// Copyright (c) 2022 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 <glog/logging.h>
#include <algorithm>
#include <memory>
#include <string>
#include <unordered_set>
#include <utility>
#include <vector>

#include <cmath>
#ifndef _USE_MATH_DEFINES
#define _USE_MATH_DEFINES
#endif

#include <type_traits>

#include "paddle/phi/common/amp_type_traits.h"
#include "paddle/phi/common/bfloat16.h"
#include "paddle/phi/common/float16.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/enforce.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/eigen/common.h"
#include "paddle/phi/kernels/funcs/eigen/extensions.h"

#ifdef PADDLE_WITH_XPU_KP
#define __forceinline__ __inline__
#endif

namespace phi {
namespace funcs {
enum ActBwdOpFwdDeps {
  kNoDeps = 0x00,  // Do not need any forward input/output
  kDepX = 0x01,    // Only need forward input X
  kDepOut = 0x02,  // Only need forward output Out
};

template <typename T>
struct BaseActivationFunctor {
  using ELEMENT_TYPE = T;

  using AttrPair = std::vector<std::pair<const char*, float*>>;

  AttrPair GetAttrs() { return AttrPair(); }
};

template <typename T>
struct Sine {
  HOSTDEVICE T operator()(const T& val) const { return sin(val); }
};

template <>
struct Sine<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(sin(static_cast<float>(val)));
  }
};

template <typename T>
struct Cosine {
  HOSTDEVICE T operator()(const T& val) const { return cos(val); }
};

template <>
struct Cosine<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(cos(static_cast<float>(val)));
  }
};

// sine'(x) = cos(x)
template <typename T>
struct SinGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * x.unaryExpr(Cosine<T>());
  }

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

// sine(x) = sin(x)
template <typename T>
struct SinFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Sine<T>());
  }
};

// cosine'(x) = -sin(x)
template <typename T>
struct CosGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = -dout * x.unaryExpr(Sine<T>());
  }

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

// cosine(x) = cos(x)
template <typename T>
struct CosFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Cosine<T>());
  }
};

template <typename T>
struct Tangent {
  HOSTDEVICE T operator()(const T& val) const { return tan(val); }
};

template <>
struct Tangent<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(tan(static_cast<float>(val)));
  }
};

// Tangent'(x) = -Tangent(x)
template <typename T>
struct TanGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout / x.unaryExpr(Cosine<T>()).square();
  }

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

// Tangent(x) = tan(x)
template <typename T>
struct TanFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Tangent<T>());
  }
};

template <typename T>
struct Sinh {
  HOSTDEVICE T operator()(const T& val) const { return sinh(val); }
};

template <>
struct Sinh<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(sinhf(static_cast<float>(val)));
  }
};

template <typename T>
struct Cosh {
  HOSTDEVICE T operator()(const T& val) const { return cosh(val); }
};

template <>
struct Cosh<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(coshf(static_cast<float>(val)));
  }
};

// sinh(x) = sinh(x)
template <typename T>
struct SinhFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Sinh<T>());
  }
};

// cosh(x) = cosh(x)
template <typename T>
struct CoshFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Cosh<T>());
  }
};

// sinh'(x) = cosh(x)
template <typename T>
struct SinhGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * x.unaryExpr(Cosh<T>());
  }

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

// cosh'(x) = sinh(x)
template <typename T>
struct CoshGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * x.unaryExpr(Sinh<T>());
  }

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

template <typename T>
struct Acos {
  HOSTDEVICE T operator()(const T& val) const { return acos(val); }
};

template <>
struct Acos<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(acos(static_cast<float>(val)));
  }
};

// Acos(x) = acos(x)
template <typename T>
struct AcosFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Acos<T>());
  }
};

// acos'(x) = -1/sqrt(1-x^2)
template <typename T>
struct AcosGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) =
        -dout * static_cast<T>(1) / (static_cast<T>(1) - x.square()).sqrt();
  }

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

template <typename T>
struct Asin {
  HOSTDEVICE T operator()(const T& val) const { return asin(val); }
};

template <>
struct Asin<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(asin(static_cast<float>(val)));
  }
};

// Asin(x) = asin(x)
template <typename T>
struct AsinFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Asin<T>());
  }
};

// asin'(x) = 1/sqrt(1-x^2)
template <typename T>
struct AsinGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) =
        dout * static_cast<T>(1) / (static_cast<T>(1) - x.square()).sqrt();
  }

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

template <typename T>
struct Atan {
  HOSTDEVICE T operator()(const T& val) const { return atan(val); }
};

template <>
struct Atan<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(atan(static_cast<float>(val)));
  }
};

// Atan(x) = atan(x)
template <typename T>
struct AtanFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Atan<T>());
  }
};

// atan'(x) =  1 / (1 + x^2)
template <typename T>
struct AtanGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * static_cast<T>(1) / (static_cast<T>(1) + x.square());
  }

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

template <typename T>
struct Acosh {
  HOSTDEVICE T operator()(const T& val) const { return acosh(val); }
};

template <>
struct Acosh<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(acosh(static_cast<float>(val)));
  }
};

// Acosh(x) = acosh(x)
template <typename T>
struct AcoshFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Acosh<T>());
  }
};

// acosh'(x) =  1/sqrt(x^2 - 1)
template <typename T>
struct AcoshGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) =
        dout * static_cast<T>(1) / (x * x - static_cast<T>(1)).sqrt();
  }

