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Test autofix action. #4
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fix style |
This reverts commit d7616c6.
- uses: pre-commit/[email protected] | ||
- uses: actions/setup-python@v4 | ||
with: | ||
python-version: '3.9' |
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TODO: flake8 breaks on Cython code if we use Python 3.10 because of changes in the parser. I think we may need to update flake8 and add the flake8-force plugin to fix this? https://github.com/kmaehashi/flake8-force
FYI on the |
This PR has been labeled |
This implements stacktrace and adds a stacktrace string into any exception thrown by cudf. By doing so, the exception carries information about where it originated, allowing the downstream application to trace back with much less effort. Closes rapidsai#12422. ### Example: ``` #0: cudf/cpp/build/libcudf.so : std::unique_ptr<cudf::column, std::default_delete<cudf::column> > cudf::detail::sorted_order<false>(cudf::table_view, std::vector<cudf::order, std::allocator<cudf::order> > const&, std::vector<cudf::null_order, std::allocator<cudf::null_order> > const&, rmm::cuda_stream_view, rmm::mr::device_memory_resource*)+0x446 #1: cudf/cpp/build/libcudf.so : cudf::detail::sorted_order(cudf::table_view const&, std::vector<cudf::order, std::allocator<cudf::order> > const&, std::vector<cudf::null_order, std::allocator<cudf::null_order> > const&, rmm::cuda_stream_view, rmm::mr::device_memory_resource*)+0x113 #2: cudf/cpp/build/libcudf.so : std::unique_ptr<cudf::column, std::default_delete<cudf::column> > cudf::detail::segmented_sorted_order_common<(cudf::detail::sort_method)1>(cudf::table_view const&, cudf::column_view const&, std::vector<cudf::order, std::allocator<cudf::order> > const&, std::vector<cudf::null_order, std::allocator<cudf::null_order> > const&, rmm::cuda_stream_view, rmm::mr::device_memory_resource*)+0x66e #3: cudf/cpp/build/libcudf.so : cudf::detail::segmented_sort_by_key(cudf::table_view const&, cudf::table_view const&, cudf::column_view const&, std::vector<cudf::order, std::allocator<cudf::order> > const&, std::vector<cudf::null_order, std::allocator<cudf::null_order> > const&, rmm::cuda_stream_view, rmm::mr::device_memory_resource*)+0x88 #4: cudf/cpp/build/libcudf.so : cudf::segmented_sort_by_key(cudf::table_view const&, cudf::table_view const&, cudf::column_view const&, std::vector<cudf::order, std::allocator<cudf::order> > const&, std::vector<cudf::null_order, std::allocator<cudf::null_order> > const&, rmm::mr::device_memory_resource*)+0xb9 #5: cudf/cpp/build/gtests/SORT_TEST : ()+0xe3027 rapidsai#6: cudf/cpp/build/lib/libgtest.so.1.13.0 : void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*)+0x8f rapidsai#7: cudf/cpp/build/lib/libgtest.so.1.13.0 : testing::Test::Run()+0xd6 rapidsai#8: cudf/cpp/build/lib/libgtest.so.1.13.0 : testing::TestInfo::Run()+0x195 rapidsai#9: cudf/cpp/build/lib/libgtest.so.1.13.0 : testing::TestSuite::Run()+0x109 rapidsai#10: cudf/cpp/build/lib/libgtest.so.1.13.0 : testing::internal::UnitTestImpl::RunAllTests()+0x44f rapidsai#11: cudf/cpp/build/lib/libgtest.so.1.13.0 : bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*)+0x87 rapidsai#12: cudf/cpp/build/lib/libgtest.so.1.13.0 : testing::UnitTest::Run()+0x95 rapidsai#13: cudf/cpp/build/gtests/SORT_TEST : ()+0xdb08c rapidsai#14: /lib/x86_64-linux-gnu/libc.so.6 : ()+0x29d90 rapidsai#15: /lib/x86_64-linux-gnu/libc.so.6 : __libc_start_main()+0x80 rapidsai#16: cudf/cpp/build/gtests/SORT_TEST : ()+0xdf3d5 ``` ### Usage In order to retrieve a stacktrace with fully human-readable symbols, some compiling options must be adjusted. To make such adjustment convenient and effortless, a new cmake