1 files changed, 57 insertions, 0 deletions
diff --git a/compiler/enco/frontend/tflite/src/Convert.cpp b/compiler/enco/frontend/tflite/src/Convert.cpp
new file mode 100644
index 000000000..ffae95d01
--- /dev/null
+++ b/compiler/enco/frontend/tflite/src/Convert.cpp
@@ -0,0 +1,57 @@
+/*
+ * 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.
+ */
+
+#include "Convert.h"
+
+#include <nncc/core/ADT/tensor/Shape.h>
+
+#include <schema_generated.h>
+
+using namespace nncc::core::ADT;
+
+namespace tflimport
+{
+
+IndexVector as_index_vector(const flatbuffers::Vector<int32_t> *array)
+{
+  const uint32_t size = array->size();
+
+  std::vector<int32_t> res(size);
+
+  for (uint32_t i = 0; i < size; i++)
+  {
+    res[i] = array->Get(i);
+  }
+
+  return res;
+}
+
+tensor::Shape as_tensor_shape(const flatbuffers::Vector<int32_t> *shape)
+{
+  const uint32_t rank = shape->size();
+
+  tensor::Shape res;
+
+  res.resize(rank);
+  for (uint32_t axis = 0; axis < rank; ++axis)
+  {
+    res.dim(axis) = shape->Get(axis);
+  }
+
+  return res;
+}
+
+} // namespace tflimport