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

template <typename T>
struct Asinh {
  HOSTDEVICE T operator()(const T& val) const { return asinh(val); }
};

template <>
struct Asinh<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(asinh(static_cast<float>(val)));
  }
};

// Asinh(x) = asinh(x)
template <typename T>
struct AsinhFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Asinh<T>());
  }
};

// asinh'(x) =  1/sqrt(x^2 + 1)
template <typename T>
struct AsinhGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) =
        dout * static_cast<T>(1) / (x.square() + static_cast<T>(1)).sqrt();
  }

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

template <typename T>
struct Atanh {
  HOSTDEVICE T operator()(const T& val) const { return atanh(val); }
};

template <>
struct Atanh<dtype::float16> {
  HOSTDEVICE dtype::float16 operator()(const dtype::float16& val) const {
    return dtype::float16(atanh(static_cast<float>(val)));
  }
};

// Atanh(x) = atanh(x)
template <typename T>
struct AtanhFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr(Atanh<T>());
  }
};

// atanh'(x) =  1/(1 - x^2)
template <typename T>
struct AtanhGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * static_cast<T>(1) / (static_cast<T>(1) - x.square());
  }

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

// relu(x) = max(x, 0)
template <typename T>
struct ReluCPUFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.unaryExpr([] HOSTDEVICE(T v) {
      return v > static_cast<T>(0) ? v : static_cast<T>(0);
    });
  }
};

template <typename T>
struct ReluCUDAFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.cwiseMax(static_cast<T>(0));
  }
};

template <typename T>
struct ReluGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * (out > static_cast<T>(0)).template cast<T>();
  }

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

template <typename T>
struct ReluGradGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* X,
                  const DenseTensor* Out,
                  const DenseTensor* ddX,
                  DenseTensor* ddOut,
                  DenseTensor* dOut,
                  DenseTensor* dX) const {
    auto* d = dev.eigen_device();
    auto ddx = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(ddX, "Input", "DDX", "ReluGradGrad"));
    auto out = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(Out, "Output", "Out", "ReluGradGrad"));
    if (ddOut) {
      auto ddout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(ddOut, "Output", "DDOut", "ReluGradGrad"));
      ddout.device(*d) = ddx * (out > static_cast<T>(0)).template cast<T>();
    }
  }
  static constexpr ActBwdOpFwdDeps FwdDeps() {
    return ActBwdOpFwdDeps::kDepOut;
  }
};

// tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
template <typename T>
struct TanhFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.tanh();
  }
};

template <typename T>
struct TanhGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * (static_cast<T>(1) - out * out);
  }

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

template <typename T>
struct TanhGradGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* Out,
                  const DenseTensor* ddX,
                  const DenseTensor* dOut,
                  DenseTensor* dOutNew,
                  DenseTensor* ddOut) const {
    auto* d = dev.eigen_device();
    auto ddx = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(ddX, "Input", "DDX", "TanhGradGrad"));
    auto out = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(Out, "Input", "Out", "TanhGradGrad"));
    // tanh grad grad : ddout = (1 - out^2) * ddx, dout = - (dout_old * 2 * out
    // * ddx)
    if (dOutNew) {
      auto dout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dOut, "Input", "DOut", "TanhGradGrad"));
      auto dout_new = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dOutNew, "Output", "DOutNew", "TanhGradGrad"));
      dout_new.device(*d) =
          static_cast<T>(-1) * dout * static_cast<T>(2) * out * ddx;
    }
    if (ddOut) {
      auto ddout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(ddOut, "Output", "DDOut", "TanhGradGrad"));
      ddout.device(*d) = (static_cast<T>(1) - out * out) * ddx;
    }
  }
  static constexpr ActBwdOpFwdDeps FwdDeps() {
    return ActBwdOpFwdDeps::kDepOut;
  }
};
/*
    Out
    DOut                            D_Dout
    DDx     -> TanhTripleGrad ->    D_DDx
    D_DDout                         d_OutNew
    D_Dout_new

    D_Dout = (-2) * Out * DDx * D_Dout_new
    D_DDx = (1-Out^2)*D_DDout + (-2) * Out * DOut * D_Dout_new
    D_OutNew = (-2) * Out * DDx * D_DDout + (-2) * DOut * DDx * D_Dout_new

    Out, DDX, DOut, D_DDOut, D_DOut_New   // input
    D_OutNew, D_DOut, D_DDx               // output
*/
template <typename T>
struct TanhTripleGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* Out,
                  const DenseTensor* ddX,
                  const DenseTensor* dOut,
                  const DenseTensor* d_DDOut,
                  const DenseTensor* d_dOut_New,
                  DenseTensor* d_d_Out,
                  DenseTensor* d_Out_New,
                  DenseTensor* d_DDx) const {
    auto* d = dev.eigen_device();
    auto ddx = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(ddX, "Input", "DDX", "TanhTripleGrad"));
    auto out = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(Out, "Input", "Out", "TanhTripleGrad"));
    auto dout = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(dOut, "Input", "DOut", "TanhTripleGrad"));
    auto d_ddOut = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(d_DDOut, "Input", "D_DDOut", "TanhTripleGrad"));
    auto d_dOutNew = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(d_dOut_New, "Input", "D_DOut_New", "TanhTripleGrad"));

