repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/visualization/image.py | annotator/uniformer/mmcv/visualization/image.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from annotator.uniformer.mmcv.image import imread, imwrite
from .color import color_val
def imshow(img, win_name='', wait_time=0):
"""Show an image.
Args:
img (str or ndarray): The image to be displayed.
win_name (... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/visualization/optflow.py | annotator/uniformer/mmcv/visualization/optflow.py | # Copyright (c) OpenMMLab. All rights reserved.
from __future__ import division
import numpy as np
from annotator.uniformer.mmcv.image import rgb2bgr
from annotator.uniformer.mmcv.video import flowread
from .image import imshow
def flowshow(flow, win_name='', wait_time=0):
"""Show optical flow.
Args:
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/visualization/__init__.py | annotator/uniformer/mmcv/visualization/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .color import Color, color_val
from .image import imshow, imshow_bboxes, imshow_det_bboxes
from .optflow import flow2rgb, flowshow, make_color_wheel
__all__ = [
'Color', 'color_val', 'imshow', 'imshow_bboxes', 'imshow_det_bboxes',
'flowshow', 'flow2rgb', 'ma... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/visualization/color.py | annotator/uniformer/mmcv/visualization/color.py | # Copyright (c) OpenMMLab. All rights reserved.
from enum import Enum
import numpy as np
from annotator.uniformer.mmcv.utils import is_str
class Color(Enum):
"""An enum that defines common colors.
Contains red, green, blue, cyan, yellow, magenta, white and black.
"""
red = (0, 0, 255)
green = (... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/parrots_jit.py | annotator/uniformer/mmcv/utils/parrots_jit.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
from .parrots_wrapper import TORCH_VERSION
parrots_jit_option = os.getenv('PARROTS_JIT_OPTION')
if TORCH_VERSION == 'parrots' and parrots_jit_option == 'ON':
from parrots.jit import pat as jit
else:
def jit(func=None,
check_input=None,
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/parrots_wrapper.py | annotator/uniformer/mmcv/utils/parrots_wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
import torch
TORCH_VERSION = torch.__version__
def is_rocm_pytorch() -> bool:
is_rocm = False
if TORCH_VERSION != 'parrots':
try:
from torch.utils.cpp_extension import ROCM_HOME
is_rocm = True if ((... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/path.py | annotator/uniformer/mmcv/utils/path.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
from pathlib import Path
from .misc import is_str
def is_filepath(x):
return is_str(x) or isinstance(x, Path)
def fopen(filepath, *args, **kwargs):
if is_str(filepath):
return open(filepath, *args, **kwargs)
elif is... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/registry.py | annotator/uniformer/mmcv/utils/registry.py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
import warnings
from functools import partial
from .misc import is_seq_of
def build_from_cfg(cfg, registry, default_args=None):
"""Build a module from config dict.
Args:
cfg (dict): Config dict. It should at least contain the key "type".... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/testing.py | annotator/uniformer/mmcv/utils/testing.py | # Copyright (c) Open-MMLab.
import sys
from collections.abc import Iterable
from runpy import run_path
from shlex import split
from typing import Any, Dict, List
from unittest.mock import patch
def check_python_script(cmd):
"""Run the python cmd script with `__main__`. The difference between
`os.system` is th... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/timer.py | annotator/uniformer/mmcv/utils/timer.py | # Copyright (c) OpenMMLab. All rights reserved.
from time import time
class TimerError(Exception):
def __init__(self, message):
self.message = message
super(TimerError, self).__init__(message)
class Timer:
"""A flexible Timer class.
:Example:
>>> import time
>>> import annotat... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/trace.py | annotator/uniformer/mmcv/utils/trace.py | import warnings
import torch
from annotator.uniformer.mmcv.utils import digit_version
def is_jit_tracing() -> bool:
if (torch.__version__ != 'parrots'
and digit_version(torch.__version__) >= digit_version('1.6.0')):
on_trace = torch.jit.is_tracing()
# In PyTorch 1.6, torch.jit.is_tra... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/version_utils.py | annotator/uniformer/mmcv/utils/version_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import subprocess
import warnings
from packaging.version import parse
def digit_version(version_str: str, length: int = 4):
"""Convert a version string into a tuple of integers.
