math/utils.h#

Math-domain schema helpers, including onnx_light::defs::math::utils::TopKOpGenerator() and onnx_light::defs::math::utils::MatMulShapeInference().

Declares reusable math-operator schema and inference helpers.

This header defines utility APIs for math-domain operators, including TopK schema generation, scalar extraction from TensorProto constants, and MatMul shape inference helpers.

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.

Maps the upstream compatibility macro to onnx-light’s explicit proto ABI annotation. This keeps declarations from vendored ONNX headers visible when lib_onnx_proto uses hidden visibility by default.

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.

namespace defs#
namespace math#
namespace utils#

Functions

std::function<void(OpSchema&)> TopKOpGenerator(std::vector<std::string> allowed_types)#
template<typename T>
T GetScalarValueFromTensor(const onnx_light::TensorProto *t)#
void MatMulShapeInference(onnx_light::InferenceContext &ctx, int input1Idx, int input2Idx)#
void QLinearMatMulShapeInference(onnx_light::InferenceContext &ctx)#
const char *QLinearMatMulDoc()#
int64_t MathOpTwoIntegers(const std::string &op_type, int64_t a, int64_t b)#