    if (d_Out_New) {
      auto d_OutNew = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(d_Out_New, "Output", "D_OutNew", "TanhTripleGrad"));
      d_OutNew.device(*d) = (static_cast<T>(-2) * out * ddx * d_ddOut) -
                            (static_cast<T>(2) * dout * ddx * d_dOutNew);
    }
    if (d_d_Out) {
      auto d_dOut = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(d_d_Out, "Output", "D_DOut", "TanhTripleGrad"));
      d_dOut.device(*d) = static_cast<T>(-2) * out * ddx * d_dOutNew;
    }
    if (d_DDx) {
      auto d_ddx = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(d_DDx, "Output", "D_DDx", "TanhTripleGrad"));
      d_ddx.device(*d) = (static_cast<T>(1) - (out * out)) * d_ddOut -
                         static_cast<T>(2) * out * dout * d_dOutNew;
    }
  }
  static constexpr ActBwdOpFwdDeps FwdDeps() {
    return ActBwdOpFwdDeps::kDepOut;
  }
};

template <typename T>
struct BReluFunctor : public BaseActivationFunctor<T> {
  float t_min;
  float t_max;

  // NOTE: Explicit hides the `BaseActivationFunctor<T>::GetAttrs`
  // not polymorphism for speed.
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"t_min", &t_min}, {"t_max", &t_max}};
  }

  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) =
        x.cwiseMax(static_cast<T>(t_min)).cwiseMin(static_cast<T>(t_max));
  }
};

template <typename T>
struct BReluGradFunctor : public BaseActivationFunctor<T> {
  float t_min;
  float t_max;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"t_min", &t_min}, {"t_max", &t_max}};
  }
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout *
                   ((x > static_cast<T>(t_min)) * (x < static_cast<T>(t_max)))
                       .template cast<T>();
  }

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

template <typename T>
struct LeakyReluFunctor : public BaseActivationFunctor<T> {
  float alpha;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }

  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    if (alpha < 1.f) {
      out.device(d) = x.cwiseMax(static_cast<T>(alpha) * x);
    } else {
      out.device(d) = x.cwiseMin(static_cast<T>(alpha) * x);
    }
  }
};

template <typename T>
struct LeakyReluGradFunctor : public BaseActivationFunctor<T> {
  float alpha;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    auto temp1 =
        static_cast<T>(alpha) * (x < static_cast<T>(0)).template cast<T>();
    auto temp2 = (x >= static_cast<T>(0)).template cast<T>();
    dx.device(d) = dout * (temp1 + temp2).template cast<T>();
  }

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

template <typename T>
struct LeakyReluGradGradFunctor : public BaseActivationFunctor<T> {
  float alpha;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* X,
                  const DenseTensor* Out,
                  const DenseTensor* ddX,
                  DenseTensor* ddOut,
                  DenseTensor* dOut,
                  DenseTensor* dX) const {
    if (ddOut) {
      auto* d = dev.eigen_device();
      auto ddx = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(ddX, "Input", "DDX", "LeakyReluGradGrad"));
      auto x = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(X, "Input", "X", "LeakyReluGradGrad"));
      auto ddout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(ddOut, "Output", "DOut", "LeakyReluGradGrad"));
      ddout.device(*d) =
          ddx *
          ((x > static_cast<T>(0)).template cast<T>() +
           static_cast<T>(alpha) * (x <= static_cast<T>(0)).template cast<T>())
              .template cast<T>();
    }
  }
  static constexpr ActBwdOpFwdDeps FwdDeps() { return ActBwdOpFwdDeps::kDepX; }
};

template <typename T>
struct ThresholdedReluFunctor : public BaseActivationFunctor<T> {
  float threshold;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"threshold", &threshold}};
  }

  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    auto th = static_cast<T>(threshold);
    out.device(d) = (x > th).template cast<T>() * x;
  }
};

template <typename T>
struct ThresholdedReluGradFunctor : public BaseActivationFunctor<T> {
  float threshold;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"threshold", &threshold}};
  }

  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    auto th = static_cast<T>(threshold);
    dx.device(d) = dout * (x > th).template cast<T>();
  }

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

// tanhshrink(x) = x - tanh(x)
// where tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
template <typename T>
struct TanhShrinkFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x - x.tanh();
  }
};

template <typename T>
struct TanhShrinkGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * (x.tanh() * x.tanh());
  }

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

// tanhshrink(x) = x - tanh(x)
// where tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
template <typename T>
struct HardShrinkFunctor : public BaseActivationFunctor<T> {
  float threshold;

  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"threshold", &threshold}};
  }
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    auto temp1 = x < static_cast<T>(threshold * -1.f);
    auto temp2 = x > static_cast<T>(threshold);
    out.device(d) = x * (temp1 || temp2).template cast<T>();
  }
};

template <typename T>
struct HardShrinkGradFunctor : public BaseActivationFunctor<T> {
  float threshold;

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

  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    auto temp1 = x < static_cast<T>(threshold * -1.f);
    auto temp2 = x > static_cast<T>(threshold);
    dx.device(d) = dout * (temp1 || temp2).template cast<T>();
  }

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

// softshrink(x) = x - lambda, if x > lambda; x + lambda, if x < -lambda; 0
// otherwise
template <typename T>
struct SoftShrinkFunctor : public BaseActivationFunctor<T> {
  float lambda;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"lambda", &lambda}};
  }