option (`CUDF_BUILD_STACKTRACE_DEBUG`) has been added. Just set this option to `ON` before building cudf and it will be ready to use. For downstream applications, whenever a cudf-type exception is thrown, it can retrieve the stored stacktrace and do whatever it wants with it. For example: ``` try { // cudf API calls } catch (cudf::logic_error const& e) { std::cout << e.what() << std::endl; std::cout << e.stacktrace() << std::endl; throw e; } // similar with catching other exception types ``` ### Follow-up work The next step would be patching `rmm` to attach stacktrace into `rmm::` exceptions. Doing so will allow debugging various memory exceptions thrown from libcudf using their stacktrace. ### Note: * This feature doesn't require libcudf to be built in Debug mode. * The flag `CUDF_BUILD_STACKTRACE_DEBUG` should not be turned on in production as it may affect code optimization. Instead, libcudf compiled with that flag turned on should be used only when needed, when debugging cudf throwing exceptions. * This flag removes the current optimization flag from compiling (such as `-O2` or `-O3`, if in Release mode) and replaces by `-Og` (optimize for debugging). * If this option is not set to `ON`, the stacktrace will not be available. This is to avoid expensive stracktrace retrieval if the throwing exception is expected. Authors: - Nghia Truong (https://github.com/ttnghia) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) - Robert Maynard (https://github.com/robertmaynard) - Vyas Ramasubramani (https://github.com/vyasr) - Jason Lowe (https://github.com/jlowe) URL: rapidsai#13298
Closing as stale. |
Pin conda packages to `aws-sdk-cpp<1.11`. The recent upgrade in version `1.11.*` has caused several issues with cleaning up (more details on changes can be read in [this link](https://github.com/aws/aws-sdk-cpp#version-111-is-now-available)), leading to Distributed and Dask-CUDA processes to segfault. The stack for one of those crashes looks like the following: ``` (gdb) bt #0 0x00007f5125359a0c in Aws::Utils::Logging::s_aws_logger_redirect_get_log_level(aws_logger*, unsigned int) () from /opt/conda/envs/dask/lib/python3.9/site-packages/pyarrow/../../.././libaws-cpp-sdk-core.so #1 0x00007f5124968f83 in aws_event_loop_thread () from /opt/conda/envs/dask/lib/python3.9/site-packages/pyarrow/../../../././libaws-c-io.so.1.0.0 #2 0x00007f5124ad9359 in thread_fn () from /opt/conda/envs/dask/lib/python3.9/site-packages/pyarrow/../../../././libaws-c-common.so.1 #3 0x00007f519958f6db in start_thread () from /lib/x86_64-linux-gnu/libpthread.so.0 #4 0x00007f5198b1361f in clone () from /lib/x86_64-linux-gnu/libc.so.6 ``` Such segfaults now manifest frequently in CI, and in some cases are reproducible with a hit rate of ~30%. Given the approaching release time, it's probably the safest option to just pin to an older version of the package while we don't pinpoint the exact cause for the issue and a patched build is released upstream. The `aws-sdk-cpp` is statically-linked in the `pyarrow` pip package, which prevents us from using the same pinning technique. cuDF is currently pinned to `pyarrow=12.0.1` which seems to be built against `aws-sdk-cpp=1.10.*`, as per [recent build logs](https://github.com/apache/arrow/actions/runs/6276453828/job/17046177335?pr=37792#step:6:1372). Authors: - Peter Andreas Entschev (https://github.com/pentschev) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) - Ray Douglass (https://github.com/raydouglass) URL: rapidsai#14173
…#4) Fixes: rapidsai#14148 This PR resolves a RunTimeError by raising when a pd.PeriodIndex is passed to the column constructor, the reason being there is no cudf.PeriodIndex implemented yet.
Testing autofix action.
To do: