



from datetime import datetime

import matplotlib.pyplot as plt
import torch






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Tuple	)  ->						Union[str, Any]:
					for param in module.parameters():
										__lowerCAmelCase	   =False






def 					__lowerCAmelCase		(  )  ->						List[str]:
					__lowerCAmelCase	   ="""cuda""" if torch.cuda.is_available() else """cpu"""
					if torch.backends.mps.is_available() and torch.backends.mps.is_built():
										__lowerCAmelCase	   ="""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 					__lowerCAmelCase		(  __lowerCamelCase	:    Optional[Any]	)  ->						str:
					__lowerCAmelCase	   =plt.imshow(__lowerCamelCase	)
					fig.axes.get_xaxis().set_visible(__lowerCamelCase	)
					fig.axes.get_yaxis().set_visible(__lowerCamelCase	)
					plt.show()






def 					__lowerCAmelCase		(  )  ->						Dict:
					__lowerCAmelCase	   =datetime.now()
					__lowerCAmelCase	   =current_time.strftime("""%H:%M:%S"""	)
					return timestamp









import os
from typing import Dict, List, Tuple, TypeVar, Union


lowercase_	       =			TypeVar('''T''')

lowercase_	       =			Union[List[T], Tuple[T, ...]]
lowercase_	       =			Union[T, List[T], Dict[str, T]]
lowercase_	       =			Union[str, bytes, os.PathLike]




