Submitted by AbCi16 t3_10rcty9 in deeplearning
I am new to deep learning. Till now I was mostly doing stuff on Kaggle. But now I am planning to to do stuff on Jupyter via GPU. But I have no idea how to do it. I read somewhere that I need Docker to do it. But I have never used Docker before. Should I install Docker Desktop or is their any other way to set it up?
> Being able to use the GPU doesn’t have anything to do with Jupyter.
It's certainly not required....
.. but Nvidia makes it extremely convenient through the notebooks they provide:
https://catalog.ngc.nvidia.com/resources
>> The NGC catalog offers step-by-step instructions and scripts through Jupyter Notebooks for various use cases, including machine learning, computer vision, and conversational AI. These resources help you examine, understand, customize, test, and build AI faster, while taking advantage of best practices.
Last I checked for tensorflow-gpu conda install didn’t install the correct cuda version for some reason and it was annoying to roll back and then reinstall correct cuda and cudnn versions. PyTorch is fking clean tho.
You do not need docker. Open a notebook, import torch or tensorflow, check if GPU is available. If true, profit. If false, you have python/framework/CUDA problems.
Command to check gpu availability?
Google it
👍
import torch
torch.cuda.is_available()
If you have Nvidia with CUDA toolkit installed run nvidia-smi and you'll have your answer
Do u have a discrete gpu ?
Yes
Windows or Linux ?
Edit : or m1
Your discrete should be CUDA capable. Anything above GTX 1050 is CUDA capable. You can check the list of CUDA capable NVIDIA GPUs on their website
It's RTX 2080 Super
Yeah it’s CUDA capable! RTX is much better than GTX for deep learning, and 2080 super is powerful! I did plenty of deep learning on my laptop using 1050ti using PyTorch. If you need any help, we can connect and help you out on Zoom call. It won’t take more than 20-30 mins.
Ok. I will need some help, though. As I have never done it on discrete GPU before.
Sure, let me know!
What other Python packages do I need to install ? Sometimes I get a warning about not having Tensorrt, then when I install it shows version 0.0.1 but apparently it's at version 8 ? There is a guide on nvidias website with some snippets of code but I don't fully understand.
I have already install TensorFlow and Keras.
FastestLearner t1_j6v8nsz wrote
Being able to use the GPU doesn’t have anything to do with Jupyter. It’s the packages (TensorFlow, PyTorch, etc.) that must be installed with CUDA support and also you must have the correct drivers installed. My recommendation would be simply use a conda environment, which automatically installs the correct CUDA packages during a PyTorch install or a Tensorflow install.