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 00:32:23 2025 |
| md5 checksum | 91668b0b54ad1df4bbbf4aa5e094f6c4 |
| arch | x86_64 |
| build | gpu_cuda118py312ha05b442_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 >=1.26.4,<2.0a0, packaging, protobuf, python >=3.12,<3.13.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 91668b0b54ad1df4bbbf4aa5e094f6c4 |
| name | onnxruntime |
| platform | linux |
| sha1 | 7ba4f85b5c927012722e00847fe0d080e2fe1e25 |
| sha256 | ad35275673ffa5eb097a4498d039fde4125259a72133e060772ee08942bcdae1 |
| size | 71519795 |
| subdir | linux-64 |
| timestamp | 1711158406719 |
| version | 1.17.1 |