operator_sets_math.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 onnx_op
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namespace math#
Typedefs
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using LightOpSchema = onnx_light::onnx_op::LightOpSchema#
Functions
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std::vector<LightOpSchema> GetAllOnnxOpMathSchemasWithHistory(const std::string &op_type = "", bool init_doc = true)#
Returns the versioned schema history for all supported math operators (e.g. Abs, Add, Sin, Cos, Pow, BlackmanWindow, MatMul, Gemm).
- Parameters:
op_type – If non-empty, only schemas whose
name()equalsop_typeare returned. When empty (default), schemas for every registered math operator are returned. Internally, the function uses a name → builder map so that only the matching builder runs and unrelated schemas are not constructed.init_doc – If true (default), each schema’s documentation string is populated. When false, documentation strings are discarded (doc() returns “”), which can save memory when documentation is not needed.
- Returns:
Vector of LightOpSchema objects for the math domain, ordered by operator name and descending opset version.
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using LightOpSchema = onnx_light::onnx_op::LightOpSchema#
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namespace math#
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namespace onnx_op