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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_WINOGRAD_BATCH_H__
#define __NNFW_SRCN_CONV_WINOGRAD_BATCH_H__
#include "srcn/conv_type.h"
#include "winograd.h"
#include "sgemm_singlethread.h"
namespace nnfw
{
namespace srcn
{
class conv_winograd_batch
{
public:
conv_winograd_batch(const convMat_t &in_mat, convMat_t &out_mat, const convParams_t &in_param,
convType_t conv_type, const float *winograd_weight, int num_threads);
~conv_winograd_batch();
void run();
private:
void param_init();
void compute_sgemm(sgemmType_t major_type, sgemmTrans_t ltrans, sgemmTrans_t rtrans, const int m,
const int n, const int k, const float *lhs_data, const float *rhs_data,
float *res_data);
void winograd_input_im2col(float *col_buff);
void winograd_output_col2im(const float *col_buff);
void compute_winograd();
const convMat_t in_mat_;
convMat_t out_mat_;
const convParams_t in_param_;
convType_t conv_type_;
const float *winograd_weight_;
const int num_threads_;
int tile_w_in_;
int tile_h_in_;
int tile_w_out_;
int tile_h_out_;
int ntiles_w_;
int ntiles_h_;
int error_;
};
} // namespace srcn
} // namespace nnfw
#endif // __NNFW_SRCN_CONV_WINOGRAD_BATCH_H__
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