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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_SPARSE_H__
#define __NNFW_SRCN_CONV_SPARSE_H__
#include "ncnn/srcn/conv_type.h"
#include "common.h"
namespace nnfw
{
namespace srcn
{
#define BCH 128
typedef struct
{
short m;
short k;
float data;
} weight_data_t;
typedef struct
{
int mxk;
weight_data_t *wdata;
} sparse_weight_t;
class conv_sparse
{
public:
conv_sparse(const convMat_t &in_mat, convMat_t &out_mat, const convParams_t &in_param,
const sparse_weight_t *weights, int num_threads, convType_t conv_type);
~conv_sparse();
void run();
private:
void param_init();
void compute_singlethread();
void compute_multithreads();
const convMat_t in_mat_;
convMat_t out_mat_;
const convParams_t in_param_;
const sparse_weight_t *weights_;
int num_threads_;
convType_t conv_type_;
uint32_t n_;
uint32_t bn_;
int rn_;
int nn_;
int bch_;
int rch_;
int nch_;
int need_im2col_;
};
} // namespace srcn
} // namespace nnfw
#endif // __NNFW_SRCN_CONV_SPARSE_H__
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