ComfyUI 中出现 "Compile with TORCH_USE_CUDA_DSA to enable device-side assertions" 错误通常与 PyTorch 和 CUDA 的配置有关,而不是直接与 ComfyUI 相关。 这个错误提示通常出现在使用 PyTorch 进行深度学习训练时,尤其是在涉及到 GPU 加速的情况下。TORCH_USE_CUDA_DSA 是一个环境变量,用于在编译 PyTorch ...
192.168.37.6: For debugging consider passing CUDA_LAUNCH_BLOCKING=1. 192.168.37.6: Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. export TORCH_USE_CUDA_DSA=1 以上train在V100-32GB*16,大概率显存不足。 发布于 2024-01-14 13:51・广东...
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. Traceback (most recent call last): File "/home/ma-user/work/pretrain/peft-baichuan2-13b-1/train.py", line 285, in <module> main() File "/home/ma-user/work/pretrain/peft-baichuan2-13b-1/train.py", line 268, ...
RuntimeError: CUDA error: out of memory; Compile with TORCH_USE_CUDA_DSA to enable device-side assertions For my case, I did upgrade NVIDIA drivers to 5.30 version from 5.25 that cause this problem. So, the solution is to downgrade my NVIDIA drivers back to 5.25 version and using the la...
[rank0]: return t.to( [rank0]: ^^^ [rank0]: RuntimeError: CUDA error: out of memory [rank0]: Compile withTORCH_USE_CUDA_DSAto enable device-side assertions.
nitialization error CUDA kernel errors CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA`,x传入的不是list,而是tensor。原因是pytorch。改成list就没有这个问题。
RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. ...
Compilewith`TORCH_USE_CUDA_DSA`toenable device-sideassertions. 参考地址:https://www.codetd.com/ru/article/14935168 默认使用0号GPU,但是0号GPU已经被占用了,所以要在代码中修改默认GPU编号,此修改要在import torch之前 importosos.environ["CUDA_VISIBLE_DEVICES"] ='1'...
Compile withTORCH_USE_CUDA_DSAto enable device-side assertions. 2024-03-29 18:28:51,875 xinference.api.restful_api 8 ERROR [address=0.0.0.0:43266, pid=897] CUDA error: invalid argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might...
RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile withTORCH_USE_CUDA_DSAto enable device-side assertions. ...