This method is usually used for comparing two versions. For pre-release
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/progressbar.py | annotator/uniformer/mmcv/utils/progressbar.py | # Copyright (c) OpenMMLab. All rights reserved.
import sys
from collections.abc import Iterable
from multiprocessing import Pool
from shutil import get_terminal_size
from .timer import Timer
class ProgressBar:
"""A progress bar which can print the progress."""
def __init__(self, task_num=0, bar_width=50, st... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/ext_loader.py | annotator/uniformer/mmcv/utils/ext_loader.py | # Copyright (c) OpenMMLab. All rights reserved.
import importlib
import os
import pkgutil
import warnings
from collections import namedtuple
import torch
if torch.__version__ != 'parrots':
def load_ext(name, funcs):
ext = importlib.import_module('mmcv.' + name)
for fun in funcs:
asser... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/misc.py | annotator/uniformer/mmcv/utils/misc.py | # Copyright (c) OpenMMLab. All rights reserved.
import collections.abc
import functools
import itertools
import subprocess
import warnings
from collections import abc
from importlib import import_module
from inspect import getfullargspec
from itertools import repeat
# From PyTorch internals
def _ntuple(n):
def p... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/logging.py | annotator/uniformer/mmcv/utils/logging.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
import torch.distributed as dist
logger_initialized = {}
def get_logger(name, log_file=None, log_level=logging.INFO, file_mode='w'):
"""Initialize and get a logger by name.
If the logger has not been initialized, this method will initialize the... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/config.py | annotator/uniformer/mmcv/utils/config.py | # Copyright (c) OpenMMLab. All rights reserved.
import ast
import copy
import os
import os.path as osp
import platform
import shutil
import sys
import tempfile
import uuid
import warnings
from argparse import Action, ArgumentParser
from collections import abc
from importlib import import_module
from addict import Dict... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/__init__.py | annotator/uniformer/mmcv/utils/__init__.py | # flake8: noqa
# Copyright (c) OpenMMLab. All rights reserved.
from .config import Config, ConfigDict, DictAction
from .misc import (check_prerequisites, concat_list, deprecated_api_warning,
has_method, import_modules_from_strings, is_list_of,
is_method_overridden, is_seq_of, is_st... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/utils/env.py | annotator/uniformer/mmcv/utils/env.py | # Copyright (c) OpenMMLab. All rights reserved.
"""This file holding some environment constant for sharing by other files."""
import os.path as osp
import subprocess
import sys
from collections import defaultdict
import cv2
import torch
import annotator.uniformer.mmcv as mmcv
from .parrots_wrapper import get_build_c... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/priority.py | annotator/uniformer/mmcv/runner/priority.py | # Copyright (c) OpenMMLab. All rights reserved.
from enum import Enum
class Priority(Enum):
"""Hook priority levels.
+--------------+------------+
| Level | Value |
+==============+============+
| HIGHEST | 0 |
+--------------+------------+
| VERY_HIGH | 10 ... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/log_buffer.py | annotator/uniformer/mmcv/runner/log_buffer.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
import numpy as np
class LogBuffer:
def __init__(self):
self.val_history = OrderedDict()
self.n_history = OrderedDict()
self.output = OrderedDict()
self.ready = False
def clear(self):
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/base_runner.py | annotator/uniformer/mmcv/runner/base_runner.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import logging
import os.path as osp
import warnings
from abc import ABCMeta, abstractmethod
import torch
from torch.optim import Optimizer
import annotator.uniformer.mmcv as mmcv
from ..parallel import is_module_wrapper
from .checkpoint import load_checkpoi... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/checkpoint.py | annotator/uniformer/mmcv/runner/checkpoint.py | # Copyright (c) OpenMMLab. All rights reserved.
import io
import os
import os.path as osp
import pkgutil
import re
import time
import warnings
from collections import OrderedDict
from importlib import import_module
from tempfile import TemporaryDirectory
import torch
import torchvision
from torch.optim import Optimize... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/fp16_utils.py | annotator/uniformer/mmcv/runner/fp16_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import warnings
from collections import abc
from inspect import getfullargspec
import numpy as np
import torch
import torch.nn as nn
from annotator.uniformer.mmcv.utils import TORCH_VERSION, digit_version
from .dist_utils import allreduce_grads as _allr... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/dist_utils.py | annotator/uniformer/mmcv/runner/dist_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import os
import subprocess
from collections import OrderedDict
import torch
import torch.multiprocessing as mp
from torch import distributed as dist
from torch._utils import (_flatten_dense_tensors, _take_tensors,
_unflatten_de... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/utils.py | annotator/uniformer/mmcv/runner/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import random
import sys
import time
import warnings
from getpass import getuser
from socket import gethostname
import numpy as np
import torch
import annotator.uniformer.mmcv as mmcv
def get_host_info():
"""Get hostname and username.
