How to bypass usage of mask and get full rendered image in evaluation

[InduCherukuri]

          I have a couple of questions regarding the usage of mask:

1. Is it used to reduce the memory load?
2. How do I bypass this and get the fully rendered image in evaluation instead of masked output?

I have changed the mask at, multiple places and I'm unable to bypass it. I have also changed nerf_model.py to give full output by adding the following line
mask_pts = torch.where(mask_pts==True, False, False)
but I'm getting an error

Originally posted by @InduCherukuri in #1 (comment)