onnx_alias.h#

Defines backwards-compatible type aliases for ONNX protobuf enumerations.

The original protobuf-generated C++ code exposed flat names such as TensorProto_DataType. The onnx-light implementation uses scoped enumerations (e.g. TensorProto::DataType). The aliases defined here restore the flat names so that code written against the original protobuf headers continues to compile without modification.

Defines

TensorProto_DataType_Name#

ONNX_LIGHT_VERSION_ENUM_DEFINED

namespace onnx_light

Alias that makes onnx-light headers compatible with code that references ONNX_LIGHT_NAMESPACE (the macro used in the standard onnx package).

Set to ONNX_LIGHT_NAMESPACE so both names resolve to the same namespace.

Symbol-visibility attribute for the public onnx-light C++ API.

Defined as empty because onnx-light does not require explicit __declspec(dllexport) or __attribute__((visibility("default"))) annotations — visibility is controlled at the shared-library level. The macro is provided so that vendored ONNX headers that decorate their declarations with ONNX_API compile without modification.

Namespace alias so that ONNX C++ code (and consumers such as onnxruntime) that refers to the literal onnx namespace — rather than the ONNX_NAMESPACE macro — resolves to the onnx-light namespace. The standard onnx package lives in namespace onnx; onnx-light uses onnx_light (via ONNX_LIGHT_NAMESPACE), so this alias keeps onnx-light a true drop-in. It is only introduced when the onnx-light namespace differs from onnx.

Typedefs

using TensorProto_DataType = TensorProto::DataType #

Aliases TensorProto::DataType under the flat protobuf-style name.

Use TensorProto_DataType wherever the original protobuf-generated API expects the flat enumeration name. Fully-qualified values such as TensorProto_DataType::TensorProto_DataType_FLOAT are available through the TensorProto_DataType_* macros defined in onnx.h.

using TensorProto_DataLocation = TensorProto::DataLocation #

using TensorShapeProto_Dimension = TensorShapeProto::Dimension #

using AttributeProto_AttributeType = AttributeProto::AttributeType #

using TypeProto_Map = TypeProto::Map #

using TypeProto_Opaque = TypeProto::Opaque #

using TypeProto_Optional = TypeProto::Optional #

using TypeProto_Sequence = TypeProto::Sequence #

using TypeProto_SparseTensor = TypeProto::SparseTensor #

using TypeProto_Tensor = TypeProto::Tensor #

Enums

enum Version

Values:

enumerator START_VERSION

enumerator IR_VERSION_2017_10_10

enumerator IR_VERSION_2017_10_30

enumerator IR_VERSION_2017_11_3

enumerator IR_VERSION_2019_1_22

enumerator IR_VERSION_2019_3_18

enumerator IR_VERSION_2019_9_19

enumerator IR_VERSION_2020_5_8

enumerator IR_VERSION_2021_7_30

enumerator IR_VERSION_2023_5_5

enumerator IR_VERSION_2024_3_25

enumerator IR_VERSION_2025_05_12

enumerator IR_VERSION_2025_08_26

enumerator IR_VERSION

enumerator START_VERSION

enumerator IR_VERSION_2017_10_10

enumerator IR_VERSION_2017_10_30

enumerator IR_VERSION_2017_11_3

enumerator IR_VERSION_2019_1_22

enumerator IR_VERSION_2019_3_18

enumerator IR_VERSION_2019_9_19

enumerator IR_VERSION_2020_5_8

enumerator IR_VERSION_2021_7_30

enumerator IR_VERSION_2023_5_5

enumerator IR_VERSION_2024_3_25

enumerator IR_VERSION_2025_05_12

enumerator IR_VERSION_2025_08_26

enumerator IR_VERSION

Variables

constexpr TensorProto::DataType TensorProto_DataType_UNDEFINED = TensorProto::UNDEFINED #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT = TensorProto::FLOAT #

