diff options
Diffstat (limited to 'compiler/oneco/src/Convert.cpp')
-rw-r--r-- | compiler/oneco/src/Convert.cpp | 113 |
1 files changed, 113 insertions, 0 deletions
diff --git a/compiler/oneco/src/Convert.cpp b/compiler/oneco/src/Convert.cpp new file mode 100644 index 000000000..b56b03ef7 --- /dev/null +++ b/compiler/oneco/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 |