1 files changed, 87 insertions, 0 deletions
diff --git a/compiler/nnop/include/nnop/Conv2D.h b/compiler/nnop/include/nnop/Conv2D.h
new file mode 100644
index 000000000..a39caa3d8
--- /dev/null
+++ b/compiler/nnop/include/nnop/Conv2D.h
@@ -0,0 +1,87 @@
+/*
+ * Copyright (c) 2018 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 __NNOP_CONV2D_H__
+#define __NNOP_CONV2D_H__
+
+#include "nnop/PadInfo.h"
+#include "nnop/StrideInfo.h"
+
+#include <nncc/core/ADT/feature/Shape.h>
+#include <nncc/core/ADT/feature/Reader.h>
+#include <nncc/core/ADT/feature/Accessor.h>
+
+#include <nncc/core/ADT/kernel/Shape.h>
+#include <nncc/core/ADT/kernel/Reader.h>
+
+namespace nnop
+{
+
+template <typename OutputDType, typename InputDType, typename KernelDType>
+void conv(const nncc::core::ADT::feature::Shape &out_shape,
+          nncc::core::ADT::feature::Accessor<OutputDType> &out_data,
+          const nncc::core::ADT::feature::Shape &in_shape,
+          const nncc::core::ADT::feature::Reader<InputDType> &in_data,
+          const nncc::core::ADT::kernel::Shape &ker_shape,
+          const nncc::core::ADT::kernel::Reader<KernelDType> &ker_data, const PadInfo &pad_info,
+          const StrideInfo &stride_info)
+{
+  for (uint32_t out_ch = 0; out_ch < out_shape.depth(); ++out_ch)
+  {
+    for (uint32_t out_row = 0; out_row < out_shape.height(); ++out_row)
+    {
+      for (uint32_t out_col = 0; out_col < out_shape.width(); ++out_col)
+      {
+        OutputDType out_value = 0;
+
+        for (uint32_t ker_ch = 0; ker_ch < ker_shape.depth(); ++ker_ch)
+        {
+          for (uint32_t ker_row = 0; ker_row < ker_shape.height(); ++ker_row)
+          {
+            for (uint32_t ker_col = 0; ker_col < ker_shape.width(); ++ker_col)
+            {
+              const int64_t vertical_stride = static_cast<int64_t>(stride_info.vertical());
+              const int64_t horizontal_stride = static_cast<int64_t>(stride_info.horizontal());
+              const int64_t top_padding = static_cast<int64_t>(pad_info.top());
+              const int64_t left_padding = static_cast<int64_t>(pad_info.left());
+
+              const uint32_t in_ch = ker_ch;
+              const int64_t in_row = vertical_stride * out_row - top_padding + ker_row;
+              const int64_t in_col = horizontal_stride * out_col - left_padding + ker_col;
+
+              const bool is_padding = (in_row < 0) || (in_row >= in_shape.height()) ||
+                                      (in_col < 0) || (in_col >= in_shape.width());
+
+              const auto in_value = (is_padding) ? 0
+                                                 : in_data.at(in_ch, static_cast<uint32_t>(in_row),
+                                                              static_cast<uint32_t>(in_col));
+
+              const auto ker_value = ker_data.at(out_ch, in_ch, ker_row, ker_col);
+
+              out_value += in_value * ker_value;
+            }
+          }
+        }
+
+        out_data.at(out_ch, out_row, out_col) = out_value;
+      }
+    }
+  }
+}
+
+} // namespace nnop
+
+#endif // __NNOP_CONV2D_H__