  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    auto lambdaT = static_cast<T>(lambda);
    auto temp1 = (x > lambdaT).template cast<T>();
    auto temp2 = (x < -lambdaT).template cast<T>();
    out.device(d) = temp1 * (x - lambdaT) + temp2 * (x + lambdaT);
  }
};

template <typename T>
struct SoftShrinkGradFunctor : public BaseActivationFunctor<T> {
  float lambda;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"lambda", &lambda}};
  }
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    auto lambdaT = static_cast<T>(lambda);
    auto temp1 = (x > lambdaT).template cast<T>();
    auto temp2 = (x < -lambdaT).template cast<T>();
    dx.device(d) = dout * (temp1 + temp2).template cast<T>();
  }

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

template <typename T>
struct ELUFunctor : public BaseActivationFunctor<T> {
  float alpha;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }

  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) =
        (x < static_cast<T>(0))
            .select(static_cast<T>(alpha) * (x.exp() - static_cast<T>(1)), x);
  }
};

template <typename T>
struct ELUGradFunctor : public BaseActivationFunctor<T> {
  float alpha;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    // case 1: alpha >= 0
    // dx = dout, if out > 0
    // dx = dout * (out + alpha), if out <= 0
    dx.device(d) = (out > static_cast<T>(0))
                       .select(dout, dout * (out + static_cast<T>(alpha)));
  }

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

template <typename T>
struct ELUGradNegativeAlphaFunctor : public BaseActivationFunctor<T> {
  float alpha;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    // case 2: alpha < 0
    // dx = dout, if x > 0
    // dx = dout * (out + alpha), if x <=0
    dx.device(d) = (x > static_cast<T>(0))
                       .select(dout, dout * static_cast<T>(alpha) * x.exp());
  }

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

template <typename T>
struct ELUGradGradFunctor : public BaseActivationFunctor<T> {
  float alpha;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"alpha", &alpha}};
  }
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* X,
                  const DenseTensor* ddX,
                  DenseTensor* ddOut,
                  const DenseTensor* dOut,
                  DenseTensor* dX) const {
    auto* d = dev.eigen_device();
    auto ddx = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(ddX, "Input", "DDX", "ELUGradGrad"));
    auto x = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(X, "Input", "X", "ELUGradGrad"));

    if (dX) {
      auto dx = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dX, "Output", "DX", "ELUGradGrad"));
      auto dout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dOut, "Output", "DOut", "ELUGradGrad"));
      dx.device(*d) = ddx * dout * static_cast<T>(alpha) * x.exp() *
                      (x <= static_cast<T>(0)).template cast<T>();
    }

    if (ddOut) {
      auto ddout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(ddOut, "Output", "DDOut", "ELUGradGrad"));
      ddout.device(*d) = ddx *
                         ((x > static_cast<T>(0)).template cast<T>() +
                          static_cast<T>(alpha) * x.exp() *
                              (x <= static_cast<T>(0)).template cast<T>())
                             .template cast<T>();
    }
  }
  static constexpr ActBwdOpFwdDeps FwdDeps() { return ActBwdOpFwdDeps::kDepX; }
};

// silu(x) = x / (1 + exp(-x))
template <typename T>
struct SiluFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    auto temp = static_cast<T>(1) / (static_cast<T>(1) + (-x).exp());
    out.device(d) = x * temp;
  }
};

// silu'(x) = (1 / (1 + e^{-x}))  * (1 + out * e^{-x}))
template <typename T>
struct SiluGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    auto temp1 = static_cast<T>(1) + (-x).exp();  // 1+e^(-x)
    auto temp2 = x * (-x).exp();                  // x*e^(-x)
    dx.device(d) = dout * ((static_cast<T>(1) / temp1) *
                           (static_cast<T>(1) + (temp2 / temp1)));
  }

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

// sigmoid(x) = 1 / (1 + exp(-x))
template <typename T>
struct SigmoidFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = static_cast<T>(1) / (static_cast<T>(1) + (-x).exp());
  }
};

template <typename T>
struct SigmoidGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * out * (static_cast<T>(1) - out);
  }

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

/*
    Out
    DOut -> SigmoidGradGrad -> DOutNew
    DDX                        DDOut

    DDOut = (1-Out)*Out*DDX
    DOutNew = (1-2*Out)*DOut*DDX
*/
template <typename T>
struct SigmoidGradGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* Out,
                  const DenseTensor* ddX,
                  const DenseTensor* dOut,
                  DenseTensor* dOutNew,
                  DenseTensor* ddOut) const {
    auto* d = dev.eigen_device();
    auto ddx = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(ddX, "Input", "DDX", "SigmoidGradGrad"));
    auto out = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(Out, "Input", "Out", "SigmoidGradGrad"));

    if (dOutNew) {
      auto dout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dOut, "Input", "DOut", "SigmoidGradGrad"));
      auto dout_new = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dOutNew, "Output", "DOutNew", "SigmoidGradGrad"));
      dout_new.device(*d) =
          (static_cast<T>(1) - static_cast<T>(2) * out) * dout * ddx;
    }
    if (ddOut) {
      auto ddout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(ddOut, "Output", "DDOut", "SigmoidGradGrad"));
      ddout.device(*d) = (static_cast<T>(1) - out) * out * ddx;
    }
  }
  static constexpr ActBwdOpFwdDeps FwdDeps() {
    return ActBwdOpFwdDeps::kDepOut;
  }
};

