    out->mutable_data<T>(ctx.GetPlace());
    auto& dev_ctx = ctx.template device_context<DeviceContext>();
    std::vector<const framework::Tensor*> ins = {x};
    std::vector<framework::Tensor*> outs = {out};
    auto functor = Functor();
    auto attrs = functor.GetAttrs();
    for (auto& attr : attrs) {
      *attr.second = ctx.Attr<float>(attr.first);
    }
    paddle::operators::LaunchSameDimsElementwiseCudaKernel<T>(dev_ctx, ins,
                                                              &outs, functor);
  }
};

template <typename DeviceContext, typename Functor>
class ActivationGradCudaKernel
    : public framework::OpKernel<typename Functor::ELEMENT_TYPE> {
 public:
  using T = typename Functor::ELEMENT_TYPE;
  void Compute(const framework::ExecutionContext& ctx) const override {
    const framework::Tensor *x, *out, *d_out;
    framework::Tensor* d_x = nullptr;
    x = out = d_out = nullptr;
    ExtractActivationGradTensor<Functor::FwdDeps()>(ctx, &x, &out, &d_out,
                                                    &d_x);
    d_x->mutable_data<T>(ctx.GetPlace());
    auto& dev_ctx = ctx.template device_context<DeviceContext>();
    auto functor = Functor();
    auto attrs = functor.GetAttrs();
    for (auto& attr : attrs) {
      *attr.second = ctx.Attr<float>(attr.first);
    }

    std::vector<const framework::Tensor*> ins = {d_out};
    std::vector<framework::Tensor*> outs = {d_x};

    if (static_cast<int>(Functor::FwdDeps()) ==
        static_cast<int>(ActBwdOpFwdDeps::kDepOut)) {
      // Only need forward output Out
      ins.push_back(out);
      paddle::operators::LaunchSameDimsElementwiseCudaKernel<T>(dev_ctx, ins,
                                                                &outs, functor);
    } else if (static_cast<int>(Functor::FwdDeps()) ==
               static_cast<int>(ActBwdOpFwdDeps::kDepX)) {
      // Only need forward input X
      ins.push_back(x);
      paddle::operators::LaunchSameDimsElementwiseCudaKernel<T>(dev_ctx, ins,
                                                                &outs, functor);
    } else {
      paddle::operators::LaunchSameDimsElementwiseCudaKernel<T>(dev_ctx, ins,
                                                                &outs, functor);
    }
  }
};

USE_PHI_FUNCTOR(CudaCos)
USE_PHI_FUNCTOR(CudaTan)
USE_PHI_FUNCTOR(CudaAcos)
USE_PHI_FUNCTOR(CudaSin)
USE_PHI_FUNCTOR(CudaAsin)
USE_PHI_FUNCTOR(CudaAtan)
USE_PHI_FUNCTOR(CudaSinh)
USE_PHI_FUNCTOR(CudaCosh)
USE_PHI_FUNCTOR(CudaAsinh)
USE_PHI_FUNCTOR(CudaAcosh)
USE_PHI_FUNCTOR(CudaAtanh)
USE_PHI_FUNCTOR(CudaTanh)
USE_PHI_FUNCTOR(CudaBRelu)
USE_PHI_FUNCTOR(CudaLeakyRelu)
USE_PHI_FUNCTOR(CudaThresholdedRelu)
USE_PHI_FUNCTOR(CudaHardShrink)
USE_PHI_FUNCTOR(CudaSoftShrink)
USE_PHI_FUNCTOR(CudaTanhShrink)
USE_PHI_FUNCTOR(CudaSilu)
USE_PHI_FUNCTOR(CudaELU)
USE_PHI_FUNCTOR(CudaSigmoid)
USE_PHI_FUNCTOR(CudaLogSigmoid)
USE_PHI_FUNCTOR(CudaHardSigmoid)
USE_PHI_FUNCTOR(CudaLog)
USE_PHI_FUNCTOR(CudaLog2)
USE_PHI_FUNCTOR(CudaLog10)
USE_PHI_FUNCTOR(CudaLog1p)
USE_PHI_FUNCTOR(CudaSwish)
USE_PHI_FUNCTOR(CudaHardSwish)

