



"""simple docstring"""






from datetime import datetime

import matplotlib.pyplot as plt
import torch


def 			_lowercase				(  __snake_case	)						->   List[str]:





			for param in module.parameters():
						__lowerCAmelCase      :  Union[str, Any]												=       False


def 			_lowercase				(  )						->   Dict:
			__lowerCAmelCase      :  Optional[int]												=       "cuda" if torch.cuda.is_available() else "cpu"
			if torch.backends.mps.is_available() and torch.backends.mps.is_built():
						__lowerCAmelCase      :  Dict												=       "mps"
			if device == "mps":
						print(
						    "WARNING: MPS currently doesn't seem to work, and messes up backpropagation without any visible torch"
						    " errors. I recommend using CUDA on a colab notebook or CPU instead if you're facing inexplicable issues"
						    " with generations."	)
			return device


def 			_lowercase				(  __snake_case	)						->   str:
			__lowerCAmelCase      :  Any												=       plt.imshow(__UpperCamelCase	)
			fig.axes.get_xaxis().set_visible(__UpperCamelCase	)
			fig.axes.get_yaxis().set_visible(__UpperCamelCase	)
			plt.show()





def 			_lowercase				(  )						->   Tuple:
			__lowerCAmelCase      :  Any												=       datetime.now()
			__lowerCAmelCase      :  str												=       current_time.strftime("%H:%M:%S"	)
			return timestamp
import warnings

from ..trainer import Trainer
from ..utils import logging


__lowerCamelCase			: List[Any]							   =		logging.get_logger(__name__)







class __snake_case				(						lowerCamelCase_		):




   def __init__(    self			:				Tuple       ,	_lowercase			:				Optional[int]=None       ,	**_lowercase			:				List[Any]      ):



     """simple docstring"""






     warnings.warn(
         """`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` """
         """instead."""       ,	_lowercase       ,	)
     super().__init__(args=_lowercase       ,	**_lowercase      )
