I have a CG-generated dataset containing correct poses and depth range, exactly like Blender dataset. I used it to train a NeRF sucessfully by NeRF-pytorch code, but I failed to use it to train a NeRF by torch-ngp.

I think it may be due to my wrong setting of "bound" & "scale" for this scene. So do you have any tips on how to tune "bound" & "scale" for a new scene?