A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 12:15 UTC
[Doc] note that not all unit tests pass on CPU platforms (#17554)
Signed-off-by: David Xia <david@davidxia.com>
David Xia committed
May 1, 2025 at 22:57 UTC
afb12e42948d50c85ffa9deb9963edda5814bffa
1 file changed
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docs/source/contributing/overview.md
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@@ -58,6 +58,12 @@ Therefore, we recommend developing with Python 3.12 to minimise the chance of yo
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Currently, the repository is not fully checked by `mypy`.
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:::
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+:::{note}
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+Currently, not all unit tests pass when run on CPU platforms. If you don't have access to a GPU
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+platform to run unit tests locally, rely on the continuous integration system to run the tests for
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+now.
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+:::
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+
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## Issues
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If you encounter a bug or have a feature request, please [search existing issues](https://github.com/vllm-project/vllm/issues?q=is%3Aissue) first to see if it has already been reported. If not, please [file a new issue](https://github.com/vllm-project/vllm/issues/new/choose), providing as much relevant information as possible.