mirror of https://github.com/coqui-ai/TTS.git
141 lines
3.9 KiB
Python
141 lines
3.9 KiB
Python
# -*- coding: utf-8 -*-
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import datetime
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import importlib
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import logging
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import re
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from pathlib import Path
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from typing import Any, Callable, Dict, Optional, TypeVar, Union
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import torch
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from packaging.version import Version
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from typing_extensions import TypeIs
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logger = logging.getLogger(__name__)
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_T = TypeVar("_T")
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def exists(val: Union[_T, None]) -> TypeIs[_T]:
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return val is not None
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def default(val: Union[_T, None], d: Union[_T, Callable[[], _T]]) -> _T:
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if exists(val):
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return val
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return d() if callable(d) else d
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def to_camel(text):
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text = text.capitalize()
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text = re.sub(r"(?!^)_([a-zA-Z])", lambda m: m.group(1).upper(), text)
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text = text.replace("Tts", "TTS")
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text = text.replace("vc", "VC")
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return text
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def find_module(module_path: str, module_name: str) -> object:
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module_name = module_name.lower()
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module = importlib.import_module(module_path + "." + module_name)
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class_name = to_camel(module_name)
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return getattr(module, class_name)
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def import_class(module_path: str) -> object:
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"""Import a class from a module path.
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Args:
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module_path (str): The module path of the class.
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Returns:
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object: The imported class.
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"""
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class_name = module_path.split(".")[-1]
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module_path = ".".join(module_path.split(".")[:-1])
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module = importlib.import_module(module_path)
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return getattr(module, class_name)
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def get_import_path(obj: object) -> str:
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"""Get the import path of a class.
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Args:
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obj (object): The class object.
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Returns:
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str: The import path of the class.
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"""
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return ".".join([type(obj).__module__, type(obj).__name__])
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def format_aux_input(def_args: Dict, kwargs: Dict) -> Dict:
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"""Format kwargs to hande auxilary inputs to models.
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Args:
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def_args (Dict): A dictionary of argument names and their default values if not defined in `kwargs`.
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kwargs (Dict): A `dict` or `kwargs` that includes auxilary inputs to the model.
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Returns:
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Dict: arguments with formatted auxilary inputs.
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"""
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kwargs = kwargs.copy()
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for name in def_args:
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if name not in kwargs or kwargs[name] is None:
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kwargs[name] = def_args[name]
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return kwargs
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def get_timestamp() -> str:
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return datetime.datetime.now().strftime("%y%m%d-%H%M%S")
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class ConsoleFormatter(logging.Formatter):
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"""Custom formatter that prints logging.INFO messages without the level name.
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Source: https://stackoverflow.com/a/62488520
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"""
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def format(self, record):
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if record.levelno == logging.INFO:
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self._style._fmt = "%(message)s"
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else:
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self._style._fmt = "%(levelname)s: %(message)s"
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return super().format(record)
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def setup_logger(
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logger_name: str,
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level: int = logging.INFO,
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*,
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formatter: Optional[logging.Formatter] = None,
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screen: bool = False,
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tofile: bool = False,
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log_dir: str = "logs",
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log_name: str = "log",
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) -> None:
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lg = logging.getLogger(logger_name)
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if formatter is None:
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formatter = logging.Formatter(
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"%(asctime)s.%(msecs)03d - %(levelname)-8s - %(name)s: %(message)s", datefmt="%y-%m-%d %H:%M:%S"
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)
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lg.setLevel(level)
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if tofile:
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Path(log_dir).mkdir(exist_ok=True, parents=True)
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log_file = Path(log_dir) / f"{log_name}_{get_timestamp()}.log"
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fh = logging.FileHandler(log_file, mode="w")
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fh.setFormatter(formatter)
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lg.addHandler(fh)
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if screen:
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sh = logging.StreamHandler()
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sh.setFormatter(formatter)
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lg.addHandler(sh)
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def is_pytorch_at_least_2_4() -> bool:
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"""Check if the installed Pytorch version is 2.4 or higher."""
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return Version(torch.__version__) >= Version("2.4")
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def optional_to_str(x: Optional[Any]) -> str:
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"""Convert input to string, using empty string if input is None."""
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return "" if x is None else str(x)
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