template <typename T>
using CudaRoundFunctor = phi::funcs::CudaRoundFunctor<T>;

template <typename T>
using CudaFloorFunctor = phi::funcs::CudaFloorFunctor<T>;

template <typename T>
using CudaCeilFunctor = phi::funcs::CudaCeilFunctor<T>;

template <typename T>
using CudaZeroGradFunctor = phi::funcs::CudaZeroGradFunctor<T>;

USE_PHI_FUNCTOR(CudaExp)
USE_PHI_FUNCTOR(CudaExpm1)
USE_PHI_FUNCTOR(CudaMish)
USE_PHI_FUNCTOR(CudaSTanh)
USE_PHI_FUNCTOR(CudaReciprocal)
USE_PHI_FUNCTOR(CudaSquare)
USE_PHI_FUNCTOR(CudaSqrt)
USE_PHI_FUNCTOR(CudaRsqrt)
USE_PHI_FUNCTOR(CudaSoftplus)

template <typename T>
using CudaELUGradNegativeAlphaFunctor =
    phi::funcs::CudaELUGradNegativeAlphaFunctor<T>;

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
namespace plat = paddle::platform;

#define REGISTER_ACTIVATION_CUDA_KERNEL(act_type, op_name, functor,            \
                                        grad_functor)                          \
  REGISTER_OP_CUDA_KERNEL(                                                     \
      act_type, ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext, \
                                          ops::functor<float>>,                \
      ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,           \
                                ops::functor<double>>,                         \
      ops::ActivationCudaKernel<plat::CUDADeviceContext,                       \
                                ops::functor<plat::float16>>,                  \
      ops::ActivationCudaKernel<plat::CUDADeviceContext,                       \
                                ops::functor<plat::bfloat16>>);                \
  REGISTER_OP_CUDA_KERNEL(                                                     \
      act_type##_grad,                                                         \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<float>>,                 \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<double>>,                \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<plat::float16>>,         \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<plat::bfloat16>>);

#define REGISTER_ACTIVATION_CUDA_KERNEL_INT(act_type, op_name, functor,        \
                                            grad_functor)                      \
  REGISTER_OP_CUDA_KERNEL(                                                     \
      act_type, ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext, \
                                          ops::functor<float>>,                \
      ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,           \
                                ops::functor<double>>,                         \
      ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,           \
                                ops::functor<int>>,                            \
      ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,           \
                                ops::functor<int64_t>>,                        \
      ops::ActivationCudaKernel<plat::CUDADeviceContext,                       \
                                ops::functor<plat::float16>>,                  \
      ops::ActivationCudaKernel<plat::CUDADeviceContext,                       \
                                ops::functor<plat::bfloat16>>);                \
  REGISTER_OP_CUDA_KERNEL(                                                     \
      act_type##_grad,                                                         \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<float>>,                 \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<double>>,                \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<int>>,                   \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<int64_t>>,               \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<plat::float16>>,         \
      ops::ActivationGradCudaKernel<plat::CUDADeviceContext,                   \
                                    ops::grad_functor<plat::bfloat16>>);

/* ========================================================================== */

/* ======================== celu register  ============================ */
REGISTER_ACTIVATION_CUDA_KERNEL(celu, CELU, CudaCELUFunctor,
                                CudaCELUGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    celu_grad_grad, ops::CELUDoubleGradKernel<plat::CUDADeviceContext,
                                              ops::CELUGradGradFunctor<float>>,
    ops::CELUDoubleGradKernel<plat::CUDADeviceContext,
                              ops::CELUGradGradFunctor<double>>,
    ops::CELUDoubleGradKernel<plat::CUDADeviceContext,
                              ops::CELUGradGradFunctor<plat::float16>>);
/* ========================================================================== */

