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 00:33:08 2025 |
| md5 checksum | d0f3654f3ce01b1c3b3fb97587981a4b |
| arch | x86_64 |
| build | gpu_cuda118py38h3ae807f_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 >=1.21.6,<2.0a0, packaging, protobuf, python >=3.8,<3.9.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | d0f3654f3ce01b1c3b3fb97587981a4b |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | 72a223b9b6f55a90fe6e403780434c015642eeaf |
| sha256 | eef14d9816ae40710a8b3c810c735cd5ad36544d4c479e2c245223e8e4870700 |
| size | 71150136 |
| subdir | linux-64 |
| timestamp | 1710955358170 |
| version | 1.17.1 |