generator/utils.h#
Generator-domain schema helpers, including
onnx_light::ConstantOpInference().
Declares shape-inference helpers for generator-style operators.
This header currently provides the Constant operator inference helper used by schema definitions in the generator domain, and a templated helper used by the Range operator to compute its 1-D output dimension when the inputs are available as constant initializers.
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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.Functions
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void ConstantOpInference(InferenceContext &ctx)#
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template<typename T>
int64_t compute_output_dim_for_range(const TensorProto *start, const TensorProto *limit, const TensorProto *delta)#
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void ConstantOpInference(InferenceContext &ctx)#