/*
    Out
    DOut                            D_Dout
    DDx     -> SigmoidTripleGrad -> D_DDx
    D_DDout                         d_OutNew
    D_Dout_new

    D_Dout = (1-2*Out)*DDx*D_Dout_new
    D_DDx = (1-Out)*Out*D_DDout + (1-2*Out)*DOut*D_Dout_new
    D_OutNew = (DDx-2*Out*DDx)*D_DDout - 2*DOut*DDx*D_Dout_new

    Out, DDX, DOut, D_DDOut, D_DOut_New   // input
    D_OutNew, D_DOut, D_DDx               // output
*/
template <typename T>
struct SigmoidTripleGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* Out,
                  const DenseTensor* ddX,
                  const DenseTensor* dOut,
                  const DenseTensor* d_DDOut,
                  const DenseTensor* d_dOut_New,
                  DenseTensor* d_d_Out,
                  DenseTensor* d_Out_New,
                  DenseTensor* d_DDx) const {
    auto* d = dev.eigen_device();
    auto ddx = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(ddX, "Input", "DDX", "SigmoidTripleGrad"));
    auto out = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(Out, "Input", "Out", "SigmoidTripleGrad"));
    auto dout = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(dOut, "Input", "DOut", "SigmoidTripleGrad"));
    auto d_ddOut = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(d_DDOut, "Input", "D_DDOut", "SigmoidTripleGrad"));
    auto d_dOutNew = EigenVector<T>::Flatten(GET_DATA_SAFELY(
        d_dOut_New, "Input", "D_DOut_New", "SigmoidTripleGrad"));

    if (d_Out_New) {
      auto d_OutNew = EigenVector<T>::Flatten(GET_DATA_SAFELY(
          d_Out_New, "Output", "D_OutNew", "SigmoidTripleGrad"));
      d_OutNew.device(*d) = (ddx - static_cast<T>(2) * out * ddx) * d_ddOut -
                            static_cast<T>(2) * dout * ddx * d_dOutNew;
    }
    if (d_d_Out) {
      auto d_dOut = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(d_d_Out, "Output", "D_DOut", "SigmoidTripleGrad"));
      d_dOut.device(*d) =
          (static_cast<T>(1) - static_cast<T>(2) * out) * ddx * d_dOutNew;
    }
    if (d_DDx) {
      auto d_ddx = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(d_DDx, "Output", "D_DDx", "SigmoidTripleGrad"));
      d_ddx.device(*d) =
          (static_cast<T>(1) - out) * out * d_ddOut +
          (static_cast<T>(1) - static_cast<T>(2) * out) * dout * d_dOutNew;
    }
  }
  static constexpr ActBwdOpFwdDeps FwdDeps() {
    return ActBwdOpFwdDeps::kDepOut;
  }
};

// Originally: logsigmoid(x) = -log (1 + exp(-x))
// For numerical stability, we can use the log-sum-exp trick:
// https://hips.seas.harvard.edu/blog/2013/01/09/computing-log-sum-exp/
// We can rewrite the above equation as:
// out = -log( exp(0) + exp(-x)) [since exp(0) = 1]
//   = -log( exp(max(-x, 0) - max(-x, 0)) + exp(-x + max(-x, 0) - max(-x, 0)))
//   = -log( exp(max(-x, 0)) * exp(-max(-x, 0)) - exp(max(-x, 0)) * exp(-x -
//           max(-x, 0)))
//   = -log( exp(max(-x, 0)) * (exp(-max(-x, 0)) + exp(-x - max(-x, 0))))
//   = -log( exp(max(-x, 0)) - log(exp(-max(-x, 0)) + exp(-x - max(-x, 0)))
//
// Hence, logsigmoid(x) = - (max(-x, 0) + log(exp(-max(-x, 0))
// + exp(-x - max(-x, 0))))
template <typename T>
struct LogSigmoidFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    auto temp = (-x).cwiseMax(static_cast<T>(0));  // temp = max(-x, 0)
    out.device(d) = -temp - (((-temp).exp() + (-x - temp).exp()).log());
  }
};

// Originally: f' = exp(-x) / (1 + exp(-x))
// For numerical stability: f' = exp(-x - max(-x, 0)) / (exp(-max(-x, 0)) +
// exp(-x - max(-x, 0)))
template <typename T>
struct LogSigmoidGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    auto temp = (-x).cwiseMax(static_cast<T>(0));  // temp = max(-x, 0)
    dx.device(d) =
        dout * ((-x - temp).exp() / ((-temp).exp() + (-x - temp).exp()));
  }

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

template <typename T>
struct HardSigmoidFunctor : public BaseActivationFunctor<T> {
  float slope;
  float offset;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"slope", &slope}, {"offset", &offset}};
  }

  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    auto temp = x * static_cast<T>(slope) + static_cast<T>(offset);
    out.device(d) =
        temp.cwiseMax(static_cast<T>(0)).cwiseMin(static_cast<T>(1));
  }
};

template <typename T>
struct HardSigmoidGradFunctor : public BaseActivationFunctor<T> {
  float slope;
  float offset;
  typename BaseActivationFunctor<T>::AttrPair GetAttrs() {
    return {{"slope", &slope}, {"offset", &offset}};
  }
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout *
                   ((out > static_cast<T>(0)) * (out < static_cast<T>(1)))
                       .template cast<T>() *
                   static_cast<T>(slope);
  }

