




from datetime import datetime

import matplotlib.pyplot as plt
import torch



def        __a							(  __UpperCAmelCase		:						Dict      ) ->					Optional[Any]:
							"""simple docstring"""




							for param in module.parameters():
														lowerCamelCase_			:    Any   						=      False



def        __a							(  ) ->					Tuple:
							"""simple docstring"""




							lowerCamelCase_			:    str   						=      "cuda" if torch.cuda.is_available() else "cpu"
							if torch.backends.mps.is_available() and torch.backends.mps.is_built():
														lowerCamelCase_			:    Union[str, Any]   						=      "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        __a							(  __UpperCAmelCase		:						Dict      ) ->					Optional[Any]:
							"""simple docstring"""




							lowerCamelCase_			:    Optional[Any]   						=      plt.imshow(_snake_case      )
							fig.axes.get_xaxis().set_visible(_snake_case      )
							fig.axes.get_yaxis().set_visible(_snake_case      )
							plt.show()





def        __a							(  ) ->					Optional[Any]:
							"""simple docstring"""




							lowerCamelCase_			:    List[str]   						=      datetime.now()
							lowerCamelCase_			:    Union[str, Any]   						=      current_time.strftime("%H:%M:%S"      )
							return timestamp







"""simple docstring"""

from typing import TYPE_CHECKING

from ..utils import _LazyModule


a							      =     {
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
       from .config import (
           EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
           OnnxConfig,
           OnnxConfigWithPast,
           OnnxSeqaSeqConfigWithPast,
           PatchingSpec,
       )
       from .convert import export, validate_model_outputs
       from .features import FeaturesManager
       from .utils import ParameterFormat, compute_serialized_parameters_size

else:
       import sys

       a							      =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

