1 files changed, 55 insertions, 0 deletions
diff --git a/compiler/tflchef/tflite/src/Convert.h b/compiler/tflchef/tflite/src/Convert.h
new file mode 100644
index 000000000..8623e7b78
--- /dev/null
+++ b/compiler/tflchef/tflite/src/Convert.h
@@ -0,0 +1,55 @@
+/*
+ * 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 __CONVERT_H__
+#define __CONVERT_H__
+
+#include <mio/tflite/schema_generated.h>
+
+#include <tflchef.pb.h>
+
+namespace tflchef
+{
+
+tflchef::TensorType as_tflchef_type(const tflite::TensorType type);
+tflchef::Activation as_tflchef_activation(const tflite::ActivationFunctionType type);
+tflchef::Padding as_tflchef_padding(const tflite::Padding padding);
+
+/**
+ * @brief extract buffer data to std::vector<DT>
+ */
+template <typename DT> std::vector<DT> extract_buffer(const tflite::Buffer *buffer)
+{
+  auto buffer_length = buffer->data()->size();
+  auto num_elements = buffer_length / sizeof(DT);
+  std::vector<DT> result(num_elements);
+  std::memcpy(result.data(), buffer->data()->data(), buffer_length);
+  return result;
+}
+
+template <typename T> std::vector<T> as_index_vector(const flatbuffers::Vector<T> *flat_array)
+{
+  std::vector<T> ret(flat_array->Length());
+  for (uint32_t i = 0; i < flat_array->Length(); i++)
+  {
+    ret[i] = flat_array->Get(i);
+  }
+  return ret;
+}
+
+} // namespace tflchef
+
+#endif // __CONVERT_H__