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sci-libs/onnxruntime

Cross-platform, high performance ML inferencing and training accelerator

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  • onnxruntime-1.28.0
    ~amd64 ~arm64
    python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

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    Overlay: stuff
  • onnxruntime-1.28.0
    ~amd64 ~arm64
    python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

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    Overlay: bentoo
  • onnxruntime-1.27.1
    ~amd64
    python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

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    Overlay: guru
  • onnxruntime-1.27.1
    ~amd64 ~arm64
    python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

    View      Download      Browse     License: MIT   
    Overlay: stuff
  • onnxruntime-1.27.0
    ~amd64
    python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

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    Overlay: guru

ChangeLog

commit d8d65410da1776e7c674353ce9eb7f2305bb9bc8
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Sat Jul 25 10:37:24 2026 +0200

sci-libs/onnxruntime: drop 1.27.0

commit 78d5f235d1e75aaf518240c0cf58c01e3eedbc76
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Sat Jul 25 10:37:11 2026 +0200

sci-libs/onnxruntime: add 1.28.0

Regenerate the use-system-libraries patch for 1.28.0: upstream split the cpuinfo
FetchContent block into three branches (Windows-ARM / Linux / else) in the 1.28
cmake, adding a Linux elseif that the 1.27 patch did not cover. Rename to
onnxruntime-1.28.0-use-system-libraries.patch and make all three cpuinfo
FIND_PACKAGE_ARGS REQUIRED so the Linux build cannot silently vendor cpuinfo. Eigen
pin unchanged (deps.txt still 1d8b82b0).

commit 46b8b8af7cfa59db009ce9f3ef072eadd81326a7
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Sat Jul 11 09:20:24 2026 +0200

sci-libs/onnxruntime: drop 1.26.0

commit 6df016beddb458007d0674cc710fd7838efb17fb
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Sat Jul 11 09:20:23 2026 +0200

sci-libs/onnxruntime: add 1.27.1

commit 5856daa5d1f9c35c27d7f4da1b54b7db9fe7af7b
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Sat Jun 20 10:01:12 2026 +0200

sci-libs/onnxruntime: add 1.27.0

Rebase the use-system-libraries patch for 1.27.0: upstream collapsed the
Microsoft.GSL FetchContent declaration from a USE_CUDA/else split into a
single block (and moved its sub-patch 1064->1213), so the two old GSL
hunks become one. The other system-lib REQUIRED hunks apply unchanged;
the eigen pin is unchanged (cmake/deps.txt still references the same
commit). Build-verified with USE=python: configure resolves all system
libraries (no FetchContent download under network-sandbox) and
libonnxruntime.so.1.27.0 links.

commit 9e48c0af7bcdcfd491539d61d6341a9c4e8def9a
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Wed Jun 17 18:01:58 2026 +0200

sci-libs/onnxruntime: Keyword 1.26.0 for ~arm64

ONNX Runtime supports aarch64 as a first-class target. Builds the
default C++ configuration (python USE is off by default and pulls
::gentoo deps that still lack arm64, e.g. coloredlogs, so it stays
opt-in). aarch64-portable.

commit 6cefd2e68968302cbaf5f7f888d77248130b2159
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Sat May 16 15:15:40 2026 +0200

sci-libs/onnxruntime: new package, add 1.26.0

Microsoft's cross-platform ML inference runtime. Source build with
system libs (abseil, protobuf, re2, onnx, boost, etc.), USE=python
for Python bindings.

Forked from ::guru @ same version; ebuild + 3 patches copied as-is
(relax-flatbuffers-dep, no-werror, use-system-libraries). Build
verified end-to-end with PYTHON_SINGLE_TARGET=python3_13
+ USE=python; Python `import onnxruntime` resolves to 1.26.0.

Pulled in to support sci-ml/sherpa-onnx (source build).