[vLLM] Remove xformers in vLLM build workflow#169914
[vLLM] Remove xformers in vLLM build workflow#169914huydhn wants to merge 1 commit intopytorch:mainfrom
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Signed-off-by: Huy Do <huydhn@gmail.com>
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/169914
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 00fd789 with merge base e701379 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@pytorchbot merge -f 'vLLM tests are passing, there is an existing broken trunk failure' |
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This is not needed anymore after vllm-project/vllm#29262. So, we only need to build vLLM wheel on PyTorch CI now. 1. vllm-project/vllm#29262 has removed xformers from vLLM, and this PR applies that change to our end 2. This vLLM nightly wheel will be used to power nightly benchmark runs on PyTorch CI. It's good that we just need to rebuild vLLM now and none of its dependencies 3. I'm trying to get rid of the Dockerfile on PyTorch eventually, and just use the official one from vLLM instead. This is a work in progress Pull Request resolved: pytorch#169914 Approved by: https://github.com/zou3519
This is not needed anymore after vllm-project/vllm#29262. So, we only need to build vLLM wheel on PyTorch CI now. 1. vllm-project/vllm#29262 has removed xformers from vLLM, and this PR applies that change to our end 2. This vLLM nightly wheel will be used to power nightly benchmark runs on PyTorch CI. It's good that we just need to rebuild vLLM now and none of its dependencies 3. I'm trying to get rid of the Dockerfile on PyTorch eventually, and just use the official one from vLLM instead. This is a work in progress Pull Request resolved: pytorch#169914 Approved by: https://github.com/zou3519
This is not needed anymore after vllm-project/vllm#29262. So, we only need to build vLLM wheel on PyTorch CI now.
xformersvllm-project/vllm#29262 has removed xformers from vLLM, and this PR applies that change to our end