[Docs] Reduce custom syntax used in docs (#27009)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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@@ -64,7 +64,7 @@ Download the full log file from Buildkite locally.
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Strip timestamps and colorization:
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<gh-file:.buildkite/scripts/ci-clean-log.sh>
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[.buildkite/scripts/ci-clean-log.sh](../../../.buildkite/scripts/ci-clean-log.sh)
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```bash
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./ci-clean-log.sh ci.log
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@@ -87,7 +87,7 @@ tail -525 ci_build.log | wl-copy
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CI test failures may be flaky. Use a bash loop to run repeatedly:
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<gh-file:.buildkite/scripts/rerun-test.sh>
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[.buildkite/scripts/rerun-test.sh](../../../.buildkite/scripts/rerun-test.sh)
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```bash
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./rerun-test.sh tests/v1/engine/test_engine_core_client.py::test_kv_cache_events[True-tcp]
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@@ -5,7 +5,7 @@ release in CI/CD. It is standard practice to submit a PR to update the
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PyTorch version as early as possible when a new [PyTorch stable
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release](https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-cadence) becomes available.
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This process is non-trivial due to the gap between PyTorch
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releases. Using <gh-pr:16859> as an example, this document outlines common steps to achieve this
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releases. Using <https://github.com/vllm-project/vllm/pull/16859> as an example, this document outlines common steps to achieve this
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update along with a list of potential issues and how to address them.
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## Test PyTorch release candidates (RCs)
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@@ -85,7 +85,7 @@ and timeout. Additionally, since vLLM's fastcheck pipeline runs in read-only mod
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it doesn't populate the cache, so re-running it to warm up the cache
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is ineffective.
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While ongoing efforts like [#17419](gh-issue:17419)
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While ongoing efforts like <https://github.com/vllm-project/vllm/issues/17419>
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address the long build time at its source, the current workaround is to set `VLLM_CI_BRANCH`
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to a custom branch provided by @khluu (`VLLM_CI_BRANCH=khluu/use_postmerge_q`)
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when manually triggering a build on Buildkite. This branch accomplishes two things:
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@@ -138,5 +138,5 @@ to handle some platforms separately. The separation of requirements and Dockerfi
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for different platforms in vLLM CI/CD allows us to selectively choose
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which platforms to update. For instance, updating XPU requires the corresponding
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release from [Intel Extension for PyTorch](https://github.com/intel/intel-extension-for-pytorch) by Intel.
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While <gh-pr:16859> updated vLLM to PyTorch 2.7.0 on CPU, CUDA, and ROCm,
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<gh-pr:17444> completed the update for XPU.
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While <https://github.com/vllm-project/vllm/pull/16859> updated vLLM to PyTorch 2.7.0 on CPU, CUDA, and ROCm,
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<https://github.com/vllm-project/vllm/pull/17444> completed the update for XPU.
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