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nvprof is using all available GPU's when profiling python script

stackoverflow.com › questions › 43257296 › nvprof-is-using-all-available-gpus-when-profiling-python-script

As you have pointed out, you can use CUDA profilers to profile python codes simply by having the profiler run the python interpreter, running your script:

nvprof python ./myscript.py

Regarding the GPUs being used, the CUDA environment variable CUDA_VISIBLE_DEVICES can be used to restrict the CUDA runtime API to use only certain GPUs. You can try it like this:

CUDA_VISIBLE_DEVICES="0" nvprof --profile-child-processes python ./myscript.py

Also, nvprof is documented and also has command line help via nvprof --help. Looking at the command-line help, I see a --devices switch which appears to limit at least some functions to use only particular GPUs. You could try it with:

nvprof --devices 0 --profile-child-processes python ./myscript.py

For newer GPUs, nvprof may not be the best profiler choice. You should be able to use nsight systems in a similar fashion, for example via:

nsys profile --stats=true python ....

Additional "newer" profiler resources are linked here.

Mit-satori

mit-satori.github.io › tutorial-examples › nvprof-profiling › index.html

Profiling code with nvprof — MIT Satori User Documentation documentation

The nvprof tool from NVidia can be used to create detailed profiles of where codes are spending time and what resources they are using. It can work for compiled CUDA code and for Python libraries.

GitHub

gist.github.com › sonots › 5abc0bccec2010ac69ff74788b265086

How to use NVIDIA profiler - Gist - GitHub

$ nvprof --print-gpu-trace python train_mnist.py --network mlp --num-epochs 1 INFO:root:start with arguments Namespace(add_stn=False, batch_size=64, disp_batches=100, dtype='float32', gc_threshold=0.5, gc_type='none', gpus=None, kv_store='device', load_epoch=None, lr=0.05, lr_factor=0.1, lr_step_epochs='10', model_prefix=None, mom=0.9, monitor=0, network='mlp', num_classes=10, num_epochs=1, num_examples=60000, num_layers=None, optimizer='sgd', test_io=0, top_k=0, wd=0.0001) ==27259== NVPROF is profiling process 27259, command: python train_mnist.py --network mlp --num-epochs 1 INFO:root:Epoch[

Discussions

cuda - nvprof is using all available GPU's when profiling python script - Stack Overflow

I am using a remote machine, which has 2 GPU's, in order to execute a Python script which has CUDA code. In order to find where I can improve the performance of my code, I am trying to use nvprof. ... More on stackoverflow.com

stackoverflow.com

Nvprof python.exe pytorch code

nprof works to profile C++ CUDA executable, but not python with Pytorch code: python -c “import torch; torch.randperm(10, device=‘cuda’)” ======== Warning: No CUDA application was profiled, exiting According to How do I know randperm is performed on GPU - #2 by ptrblck - C++ - PyTorch ... More on forums.developer.nvidia.com

forums.developer.nvidia.com

August 14, 2023

using nvprof with pycuda?

See the penultimate slide. https://github.com/mit-satori/getting-started/blob/master/tutorial-examples/nvprof-profiling/Satori_NVProf_Intro.pdf

Top answer

1 of 1

As you have pointed out, you can use CUDA profilers to profile python codes simply by having the profiler run the python interpreter, running your script:

nvprof python ./myscript.py

Regarding the GPUs being used, the CUDA environment variable CUDA_VISIBLE_DEVICES can be used to restrict the CUDA runtime API to use only certain GPUs. You can try it like this:

CUDA_VISIBLE_DEVICES="0" nvprof --profile-child-processes python ./myscript.py

nvprof --devices 0 --profile-child-processes python ./myscript.py

For newer GPUs, nvprof may not be the best profiler choice. You should be able to use nsight systems in a similar fashion, for example via:

nsys profile --stats=true python ....

Additional "newer" profiler resources are linked here.

NVIDIA Developer Forums

forums.developer.nvidia.com › developer tools › other tools › visual profiler and nvprof

Nvprof python.exe pytorch code - Visual Profiler and nvprof - NVIDIA Developer Forums

August 14, 2023 - nprof works to profile C++ CUDA executable, but not python with Pytorch code: python -c “import torch; torch.randperm(10, device=‘cuda’)” ======== Warning: No CUDA application was profiled, exiting According to How do I know randperm is performed on GPU - #2 by ptrblck - C++ - PyTorch Forums it should work.

