Could you try building a custom environment via the YAML file option, using something like this (below is just an example file that works for me, you can add remove packages specific to your use case)
name: torch
channels:
- pytorch
dependencies:
- python=3.9
- pip
- pip:
- ipywidgets
- conda
- conda:
- ipykernel
- pytorch
- torchvision
- torchaudio
- torchserve
- cudatoolkit=11.3
- sklearn
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.