Return empty s... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/iter_based_runner.py | annotator/uniformer/mmcv/runner/iter_based_runner.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import platform
import shutil
import time
import warnings
import torch
from torch.optim import Optimizer
import annotator.uniformer.mmcv as mmcv
from .base_runner import BaseRunner
from .builder import RUNNERS
from .checkpoint import save_checkpoin... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/__init__.py | annotator/uniformer/mmcv/runner/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_module import BaseModule, ModuleList, Sequential
from .base_runner import BaseRunner
from .builder import RUNNERS, build_runner
from .checkpoint import (CheckpointLoader, _load_checkpoint,
_load_checkpoint_with_prefix, load_checkpoint,
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/epoch_based_runner.py | annotator/uniformer/mmcv/runner/epoch_based_runner.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import platform
import shutil
import time
import warnings
import torch
import annotator.uniformer.mmcv as mmcv
from .base_runner import BaseRunner
from .builder import RUNNERS
from .checkpoint import save_checkpoint
from .utils import get_host_info... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/base_module.py | annotator/uniformer/mmcv/runner/base_module.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from abc import ABCMeta
from collections import defaultdict
from logging import FileHandler
import torch.nn as nn
from annotator.uniformer.mmcv.runner.dist_utils import master_only
from annotator.uniformer.mmcv.utils.logging import get_logger... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/builder.py | annotator/uniformer/mmcv/runner/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from ..utils import Registry
RUNNERS = Registry('runner')
RUNNER_BUILDERS = Registry('runner builder')
def build_runner_constructor(cfg):
return RUNNER_BUILDERS.build(cfg)
def build_runner(cfg, default_args=None):
runner_cfg = copy.deepcopy(cfg)
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/default_constructor.py | annotator/uniformer/mmcv/runner/default_constructor.py | from .builder import RUNNER_BUILDERS, RUNNERS
@RUNNER_BUILDERS.register_module()
class DefaultRunnerConstructor:
"""Default constructor for runners.
Custom existing `Runner` like `EpocBasedRunner` though `RunnerConstructor`.
For example, We can inject some new properties and functions for `Runner`.
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/sync_buffer.py | annotator/uniformer/mmcv/runner/hooks/sync_buffer.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..dist_utils import allreduce_params
from .hook import HOOKS, Hook
@HOOKS.register_module()
class SyncBuffersHook(Hook):
"""Synchronize model buffers such as running_mean and running_var in BN at
the end of each epoch.
Args:
distributed (bool):... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/ema.py | annotator/uniformer/mmcv/runner/hooks/ema.py | # Copyright (c) OpenMMLab. All rights reserved.
from ...parallel import is_module_wrapper
from ..hooks.hook import HOOKS, Hook
@HOOKS.register_module()
class EMAHook(Hook):
r"""Exponential Moving Average Hook.
Use Exponential Moving Average on all parameters of model in training
process. All parameters h... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/memory.py | annotator/uniformer/mmcv/runner/hooks/memory.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from .hook import HOOKS, Hook
@HOOKS.register_module()
class EmptyCacheHook(Hook):
def __init__(self, before_epoch=False, after_epoch=True, after_iter=False):
self._before_epoch = before_epoch
self._after_epoch = after_epoch
se... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/profiler.py | annotator/uniformer/mmcv/runner/hooks/profiler.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Callable, List, Optional, Union
import torch
from ..dist_utils import master_only
from .hook import HOOKS, Hook
@HOOKS.register_module()
class ProfilerHook(Hook):
"""Profiler to analyze performance during training.
PyTorch P... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/optimizer.py | annotator/uniformer/mmcv/runner/hooks/optimizer.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from collections import defaultdict
from itertools import chain
from torch.nn.utils import clip_grad
from annotator.uniformer.mmcv.utils import TORCH_VERSION, _BatchNorm, digit_version
from ..dist_utils import allreduce_grads
from ..fp16_utils import LossSca... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/checkpoint.py | annotator/uniformer/mmcv/runner/hooks/checkpoint.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import warnings
from annotator.uniformer.mmcv.fileio import FileClient
from ..dist_utils import allreduce_params, master_only
from .hook import HOOKS, Hook
@HOOKS.register_module()
class CheckpointHook(Hook):
"""Save checkpoints periodically.
