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 00:32:21 2025 |
| md5 checksum | 1112fdd1980b30a338c1146f6e4a04f8 |
| arch | x86_64 |
| build | gpu_cuda118py311hf5bd54d_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 >=1.23.5,<2.0a0, packaging, protobuf, python >=3.11,<3.12.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 1112fdd1980b30a338c1146f6e4a04f8 |
| name | onnxruntime |
| platform | linux |
| sha1 | f87884ce84ae8e705f19ff5b0cdcfd34606eab50 |
| sha256 | 1b0cd07efd6fcf898a38a718d7a97bdec34a444139ca2d37476199d71bd055e3 |
| size | 71568170 |
| subdir | linux-64 |
| timestamp | 1710919379442 |
| version | 1.17.1 |