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 00:33:11 2025 |
| md5 checksum | 121d0c9cdfa7d846f957f5f4517c5172 |
| arch | x86_64 |
| build | gpu_cuda118py39h3ae807f_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 >=3.9,<3.10.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 121d0c9cdfa7d846f957f5f4517c5172 |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | a2946e5b5bb62d73a73e021b86202e031d78ecaf |
| sha256 | 32f94042c93631525085cee2901d66e4766b143a450a46bb4d2602e315d244bd |
| size | 71154354 |
| subdir | linux-64 |
| timestamp | 1710931344905 |
| version | 1.17.1 |