traditionalml/utils.h#
Traditional-ML schema validation helpers, including
onnx_light::AssertAttributeProtoTypeAndLength().
Declares validation helpers shared by traditional-ML operator schemas.
This header provides attribute validation helpers used by traditional ML shape-inference logic.
-
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_NAMESPACEso 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 withONNX_APIcompile without modification.Namespace alias so that ONNX C++ code (and consumers such as onnxruntime) that refers to the literal
onnxnamespace — rather than theONNX_NAMESPACEmacro — resolves to the onnx-light namespace. The standard onnx package lives innamespace onnx; onnx-light usesonnx_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 fromonnx.Functions
-
inline void AssertAttributeProtoTypeAndLength(const AttributeProto *attr_proto, int expected_length, TensorProto::DataType expected_type, bool required)#
-
inline void AssertAttributeProtoTypeAndLength(const AttributeProto *attr_proto, int expected_length, TensorProto::DataType expected_type, bool required)#