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/iter_timer.py | annotator/uniformer/mmcv/runner/hooks/iter_timer.py | # Copyright (c) OpenMMLab. All rights reserved.
import time
from .hook import HOOKS, Hook
@HOOKS.register_module()
class IterTimerHook(Hook):
def before_epoch(self, runner):
self.t = time.time()
def before_iter(self, runner):
runner.log_buffer.update({'data_time': time.time() - self.t})
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/closure.py | annotator/uniformer/mmcv/runner/hooks/closure.py | # Copyright (c) OpenMMLab. All rights reserved.
from .hook import HOOKS, Hook
@HOOKS.register_module()
class ClosureHook(Hook):
def __init__(self, fn_name, fn):
assert hasattr(self, fn_name)
assert callable(fn)
setattr(self, fn_name, fn)
| python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/evaluation.py | annotator/uniformer/mmcv/runner/hooks/evaluation.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import warnings
from math import inf
import torch.distributed as dist
from torch.nn.modules.batchnorm import _BatchNorm
from torch.utils.data import DataLoader
from annotator.uniformer.mmcv.fileio import FileClient
from annotator.uniformer.mmcv.uti... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/__init__.py | annotator/uniformer/mmcv/runner/hooks/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .checkpoint import CheckpointHook
from .closure import ClosureHook
from .ema import EMAHook
from .evaluation import DistEvalHook, EvalHook
from .hook import HOOKS, Hook
from .iter_timer import IterTimerHook
from .logger import (DvcliveLoggerHook, LoggerHook, MlflowLo... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/sampler_seed.py | annotator/uniformer/mmcv/runner/hooks/sampler_seed.py | # Copyright (c) OpenMMLab. All rights reserved.
from .hook import HOOKS, Hook
@HOOKS.register_module()
class DistSamplerSeedHook(Hook):
"""Data-loading sampler for distributed training.
When distributed training, it is only useful in conjunction with
:obj:`EpochBasedRunner`, while :obj:`IterBasedRunner` ... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/momentum_updater.py | annotator/uniformer/mmcv/runner/hooks/momentum_updater.py | # Copyright (c) OpenMMLab. All rights reserved.
import annotator.uniformer.mmcv as mmcv
from .hook import HOOKS, Hook
from .lr_updater import annealing_cos, annealing_linear, format_param
class MomentumUpdaterHook(Hook):
def __init__(self,
by_epoch=True,
warmup=None,
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/hook.py | annotator/uniformer/mmcv/runner/hooks/hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from annotator.uniformer.mmcv.utils import Registry, is_method_overridden
HOOKS = Registry('hook')
class Hook:
stages = ('before_run', 'before_train_epoch', 'before_train_iter',
'after_train_iter', 'after_train_epoch', 'before_val_epoch',
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/lr_updater.py | annotator/uniformer/mmcv/runner/hooks/lr_updater.py | # Copyright (c) OpenMMLab. All rights reserved.
import numbers
from math import cos, pi
import annotator.uniformer.mmcv as mmcv
from .hook import HOOKS, Hook
class LrUpdaterHook(Hook):
"""LR Scheduler in MMCV.
Args:
by_epoch (bool): LR changes epoch by epoch
warmup (string): Type of warmup u... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/neptune.py | annotator/uniformer/mmcv/runner/hooks/logger/neptune.py | # Copyright (c) OpenMMLab. All rights reserved.
from ...dist_utils import master_only
from ..hook import HOOKS
from .base import LoggerHook
@HOOKS.register_module()
class NeptuneLoggerHook(LoggerHook):
"""Class to log metrics to NeptuneAI.
It requires `neptune-client` to be installed.
Args:
init... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/dvclive.py | annotator/uniformer/mmcv/runner/hooks/logger/dvclive.py | # Copyright (c) OpenMMLab. All rights reserved.
from ...dist_utils import master_only
from ..hook import HOOKS
from .base import LoggerHook
@HOOKS.register_module()
class DvcliveLoggerHook(LoggerHook):
"""Class to log metrics with dvclive.
It requires `dvclive`_ to be installed.
