> way to reproduce your environment
can't you use docker?
also, from my pile of links:
https://docs.nvidia.com/deeplearning/frameworks/pytorch-rele...
can't you use docker?
also, from my pile of links:
https://docs.nvidia.com/deeplearning/frameworks/pytorch-rele...
Especially since I don't work on a fixed project for very long and am constantly installing new dependencies, using different data, etc.
Not to mention I've found adding a layer of virtualization can break some already fragile libraries (e.g., I'd be concerned about multi-GPU training over NVLink).