
from ...configuration_utils import PretrainedConfig



class    _snake_case (						UpperCAmelCase_				):
 __lowerCAmelCase	:  str	   =      'bert-generation'


 def __init__(       self       ,	SCREAMING_SNAKE_CASE_=5_03_58       ,	SCREAMING_SNAKE_CASE_=10_24       ,	SCREAMING_SNAKE_CASE_=24       ,	SCREAMING_SNAKE_CASE_=16       ,	SCREAMING_SNAKE_CASE_=40_96       ,	SCREAMING_SNAKE_CASE_="gelu"       ,	SCREAMING_SNAKE_CASE_=0.1       ,	SCREAMING_SNAKE_CASE_=0.1       ,	SCREAMING_SNAKE_CASE_=5_12       ,	SCREAMING_SNAKE_CASE_=0.0_2       ,	SCREAMING_SNAKE_CASE_=1E-12       ,	SCREAMING_SNAKE_CASE_=0       ,	SCREAMING_SNAKE_CASE_=2       ,	SCREAMING_SNAKE_CASE_=1       ,	SCREAMING_SNAKE_CASE_="absolute"       ,	SCREAMING_SNAKE_CASE_=True       ,	**SCREAMING_SNAKE_CASE_       ,	):


   '''simple docstring'''




   super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_       ,	bos_token_id=SCREAMING_SNAKE_CASE_       ,	eos_token_id=SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

   lowercase__	: Dict     		=   vocab_size
   lowercase__	: List[Any]     		=   hidden_size
   lowercase__	: Union[str, Any]     		=   num_hidden_layers
   lowercase__	: Union[str, Any]     		=   num_attention_heads
   lowercase__	: Dict     		=   hidden_act
   lowercase__	: Optional[int]     		=   intermediate_size
   lowercase__	: Union[str, Any]     		=   hidden_dropout_prob
   lowercase__	: int     		=   attention_probs_dropout_prob
   lowercase__	: Any     		=   max_position_embeddings
   lowercase__	: Union[str, Any]     		=   initializer_range
   lowercase__	: Dict     		=   layer_norm_eps
   lowercase__	: List[Any]     		=   position_embedding_type
   lowercase__	: Dict     		=   use_cache







'''simple docstring'''






import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Union[str, Any]				):
     return EnvironmentCommand()







class lowercase_       (		_UpperCamelCase			):







   """simple docstring"""

   @staticmethod
   def 	__UpperCAmelCase   (      UpperCamelCase__      :			ArgumentParser     )  ->			List[str]:
        _A    		=  parser.add_parser('env'     )
        download_parser.set_defaults(func=UpperCamelCase__     )
   def 	__UpperCAmelCase   (      self      :			Optional[int]     )  ->			Optional[Any]:
        _A    		=  huggingface_hub.__version__

        _A    		=  'not installed'
        _A    		=  'NA'
        if is_torch_available():
             import torch

             _A    		=  torch.__version__
             _A    		=  torch.cuda.is_available()

        _A    		=  'not installed'
        if is_transformers_available():
             import transformers

             _A    		=  transformers.__version__

        _A    		=  'not installed'
        if is_accelerate_available():
             import accelerate

             _A    		=  accelerate.__version__

        _A    		=  'not installed'
        if is_xformers_available():
             import xformers

             _A    		=  xformers.__version__

        _A    		=  {
            '`diffusers` version': version,
            'Platform': platform.platform(),
            'Python version': platform.python_version(),
            'PyTorch version (GPU?)': f'{pt_version} ({pt_cuda_available})',
            'Huggingface_hub version': hub_version,
            'Transformers version': transformers_version,
            'Accelerate version': accelerate_version,
            'xFormers version': xformers_version,
            'Using GPU in script?': '<fill in>',
            'Using distributed or parallel set-up in script?': '<fill in>',
        }

        print('\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'     )
        print(self.format_dict(UpperCamelCase__     )     )

        return info

   @staticmethod
   def 	__UpperCAmelCase   (      UpperCamelCase__      :			List[Any]     )  ->			Dict:
        return "\n".join([f'- {prop}: {val}' for prop, val in d.items()]     ) + "\n"



