(0.8s) Package operations: 1 install, 0 updates, 0 removals - Installing flash-attn (2.5.8): Failed ChefBuildError Backend subprocess exited when trying to invoke get_requires_for_build_wheel Traceback (most recent call last): File "/home/ubuntu/.local/share/pipx/venvs/poetry/lib/python3...
遇到ModuleNotFoundError: No module named 'flash_attn.flash_attention' 错误时,通常意味着 Python 环境中未安装名为 flash_attn 的包,或者该包中不存在 flash_attention 模块。以下是一些解决此问题的步骤: 确认'flash_attn.flash_attention' 模块的存在: 首先,需要确认 flash_attn 包及其 flash_attention 模块...
Thanks for your brilliant work! I ran into a problem and wonder whether you could help. I tried run_mistral.sh and encountered an error of flash_attn_with_score. For my understanding, it might be a flash_attn variant that outputs the att...
and the import of flash_attn also failed >>> import flash_attn Traceback (most recent call last): File"<stdin>", line 1,in<module>ModuleNotFoundError: No module named'flash_attn' DefTruthcommentedMar 11, 2024• edited DefTruthclosed this ascompletedMar 11, 2024...
Can you try withpip install --no-build-isolation flash-attn? This code is written as a Pytorch extension so we need Pytorch to compile. Well, taking a long time this way so it seems like it at least start actual compilation. I will write update with a final status later. ...
The text was updated successfully, but these errors were encountered: nero-dvcommentedMay 3, 2024 add results of the following txt file after piping results to file: pip freeze>out.txtecho$PATH>path.txt and uname -a It seems that there is noflash_attn.flash_attentionmodule after flash-attn...
project(vllm_flash_attn LANGUAGES CXX) set(CMAKE_CXX_STANDARD 17) set(CMAKE_CXX_EXTENSIONS OFF) # CUDA by default, can be overridden by using -DVLLM_TARGET_DEVICE=... (used by setup.py) set(VLLM_TARGET_DEVICE "cuda" CACHE STRING "Target device backend for vLLM") message(STATUS "...
return self.attn(q, k, v, softmax_n_param=0.) class SlowAttention(torch.nn.Module): def __init__(self): super().__init__() def forward(self, q, k, v): return slow_attention_n(q, k, v, softmax_n_param=0.) @policy_registry.register(SlowAttention) def slow_attention_c...