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* Rename python-onnxruntime-cuda to onnxruntime-cuda - this split
package actually does not contain Python libraries.
* Move optdepends to the correct package
* Drop flatbuffers fix after upstream adds the compatibility back [1]
* Improve onednn patch - fallback to bundled onednn if the system one
is missing & wrap other usage of `DNNL_DLL_PATH`
* Add CUDA architectures introduced in CUDA 11.8. See [2]
* Refresh patches for 1.13
[1] https://github.com/google/flatbuffers/issues/7499
[2] https://github.com/archlinux/svntogit-community/commit/54642de5ba70f8c67ad6c16815dd31138ba47456
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Upstream flatbuffers renamed the package from Flatbuffers to FlatBuffers
(capital B) [1].
Fixes the issue reported at
https://aur.archlinux.org/packages/python-onnxruntime#comment-879320
Also drops patches that are part of the latest version.
[1] https://github.com/google/flatbuffers/pull/7378
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* Update Python dependencies following upstream [1].
* Rebase patches for devendoring after upstream changes [2].
* Avoid wheel.vendored, which is needed since [3] while devendored in
Arch [4].
[1] https://github.com/microsoft/onnxruntime/pull/11522
[2] https://github.com/microsoft/onnxruntime/pull/11146
[3] https://github.com/microsoft/onnxruntime/pull/11834
[4] https://github.com/archlinux/svntogit-community/commit/e691288eda92fb5982ac5ac18f6459c5da560d7a
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Also enables orttraining and use shared libs
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extra/protobuf still stucks at 3.7.0 :/
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