conv_kernel.h

// 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 "paddle/phi/core/dense_tensor.h"

namespace phi {

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& paddding_algorithm,
                int groups,
                const std::vector<int>& dilations,
                const std::string& data_format,
                bool use_addto,
                int workspace_size_MB,
                bool exhaustive_search,
                DenseTensor* 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,
                  bool use_addto,
                  int workspace_size_MB,
                  bool exhaustive_search,
                  DenseTensor* out);

template <typename T, typename Context>
void DepthwiseConvKernel(const Context& dev_ctx,
                         const DenseTensor& input,
                         const DenseTensor& filter,
                         const std::vector<int>& strides,
                         const std::vector<int>& paddings,
                         const std::string& paddding_algorithm,
                         int groups,
                         const std::vector<int>& dilations,
                         const std::string& data_format,
                         bool use_addto,
                         int workspace_size_MB,
                         bool exhaustive_search,
                         bool fuse_relu,
                         DenseTensor* out);

}  // namespace phi