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 00:32:26 2025 |
| md5 checksum | df6d6a77887295ef78a0309668745333 |
| arch | x86_64 |
| build | gpu_cuda118py38h3edffa7_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 >=3.8,<3.9.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | df6d6a77887295ef78a0309668745333 |
| name | onnxruntime |
| platform | linux |
| sha1 | e006941aa38fc44d9eb76ae7909c63a988574908 |
| sha256 | fc826c06c48d7ae5db60c674da9f8b6cf5141e27b568d53fc30986b3018aeefe |
| size | 71205780 |
| subdir | linux-64 |
| timestamp | 1710907425869 |
| version | 1.17.1 |