Args:
path (str)... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/tensorboard.py | annotator/uniformer/mmcv/runner/hooks/logger/tensorboard.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from annotator.uniformer.mmcv.utils import TORCH_VERSION, digit_version
from ...dist_utils import master_only
from ..hook import HOOKS
from .base import LoggerHook
@HOOKS.register_module()
class TensorboardLoggerHook(LoggerHook):
def __init__... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/mlflow.py | annotator/uniformer/mmcv/runner/hooks/logger/mlflow.py | # Copyright (c) OpenMMLab. All rights reserved.
from ...dist_utils import master_only
from ..hook import HOOKS
from .base import LoggerHook
@HOOKS.register_module()
class MlflowLoggerHook(LoggerHook):
def __init__(self,
exp_name=None,
tags=None,
log_model=True,
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/pavi.py | annotator/uniformer/mmcv/runner/hooks/logger/pavi.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import os
import os.path as osp
import torch
import yaml
import annotator.uniformer.mmcv as mmcv
from ....parallel.utils import is_module_wrapper
from ...dist_utils import master_only
from ..hook import HOOKS
from .base import LoggerHook
@HOOKS.register_mo... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/__init__.py | annotator/uniformer/mmcv/runner/hooks/logger/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base import LoggerHook
from .dvclive import DvcliveLoggerHook
from .mlflow import MlflowLoggerHook
from .neptune import NeptuneLoggerHook
from .pavi import PaviLoggerHook
from .tensorboard import TensorboardLoggerHook
from .text import TextLoggerHook
from .wandb imp... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/text.py | annotator/uniformer/mmcv/runner/hooks/logger/text.py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import os
import os.path as osp
from collections import OrderedDict
import torch
import torch.distributed as dist
import annotator.uniformer.mmcv as mmcv
from annotator.uniformer.mmcv.fileio.file_client import FileClient
from annotator.uniformer.mmcv.uti... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/base.py | annotator/uniformer/mmcv/runner/hooks/logger/base.py | # Copyright (c) OpenMMLab. All rights reserved.
import numbers
from abc import ABCMeta, abstractmethod
import numpy as np
import torch
from ..hook import Hook
class LoggerHook(Hook):
"""Base class for logger hooks.
Args:
interval (int): Logging interval (every k iterations).
ignore_last (bo... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/hooks/logger/wandb.py | annotator/uniformer/mmcv/runner/hooks/logger/wandb.py | # Copyright (c) OpenMMLab. All rights reserved.
from ...dist_utils import master_only
from ..hook import HOOKS
from .base import LoggerHook
@HOOKS.register_module()
class WandbLoggerHook(LoggerHook):
def __init__(self,
init_kwargs=None,
interval=10,
ignore_last=... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/optimizer/__init__.py | annotator/uniformer/mmcv/runner/optimizer/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .builder import (OPTIMIZER_BUILDERS, OPTIMIZERS, build_optimizer,
build_optimizer_constructor)
from .default_constructor import DefaultOptimizerConstructor
__all__ = [
'OPTIMIZER_BUILDERS', 'OPTIMIZERS', 'DefaultOptimizerConstructor',
'... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/optimizer/builder.py | annotator/uniformer/mmcv/runner/optimizer/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import inspect
import torch
from ...utils import Registry, build_from_cfg
OPTIMIZERS = Registry('optimizer')
OPTIMIZER_BUILDERS = Registry('optimizer builder')
def register_torch_optimizers():
torch_optimizers = []
for module_name in dir(torch.opt... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/runner/optimizer/default_constructor.py | annotator/uniformer/mmcv/runner/optimizer/default_constructor.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
from torch.nn import GroupNorm, LayerNorm
from annotator.uniformer.mmcv.utils import _BatchNorm, _InstanceNorm, build_from_cfg, is_list_of
from annotator.uniformer.mmcv.utils.ext_loader import check_ops_exist
from .builder import OPTIMIZER_B... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/arraymisc/quantization.py | annotator/uniformer/mmcv/arraymisc/quantization.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
def quantize(arr, min_val, max_val, levels, dtype=np.int64):
"""Quantize an array of (-inf, inf) to [0, levels-1].
Args:
arr (ndarray): Input array.
min_val (scalar): Minimum value to be clipped.
max_val (scalar): Maxi... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/arraymisc/__init__.py | annotator/uniformer/mmcv/arraymisc/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .quantization import dequantize, quantize
__all__ = ['quantize', 'dequantize']
| python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/registry.py | annotator/uniformer/mmcv/parallel/registry.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch.nn.parallel import DataParallel, DistributedDataParallel
from annotator.uniformer.mmcv.utils import Registry
MODULE_WRAPPERS = Registry('module wrapper')
MODULE_WRAPPERS.register_module(module=DataParallel)
MODULE_WRAPPERS.register_module(module=DistributedDa... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/data_parallel.py | annotator/uniformer/mmcv/parallel/data_parallel.py | # Copyright (c) OpenMMLab. All rights reserved.
from itertools import chain
from torch.nn.parallel import DataParallel
from .scatter_gather import scatter_kwargs
class MMDataParallel(DataParallel):
"""The DataParallel module that supports DataContainer.
