mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-11 02:24:38 +08:00
5fb3d14304
* abstracted some test logic and actually using test images now * moved logging from trainer to graph * fixing dataset path * refactored instant ngp code to use inheritance * fixed my run_train * fixed data path * fixed data dir
40 lines
909 B
Python
40 lines
909 B
Python
"""
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Miscellaneous helper code.
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"""
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import torch
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class DotDict(dict):
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"""
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dot.notation access to dictionary attributes
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"""
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def __getattr__(self, attr):
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return self[attr]
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__setattr__ = dict.__setitem__
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__delattr__ = dict.__delitem__
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def get_dict_to_torch(stuff, device="cpu"):
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"""Set everything in the dict to the specified torch device."""
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if isinstance(stuff, dict):
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for k, v in stuff.items():
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stuff[k] = get_dict_to_torch(v, device)
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return stuff
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if isinstance(stuff, torch.Tensor):
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return stuff.to(device)
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return stuff
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def get_dict_to_cpu(stuff):
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"""Set everything in the dict to CPU."""
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if isinstance(stuff, dict):
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for k, v in stuff.items():
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stuff[k] = get_dict_to_cpu(v)
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return stuff
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if isinstance(stuff, torch.Tensor):
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return stuff.detach().cpu()
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return stuff
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