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 00:33:05 2025 |
| md5 checksum | ff6f644b1ef2abb5a4f2d35369a485fd |
| arch | x86_64 |
| build | gpu_cuda118py312h0fbfd1f_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 >=1.26.4,<2.0a0, packaging, protobuf, python >=3.12,<3.13.0a0, python-flatbuffers, sympy, zstd >=1.5.2,<1.6.0a0 |
| license | MIT AND BSL-1.0 |
| license_family | MIT |
| md5 | ff6f644b1ef2abb5a4f2d35369a485fd |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | fdd1f8422bc989f9fabd571a797772646a3667ce |
| sha256 | 03e7e09513121ccb5894fd9313cd996d40819acc8eac8a8e645e332141b4190a |
| size | 71443596 |
| subdir | linux-64 |
| timestamp | 1711170310720 |
| version | 1.17.1 |