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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. 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.
*/
#ifndef __NNFW_SRCN_CONV_H__
#define __NNFW_SRCN_CONV_H__
#include "conv_type.h"
namespace nnfw
{
namespace srcn
{
int check_winograd(winogradParams_t ¶ms);
float *trans_weight2winograd(winogradParams_t ¶ms, unsigned int *size = NULL);
void winograd_release(float *winograd_weight);
void srcn_convolution2D(const convMat_t &in_mat, const convMat_t &weights_mat, convMat_t &out_mat,
const convParams_t &in_param, const float *winograd_weight, int num_threads,
convType_t conv_type);
void srcn_deconvolution2D(const convMat_t &in_mat, const convMat_t &weights_mat, convMat_t &out_mat,
const convParams_t &in_param, int num_threads, convType_t conv_type);
void *trans_weight2sparse(const convMat_t &weights_mat);
void sparse_release(const int outch, void *ptr);
void srcn_sparse_convolution2D(const convMat_t &in_mat, convMat_t &out_mat,
const convParams_t &in_param, const void *sparse_weight,
int number_threas, convType_t conv_type);
void srcn_batch_convolution2D(const convMat_t &in_mat, const convMat_t &weights_mat,
convMat_t &out_mat, const convParams_t &in_param,
const float *winograd_weight, int num_threads, convType_t conv_type);
void srcn_convolution2D_gpu(const convMat_t &in_mat, const convMat_t &weights_mat,
convMat_t &out_mat, const convParams_t &in_param, convType_t conv_type);
void srcn_convolution2D_dpu(const convMat_t &in_mat, const convMat_t &weights_mat,
convMat_t &out_mat, const convParams_t &in_param, convType_t conv_type);
void srcn_depthwise_conv(const convMat_t &in_mat, const convMat_t &weights_mat, convMat_t &out_mat,
const convMat_t &bias, const convParams_t &in_param, int num_threads,
convType_t conv_type);
} // namespace srcn
} // namespace nnfw
#endif // __NNFW_SRCN_CONV_H__
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