[pkage]

Same here. I started my PhD with the full intention of doing most of my research with Julia (via Flux[0]), and while things worked well enough there were a few things which made it challenging:

- Lack of multi-GPU support,

- some other weird bugs related to autograd which i never fully figured out,

- and the killer one: none of my coauthors used Julia, so I decided to just go with PyTorch.

PyTorch has been just fine, and it's nice to not have to reinvent to wheel for every new model architecture.

[0] https://fluxml.ai/

[samsartor]

This was exactly my experience too

[xiaodai]

yeah. unless Julia has some killer framework with massive investment, it's hard to see 99.99% of cases moving to Julia. No point really.