For development of deep learning models with PyTorch e.g. image classification, object detection and so forth, what works best for your local development machine:
- Which operating system?
- Which GPU?
- Anaconda, pip or nothing?
- Anything else to consider?
Would love to hear what you're using :)
Top comments (6)
Not using pytorch but currently:
For quick and dirty solutions, I like to use google colab!
Thanks for letting me know!
I am keen to try out WSL 2 with deep learning. Do you see any major performance slow downs compared to native Linux?
I haven't tried any particular benchmarking, but I would expect a small performance dip due to the tb3 bandwidth limit
I really prefer pytorch over tensorflow
Thanks for sharing!
Arch has always seemed very mysterious to me, but I will definitely give it a go!
I have found conda to be quite bloated and cumbersome, especially on Windows. Pip is very straightforward.
Yes, pip is very simple compared to conda. I thought the same about Arch, but the installation was super easy thanks to the documentation it has. I used fedora before, but it always caused me problems when installing nvidia, it was a pain. Moreover I love the fact that Arch has a rolling release.