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

// log(x) = natural logarithm of x
template <typename T>
struct LogFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.log();
  }
};

template <typename T>
struct LogGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * (static_cast<T>(1) / x);
  }

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

// log2(x) = logarithm to the base 2 of the elements of x
template <typename T>
struct Log2Functor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.log() / static_cast<T>(log(2));
  }
};

// the gradient of log2(x) is 1/(x*ln(2))
template <typename T>
struct Log2GradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * static_cast<T>(1) / (x * static_cast<T>(log(2)));
  }

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

// log10(x) = logarithm to the base 10 of the elements of x
template <typename T>
struct Log10Functor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = x.log() / static_cast<T>(log(10));
  }
};

// the gradient of log10(x) is 1/(x*ln(10))
template <typename T>
struct Log10GradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * static_cast<T>(1) / (x * static_cast<T>(log(10)));
  }

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

// log1p(x) = natural logarithm of x+1
template <typename T>
struct Log1pFunctor : public BaseActivationFunctor<T> {
  template <typename Device, typename X, typename Out>
  void operator()(Device d, X x, Out out) const {
    out.device(d) = (static_cast<T>(1) + x).log();
  }
};

template <typename T>
struct Log1pGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device,
            typename X,
            typename Out,
            typename dOut,
            typename dX>
  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
    dx.device(d) = dout * (static_cast<T>(1) / (x + static_cast<T>(1)));
  }

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

template <typename T>
struct LogGradGradFunctor : public BaseActivationFunctor<T> {
  template <typename Device>
  void operator()(const Device& dev,
                  const DenseTensor* X,
                  const DenseTensor* ddX,
                  DenseTensor* ddOut,
                  const DenseTensor* dOut,
                  DenseTensor* dX) const {
    auto* d = dev.eigen_device();
    auto ddx = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(ddX, "Input", "DDX", "LogGradGrad"));
    auto x = EigenVector<T>::Flatten(
        GET_DATA_SAFELY(X, "Input", "X", "LogGradGrad"));
    // ddout = ddx / x; dx = -(dout / x) * (ddx / x)
    // calculate dx first, so ddout can inplace ddx
    if (dX) {
      auto dout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dOut, "Output", "DOut", "LogGradGrad"));
      auto dx = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(dX, "Output", "DX", "LogGradGrad"));
      dx.device(*d) = dout * static_cast<T>(-1) * ddx / (x * x);
    }
    if (ddOut) {
      auto ddout = EigenVector<T>::Flatten(
          GET_DATA_SAFELY(ddOut, "Output", "DDOut", "LogGradGrad"));
      ddout.device(*d) = ddx * static_cast<T>(1) / x;
    }
  }

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

#if defined(__NVCC__) || defined(__HIPCC__) || defined(__xpu__)
template <typename T>
struct CudaReluFunctor : public BaseActivationFunctor<T> {
  T zero = static_cast<T>(0.0f);

  // relu(x) = max(x, 0)
  __device__ __forceinline__ T operator()(const T x) const {
    return x > zero ? x : zero;
  }
};

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

  // dx = dout * (out > 0)
  __device__ __forceinline__ T operator()(const T dout, const T out) const {
    return out > zero ? dout : zero;
  }

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

template <typename T>
struct CudaCosFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // cos(x) = cos(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(cos(x));
  }
};

template <typename T>
struct CudaCosGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // dx = dout * (-sin(x))
  __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);
    return static_cast<T>(-dout * sin(x));
  }

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

template <typename T>
struct CudaSinFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // sin(x) = sin(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(sin(x));
  }
};

template <typename T>
struct CudaSinGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // dx = dout * cos(x)
  __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);
    return static_cast<T>(dout * cos(x));
  }

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

template <typename T>
struct CudaTanFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // tan(x) = tan(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(tan(x));
  }
};

template <typename T>
struct CudaTanGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // dx = dout / cos(x)^2
  __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);
    return static_cast<T>(dout / (cos(x) * cos(x)));
  }

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

template <typename T>
struct CudaAsinFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // asin(x) = asin(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(asin(x));
  }
};

template <typename T>
struct CudaAsinGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);

  // dx = dout / sqrt(1 - x^2)
  __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);
    return static_cast<T>(dout / sqrt(one - x * x));
  }

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

template <typename T>
struct CudaAcosFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // acos(x) = acos(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(acos(x));
  }
};

template <typename T>
struct CudaAcosGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);

  // dx = -dout / sqrt(1 - x^2)
  __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);
    return static_cast<T>(-dout / sqrt(one - x * x));
  }

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

template <typename T>
struct CudaCoshFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // cosh(x) = cosh(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(cosh(x));
  }
};

template <typename T>
struct CudaCoshGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // dx = dout * sinh(x)
  __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);
    return static_cast<T>(dout * sinh(x));
  }

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

template <typename T>
struct CudaSinhFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // sinh(x) = sinh(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(sinh(x));
  }
};

template <typename T>
struct CudaSinhGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // dx = dout * cosh(x)
  __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);
    return static_cast<T>(dout * cosh(x));
  }

