q_dq_21_20.h#
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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.-
namespace version_conversion
Variables
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static const std::vector<TensorProto_DataType> q_dq_20_unallowed_types = {TensorProto_DataType_UINT16, TensorProto_DataType_INT16, TensorProto_DataType_UINT4, TensorProto_DataType_INT4}#
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class DequantizeLinear_21_20 : public onnx_light::version_conversion::TypeRestriction#
- #include <q_dq_21_20.h>
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class QuantizeLinear_21_20 : public onnx_light::version_conversion::TypeRestriction#
- #include <q_dq_21_20.h>
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static const std::vector<TensorProto_DataType> q_dq_20_unallowed_types = {TensorProto_DataType_UINT16, TensorProto_DataType_INT16, TensorProto_DataType_UINT4, TensorProto_DataType_INT4}#
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namespace version_conversion