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 00:32:29 2025 |
| md5 checksum | 64a32bff15d462a1023d526eb6ed1253 |
| arch | x86_64 |
| build | gpu_cuda118py39h3edffa7_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 >=1.21.6,<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 | 64a32bff15d462a1023d526eb6ed1253 |
| name | onnxruntime |
| platform | linux |
| sha1 | 091ef0ac713e04426e64e2892c8b3f9cb0746ae4 |
| sha256 | a4879a7ea7536ec973bce19d1a26e5daa4fba6d1287b099b9b5580d770ecfb77 |
| size | 71224293 |
| subdir | linux-64 |
| timestamp | 1710883580587 |
| version | 1.17.1 |