1 files changed, 0 insertions, 65 deletions
diff --git a/compute/ncnn/include/ncnn/srcn/srcn_conv.h b/compute/ncnn/include/ncnn/srcn/srcn_conv.h
deleted file mode 100644
index 11130c0db..000000000
--- a/compute/ncnn/include/ncnn/srcn/srcn_conv.h
+++ /dev/null
@@ -1,65 +0,0 @@
-/*
- * 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 &params);
-
-float *trans_weight2winograd(winogradParams_t &params, 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__