Comments (2)
This version of the combination worked.
- python: 3.7.10
- pytorch: 1.8.0+cu111
- torchvision: 0.9.0+cu11
If you are working on Colab, you can downgrade with the following command.
!pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html
And then, I realized. At least, the following lines have a bug that judges torchvision version as 0.1 when it is 0.10.
https://github.com/mlpc-ucsd/LETR/blob/master/src/util/misc.py#L21
if float(torchvision.__version__[:3]) < 0.7:
from letr.
Thank you for your input. This is the behavior for version '0.10'. A simple tweak solved it, but a lot of other problems emerged. I'll try addressing this myself, and then, maybe, returning a PR.
if float(torchvision.__version__[:3]) < 0.7:
returns
'0.1'
from letr.
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from letr.