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[TPU] support disabling xla compilation cache #15567
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Signed-off-by: Chengji Yao <chengjiyao@google.com>
👋 Hi! Thank you for contributing to the vLLM project. 💬 Join our developer Slack at https://slack.vllm.ai to discuss your PR in #pr-reviews, coordinate on features in #feat- channels, or join special interest groups in #sig- channels. Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging. To run CI, PR reviewers can either: Add 🚀 |
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Good catch @yaochengji !
Signed-off-by: Chengji Yao <chengjiyao@google.com>
Signed-off-by: Chengji Yao <chengjiyao@google.com> Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
Signed-off-by: Chengji Yao <chengjiyao@google.com> Signed-off-by: xinyuxiao <xinyuxiao2024@gmail.com>
Signed-off-by: Chengji Yao <chengjiyao@google.com> Signed-off-by: Louis Ulmer <ulmerlouis@gmail.com>
Signed-off-by: Chengji Yao <chengjiyao@google.com>
The PyTorch/XLA compilation cache uses the Torch IR to generate keys. Consequently, changes in optimization flags, which affect compilation results, don't change the cache key. This can result in the wrong compilation being used. To prevent this, disabling the XLA compilation cache during development is recommended. We can disable it by
export VLLM_XLA_CACHE_PATH=