banding_removal/fastmri/orientation_adversary/adversary_mixin.py (2 lines):
	- line 64: TODO: I need to make this more generic and reusable
	- line 151: prediction_reorien_adv.requires_grad_() #TODO Might not be required


fastmri/models/varnet.py (1 line):
	- line 91: # TODO: fix this type when PyTorch fixes theirs


banding_removal/fastmri/distributed_mixin.py (1 line):
	- line 117: #TODO: try delay_allreduce=True


banding_removal/fastmri/data/transforms.py (1 line):
	- line 534: shift = [(dim + 1) // 2 for dim in x.shape] #TODO: looks wrong