mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-11 18:44:21 +08:00
Ethan Weber
676beebb14
* some initial cuda code as I learn. using git to save progress. * first cuda kernel for ray sampling that mostly works * cleaning up code. working on lr. structs for scene bounds aabb * added scene bounds collider code * updated setup * setup * setup * black * including some files * exporting env variable * new file * git workflows * github actions * github actions * github actions * removing env var
54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
"""
|
|
Miscellaneous helper code.
|
|
"""
|
|
|
|
import torch
|
|
|
|
|
|
class DotDict(dict):
|
|
"""
|
|
dot.notation access to dictionary attributes
|
|
"""
|
|
|
|
def __getattr__(self, attr):
|
|
return self[attr]
|
|
|
|
__setattr__ = dict.__setitem__
|
|
__delattr__ = dict.__delitem__
|
|
|
|
|
|
def get_dict_to_torch(stuff, device="cpu"):
|
|
"""Set everything in the dict to the specified torch device."""
|
|
if isinstance(stuff, dict):
|
|
for k, v in stuff.items():
|
|
stuff[k] = get_dict_to_torch(v, device)
|
|
return stuff
|
|
if isinstance(stuff, torch.Tensor):
|
|
return stuff.to(device)
|
|
return stuff
|
|
|
|
|
|
def get_dict_to_cpu(stuff):
|
|
"""Set everything in the dict to CPU."""
|
|
if isinstance(stuff, dict):
|
|
for k, v in stuff.items():
|
|
stuff[k] = get_dict_to_cpu(v)
|
|
return stuff
|
|
if isinstance(stuff, torch.Tensor):
|
|
return stuff.detach().cpu()
|
|
return stuff
|
|
|
|
|
|
def is_not_none(var):
|
|
"""Return True if the variable var is None."""
|
|
return not isinstance(var, type(None))
|
|
|
|
|
|
def get_masked_dict(d, mask):
|
|
"""Return a masked dictionary.
|
|
TODO(ethan): add more asserts/checks so this doesn't have unpredictable behavior."""
|
|
masked_dict = {}
|
|
for key, value in d.items():
|
|
masked_dict[key] = value[mask]
|
|
return masked_dict
|