Closed derekahuang closed 2 years ago
Environment:
How much memory does your system have? I believe the most common cause of the signal 9 (Kill signal) in programs is running out of memory (nvcc error : 'cicc' died due to signal 9 (Kill signal)
), unless you manually killed the install
Hi, I also encountered the same problem, could you tell me how you solved it.
@XiaoqiWang do you have the full stack trace?
Thanks for the fast reply. I just tried to install Visual Studio, and the following error was reported. error: command 'C:\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.4\\bin\\\nvcc.exe' failed with exit code 2
My device is NVIDIA 3090(CUDA driver 11.4, python3.9, )
isotonic_cuda.cu
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4\include\crt/host_config.h(160): fatal error C1189: #error: -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2019 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk.
error: command 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.4\\bin\\nvcc.exe' failed with exit code 2```
Here is my error code:
Has anybody else experienced this before? The full command I am running is:
TORCH_CUDA_ARCH_LIST="Pascal;Volta;Turing;Ampere" pip3 install --user torchsort