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[Docs] Reduce custom syntax used in docs (#27009)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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Harry Mellor
2025-10-17 04:05:34 +01:00
committed by GitHub
parent 965c5f4914
commit 4ffd6e8942
65 changed files with 381 additions and 402 deletions
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8
docs/contributing/ci/update_pytorch_version.md
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@@ -5,7 +5,7 @@ release in CI/CD. It is standard practice to submit a PR to update the
PyTorch version as early as possible when a new [PyTorch stable
release](https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-cadence) becomes available.
This process is non-trivial due to the gap between PyTorch
releases. Using <gh-pr:16859> as an example, this document outlines common steps to achieve this
releases. Using <https://github.com/vllm-project/vllm/pull/16859> as an example, this document outlines common steps to achieve this
update along with a list of potential issues and how to address them.
## Test PyTorch release candidates (RCs)
@@ -85,7 +85,7 @@ and timeout. Additionally, since vLLM's fastcheck pipeline runs in read-only mod
it doesn't populate the cache, so re-running it to warm up the cache
is ineffective.
While ongoing efforts like [#17419](gh-issue:17419)
While ongoing efforts like <https://github.com/vllm-project/vllm/issues/17419>
address the long build time at its source, the current workaround is to set `VLLM_CI_BRANCH`
to a custom branch provided by @khluu (`VLLM_CI_BRANCH=khluu/use_postmerge_q`)
when manually triggering a build on Buildkite. This branch accomplishes two things:
@@ -138,5 +138,5 @@ to handle some platforms separately. The separation of requirements and Dockerfi
for different platforms in vLLM CI/CD allows us to selectively choose
which platforms to update. For instance, updating XPU requires the corresponding
release from [Intel Extension for PyTorch](https://github.com/intel/intel-extension-for-pytorch) by Intel.
While <gh-pr:16859> updated vLLM to PyTorch 2.7.0 on CPU, CUDA, and ROCm,
<gh-pr:17444> completed the update for XPU.
While <https://github.com/vllm-project/vllm/pull/16859> updated vLLM to PyTorch 2.7.0 on CPU, CUDA, and ROCm,
<https://github.com/vllm-project/vllm/pull/17444> completed the update for XPU.