Install this package:
emerge -a dev-python/onnxruntime
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask dev-python/onnxruntime
Or alternatively:
emerge --autounmask-write -a dev-python/onnxruntime
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 1.24.2 | 8 | ~amd64 | 0 |
<pkgmetadata> <maintainer type="person"> <email>vowstar@gmail.com</email> <name>Huang Rui</name> </maintainer> <longdescription lang="en"> ONNX Runtime is a cross-platform, high performance ML inferencing and training accelerator. It supports models in ONNX format and provides optimized inference using hardware-specific acceleration. This is a prebuilt binary package from PyPI wheels. </longdescription> <longdescription lang="zh"> ONNX Runtime是一个跨平台、高性能的机器学习推理和训练加速器。它支持ONNX 格式的模型,并使用硬件特定的加速来提供优化的推理。这是一个来自PyPI wheels 的预构建二进制包。 </longdescription> <upstream> <bugs-to>https://github.com/microsoft/onnxruntime/issues</bugs-to> <remote-id type="github">microsoft/onnxruntime</remote-id> <remote-id type="pypi">onnxruntime</remote-id> </upstream> </pkgmetadata>
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | onnxruntime-1.24.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | 17107440 bytes | 1.24.2 |
| DIST | onnxruntime-1.24.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | 17106547 bytes | 1.24.2 |
| DIST | onnxruntime-1.24.2-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | 17106308 bytes | 1.24.2 |
| DIST | onnxruntime-1.24.2-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | 17106108 bytes | 1.24.2 |
| Type | File | Size |
|---|