/* ===========================   sqrt register  ============================= */

REGISTER_OP_CUDA_KERNEL(
    sqrt_grad_grad,
    ops::SqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                              ops::SqrtGradGradFunctor<float>>,
    ops::SqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                              ops::SqrtGradGradFunctor<double>>,
    ops::SqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                              ops::SqrtGradGradFunctor<plat::float16>>,
    ops::SqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                              ops::SqrtGradGradFunctor<plat::bfloat16>>);
/* ========================================================================== */

/* ===========================   rsqrt register  =============================
 */

REGISTER_OP_CUDA_KERNEL(
    rsqrt_grad_grad,
    ops::RsqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                               ops::RsqrtGradGradFunctor<float>>,
    ops::RsqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                               ops::RsqrtGradGradFunctor<double>>,
    ops::RsqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                               ops::RsqrtGradGradFunctor<plat::float16>>);
/* ========================================================================== */

/* ===========================  square register  ============================ */

REGISTER_OP_CUDA_KERNEL(
    square_grad_grad,
    ops::SquareDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                ops::SquareGradGradFunctor<float>>,
    ops::SquareDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                ops::SquareGradGradFunctor<double>>,
    ops::SquareDoubleGradKernel<plat::CUDADeviceContext,
                                ops::SquareGradGradFunctor<plat::float16>>,
    ops::SquareDoubleGradKernel<plat::CUDADeviceContext,
                                ops::SquareGradGradFunctor<plat::bfloat16>>,
    ops::SquareDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                ops::SquareGradGradFunctor<int>>,
    ops::SquareDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                ops::SquareGradGradFunctor<int64_t>>);
/* ========================================================================== */

/* ==========================   logit register  ============================ */
namespace ops = paddle::operators;
/* ========================================================================== */

/* ==========================   exp register  ============================ */
/* ========================================================================== */

/* ==========================   expm1 register  ============================ */
/* ========================================================================== */

#define FOR_EACH_ACTIVATION_CUDA_OP(__macro)                                  \
  __macro(soft_relu, SoftRelu, CudaSoftReluFunctor, CudaSoftReluGradFunctor); \
  __macro(relu6, Relu6, CudaRelu6Functor, CudaRelu6GradFunctor);              \
  __macro(softsign, Softsign, CudaSoftsignFunctor, CudaSoftsignGradFunctor);

FOR_EACH_ACTIVATION_CUDA_OP(REGISTER_ACTIVATION_CUDA_KERNEL)

#ifdef PADDLE_WITH_XPU_KP
REGISTER_OP_KERNEL(
    brelu, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              phi::funcs::CudaBReluFunctor<float>>);
REGISTER_OP_KERNEL(
    brelu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  phi::funcs::CudaBReluGradFunctor<float>>);

REGISTER_OP_KERNEL(ceil, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaCeilFunctor<float>>);
REGISTER_OP_KERNEL(
    ceil_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaZeroGradFunctor<float>>);

REGISTER_OP_KERNEL(celu, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaCELUFunctor<float>>);
REGISTER_OP_KERNEL(
    celu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaCELUGradFunctor<float>>);

REGISTER_OP_KERNEL(elu, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaELUFunctor<float>>);
REGISTER_OP_KERNEL(
    elu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaELUGradFunctor<float>>);

REGISTER_OP_KERNEL(exp, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaExpFunctor<float>>);
REGISTER_OP_KERNEL(
    exp_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaExpGradFunctor<float>>);

REGISTER_OP_KERNEL(floor, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaFloorFunctor<float>>);
REGISTER_OP_KERNEL(
    floor_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaZeroGradFunctor<float>>);

REGISTER_OP_KERNEL(
    hard_shrink, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              ops::CudaHardShrinkFunctor<float>>);
REGISTER_OP_KERNEL(
    hard_shrink_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaHardShrinkGradFunctor<float>>);

REGISTER_OP_KERNEL(
    hard_sigmoid, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              ops::CudaHardSigmoidFunctor<float>>);
REGISTER_OP_KERNEL(
    hard_sigmoid_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaHardSigmoidGradFunctor<float>>);

