// 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.

#include "paddle/phi/kernels/conv_kernel.h"
#include "paddle/common/flags.h"
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/impl/conv_kernel_impl.h"
#include "paddle/phi/kernels/impl/slow_conv_kernel_impl.cuh"

COMMON_DECLARE_bool(use_accuracy_compatible_kernel);

namespace phi {

template <typename T, typename Context>
void SlowConvDilatedKernel(const Context& dev_ctx,
                           const DenseTensor& input,
                           const DenseTensor& filter,
                           const paddle::optional<DenseTensor>& bias,
                           const std::vector<int>& strides,
                           const std::vector<int>& paddings,
                           const std::string& padding_algorithm,
                           const std::vector<int>& dilations,
                           int groups,
                           const std::string& data_format,
                           DenseTensor* out) {
  SlowConvForward<T, Context, 2>(dev_ctx,
                                 input,
                                 filter,
                                 bias,
                                 strides,
                                 paddings,
                                 padding_algorithm,
                                 groups,
                                 dilations,
                                 data_format,
                                 out);
}

template <typename T, typename Context>
void SlowConv3DDilatedKernel(const Context& dev_ctx,
                             const DenseTensor& input,
                             const DenseTensor& filter,
                             const paddle::optional<DenseTensor>& bias,
                             const std::vector<int>& strides,
                             const std::vector<int>& paddings,
                             const std::string& padding_algorithm,
                             int groups,
                             const std::vector<int>& dilations,
                             const std::string& data_format,
                             DenseTensor* out) {
  SlowConvForward<T, Context, 3>(dev_ctx,
                                 input,
                                 filter,
                                 bias,
                                 strides,
                                 paddings,
                                 padding_algorithm,
                                 groups,
                                 dilations,
                                 data_format,
                                 out);
}

template <typename T, typename Context>
void ConvKernel(const Context& dev_ctx,
                const DenseTensor& input,
                const DenseTensor& filter,
                const std::vector<int>& strides,
                const std::vector<int>& paddings,
                const std::string& padding_algorithm,
                const std::vector<int>& dilations,
                int groups,
                const std::string& data_format,
                DenseTensor* out) {
  ConvKernelImpl<T>(dev_ctx,
                    input,
                    filter,
                    strides,
                    paddings,
                    padding_algorithm,
                    groups,
                    dilations,
                    data_format,
                    out);
}

template <typename T, typename Context>
void Conv3DKernel(const Context& dev_ctx,
                  const DenseTensor& input,
                  const DenseTensor& filter,
                  const std::vector<int>& strides,
                  const std::vector<int>& paddings,
                  const std::string& padding_algorithm,
                  int groups,
                  const std::vector<int>& dilations,
                  const std::string& data_format,
                  DenseTensor* out) {
  ConvKernelImpl<T>(dev_ctx,
                    input,
                    filter,
                    strides,
                    paddings,
                    padding_algorithm,
                    groups,
                    dilations,
                    data_format,
                    out);
}

}  // namespace phi

PD_REGISTER_KERNEL(conv2d,
                   GPU,
                   ALL_LAYOUT,
                   phi::ConvKernel,
                   float,
                   double,
                   phi::float16,
                   phi::bfloat16) {}

PD_REGISTER_KERNEL(conv3d,
                   GPU,
                   ALL_LAYOUT,
                   phi::Conv3DKernel,
                   float,
                   double,
                   phi::float16,
                   phi::bfloat16) {}

PD_REGISTER_KERNEL(slow_conv2d_dilated,
                   GPU,
                   ALL_LAYOUT,
                   phi::SlowConvDilatedKernel,
                   float,
                   double,
                   phi::float16,
                   phi::bfloat16) {}

PD_REGISTER_KERNEL(slow_conv3d_dilated,
                   GPU,
                   ALL_LAYOUT,
                   phi::SlowConv3DDilatedKernel,
                   float,
                   double,
                   phi::float16,
                   phi::bfloat16) {}