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Add CUDA graph-based all reduce launcher #26
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LGTM!
self.group = get_tensor_model_parallel_group() | ||
self.buffer = torch.empty( | ||
size=(max_num_tokens, hidden_size), | ||
dtype=torch.half, # FIXME: hardcoded dtype |
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Add a dtype argument for this class?
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Fixed!
Disable NPU merged to OV master recently
Install and configure use of the NCCL version recommended by vLLM via the [vllm-nccl](https://github.com/vllm-project/vllm-nccl) package. The install is a little wonky... but this set of changes should work. Signed-off-by: Travis Johnson <[email protected]>
deps: bump fastapi to >= 0.109.1
Update max_context_len for custom paged attention.
…c466a3 Rebase habana_main up to cc466a3
…inear_fusion_and_prepack Enable linear fusion/prepack and MOE AWQ fusion
Related to #22
This PR uses CUDA graph to reduce the CPU overhead of NCCL all reduce operation.