
Files | |
| ml_global.cpp | |
| Implementation of MLLIB build-stamp accessors that forward to UTILSLIB::buildinfo. | |
| ml_global.h | |
| Export/import macros, build-stamp accessors and namespace anchor for the MLLIB machine-learning library. | |
| ml_model.h | |
| Pure-virtual MLLIB::MlModel interface that every MLLIB inference backend implements. | |
| ml_onnx_model.cpp | |
| Implementation of MLLIB::MlOnnxModel including session creation, IO-binding cache and zero-copy predict. | |
| ml_onnx_model.h | |
ONNX Runtime backed MLLIB::MlModel implementation for loading and evaluating .onnx graphs. | |
| ml_tensor.cpp | |
| Implementation of MLLIB::MlTensor including row-major/Eigen interop and shared-buffer reshape. | |
| ml_tensor.h | |
| N-dimensional, row-major, reference-counted float32 tensor used as the universal MLLIB data carrier. | |
| ml_trainer.cpp | |
| Implementation of MLLIB::MLTrainer that dispatches training scripts through UTILSLIB::PythonRunner. | |
| ml_trainer.h | |
| MLLIB::MLTrainer convenience wrapper that drives Python training scripts via UTILSLIB::PythonRunner. | |
| ml_types.h | |
| Strongly typed enumerations describing the ML backend, tensor element type and inference task. | |