2 files changed, 139 insertions, 0 deletions
diff --git a/runtimes/libs/srcn/include/srcn/conv_type.h b/runtimes/libs/srcn/include/srcn/conv_type.h
new file mode 100644
index 000000000..59152a094
--- /dev/null
+++ b/runtimes/libs/srcn/include/srcn/conv_type.h
@@ -0,0 +1,74 @@
+/*
+ * 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_TYPE_H__
+#define __NNFW_SRCN_CONV_TYPE_H__
+
+namespace nnfw
+{
+namespace srcn
+{
+
+enum convType_t
+{
+  row_major = 0,
+  col_major
+};
+
+struct convMat_t
+{
+  int w;
+  int h;
+  int c;
+  int n;
+  float *data;
+};
+
+struct convParams_t
+{
+  int kernel_w;
+  int kernel_h;
+  int stride_w;
+  int stride_h;
+  int dilation_w;
+  int dilation_h;
+  int padding;
+  int pad_w;
+  int pad_h;
+};
+
+struct winogradParams_t
+{
+  int kernel_w;
+  int kernel_h;
+  int stride_w;
+  int stride_h;
+  int dilation_w;
+  int dilation_h;
+  int batch;
+  int w;
+  int h;
+  int inch;
+  int outch;
+  int num_threads;
+  convType_t conv_type;
+  float *weight_data;
+};
+
+} // namespace srcn
+} // namespace nnfw
+
+#endif // __NNFW_SRCN_CONV_TYPE_H__
diff --git a/runtimes/libs/srcn/include/srcn/srcn_conv.h b/runtimes/libs/srcn/include/srcn/srcn_conv.h
new file mode 100644
index 000000000..11130c0db
--- /dev/null
+++ b/runtimes/libs/srcn/include/srcn/srcn_conv.h
@@ -0,0 +1,65 @@
+/*
+ * 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__