sci-libs/onnxruntime
Cross-platform, high performance ML inferencing and training accelerator
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onnxruntime-1.27.0~amd64python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14
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onnxruntime-1.27.0~amd64 ~arm64python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14
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onnxruntime-1.26.0-r1~amd64python test python_targets_python3_12 python_targets_python3_13 python_targets_python3_14
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ChangeLog
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).
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).