ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Edit Package onnxruntime
https://github.com/microsoft/onnxruntime

ONNX Runtime is a cross-platform inference and training machine-learning accelerator.

ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.

Source Files
Filename Size Changed
FP16-0a92994d729ff76a58f692d3028ca1b64b145d91.zip 0000091373 89.2 KB
GSL-4.0.0.zip 0000078670 76.8 KB
SafeInt-3.0.28.zip 0000626378 612 KB
_constraints 0000000167 167 Bytes
_multibuild 0000000114 114 Bytes
_service 0000000723 723 Bytes
_servicedata 0000000238 238 Bytes
abseil-cpp-20250814.0.zip 0003194036 3.05 MB
cpuinfo-403d652dca4c1046e8145950b1c0997a9f748b57.zip 0003853314 3.67 MB
cxxopts-3c73d91c0b04e2b59462f0a741be8c07024c1bc0.zip 0000098330 96 KB
date-3.0.1.zip 0000941286 919 KB
dlpack-5c210da409e7f1e51ddf445134a4376fdbd70d7d.zip 0000228363 223 KB
eigen-1d8b82b0740839c0de7f1242a3585e3390ff5f33.zip 0004075744 3.89 MB
flatbuffers-23.5.26.zip 0003209602 3.06 MB
gcc-false-positives.patch 0000002622 2.56 KB
json-3.11.3.zip 0008489998 8.1 MB
mp11-boost-1.82.0.zip 0000232716 227 KB
onnx-1.20.1.zip 0018011094 17.2 MB
onnxruntime-1.24.4.tar.zst 0394510971 376 MB
onnxruntime.changes 0000002560 2.5 KB
onnxruntime.spec 0000011921 11.6 KB
protobuf-21.12.zip 0007180794 6.85 MB
re2-2024-07-02.zip 0000451539 441 KB
system-pybind11.patch 0000000582 582 Bytes
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