MMDataParallel has two main differences with PyTorch ... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/data_container.py | annotator/uniformer/mmcv/parallel/data_container.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import torch
def assert_tensor_type(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
if not isinstance(args[0].data, torch.Tensor):
raise AttributeError(
f'{args[0].__class__.__name__} has no attr... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/distributed_deprecated.py | annotator/uniformer/mmcv/parallel/distributed_deprecated.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.distributed as dist
import torch.nn as nn
from torch._utils import (_flatten_dense_tensors, _take_tensors,
_unflatten_dense_tensors)
from annotator.uniformer.mmcv.utils import TORCH_VERSION, digit_version
from .registry... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/collate.py | annotator/uniformer/mmcv/parallel/collate.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections.abc import Mapping, Sequence
import torch
import torch.nn.functional as F
from torch.utils.data.dataloader import default_collate
from .data_container import DataContainer
def collate(batch, samples_per_gpu=1):
"""Puts each data field into a tenso... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/distributed.py | annotator/uniformer/mmcv/parallel/distributed.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch.nn.parallel.distributed import (DistributedDataParallel,
_find_tensors)
from annotator.uniformer.mmcv import print_log
from annotator.uniformer.mmcv.utils import TORCH_VERSION, digit_version
from .scatter... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/utils.py | annotator/uniformer/mmcv/parallel/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from .registry import MODULE_WRAPPERS
def is_module_wrapper(module):
"""Check if a module is a module wrapper.
The following 3 modules in MMCV (and their subclasses) are regarded as
module wrappers: DataParallel, DistributedDataParallel,
MMDistributedDa... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/scatter_gather.py | annotator/uniformer/mmcv/parallel/scatter_gather.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch.nn.parallel._functions import Scatter as OrigScatter
from ._functions import Scatter
from .data_container import DataContainer
def scatter(inputs, target_gpus, dim=0):
"""Scatter inputs to target gpus.
The only difference from original ... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/__init__.py | annotator/uniformer/mmcv/parallel/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .collate import collate
from .data_container import DataContainer
from .data_parallel import MMDataParallel
from .distributed import MMDistributedDataParallel
from .registry import MODULE_WRAPPERS
from .scatter_gather import scatter, scatter_kwargs
from .utils import... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/parallel/_functions.py | annotator/uniformer/mmcv/parallel/_functions.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch.nn.parallel._functions import _get_stream
def scatter(input, devices, streams=None):
"""Scatters tensor across multiple GPUs."""
if streams is None:
streams = [None] * len(devices)
if isinstance(input, list):
chunk_si... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/engine/__init__.py | annotator/uniformer/mmcv/engine/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .test import (collect_results_cpu, collect_results_gpu, multi_gpu_test,
single_gpu_test)
__all__ = [
'collect_results_cpu', 'collect_results_gpu', 'multi_gpu_test',
'single_gpu_test'
]
| python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/engine/test.py | annotator/uniformer/mmcv/engine/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import pickle
import shutil
import tempfile
import time
import torch
import torch.distributed as dist
import annotator.uniformer.mmcv as mmcv
from annotator.uniformer.mmcv.runner import get_dist_info
def single_gpu_test(model, data_loader):
"... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/video/optflow.py | annotator/uniformer/mmcv/video/optflow.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import cv2
import numpy as np
from annotator.uniformer.mmcv.arraymisc import dequantize, quantize
from annotator.uniformer.mmcv.image import imread, imwrite
from annotator.uniformer.mmcv.utils import is_str
def flowread(flow_or_path, quantize=False, co... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/video/__init__.py | annotator/uniformer/mmcv/video/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .io import Cache, VideoReader, frames2video
from .optflow import (dequantize_flow, flow_from_bytes, flow_warp, flowread,
flowwrite, quantize_flow, sparse_flow_from_bytes)
from .processing import concat_video, convert_video, cut_video, resize_vid... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/video/processing.py | annotator/uniformer/mmcv/video/processing.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
import subprocess
import tempfile
from annotator.uniformer.mmcv.utils import requires_executable
@requires_executable('ffmpeg')
def convert_video(in_file,
out_file,
print_cmd=False,
p... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/video/io.py | annotator/uniformer/mmcv/video/io.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from collections import OrderedDict
import cv2
from cv2 import (CAP_PROP_FOURCC, CAP_PROP_FPS, CAP_PROP_FRAME_COUNT,
CAP_PROP_FRAME_HEIGHT, CAP_PROP_FRAME_WIDTH,
CAP_PROP_POS_FRAMES, VideoWriter_fourcc)
from annota... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/roi_align_rotated.py | annotator/uniformer/mmcv/ops/roi_align_rotated.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from torch.autograd import Function
from ..utils import ext_loader
ext_module = ext_loader.load_ext(
'_ext', ['roi_align_rotated_forward', 'roi_align_rotated_backward'])
class RoIAlignRotatedFunction(Function):
@staticmethod
def symb... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/assign_score_withk.py | annotator/uniformer/mmcv/ops/assign_score_withk.py | from torch.autograd import Function
from ..utils import ext_loader
ext_module = ext_loader.load_ext(
'_ext', ['assign_score_withk_forward', 'assign_score_withk_backward'])
class AssignScoreWithK(Function):
r"""Perform weighted sum to generate output features according to scores.
