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 00:32:46 2025 |
| md5 checksum | 7aae898ebddd652d303bd78235f72b7a |
| arch | x86_64 |
| build | gpu_cuda124py311ha58035e_0 |
| constrains | onnxruntime <0a0 |
| 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 | 7aae898ebddd652d303bd78235f72b7a |
| name | onnxruntime-novec |
| platform | linux |
| sha1 | fdabe639fc6b31e35fc14b1cc63e8e7c43958b38 |
| sha256 | e85cf4817e61c76a7b3d8f8ec9072f0fbc1baca5d16cd7dce6dc2ab0cebc9e04 |
| size | 115245958 |
| subdir | linux-64 |
| timestamp | 1738233283935 |
| version | 1.20.1 |