The NeoOnnx library lets you load third-party neural networks serialized in ONNX format.
#include <NeoOnnx/NeoOnnx.h>
NEOONNX_API void LoadFromOnnx( const char* fileName, const CImportSettings& settings,
NeoML::CDnn& dnn, CImportedModelInfo& info );
NEOONNX_API void LoadFromOnnx( const void* buffer, int bufferSize, const CImportSettings& settings,
NeoML::CDnn& dnn, CImportedModelInfo& info );Loads a network from a file or a buffer.
For each network input the dnn network will have a CSourceLayer with the same name. For each source layer a blob of the size specified in the ONNX model will be allocated. Also input names will be added to the inputs array. The inputs with initializers will be ignored and the initializer values will be loaded directly.
For each network output the dnn network will have a CSinkLayer with the same name. Also output names will be added to the outputs array.
Information about model's inputs, outputs and metadata_props will be written to the info.
The library will be built automatically together with NeoML.
Supported all ONNX opset versions up to 16. Supported the main convolutional neural network operations, LSTM, and most activation functions.
See the methods that load ONNX models in Objective-C and Java interfaces.