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[GH-ISSUE #96] Error Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. #52
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Originally created by @drrros on GitHub (Oct 2, 2024).
Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/96
I'm trying to run a DeepSeek-V2.5 model.
Command used:
python -m ktransformers.local_chat --model_path ./DeepSeek-V2.5/ --gguf_path ../I've tried with both ktransformers.local_chat and web interface mode, with and without --optimize_config_path option. Model loads but when first iteraction occurs it fails with this traceback. Other backends (koboldcpp and llama.cpp) runs fine.
Server specs: 200Gb ram, dual P40.
@drrros commented on GitHub (Oct 2, 2024):
This is full logs in API mode:
versions:
@Chain-Mao commented on GitHub (Oct 9, 2024):
I have the same problem, did you have solved it?
@drrros commented on GitHub (Oct 9, 2024):
No. Tried different versions of torch, but it did not solve the issue. What GPUs are you using? Mine are P40's.
@Chain-Mao commented on GitHub (Oct 10, 2024):
My gpu is V100, maybe I find the reason, the V100 device use vlota architecture,this problem lead to I can't use flash-atten normally,so most of this project is incompatible.
@UnicornChan commented on GitHub (Oct 25, 2024):
Sorry, we use the Marlin operator to calculate the layer on the GPU. It requires Compute Capability 8.0 or above to run. However, the Compute Capability of P40 is 6.1, so it cannot run. Maybe you can run it by removing the Marlin operator. @Azure-Tang Maybe you can show how to remove Marlin?
@buliaoyin commented on GitHub (Feb 11, 2025):
Same issue with 2080Ti, any solution to support GPU lower than 8.0?
@MrYang-Jia commented on GitHub (Feb 15, 2025):
Oh my, me too.
Same issue with 2080Ti,this Capability is 7.5
@newstargo commented on GitHub (Feb 16, 2025):
+1
@Azure-Tang commented on GitHub (Feb 17, 2025):
For those who don't have ampere gpu, plz refer to #150
@gobirdiego commented on GitHub (Feb 22, 2025):
我也有同样的问题,解决方案是,flash-attn 有两个版本。在确认cu、cp、torch匹配的同时,文件名还有个true和false的不同。选对就通过了
@CloudWise-Lukemiao commented on GitHub (Feb 28, 2025):
该怎么修改呢或者选择呢?
@gtzhao34 commented on GitHub (Mar 9, 2025):
How come I use A800 and still have similar problems. I tried deepseek-v2-lite-chat. I can fix this by replacing all the "KLinearMarlin" by "KLinearTorch", but I think A800 is supposed to be able to support marlin kernel.