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

template <typename T>
struct CudaAcoshFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // Acosh(x) = acosh(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(acosh(x));
  }
};

template <typename T>
struct CudaAcoshGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);
  // dx = dout * 1 / sqrt(x^2 - 1)
  __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);
    return static_cast<T>(dout * one / sqrt(x * x - one));
  }

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

template <typename T>
struct CudaAsinhFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // Asinh(x) = asinh(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(asinh(x));
  }
};

template <typename T>
struct CudaAsinhGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);

  // dx = dout * 1/sqrt(x^2 + 1)
  __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);
    return static_cast<T>(dout * one / sqrt(x * x + one));
  }

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

template <typename T>
struct CudaAtanhFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // Atanh(x) = atanh(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(atanh(x));
  }
};

template <typename T>
struct CudaAtanhGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);
  // dx = dout * 1/(1- x^2)
  __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);
    return static_cast<T>(dout * one / (one - x * x));
  }

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

template <typename T>
struct CudaAtanFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // atan(x) = atan(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(atan(x));
  }
};

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

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

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

template <typename T>
struct CudaTanhFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // tanh(x) = tanh(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(tanh(x));
  }
};

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

  // dx = dout * (1 - out^2)
  __device__ __forceinline__ T operator()(const T dout, const T out) const {
    return dout * (one - out * out);
  }

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

template <typename T>
struct CudaBReluFunctor : public BaseActivationFunctor<T> {
  float t_min;
  float t_max;

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

  // brelu(x) = min(max(x, t_min), t_max)
  __device__ __forceinline__ T operator()(const T x) const {
    T t_min_cast = static_cast<T>(t_min);
    T t_max_cast = static_cast<T>(t_max);
    T temp_max = x > t_min_cast ? x : t_min_cast;
    T temp_min = temp_max < t_max_cast ? temp_max : t_max_cast;
    return temp_min;
  }
};

template <typename T>
struct CudaBReluGradFunctor : public BaseActivationFunctor<T> {
  T zero = static_cast<T>(0.0f);
  float t_min;
  float t_max;

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

  // dx = (x > t_min && x < t_max) ? dout : 0
  __device__ __forceinline__ T operator()(const T dout, const T x) const {
    T t_min_cast = static_cast<T>(t_min);
    T t_max_cast = static_cast<T>(t_max);
    return (x > t_min_cast && x < t_max_cast) ? dout : zero;
  }

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

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

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

  // thresholded_relu(x) = x > threshold ? x : 0
  __device__ __forceinline__ T operator()(const T x) const {
    return x > static_cast<T>(threshold) ? x : zero;
  }
};

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

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

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

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

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

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

  // leakyrelu(x) = x > 0 ? x : alpha * x
  __device__ __forceinline__ T operator()(const T x) const {
    return x > zero ? x : static_cast<T>(alpha) * x;
  }
};

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

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

  // dx = dout * (x > 0 ? 1 : alpha)
  __device__ __forceinline__ T operator()(const T dout, const T x) const {
    return x > zero ? dout : static_cast<T>(alpha) * dout;
  }

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

template <typename T>
struct CudaSoftShrinkFunctor : public BaseActivationFunctor<T> {
  float lambda;

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

  // softshrink(x) = x - lambda, if x > lambda;
  //                 x + lambda, if x < -lambda;
  //                 0, otherwise.
  __device__ __forceinline__ T operator()(const T x) const {
    T l = static_cast<T>(lambda);
    T temp1 = static_cast<T>(x > l);
    T temp2 = static_cast<T>(x < -l);
    return temp1 * (x - l) + temp2 * (x + l);
  }
};

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

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

  // dx = dout, if x > lambda or x < -lambda else 0
  __device__ __forceinline__ T operator()(const T dout, const T x) const {
    T l = static_cast<T>(lambda);
    return (x >= -l && x <= l) ? zero : dout;
  }

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

template <typename T>
struct CudaTanhShrinkFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // tanhshrink(x) = x - tanh(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(x - tanh(x));
  }
};

template <typename T>
struct CudaTanhShrinkGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // dx = dout * tanh(x)^2
  __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);
    return static_cast<T>(dout * tanh(x) * tanh(x));
  }

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

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

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

  // hadrshrink(x) = (x > -threshold && x < threshold) ? 0 : x
  __device__ __forceinline__ T operator()(const T x) const {
    T t = static_cast<T>(threshold);
    return (x > -t && x < t) ? zero : x;
  }
};

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

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

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

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

template <typename T>
struct CudaELUFunctor : public BaseActivationFunctor<T> {
  using CT = typename phi::dtype::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}};
  }

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

template <typename T>
struct CudaELUGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType zero = static_cast<MPType>(0.0f);
  float alpha;

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

  // case 1: alpha >= 0
  // dx = dout, if out > 0
  // dx = dout * (out + alpha), if out <= 0
  __device__ __forceinline__ T operator()(T arg_dout, T arg_out) const {
    MPType dout = static_cast<MPType>(arg_dout);
    MPType out = static_cast<MPType>(arg_out);
    MPType a = static_cast<MPType>(alpha);
    MPType out_pos = static_cast<MPType>(out > zero);
    MPType out_neg = static_cast<MPType>(out <= zero);
    return static_cast<T>(dout * (out_pos + out_neg * (out + a)));
  }

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

template <typename T>
struct CudaELUGradNegativeAlphaFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType zero = static_cast<MPType>(0.0f);
  float alpha;