REGISTER_OP_KERNEL(hard_swish, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaHardSwishFunctor<float>>);
REGISTER_OP_KERNEL(
    hard_swish_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaHardSwishGradFunctor<float>>);

REGISTER_OP_KERNEL(
    leaky_relu, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              phi::funcs::CudaLeakyReluFunctor<float>>);
REGISTER_OP_KERNEL(
    leaky_relu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  phi::funcs::CudaLeakyReluGradFunctor<float>>);

REGISTER_OP_KERNEL(log, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaLogFunctor<float>>);
REGISTER_OP_KERNEL(
    log_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaLogGradFunctor<float>>);

REGISTER_OP_KERNEL(log1p, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaLog1pFunctor<float>>);
REGISTER_OP_KERNEL(
    log1p_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaLog1pGradFunctor<float>>);

REGISTER_OP_KERNEL(
    logsigmoid, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              ops::CudaLogSigmoidFunctor<float>>);
REGISTER_OP_KERNEL(
    logsigmoid_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaLogSigmoidGradFunctor<float>>);

REGISTER_OP_KERNEL(
    reciprocal, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              ops::CudaReciprocalFunctor<float>>);
REGISTER_OP_KERNEL(
    reciprocal_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaReciprocalGradFunctor<float>>);

REGISTER_OP_KERNEL(
    relu, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              phi::funcs::CudaReluFunctor<float>>);
REGISTER_OP_KERNEL(
    relu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  phi::funcs::CudaReluGradFunctor<float>>);

REGISTER_OP_KERNEL(relu6, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaRelu6Functor<float>>);
REGISTER_OP_KERNEL(
    relu6_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaRelu6GradFunctor<float>>);

REGISTER_OP_KERNEL(sigmoid, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSigmoidFunctor<float>>);
REGISTER_OP_KERNEL(
    sigmoid_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSigmoidGradFunctor<float>>);

REGISTER_OP_KERNEL(silu, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSiluFunctor<float>>);
REGISTER_OP_KERNEL(
    silu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSiluGradFunctor<float>>);

REGISTER_OP_KERNEL(soft_relu, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSoftReluFunctor<float>>);
REGISTER_OP_KERNEL(
    soft_relu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSoftReluGradFunctor<float>>);

REGISTER_OP_KERNEL(softplus, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSoftplusFunctor<float>>);
REGISTER_OP_KERNEL(
    softplus_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSoftplusGradFunctor<float>>);

REGISTER_OP_KERNEL(
    softshrink, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              ops::CudaSoftShrinkFunctor<float>>);
REGISTER_OP_KERNEL(
    softshrink_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSoftShrinkGradFunctor<float>>);

REGISTER_OP_KERNEL(softsign, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSoftsignFunctor<float>>);
REGISTER_OP_KERNEL(
    softsign_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSoftsignGradFunctor<float>>);

REGISTER_OP_KERNEL(sqrt, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSqrtFunctor<float>>);
REGISTER_OP_KERNEL(
    sqrt_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSqrtGradFunctor<float>>);

REGISTER_OP_KERNEL(square, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSquareFunctor<float>>);
REGISTER_OP_KERNEL(
    square_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSquareGradFunctor<float>>);

REGISTER_OP_KERNEL(swish, KP, plat::XPUPlace,
                   ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                                             ops::CudaSwishFunctor<float>>);
REGISTER_OP_KERNEL(
    swish_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaSwishGradFunctor<float>>);

REGISTER_OP_KERNEL(
    thresholded_relu, KP, plat::XPUPlace,
    ops::ActivationCudaKernel<paddle::platform::XPUDeviceContext,
                              ops::CudaThresholdedReluFunctor<float>>);
REGISTER_OP_KERNEL(
    thresholded_relu_grad, KP, plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  ops::CudaThresholdedReluGradFunctor<float>>);

#endif  // PADDLE_WITH_XPU_KP