Up until 
        
          
        
        July 29, 2020 (Tokyo)
      , compatibility issues:
I want to use torchvision.models.detection.maskrcnn_resnet50_fpn()  with argument trainable_backbone_layers which is only available in v1.6 (latest version).
Minimum cuda compatibility for v1.6 is cuda >= 10.2 but google colab has default cuda=10.1 installed. If I upgrade cuda to the latest version which is 11.0 then I experience issues with mxnet library.
How can I solve this issue?
If somehow I able to run cuda = 11.0 without having issues with mxnet then do I have to install these packages every time I start my google colab notebook? isn’t there a way to do this step only once?
P.S: Default torch version in google colab is v=1.5 so I have to install latest one also everytime.