Usually, located at /usr/local/cuda/bin
$ nvprof python train_mnist.py
I prefer to use --print-gpu-trace.
$ nvprof --print-gpu-trace python train_mnist.py
On GPU machine, run
$ nvprof -o prof.nvvp python train_mnist.py
Copy prof.nvvp
into your local machine
$ scp your_gpu_machine:/path/to/prof.nvvp .
Then, run nvvp (nvidia visual profiler) on your local machine:
$ nvvp prof.nvvp
It works more comfortably than X11 forwarding or something.
@jrevels, Thank you!
There are also problems with the installation of the Cuda toolkit on Catalina. It can be solved by adding a link /Developer to any place. To do it on Catalina you need to add a line
Developer /Users/userName
to file
/etc/synthetic.conf
: like it is written here.