1 files changed, 65 insertions, 0 deletions
diff --git a/compiler/mir-interpreter/src/ops/Common.h b/compiler/mir-interpreter/src/ops/Common.h
new file mode 100644
index 000000000..43336216e
--- /dev/null
+++ b/compiler/mir-interpreter/src/ops/Common.h
@@ -0,0 +1,65 @@
+/*
+ * Copyright (c) 2020 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 _NNC_CORE_BACKEND_INTERPRETER_COMMON_
+#define _NNC_CORE_BACKEND_INTERPRETER_COMMON_
+
+#include "mir/Tensor.h"
+#include "mir/TensorVariant.h"
+#include "mir/DataType.h"
+#include "mir/Shape.h"
+#include "mir/Index.h"
+
+namespace mir_interpreter
+{
+
+template <template <typename> class F, typename... Args>
+void dispatch(mir::DataType dt, Args &&... args)
+{
+  switch (dt)
+  {
+    case mir::DataType::FLOAT32:
+      return F<float>::run(std::forward<Args>(args)...);
+    case mir::DataType::FLOAT64:
+      return F<double>::run(std::forward<Args>(args)...);
+    case mir::DataType::INT32:
+      return F<int32_t>::run(std::forward<Args>(args)...);
+    case mir::DataType::INT64:
+      return F<int64_t>::run(std::forward<Args>(args)...);
+    case mir::DataType::UINT8:
+      return F<uint8_t>::run(std::forward<Args>(args)...);
+    case mir::DataType::UNKNOWN:
+      throw std::runtime_error{"Unknown datatype met during operation execution"};
+    default:
+      throw std::runtime_error{"mir::DataType enum mismatch"};
+  }
+}
+
+template <typename T> void erase(mir::TensorVariant &tv)
+{
+  size_t element_count = tv.getShape().numElements();
+  for (size_t i = 0; i < element_count; ++i)
+  {
+    auto ptr = tv.atOffset(i);
+    *reinterpret_cast<T *>(ptr) = 0;
+  }
+}
+
+mir::Index shift(const mir::Index &in_index, const mir::Shape &shift_from);
+
+} // namespace mir_interpreter
+
+#endif // _NNC_CORE_BACKEND_INTERPRETER_COMMON_