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 00:33:02 2025 |
| md5 checksum | 1793fa0dfe0c73b64c3b1e244ed67981 |
| arch | x86_64 |
| build | gpu_cuda118py311h3261197_0 |
| constrains | onnxruntime <0a0 |
| 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 | 1793fa0dfe0c73b64c3b1e244ed67981 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | d2e9670b78c39c1895513186dfe1a4edfabbcd34 |
| sha256 | 356423244553f83efac3aeb55539fe134fe765430675cb88b57f9299bebee6ff |
| size | 71479885 |
| subdir | linux-64 |
| timestamp | 1710967438962 |
| version | 1.17.1 |