code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowerCamelCase_     :     List[Any]    		=						logging.get_logger(__name__)
  
  lowerCamelCase_     :     Union[str, Any]    		=						{
      """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json"""
      # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
  }
  
  
  
  
  
  
  class    __A       ( _SCREAMING_SNAKE_CASE    ):
  
  
  
  
  
  
   """simple docstring"""
  
  
  
  
   __lowerCAmelCase				      =						"cpmant"
  
  
   def __init__(	self				,					__A = 3_0720				,					__A = 4096				,					__A = 32				,					__A = 128				,					__A = 1_0240				,					__A = 48				,					__A = 0.0				,					__A = 512				,					__A = 2048				,					__A = 1E-6				,					__A = 1.0				,					__A = 32				,					__A = 32				,					__A = 32				,					__A = True				,					**__A				,					)      ->  List[str]:
       super().__init__(**__A		)
       a					=prompt_types
       a					=prompt_length
       a					=segment_types
       a					=hidden_size
       a					=num_attention_heads
       a					=dim_head
       a					=dim_ff
       a					=num_hidden_layers
       a					=position_bias_num_buckets
       a					=position_bias_max_distance
       a					=dropout_p
       a					=eps
       a					=use_cache
       a					=vocab_size
       a					=init_std
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  lowerCamelCase_     :     Any    		=						{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}
  
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowerCamelCase_     :     List[str]    		=						[
             """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
             """DinatForImageClassification""",
             """DinatModel""",
             """DinatPreTrainedModel""",
             """DinatBackbone""",
         ]
  
  if TYPE_CHECKING:
         from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_dinat import (
                    DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DinatBackbone,
                    DinatForImageClassification,
                    DinatModel,
                    DinatPreTrainedModel,
                )
  
  else:
         import sys
  
         lowerCamelCase_     :     List[Any]    		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)