constexpr TensorProto::DataType TensorProto_DataType_UINT8 = TensorProto::UINT8 #

constexpr TensorProto::DataType TensorProto_DataType_INT8 = TensorProto::INT8 #

constexpr TensorProto::DataType TensorProto_DataType_UINT16 = TensorProto::UINT16 #

constexpr TensorProto::DataType TensorProto_DataType_INT16 = TensorProto::INT16 #

constexpr TensorProto::DataType TensorProto_DataType_INT32 = TensorProto::INT32 #

constexpr TensorProto::DataType TensorProto_DataType_INT64 = TensorProto::INT64 #

constexpr TensorProto::DataType TensorProto_DataType_STRING = TensorProto::STRING #

constexpr TensorProto::DataType TensorProto_DataType_BOOL = TensorProto::BOOL #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT16 = TensorProto::FLOAT16 #

constexpr TensorProto::DataType TensorProto_DataType_DOUBLE = TensorProto::DOUBLE #

constexpr TensorProto::DataType TensorProto_DataType_UINT32 = TensorProto::UINT32 #

constexpr TensorProto::DataType TensorProto_DataType_UINT64 = TensorProto::UINT64 #

constexpr TensorProto::DataType TensorProto_DataType_COMPLEX64 = TensorProto::COMPLEX64 #

constexpr TensorProto::DataType TensorProto_DataType_COMPLEX128 = TensorProto::COMPLEX128 #

constexpr TensorProto::DataType TensorProto_DataType_BFLOAT16 = TensorProto::BFLOAT16 #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT8E4M3FN = TensorProto::FLOAT8E4M3FN #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT8E4M3FNUZ = TensorProto::FLOAT8E4M3FNUZ #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT8E5M2 = TensorProto::FLOAT8E5M2 #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT8E5M2FNUZ = TensorProto::FLOAT8E5M2FNUZ #

constexpr TensorProto::DataType TensorProto_DataType_UINT4 = TensorProto::UINT4 #

constexpr TensorProto::DataType TensorProto_DataType_INT4 = TensorProto::INT4 #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT4E2M1 = TensorProto::FLOAT4E2M1 #

constexpr TensorProto::DataType TensorProto_DataType_FLOAT8E8M0 = TensorProto::FLOAT8E8M0 #

constexpr TensorProto::DataType TensorProto_DataType_UINT2 = TensorProto::UINT2 #

constexpr TensorProto::DataType TensorProto_DataType_INT2 = TensorProto::INT2 #

constexpr int TensorProto_DataType_DataType_MIN = 0#

constexpr int TensorProto_DataType_DataType_MAX = 26#

constexpr int TensorProto_DataType_DataType_ARRAYSIZE = 27#

constexpr TensorProto::DataLocation TensorProto_DataLocation_DEFAULT = TensorProto::DEFAULT #

constexpr TensorProto::DataLocation TensorProto_DataLocation_EXTERNAL = TensorProto::EXTERNAL #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_UNDEFINED = AttributeProto::UNDEFINED #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_FLOAT = AttributeProto::FLOAT #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_INT = AttributeProto::INT #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_STRING = AttributeProto::STRING #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_TENSOR = AttributeProto::TENSOR #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_GRAPH = AttributeProto::GRAPH #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_SPARSE_TENSOR = AttributeProto::SPARSE_TENSOR #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_TYPE_PROTO = AttributeProto::TYPE_PROTO #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_FLOATS = AttributeProto::FLOATS #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_INTS = AttributeProto::INTS #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_STRINGS = AttributeProto::STRINGS #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_TENSORS = AttributeProto::TENSORS #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_GRAPHS = AttributeProto::GRAPHS #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_SPARSE_TENSORS = AttributeProto::SPARSE_TENSORS #

constexpr AttributeProto::AttributeType AttributeProto_AttributeType_TYPE_PROTOS = AttributeProto::TYPE_PROTOS #