Packtpub

subscription.packtpub.com › book › game-development › 9781788993913 › 6 › ch06lvl1sec42 › using-the-nvidia-nvprof-profiler-and-visual-profiler

Debugging and Profiling Your CUDA Code | Hands-On GPU Programming with Python and CUDA

We can do a basic profiling of a binary executable program with the nvprof program command; we can likewise profile a Python script by using the python command as the first argument, and the script as the second as follows: nvprof python program.py.

Vincent-lunot

vincent-lunot.com › post › an-introduction-to-cuda-in-python-part-4

An introduction to CUDA in Python (Part 4) - Vincent's Blog

December 4, 2017 - For python files, nvprof can be launched the following way: nvprof python filename.py This command executes the default mode of nvprof that is the summary mode.

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GitHub

gist.github.com › mcarilli › 213a4e698e4a0ae2234ddee56f4f3f95

Single- and multiprocess profiling workflow with nvprof and NVVP (Nsight Systems coming soon...) · GitHub

nvprof --profile-from-start off -fo %p.nvprof python main_amp.py -a resnet50 --b 224 --prof 20 --deterministic --workers 4 --opt-level O1 ./bare_metal_train_val/

CodeGenes

codegenes.net › blog › nvprof-pytorch

In-Depth Guide to Using nvprof with PyTorch — codegenes.net

To profile a PyTorch script using nvprof, you can simply prefix your Python command with nvprof.

GitHub

github.com › NVIDIA › PyProf

GitHub - NVIDIA/PyProf: A GPU performance profiling tool for PyTorch models · GitHub

June 30, 2021 - A GPU performance profiling tool for PyTorch models - NVIDIA/PyProf

Starred by 511 users

Forked by 50 users

Languages Python 95.8% | Shell 3.6% | Dockerfile 0.6%

Fbpic

fbpic.github.io › advanced › profiling.html

Profiling the code — FBPIC 0.27.0 documentation

nvprof --log-file gpu.log python -m cProfile -s time fbpic_script.py > cpu.log

reddit.com › r/cuda › using nvprof with pycuda?

r/CUDA on Reddit: using nvprof with pycuda?

July 7, 2020 -

Does anyone know how to profile pycuda scripts using command line tool nvprof?

Thanks!

Top answer

1 of 2

See the penultimate slide. https://github.com/mit-satori/getting-started/blob/master/tutorial-examples/nvprof-profiling/Satori_NVProf_Intro.pdf

2 of 2

It should work in the same way like normal programs: nvprof python [options] ./my_scrip.py.

There exist some wrapper around the library functions if you don't want to profile the whole program

GitHub

github.com › rossumai › nvprof-tools › blob › master › docs › info.md

nvprof-tools/docs/info.md at master · rossumai/nvprof-tools

September 18, 2024 - Python tools for NVIDIA Profiler. Contribute to rossumai/nvprof-tools development by creating an account on GitHub.

Author rossumai

Libraries.io

libraries.io › pypi › nvprof

nvprof 0.2 on PyPI - Libraries.io - security & maintenance data for open source software

November 13, 2017 - Homepage PyPI Python · License · MIT · Install · pip install nvprof==0.2 · Tools to help working with nvprof SQLite files, specifically for profiling scripts to train deep learning models.

CSC

docs.csc.fi › computing › nvprof

nvprof: CUDA profiler - Docs CSC

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GitHub

github.com › NVIDIA › PyProf › blob › main › docs › profile.rst

PyProf/docs/profile.rst at main · NVIDIA/PyProf

$ nvprof -f # Overwrite existing file -o net.sql # Create net.sql python net.py

Author NVIDIA

Numba

numba.pydata.org › numba-doc › dev › cuda › faq.html

CUDA Frequently Asked Questions — Numba 0.52.0.dev0+274.g626b40e-py3.7-linux-x86_64.egg documentation

When using the nvprof tool to profile Numba jitted code for the CUDA target, the output contains No kernels were profiled but there are clearly running kernels present, what is going on?

NVIDIA Developer Forums

forums.developer.nvidia.com › ai & data science › deep learning (training & inference) › cudnn

Calling nvprof from a pythoon code - cuDNN - NVIDIA Developer Forums

January 26, 2019 - I want to turn on the nvprof inside a python code. The code looks like for batch, i in enumerate(range(0, train_data.size(0) - 1, args.bptt)): data, targets = get_batch(train_data, i) hidden = repackage_…