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sci-libs/onnxruntime (stuff)

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Install

Install this package:

emerge -a sci-libs/onnxruntime

Package Information

Description:
ONNX Runtime is Microsoft's cross-platform machine learning inference and training accelerator. Provides a C/C++/Python API plus optional execution providers for CPU, NVIDIA CUDA, AMD ROCm, OpenVINO, DirectML, CoreML, and others. Reads ONNX-format models and dispatches operators to whichever provider is registered. USE=python builds the Python bindings (NumPy, flatbuffers, protobuf, and packaging); USE=test builds the C++ test suite with upstream's pinned GoogleTest source. Derived from the ::guru package with patches to relax the flatbuffers dependency, drop -Werror, and use system libraries. Eigen3 remains pinned to a specific GitLab archive commit because upstream requires features newer than the latest compatible tagged release. CUDA builds use pinned CUTLASS and cuDNN Frontend sources required by upstream.
Homepage:
https://onnxruntime.ai https://github.com/microsoft/onnxruntime
License:
Apache-2.0 BSD MIT

Versions

Version EAPI Keywords Slot
1.30.0 8 ~amd64 ~arm64 0
1.29.0 8 ~amd64 ~arm64 0
1.28.0 8 ~amd64 ~arm64 0

Metadata

Description

Maintainers

Upstream

Raw Metadata XML 
<pkgmetadata>
	<maintainer type="person">
		<email>iohann.s.titov@gmail.com</email>
		<name>Ivan S. Titov</name>
	</maintainer>
	<longdescription>
    ONNX Runtime is Microsoft's cross-platform machine learning inference
    and training accelerator. Provides a C/C++/Python API plus optional
    execution providers for CPU, NVIDIA CUDA, AMD ROCm, OpenVINO, DirectML,
    CoreML, and others. Reads ONNX-format models and dispatches operators
    to whichever provider is registered.

    USE=python builds the Python bindings (NumPy, flatbuffers, protobuf, and
    packaging); USE=test builds the C++ test suite with upstream's pinned
    GoogleTest source.

    Derived from the ::guru package with patches to relax the flatbuffers
    dependency, drop -Werror, and use system libraries. Eigen3 remains pinned
    to a specific GitLab archive commit because upstream requires features
    newer than the latest compatible tagged release. CUDA builds use pinned
    CUTLASS and cuDNN Frontend sources required by upstream.
  </longdescription>
	<use>
		<flag name="cuda">Build the NVIDIA CUDA execution provider</flag>
	</use>
	<upstream>
		<doc>https://onnxruntime.ai/docs/</doc>
		<bugs-to>https://github.com/microsoft/onnxruntime/issues</bugs-to>
		<remote-id type="github">microsoft/onnxruntime</remote-id>
		<remote-id type="gitlab">libeigen/eigen</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

USE Flags

Manage flags for this package: euse -i <flag> -p sci-libs/onnxruntime | euse -E <flag> -p sci-libs/onnxruntime | euse -D <flag> -p sci-libs/onnxruntime

Flag Description 1.30.0 1.29.0 1.28.0
cuda Build the NVIDIA CUDA execution provider ✓ ✓ ✓
python Build pygwy, the Python 3 scripting bridge. Implies USE=introspection and pulls in <pkg>dev-python/pygobject</pkg>. Provides a plug-in discovery path and an in-process console registered as /Python Console. ⚠️ ✓ ✓ ✓
test Build and run unit tests ⚠️ ✓ ✓ ✓

Files

Manifest

Type File Size Versions
DIST abseil-cpp-20250814.1.tar.gz 2235716 bytes 1.30.0, 1.29.0, 1.28.0
DIST cudnn-frontend-1.24.0.tar.gz 6462724 bytes 1.29.0, 1.28.0
DIST cudnn-frontend-1.27.0.tar.gz 9015650 bytes 1.30.0
DIST cutlass-4.4.2.tar.gz 39290487 bytes 1.29.0, 1.28.0
DIST cutlass-4.7.0.tar.gz 42467609 bytes 1.30.0
DIST eigen-3.4.0_p20250216.tar.bz2 2272941 bytes 1.30.0, 1.29.0, 1.28.0
DIST googletest-1.17.0.tar.gz 885595 bytes 1.30.0, 1.29.0, 1.28.0
DIST onnxruntime-1.28.0.tar.gz 278663126 bytes 1.28.0
DIST onnxruntime-1.29.0.tar.gz 277662433 bytes 1.29.0
DIST onnxruntime-1.30.0.tar.gz 278619110 bytes 1.30.0
Unmatched Entries
Type File Size