[moco/ONNX] Introduce convert tool for ONNX moco frontend (#3563)

* [moco/ONNX] Introduce convert tool for ONNX moco frontend

This commit will introduce convert too for ONNX moco frontend

Signed-off-by: Seok NamKoong <sk.namkoong@samsung.com>
* remove tensor_dtype in runtime_error

diff --git a/contrib/moco/lib/frontend/onnx/src/Convert.cpp b/contrib/moco/lib/frontend/onnx/src/Convert.cpp
new file mode 100644 (file)
index 0000000..82824ba
--- /dev/null
+++ b/contrib/moco/lib/frontend/onnx/src/Convert.cpp
@@ -0,0 +1,113 @@
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2017 The TensorFlow Authors. 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 <cassert>
+#include <stdexcept>
+
+namespace moco
+{
+namespace onnx
+{
+
+loco::DataType as_loco_datatype(const int32_t tensor_dtype)
+{
+  switch (tensor_dtype)
+  {
+  case 0: // UNDEFINED
+    return loco::DataType::Unknown;
+  case 1: // FLOAT
+    return loco::DataType::FLOAT32;
+  case 2: // UINT8
+    return loco::DataType::U8;
+  case 3: // INT8
+    return loco::DataType::S8;
+  case 4: // UINT16
+    return loco::DataType::U16;
+  case 5: // INT16
+    return loco::DataType::S16;
+  case 6: // INT32
+    return loco::DataType::S32;
+  case 7: // INT64
+    return loco::DataType::S64;
+  case 10: // FLOAT16
+    return loco::DataType::FLOAT16;
+  case 11: // DOUBLE
+    return loco::DataType::FLOAT64;
+  case 12: // UINT32
+    return loco::DataType::U32;
+  case 13: // UINT64
+    return loco::DataType::U64;
+
+  case 8:  // STRING
+  case 9:  // BOOL
+  case 14: // COMPLEX64
+  case 15: // COMPLEX128
+  case 16: // BFLOAT16
+  default:
+    break;
+  }
+  throw std::runtime_error{"Unsupported onnx dtype"};
+}
+
+std::string tensor_dtype_as_string(const int32_t tensor_dtype)
+{
+  switch (tensor_dtype)
+  {
+  case 0: // UNDEFINED
+    return "UNDEFINED";
+  case 1: // FLOAT
+    return "FLOAT";
+  case 2: // UINT8
+    return "UINT8";
+  case 3: // INT8
+    return "INT8";
+  case 4: // UINT16
+    return "UINT16";
+  case 5: // INT16
+    return "INT16";
+  case 6: // INT32
+    return "INT32";
+  case 7: // INT64
+    return "INT64";
+  case 8: // STRING
+    return "STRING";
+  case 9: // BOOL
+    return "BOOL";
+  case 10: // FLOAT16
+    return "FLOAT16";
+  case 11: // DOUBLE
+    return "DOUBLE";
+  case 12: // UINT32
+    return "UINT32";
+  case 13: // UINT64
+    return "UINT64";
+  case 14: // COMPLEX64
+    return "COMPLEX64";
+  case 15: // COMPLEX128
+    return "COMPLEX128";
+  case 16: // BFLOAT16
+    return "BFLOAT16";
+  default:
+    break;
+  }
+  throw std::runtime_error{"Unsupported onnx dtype"};
+}
+
+} // namespace onnx
+} // namespace moco

diff --git a/contrib/moco/lib/frontend/onnx/src/Convert.h b/contrib/moco/lib/frontend/onnx/src/Convert.h
new file mode 100644 (file)
index 0000000..0935afe
--- /dev/null
+++ b/contrib/moco/lib/frontend/onnx/src/Convert.h
@@ -0,0 +1,38 @@
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2017 The TensorFlow Authors. 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 __MOCO_FRONTEND_ONNX_CONVERT_H__
+#define __MOCO_FRONTEND_ONNX_CONVERT_H__
+
+#include <loco.h>
+
+#include <onnx/onnx.pb.h>
+
+#include <string>
+
+namespace moco
+{
+namespace onnx
+{
+
+loco::DataType as_loco_datatype(const int32_t dtype);
+std::string tensor_dtype_as_string(const int32_t tensor_dtype);
+
+} // namespace onnx
+} // namespace moco
+
+#endif // __MOCO_FRONTEND_ONNX_CONVERT_H__