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6 commits
| Author | SHA1 | Message | Date | |
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Ye Wang
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83dc22585c
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Second round cherry-pick to rel-1.9.0 (#9062)
* Adding async fetching for webgl backend (#8951)
* Adding async fetching for webgl backend
* fix PR comments and CI failure.
* fixing a bug
* adding a flag
* Enable linking in exception throwing support library when build onnxruntime wasm. (#8973)
* Enable linking in exception throwing support library when build onnxruntime webassembly containing onnxruntime-extensions.
* Add flag in build.py to enable linking exceptions throwing library.
* Update onnxruntime-extensions document and bind custom_ops build flag with use_extensions.
* Update doc.
* Update cgmanifest.json.
Co-authored-by: Zuwei Zhao <zuzhao@microsoft.com>
* Remove document text from error message in a couple of ops (#9003)
* do not add pkg wheel entry to the index html file if it already exists (#9004)
* do not add pkg wheel entry to the index html file if it already exists
* [js/web] fix ort web e2e test (#9025)
* Fix cmake POWER10 detection
Recent commit
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Changming Sun
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f04a235c77
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Update manylinux build scripts (#8724)
Update manylinux build scripts. Sync it with the latest upstream. |
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Suffian Khan
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35ca3c99d1
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Fix ROCm wheels pipeline after changes to manylinux scripts (#8026)
* update * try fix rocm pipeline * avoid already isntalled error * ignore python3.10 since build fails * fix * try setting user * try again * try again * try again * fix script * disable inference docs generation * try print device id * fix name qual * try again * try again * try again * provider_options * add device verify * rty again * try again * try aggain * print video/render gid * try again * run as root * try again with uid, gid * cleanup * run as root * temp fix * add /bin/bash Co-authored-by: Changming Sun <chasun@microsoft.com> |
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pengwa
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cb5f411da3
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Fix Python Packaging Pipeline && Build Clean Up (#7993)
* remove link to python * revert orttraining-linux-ci build env change introduced by pr https://github.com/microsoft/onnxruntime/pull/7993. * fix builds * fix builds * clean up * fix builds * Fix unused params * fix some comments. |
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pengwa
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9e4dc08483
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training with custom autograd Functions (#7513)
* Register Torch Custom autograd.Function
* Add flag to supress pybind11 warning
* Avoid unnecessary include in cmake
* Add missing reference
* Add getter for registerred functions
* Format for making subsquent changes cleaner
* Fix interop feature build failure
* Forward pass, run PyOP on CPU EP
* clean up the code
* Fix build
* Define new ops
* refactor pyop - extract PyOpLibProxy class
* Hacks to run example
* implement the kernel compute func
* add back PyOP for comparision experiments
* debug info - thread id
* refine the kernels
* Polish code
(cherry picked from commit
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Changming Sun
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b854f2399d
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Update manylinux build scripts and GPU CUDA version from 11.0 to 11.1 (#7632)
1. Update manylinux build scripts. This will add [PEP600](https://www.python.org/dev/peps/pep-0600/)(manylinux2 tags) support. numpy has adopted this new feature, we should do the same. The old build script files were copied from https://github.com/pypa/manylinux, but they has been deleted and replaced in the upstream repo. The manylinux repo doesn't have a manylinux2014 branch anymore. So I'm removing the obsolete code, sync the files with the latest master. 2. Update GPU CUDA version from 11.0 to 11.1(after a discussion with PMs). 3. Delete tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda10_2. (Merged the content to tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11) 4. Modernize the cmake code of how to locate python devel files. It was suggested in https://github.com/onnx/onnx/pull/1631 . 5. Remove `onnxruntime_MSVC_STATIC_RUNTIME` and `onnxruntime_GCC_STATIC_CPP_RUNTIME` build options. Now cmake has builtin support for it. Starting from cmake 3.15, we can use `CMAKE_MSVC_RUNTIME_LIBRARY` cmake variable to choose which MSVC runtime library we want to use. 6. Update Ubuntu docker images that used in our CI build from Ubuntu 18.04 to Ubuntu 20.04. 7. Update GCC version in CUDA 11.1 pipelines from 8.x to 9.3.1 8. Split Linux GPU CI pipeline to two jobs: build the code on a CPU machine then run the tests on another GPU machines. In the past we didn't test our python packages. We only tested the pre-packed files. So we didn't catch the rpath issue in CI build. 9. Add a CentOS machine pool and test our Linux GPU build on real CentOS machines. 10. Rework ARM64 Linux GPU python packaging pipeline. Previously it uses cross-compiling therefore we must static link to C Runtime. But now have pluggable EP API and it doesn't support static link. So I changed to use qemu emulation instead. Now the build is 10x slower than before. But it is more extensible. |