[Core] manage nccl via a pypi package & upgrade to pt 2.2.1 #3805
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youkaichao
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youkaichao
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WoosukKwon
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Apr 4, 2024
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@youkaichao Awesome! Thanks for the great work! ! I didn't realize that updating PyTorch could be this challenging. Left minor comments. Please check them out.
| @@ -17,3 +17,4 @@ pynvml == 11.5.0 | |||
| triton >= 2.1.0 | |||
| outlines == 0.0.34 | |||
| tiktoken == 0.6.0 # Required for DBRX tokenizer | |||
| vllm-nccl-cu12>=2.18<2.19 # for downloading nccl library | |||
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Can we do this?
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| vllm-nccl-cu12>=2.18<2.19 # for downloading nccl library | |
| vllm-nccl-cu12>=2.18.3<2.19 # for downloading nccl library |
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Fun fact: actually I have https://pypi.org/project/vllm-nccl-cu12/2.18.1.0.1.0/ , which is nccl 2.18.1 . I don't find nccl 2.18.3 at https://developer.download.nvidia.com/compute/redist/nccl/ .
WoosukKwon
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WoosukKwon
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See #3802 for why we don't use another pypi packge to manage nccl .
See NVIDIA/nccl#1234 on why we have to manage nccl when upgrading to pt 2.2.1 .
Usage: