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 00:32:00 2025 |
| md5 checksum | 5e0940b5d786d018c395e9c6d5ee27e8 |
| arch | x86_64 |
| build | gpu_cuda124py311h05d824c_0 |
| depends | __cuda, coloredlogs, cuda-cudart >=12.4.127,<13.0a0, cuda-cupti >=12.4.127,<13.0a0, cuda-nvrtc >=12.4.127,<13.0a0, cuda-version >=12.4,<13, cudnn >=9.1,<10.0a0, libcublas >=12.4.5.8,<13.0a0, libcufft >=11.2.1.3,<12.0a0, libcurand >=10.3.5.147,<11.0a0, libcusparse >=12.3.1.170,<13.0a0, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.19,<3, numpy >=1.21.6,<3, packaging, protobuf, python >=3.11,<3.12.0a0, python-flatbuffers, sympy |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | 5e0940b5d786d018c395e9c6d5ee27e8 |
| name | onnxruntime |
| platform | linux |
| sha1 | 1a6b63e3d6150d2f2d85070c6669974ed2c6a9a8 |
| sha256 | 534ddaf08cee1490194d2c814445b29321357f5055ed54da2e54bc5d1c92fc2b |
| size | 115410483 |
| subdir | linux-64 |
| timestamp | 1738195265977 |
| version | 1.20.1 |