cuda version issue

[rajayarli]

Hi, I am using Google Collab's v100gpu as my run time also, when I try to run the code I face the below error: issue 1: version problem

the versions that you specified were not compatible with the Cuda version and torch py of the collab I tried to download the matching version but it still says bfloat16 does not support the Cuda. I even tried to use float16 instead of that still it is still persistent.

issue 2: dataset specific problem There are a lot of troubles I faced like the dataset complexity which with only a few buildings with more than 250 GB of space.

I even tried to run them with a few buildings like this: still, I am unable to run that always getting the index out of bounds, also I am unaware of the usage of semseg_classes. do we need to modify if we are using fewer buildings?

issue 3: will this approach work? Right now I am trying to download the data set individually like rgb with all buildings and I will copy 10 images per building to save space. and download the rest of the buildings externally using wget since the omni dataset is ignoring some buildings I just want to ask for your help and guidance if possible.