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How to use NVIDIA profiler

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nvvp.md

Usually, located at /usr/local/cuda/bin

Non-Visual Profiler

$ nvprof python train_mnist.py

I prefer to use --print-gpu-trace.

$ nvprof --print-gpu-trace python train_mnist.py

Visual Profiler

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.

hudannag commented Apr 20, 2020

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?

hitvoice commented Apr 22, 2020

On Mac, nvvp prof.nvvp doesn't work.
An absolute path (instead of a relative path like "prof.nvvp") has to be provided.

danpovey commented Nov 16, 2020

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but then after you download nvvp it won't run because it wants an outdated java runtime (JRE) that's hard to get or install.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.