/* 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 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(CudaRelu6)
USE_PHI_FUNCTOR(CudaHardShrink)
USE_PHI_FUNCTOR(CudaSoftShrink)
USE_PHI_FUNCTOR(CudaTanhShrink)
USE_PHI_FUNCTOR(CudaSilu)
USE_PHI_FUNCTOR(CudaELU)
USE_PHI_FUNCTOR(CudaSoftsign)
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>>);

REGISTER_OP_CUDA_KERNEL(
    relu6,
    ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,
                              ops::CudaRelu6Functor<float>>,
    ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,
                              ops::CudaRelu6Functor<double>>,
    ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,
                              ops::CudaRelu6Functor<int>>,
    ops::ActivationCudaKernel<paddle::platform::CUDADeviceContext,
                              ops::CudaRelu6Functor<int64_t>>,
    ops::ActivationCudaKernel<plat::CUDADeviceContext,
                              ops::CudaRelu6Functor<plat::float16>>,
    ops::ActivationCudaKernel<plat::CUDADeviceContext,
                              ops::CudaRelu6Functor<plat::bfloat16>>);
REGISTER_OP_CUDA_KERNEL(
    relu6_grad,
    ops::ActivationGradCudaKernel<plat::CUDADeviceContext,
                                  ops::CudaRelu6GradFunctor<float>>,
    ops::ActivationGradCudaKernel<plat::CUDADeviceContext,
                                  ops::CudaRelu6GradFunctor<double>>,
    ops::ActivationGradCudaKernel<plat::CUDADeviceContext,
                                  ops::CudaRelu6GradFunctor<int>>,
    ops::ActivationGradCudaKernel<plat::CUDADeviceContext,
                                  ops::CudaRelu6GradFunctor<int64_t>>,
    ops::ActivationGradCudaKernel<plat::CUDADeviceContext,
                                  ops::CudaRelu6GradFunctor<plat::float16>>,
    ops::ActivationGradCudaKernel<plat::CUDADeviceContext,
                                  ops::CudaRelu6GradFunctor<plat::bfloat16>>);

#define FOR_EACH_ACTIVATION_CUDA_OP(__macro)                                  \
  __macro(soft_relu, SoftRelu, CudaSoftReluFunctor, CudaSoftReluGradFunctor); \
  __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,
                              phi::funcs::CudaCELUFunctor<float>>);
REGISTER_OP_KERNEL(
    celu_grad,
    KP,
    plat::XPUPlace,
    ops::ActivationGradCudaKernel<paddle::platform::XPUDeviceContext,
                                  phi::funcs::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