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generic_utils.py
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# -*- coding: utf-8 -*-
import datetime
import importlib
import logging
import re
from pathlib import Path
from typing import Dict, Optional
logger = logging.getLogger(__name__)
def to_camel(text):
text = text.capitalize()
text = re.sub(r"(?!^)_([a-zA-Z])", lambda m: m.group(1).upper(), text)
text = text.replace("Tts", "TTS")
text = text.replace("vc", "VC")
return text
def find_module(module_path: str, module_name: str) -> object:
module_name = module_name.lower()
module = importlib.import_module(module_path + "." + module_name)
class_name = to_camel(module_name)
return getattr(module, class_name)
def import_class(module_path: str) -> object:
"""Import a class from a module path.
Args:
module_path (str): The module path of the class.
Returns:
object: The imported class.
"""
class_name = module_path.split(".")[-1]
module_path = ".".join(module_path.split(".")[:-1])
module = importlib.import_module(module_path)
return getattr(module, class_name)
def get_import_path(obj: object) -> str:
"""Get the import path of a class.
Args:
obj (object): The class object.
Returns:
str: The import path of the class.
"""
return ".".join([type(obj).__module__, type(obj).__name__])
def set_init_dict(model_dict, checkpoint_state, c):
# Partial initialization: if there is a mismatch with new and old layer, it is skipped.
for k, v in checkpoint_state.items():
if k not in model_dict:
logger.warning("Layer missing in the model finition %s", k)
# 1. filter out unnecessary keys
pretrained_dict = {k: v for k, v in checkpoint_state.items() if k in model_dict}
# 2. filter out different size layers
pretrained_dict = {k: v for k, v in pretrained_dict.items() if v.numel() == model_dict[k].numel()}
# 3. skip reinit layers
if c.has("reinit_layers") and c.reinit_layers is not None:
for reinit_layer_name in c.reinit_layers:
pretrained_dict = {k: v for k, v in pretrained_dict.items() if reinit_layer_name not in k}
# 4. overwrite entries in the existing state dict
model_dict.update(pretrained_dict)
logger.info("%d / %d layers are restored.", len(pretrained_dict), len(model_dict))
return model_dict
def format_aux_input(def_args: Dict, kwargs: Dict) -> Dict:
"""Format kwargs to hande auxilary inputs to models.
Args:
def_args (Dict): A dictionary of argument names and their default values if not defined in `kwargs`.
kwargs (Dict): A `dict` or `kwargs` that includes auxilary inputs to the model.
Returns:
Dict: arguments with formatted auxilary inputs.
"""
kwargs = kwargs.copy()
for name in def_args:
if name not in kwargs or kwargs[name] is None:
kwargs[name] = def_args[name]
return kwargs
def get_timestamp() -> str:
return datetime.datetime.now().strftime("%y%m%d-%H%M%S")
class ConsoleFormatter(logging.Formatter):
"""Custom formatter that prints logging.INFO messages without the level name.
Source: https://stackoverflow.com/a/62488520
"""
def format(self, record):
if record.levelno == logging.INFO:
self._style._fmt = "%(message)s"
else:
self._style._fmt = "%(levelname)s: %(message)s"
return super().format(record)
def setup_logger(
logger_name: str,
level: int = logging.INFO,
*,
formatter: Optional[logging.Formatter] = None,
screen: bool = False,
tofile: bool = False,
log_dir: str = "logs",
log_name: str = "log",
) -> None:
lg = logging.getLogger(logger_name)
if formatter is None:
formatter = logging.Formatter(
"%(asctime)s.%(msecs)03d - %(levelname)-8s - %(name)s: %(message)s", datefmt="%y-%m-%d %H:%M:%S"
)
lg.setLevel(level)
if tofile:
Path(log_dir).mkdir(exist_ok=True, parents=True)
log_file = Path(log_dir) / f"{log_name}_{get_timestamp()}.log"
fh = logging.FileHandler(log_file, mode="w")
fh.setFormatter(formatter)
lg.addHandler(fh)
if screen:
sh = logging.StreamHandler()
sh.setFormatter(formatter)
lg.addHandler(sh)