Modified from `PAConv <h... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/points_sampler.py | annotator/uniformer/mmcv/ops/points_sampler.py | from typing import List
import torch
from torch import nn as nn
from annotator.uniformer.mmcv.runner import force_fp32
from .furthest_point_sample import (furthest_point_sample,
furthest_point_sample_with_dist)
def calc_square_dist(point_feat_a, point_feat_b, norm=True):
"""C... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/merge_cells.py | annotator/uniformer/mmcv/ops/merge_cells.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import abstractmethod
import torch
import torch.nn as nn
import torch.nn.functional as F
from ..cnn import ConvModule
class BaseMergeCell(nn.Module):
"""The basic class for cells used in NAS-FPN and NAS-FCOS.
BaseMergeCell takes 2 inputs. After apply... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/tin_shift.py | annotator/uniformer/mmcv/ops/tin_shift.py | # Copyright (c) OpenMMLab. All rights reserved.
# Code reference from "Temporal Interlacing Network"
# https://github.com/deepcs233/TIN/blob/master/cuda_shift/rtc_wrap.py
# Hao Shao, Shengju Qian, Yu Liu
# shaoh19@mails.tsinghua.edu.cn, sjqian@cse.cuhk.edu.hk, yuliu@ee.cuhk.edu.hk
import torch
import torch.nn as nn
fr... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/masked_conv.py | annotator/uniformer/mmcv/ops/masked_conv.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from ..utils import ext_loader
ext_module = ext_loader.load_ext(
'_ext', ['masked_im2... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/saconv.py | annotator/uniformer/mmcv/ops/saconv.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from annotator.uniformer.mmcv.cnn import CONV_LAYERS, ConvAWS2d, constant_init
from annotator.uniformer.mmcv.ops.deform_conv import deform_conv2d
from annotator.uniformer.mmcv.utils import TORCH_VERSION, ... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/points_in_boxes.py | annotator/uniformer/mmcv/ops/points_in_boxes.py | import torch
from ..utils import ext_loader
ext_module = ext_loader.load_ext('_ext', [
'points_in_boxes_part_forward', 'points_in_boxes_cpu_forward',
'points_in_boxes_all_forward'
])
def points_in_boxes_part(points, boxes):
"""Find the box in which each point is (CUDA).
Args:
points (torch.... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/modulated_deform_conv.py | annotator/uniformer/mmcv/ops/modulated_deform_conv.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair, _single
from annotator.uniformer.mmcv.utils import deprecated_api_warning
from ..cnn impo... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/furthest_point_sample.py | annotator/uniformer/mmcv/ops/furthest_point_sample.py | import torch
from torch.autograd import Function
from ..utils import ext_loader
ext_module = ext_loader.load_ext('_ext', [
'furthest_point_sampling_forward',
'furthest_point_sampling_with_dist_forward'
])
class FurthestPointSampling(Function):
"""Uses iterative furthest point sampling to select a set of... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/carafe.py | annotator/uniformer/mmcv/ops/carafe.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Function
from torch.nn.modules.module import Module
from ..cnn import UPSAMPLE_LAYERS, normal_init, xavier_init
from ..utils import ext_loader
ext_module = ext_loader.load_ext(... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/knn.py | annotator/uniformer/mmcv/ops/knn.py | import torch
from torch.autograd import Function
from ..utils import ext_loader
ext_module = ext_loader.load_ext('_ext', ['knn_forward'])
class KNN(Function):
r"""KNN (CUDA) based on heap data structure.
