1. 解释torch_use_cuda_dsa的含义 torch_use_cuda_dsa 是PyTorch 中的一个编译选项,用于启用设备端断言(Device-Side Assertions)。设备端断言是一种调试工具,可以在 CUDA 操作的运行时检查操作是否按预期执行。如果发现错误,它会立即停止操作并提供详细的错误信息,从而帮助开发者快速定位问题。 2. 描述如何设置torch...
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: invalid device ordinal 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. Any ...
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。
export CUDA_LAUNCH_BLOCKING=1```然后再运行你的程序。2. 编译PyTorch时,使用`TORCH_USE_CUDA_DSA`选项,这会启用设备端断言(device-side assertions),有助于定位CUDA内核中的错误。重新编译PyTorch时,可以这样设置:```bashTORCH_USE_CUDA_DSA=1 python setup.py install```通过这两个方法,你可以更准确地定位...
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'...
RuntimeError: CUDA error: no kernel image is available for execution on the device Compile with to enable device-side assertions.TORCH_USE_CUDA_DSA my CPU:2666v3 memory:DDR3 ECC 32G 1866hz GPU:4060ti 16g and M40 24g I think I found out how to force it to support 5.2 GPU,cc_flag.ap...