ONNX Runtime is a cross-platform machine-learning model accelerator, with a flexible interface to integrate hardware-specific libraries. ONNX Runtime can be used with models from PyTorch, Tensorflow/Keras, TFLite, scikit-learn, and other frameworks.
| Uploaded | Mon Mar 31 00:32:18 2025 |
| md5 checksum | c5d95b4f6e5470984fd6918730be1443 |
| arch | x86_64 |
| build | gpu_cuda118py310h3edffa7_0 |
| depends | coloredlogs, cudatoolkit 11.8.*, cudnn >=8.9,<9.0a0, cupti 11.8.*, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<2.0a0, packaging, protobuf, python >=3.10,<3.11.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | c5d95b4f6e5470984fd6918730be1443 |
| name | onnxruntime |
| platform | linux |
| sha1 | 840f842867fcc30c63dd9a8e952346842710967a |
| sha256 | 9f9a051319432fd9494ba3685304f878ac0379d1ae4ae8f6a60e36f6537310de |
| size | 71234887 |
| subdir | linux-64 |
| timestamp | 1710895497788 |
| version | 1.17.1 |