Modified from `PAConv <https://github.com/CVMI-Lab/PAConv/tree/main/
scene_seg/lib/pointops/src/knnq... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/roiaware_pool3d.py | annotator/uniformer/mmcv/ops/roiaware_pool3d.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import nn as nn
from torch.autograd import Function
import annotator.uniformer.mmcv as mmcv
from ..utils import ext_loader
ext_module = ext_loader.load_ext(
'_ext', ['roiaware_pool3d_forward', 'roiaware_pool3d_backward'])
class RoIAwarePool... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/multi_scale_deform_attn.py | annotator/uniformer/mmcv/ops/multi_scale_deform_attn.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd.function import Function, once_differentiable
from annotator.uniformer.mmcv import deprecated_api_warning
from annotator.uniformer.mmcv.cnn import constant... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/roi_align.py | annotator/uniformer/mmcv/ops/roi_align.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from ..utils import deprecated_api_warning, ext_loader
ext_module = ext_loader.load_ext('_ext',
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/roipoint_pool3d.py | annotator/uniformer/mmcv/ops/roipoint_pool3d.py | from torch import nn as nn
from torch.autograd import Function
from ..utils import ext_loader
ext_module = ext_loader.load_ext('_ext', ['roipoint_pool3d_forward'])
class RoIPointPool3d(nn.Module):
"""Encode the geometry-specific features of each 3D proposal.
Please refer to `Paper of PartA2 <https://arxiv.... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/ball_query.py | annotator/uniformer/mmcv/ops/ball_query.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch.autograd import Function
from ..utils import ext_loader
ext_module = ext_loader.load_ext('_ext', ['ball_query_forward'])
class BallQuery(Function):
"""Find nearby points in spherical space."""
@staticmethod
def forward(ctx, min_rad... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/sync_bn.py | annotator/uniformer/mmcv/ops/sync_bn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.distributed as dist
import torch.nn.functional as F
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.module import Module
from torch.nn.parameter import Parameter
from annotator.un... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/voxelize.py | annotator/uniformer/mmcv/ops/voxelize.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import nn
from torch.autograd import Function
from torch.nn.modules.utils import _pair
from ..utils import ext_loader
ext_module = ext_loader.load_ext(
'_ext', ['dynamic_voxelize_forward', 'hard_voxelize_forward'])
class _Voxelization(Funct... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/contour_expand.py | annotator/uniformer/mmcv/ops/contour_expand.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from ..utils import ext_loader
ext_module = ext_loader.load_ext('_ext', ['contour_expand'])
def contour_expand(kernel_mask, internal_kernel_label, min_kernel_area,
kernel_num):
"""Expand kernel contours so that fo... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/deform_roi_pool.py | annotator/uniformer/mmcv/ops/deform_roi_pool.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from ..utils import ext_loader
ext_module = ext_loader.load_ext(
'_ext', ['deform_roi_pool_forward', 'deform_roi... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/cc_attention.py | annotator/uniformer/mmcv/ops/cc_attention.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from annotator.uniformer.mmcv.cnn import PLUGIN_LAYERS, Scale
def NEG_INF_DIAG(n, device):
"""Returns a diagonal matrix of size [n, n].
The diagonal are all "-inf". This is for avoiding calcula... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/focal_loss.py | annotator/uniformer/mmcv/ops/focal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from ..utils import ext_loader
ext_module = ext_loader.load_ext('_ext', [
'sigmoid_focal_loss_forward', 'sigmoid_focal_loss_backward',
... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
lllyasviel/ControlNet | https://github.com/lllyasviel/ControlNet/blob/ed85cd1e25a5ed592f7d8178495b4483de0331bf/annotator/uniformer/mmcv/ops/deprecated_wrappers.py | annotator/uniformer/mmcv/ops/deprecated_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
# This file is for backward compatibility.
# Module wrappers for empty tensor have been moved to mmcv.cnn.bricks.
import warnings
from ..cnn.bricks.wrappers import Conv2d, ConvTranspose2d, Linear, MaxPool2d
class Conv2d_deprecated(Conv2d):
def __init__(self, *args... | python | Apache-2.0 | ed85cd1e25a5ed592f7d8178495b4483de0331bf | 2026-01-04T14:42:42.940079Z | false |
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