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.
i have to use the --profile-child-processes option to get the profile to work on windows.
I get no outputs using nvprof. No matter if I give arguments or not.
Doesn't work with .exe file build with VS2019, nor using nvprof python program.py.
Can you please help?
On Mac, nvvp prof.nvvp doesn't work.
An absolute path (instead of a relative path like "prof.nvvp") has to be provided.
My recommendation to anyone who wants to install nvvp on an up-to-date Mac (catalina) is not to even try.
Firstly you have to disable gatekeeper:
sudo spctl --master-disable
but then after you download nvvp it won't run because it wants an outdated java runtime (JRE) that's hard to get or install.
I still haven't figured it out.
Currently I'm trying to figure out how to do this, but it looks like it's very very painful.
Thanks man! Great help
PDD XBJ GOD, YYDS
Hello, do you know how to see GPU utilization with nvvp? I only see the duration of a function. But I want to also see the percentage of GPU utilization during a function.