4
0
mirror of https://github.com/nerfstudio-project/nerfstudio.git synced 2026-11-11 10:34:29 +08:00
nerfstudio/pyrad/utils/misc.py
evonneng 5433f831ac
add licensing headers (#27)
* add licensing headers

* add licensing to run actions

* rerun headers file

* remove trailing white spaces
2022-06-08 13:31:13 -07:00

93 lines
2.7 KiB
Python

# Copyright 2022 The Plenoptix Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Miscellaneous helper code.
"""
import hashlib
import json
from pydoc import locate
from typing import Any, Dict
import torch
from omegaconf import DictConfig
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
def instantiate_from_dict_config(dict_config: DictConfig, **kwargs):
"""Our version of hydra's instantiate function."""
dict_config_kwargs = {k: v for k, v in dict_config.items() if k != "_target_"}
uninstantiated_class = locate(dict_config._target_) # pylint: disable=protected-access
all_kwargs = dict_config_kwargs
all_kwargs.update(kwargs)
instantiated_class = uninstantiated_class(**all_kwargs)
return instantiated_class
def get_hash_str_from_dict(dictionary: Dict[str, Any]) -> str:
"""MD5 hash of a dictionary. Based on
https://www.doc.ic.ac.uk/~nuric/coding/how-to-hash-a-dictionary-in-python.html"""
dhash = hashlib.md5()
encoded = json.dumps(dictionary, sort_keys=True).encode()
dhash.update(encoded)
return dhash.hexdigest()