





from datetime import datetime

import matplotlib.pyplot as plt
import torch





def      _lowercase					(						_UpperCAmelCase				)						->  Any:
				for param in module.parameters():
								lowerCamelCase	 =False





def      _lowercase					(						)						->  Optional[int]:
				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      _lowercase					(						_UpperCAmelCase				)						->  List[str]:
				lowerCamelCase	 =plt.imshow(_UpperCAmelCase				)
				fig.axes.get_xaxis().set_visible(_UpperCAmelCase				)
				fig.axes.get_yaxis().set_visible(_UpperCAmelCase				)
				plt.show()





def      _lowercase					(						)						->  Union[str, Any]:
				lowerCamelCase	 =datetime.now()
				lowerCamelCase	 =current_time.strftime("""%H:%M:%S"""				)
				return timestamp












from abc import ABC, abstractmethod
from argparse import ArgumentParser

class       __A     (						a    ):


				@staticmethod
				@abstractmethod
				def _snake_case       (		UpperCAmelCase_							):
								raise NotImplementedError()


				@abstractmethod
				def _snake_case       (		self							):
								raise NotImplementedError()