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

  // case 2: alpha < 0
  // dx = dout, if x > 0
  // dx = dout * (out + alpha), if x <=0
  __device__ __forceinline__ T operator()(const T arg_dout,
                                          const T arg_out,
                                          const T arg_x) const {
    MPType dout = static_cast<MPType>(arg_dout);
    MPType out = static_cast<MPType>(arg_out);
    MPType x = static_cast<MPType>(arg_x);
    MPType a = static_cast<MPType>(alpha);
    MPType x_pos = static_cast<MPType>(x > zero);
    MPType x_neg = static_cast<MPType>(x <= zero);
    return static_cast<T>(dout * (x_pos + x_neg * (out + a)));
  }

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

template <typename T>
struct CudaSiluFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);

  // silu(x) = x / (1 + exp(-x))
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(x / (one + exp(-x)));
  }
};

template <typename T>
struct CudaSiluGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);

  // dx = dout * (1 + exp(-x) + x * exp(-x) / (1 + exp(-x))^2)
  __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 temp = one / (one + exp(-x));
    return static_cast<T>(dout * (temp * (one + x * (one - temp))));
  }

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

template <typename T>
struct CudaSigmoidFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);

  // sigmoid(x) = 1 / (1 + exp(-x))
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(one / (one + exp(-x)));
  }
};

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

  // dx = dout * out * (1 - out)
  __device__ __forceinline__ T operator()(const T dout, const T out) const {
    return dout * out * (one - out);
  }

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

template <typename T>
struct CudaLogSigmoidFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType zero = static_cast<MPType>(0.0f);

  // logsigmoid(x) = log(1 / (1 + exp(-x)))
  // For numerical stability,
  // logsigmoid(x) =
  //          - (max(-x, 0) + log(exp(-max(-x, 0)) + exp(-x - max(-x, 0))))
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    MPType temp = x > zero ? zero : -x;
    return static_cast<T>(-temp - log(exp(-temp) + exp(-x - temp)));
  }
};

template <typename T>
struct CudaLogSigmoidGradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType zero = static_cast<MPType>(0.0f);

  // dx = dout * exp(-x) / (1 + exp(-x))
  // For numerical stability:
  // dx = dout * exp(-x - max(-x, 0)) / (exp(-max(-x, 0)) + exp(-x - max(-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 temp1 = x > zero ? zero : -x;
    MPType temp2 = exp(-x - temp1);
    return static_cast<T>(dout * (temp2 / (exp(-temp1) + temp2)));
  }

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

template <typename T>
struct CudaHardSigmoidFunctor : public BaseActivationFunctor<T> {
  T zero = static_cast<T>(0.0f);
  T one = static_cast<T>(1.0f);
  float slope;
  float offset;

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

  // hard_sigmoid(x) = 0, when x <= -3
  //                   1, when x >= 3
  //                   x * slope + offset, otherwise
  __device__ __forceinline__ T operator()(const T x) const {
    T temp = x * static_cast<T>(slope) + static_cast<T>(offset);
    T temp_max = temp > zero ? temp : zero;
    T temp_min = temp_max < one ? temp_max : one;
    return temp_min;
  }
};

template <typename T>
struct CudaHardSigmoidGradFunctor : public BaseActivationFunctor<T> {
  T zero = static_cast<T>(0.0f);
  T one = static_cast<T>(1.0f);
  float slope;
  float offset;

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

  // dx = (out > 0 && out < 1) ? dout * slope : 0
  __device__ __forceinline__ T operator()(const T dout, const T out) const {
    return (out > zero && out < one) ? dout * static_cast<T>(slope) : zero;
  }

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

template <typename T>
struct CudaLogFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // log(x) = log(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(log(x));
  }
};

template <typename T>
struct CudaLogGradFunctor : public BaseActivationFunctor<T> {
  // dx = dout / x
  __device__ __forceinline__ T operator()(const T dout, const T x) const {
    return dout / x;
  }

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

template <typename T>
struct CudaLog1pFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  MPType one = static_cast<MPType>(1.0f);

  // log1p(x) = log(1 + x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(log(one + x));
  }
};

template <typename T>
struct CudaLog1pGradFunctor : public BaseActivationFunctor<T> {
  T one = static_cast<T>(1.0f);

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

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

template <typename T>
struct CudaLog2Functor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // log2(x) = log2(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(log2(x));
  }
};

template <typename T>
struct CudaLog2GradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  T log_two = static_cast<T>(log(static_cast<MPType>(2.0f)));

  // dx = dout / (x * log(2))
  __device__ __forceinline__ T operator()(const T dout, const T x) const {
    return dout / (x * log_two);
  }

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

template <typename T>
struct CudaLog10Functor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;

  // log10(x) = log10(x)
  __device__ __forceinline__ T operator()(const T arg_x) const {
    MPType x = static_cast<MPType>(arg_x);
    return static_cast<T>(log10(x));
  }
};

template <typename T>
struct CudaLog10GradFunctor : public BaseActivationFunctor<T> {
  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
  T log_ten = static_cast<T>(log(static_cast<MPType>(10.0f)));

  // dx = dout / (x * log(10))
  __device__ __forceinline__ T operator()(const T dout, const T x) const {
    return dout / (x * log_ten);
  }

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

#endif

}  // namespace funcs
}  // namespace phi