I am very confused by the different CUDA versions shown by running which nvcc and nvidia-smi. I have both cuda9.2 and cuda10 installed on my ubuntu 16.04. Now I set the PATH to point to cuda9.2. So...
When I run "nvcc --version" in the CMD it gives the version but in the VS code, it says 'nvcc' is not recognized as an internal or external command. My guess is this is something to do with environment variables but don't know how to fix this.
cuda - 'nvcc' is not recognized by VS code terminal but works in the ...
I installed cuda sdk 5.0 to /opt and even compiled all examples, but I can't execute nvcc. Here is some console output: I'm using linux mint 13.
I have installed cuda along pytorch with conda install pytorch torchvision cudatoolkit=10.0 -c pytorch However, it seems like nvcc was not installed along with it. If I want to use for example nvc...
Most of the time, nvcc and other CUDA SDK binaries are not in the environment variable PATH. Check the installation path of CUDA; if it is installed under /usr/local/cuda, add its bin folder to the PATH variable in your ~/.bashrc:
pytorch - nvcc not found but cuda runs fine? - Stack Overflow
I have just installed Debian Stretch (9) and Cuda 8 on a new GPU server. Stretch does not come with older versions of gcc, so I need to use clang as the host compiler (nvcc does not support gcc-6)....
Some related questions/answers are here and here. I am still not sure how to properly specify the architectures for code generation when building with nvcc. A complete description is somewhat complicated, but there are intended to be relatively simple, easy-to-remember canonical usages. Compile for the architecture (both virtual and real), that represents the GPUs you wish to target. A fairly ...