/* 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/platform/float16.h"

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::ActivationKernel<plat::CUDADeviceContext, ops::functor<float>>,  \
      ops::ActivationKernel<plat::CUDADeviceContext, ops::functor<double>>, \
      ops::ActivationKernel<plat::CUDADeviceContext,                        \
                            ops::functor<plat::float16>>);                  \
  REGISTER_OP_CUDA_KERNEL(                                                  \
      act_type##_grad, ops::ActivationGradKernel<plat::CUDADeviceContext,   \
                                                 ops::grad_functor<float>>, \
      ops::ActivationGradKernel<plat::CUDADeviceContext,                    \
                                ops::grad_functor<double>>,                 \
      ops::ActivationGradKernel<plat::CUDADeviceContext,                    \
                                ops::grad_functor<plat::float16>>);

FOR_EACH_ACTIVATION_OP(REGISTER_ACTIVATION_CUDA_KERNEL);

/* ======================== leaky relu register  ============================ */
REGISTER_ACTIVATION_CUDA_KERNEL(leaky_relu, LeakyRelu, LeakyReluFunctor,
                                LeakyReluGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    leaky_relu_grad_grad,
    ops::ActivationDoubleGradKernel<plat::CUDADeviceContext,
                                    ops::LeakyReluGradGradFunctor<float>>,
    ops::ActivationDoubleGradKernel<plat::CUDADeviceContext,
                                    ops::LeakyReluGradGradFunctor<double>>,
    ops::ActivationDoubleGradKernel<
        plat::CUDADeviceContext, ops::LeakyReluGradGradFunctor<plat::float16>>);
/* ========================================================================== */

/* ======================== elu register  ============================ */
REGISTER_ACTIVATION_CUDA_KERNEL(elu, ELU, ELUFunctor, ELUGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    elu_grad_grad, ops::ELUDoubleGradKernel<plat::CUDADeviceContext,
                                            ops::ELUGradGradFunctor<float>>,
    ops::ELUDoubleGradKernel<plat::CUDADeviceContext,
                             ops::ELUGradGradFunctor<double>>,
    ops::ELUDoubleGradKernel<plat::CUDADeviceContext,
                             ops::ELUGradGradFunctor<plat::float16>>);
/* ========================================================================== */

/* ===========================    relu register  ============================ */
REGISTER_ACTIVATION_CUDA_KERNEL(relu, Relu, ReluCUDAFunctor, ReluGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    relu_grad_grad,
    ops::ActivationDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                    ops::ReluGradGradFunctor<float>>,
    ops::ActivationDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                    ops::ReluGradGradFunctor<double>>,
    ops::ActivationDoubleGradKernel<plat::CUDADeviceContext,
                                    ops::ReluGradGradFunctor<plat::float16>>);
/* ========================================================================== */

/* ===========================   sqrt register  ============================= */
REGISTER_ACTIVATION_CUDA_KERNEL(sqrt, Sqrt, SqrtFunctor, SqrtGradFunctor);

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

/* ===========================   rsqrt register  =============================
 */
REGISTER_ACTIVATION_CUDA_KERNEL(rsqrt, Rsqrt, RsqrtFunctor, RsqrtGradFunctor);

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

/* ===========================  square register  ============================ */
REGISTER_OP_CUDA_KERNEL(
    square,
    ops::ActivationKernel<plat::CUDADeviceContext, ops::SquareFunctor<float>>,
    ops::ActivationKernel<plat::CUDADeviceContext, ops::SquareFunctor<double>>,
    ops::ActivationKernel<plat::CUDADeviceContext, ops::SquareFunctor<int>>,
    ops::ActivationKernel<plat::CUDADeviceContext, ops::SquareFunctor<int64_t>>,
    ops::ActivationKernel<plat::CUDADeviceContext,
                          ops::SquareFunctor<plat::float16>>);
REGISTER_OP_CUDA_KERNEL(
    square_grad, ops::ActivationGradKernel<plat::CUDADeviceContext,
                                           ops::SquareGradFunctor<float>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::SquareGradFunctor<double>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::SquareGradFunctor<int>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::SquareGradFunctor<int64_t>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::SquareGradFunctor<plat::float16>>);

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

/* ==========================   pow register  ============================ */

REGISTER_OP_CUDA_KERNEL(
    pow, ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<float>>,
    ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<double>>,
    ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<int>>,
    ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<int64_t>>,
    ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<plat::float16>>);
REGISTER_OP_CUDA_KERNEL(
    pow_grad,
    ops::PowGradKernel<plat::CUDADeviceContext, ops::PowGradFunctor<float>>,
    ops::PowGradKernel<plat::CUDADeviceContext, ops::PowGradFunctor<double>>,
    ops::PowGradKernel<plat::CUDADeviceContext, ops::PowGradFunctor<int>>,
    ops::PowGradKernel<plat::CUDADeviceContext, ops::PowGradFunctor<int64_t>>,
    ops::PowGradKernel<plat::CUDADeviceContext,
                       ops::PowGradFunctor<plat::float16>>);
/* ========================================================================== */

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

REGISTER_OP_CUDA_KERNEL(
    exp, ops::ActivationKernel<plat::CUDADeviceContext, ops::ExpFunctor<float>>,
    ops::ActivationKernel<plat::CUDADeviceContext, ops::ExpFunctor<double>>,
    ops::ActivationKernel<plat::CUDADeviceContext, ops::ExpFunctor<int>>,
    ops::ActivationKernel<plat::CUDADeviceContext, ops::ExpFunctor<int64_t>>,
    ops::ActivationKernel<plat::CUDADeviceContext,
                          ops::ExpFunctor<plat::float16>>);
REGISTER_OP_CUDA_KERNEL(
    exp_grad, ops::ActivationGradKernel<plat::CUDADeviceContext,
                                        ops::ExpGradFunctor<float>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::ExpGradFunctor<double>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::ExpGradFunctor<int>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::ExpGradFunctor<int64_t>>,
    ops::ActivationGradKernel<plat::CUDADeviceContext,
                              ops::ExpGradFunctor<plat::float16>>);
/* ========================================================================== */

/* ==========================  Log register ==================================*/
REGISTER_ACTIVATION_CUDA_KERNEL(log, Log, LogFunctor, LogGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    log_grad_grad, ops::LogDoubleGradKernel<plat::CUDADeviceContext,
                                            ops::LogGradGradFunctor<float>>,
    ops::LogDoubleGradKernel<plat::CUDADeviceContext,
                             ops::LogGradGradFunctor<double>>,
    ops::LogDoubleGradKernel<plat::CUDADeviceContext,
                             ops::LogGradGradFunctor<plat::float16>>);
/* ========================================================================== */
