

"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase =				logging.get_logger(__name__)

__UpperCAmelCase =				{
    'edbeeching/decision-transformer-gym-hopper-medium': (
        'https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}







class      __lowercase			(    __lowerCamelCase					):
  snake_case_				       =       """decision_transformer"""
  snake_case_				       =       ["""past_key_values"""]
  snake_case_				       =       {
      """max_position_embeddings""": """n_positions""",
      """num_attention_heads""": """n_head""",
      """num_hidden_layers""": """n_layer""",
  }

  def __init__(  self		:			Any					,A		:			Any=17					,A		:			List[str]=4					,A		:			Any=128					,A		:			Union[str, Any]=4_096					,A		:			Optional[int]=True					,A		:			Any=1					,A		:			Optional[int]=1_024					,A		:			Tuple=3					,A		:			Optional[int]=1					,A		:			Tuple=None					,A		:			Optional[int]="relu"					,A		:			Optional[Any]=0.1					,A		:			Tuple=0.1					,A		:			List[str]=0.1					,A		:			Tuple=1e-5					,A		:			List[Any]=0.0_2					,A		:			List[Any]=True					,A		:			Union[str, Any]=True					,A		:			Optional[int]=50_256					,A		:			Optional[int]=50_256					,A		:			Optional[Any]=False					,A		:			str=False					,**A		:			Union[str, Any]					,):






   '''simple docstring'''
   UpperCAmelCase__					:  Dict					   =					state_dim
   UpperCAmelCase__					:  int					   =					act_dim
   UpperCAmelCase__					:  Any					   =					hidden_size
   UpperCAmelCase__					:  Dict					   =					max_ep_len
   UpperCAmelCase__					:  Dict					   =					action_tanh
   UpperCAmelCase__					:  str					   =					vocab_size
   UpperCAmelCase__					:  List[Any]					   =					n_positions
   UpperCAmelCase__					:  Optional[int]					   =					n_layer
   UpperCAmelCase__					:  Tuple					   =					n_head
   UpperCAmelCase__					:  Dict					   =					n_inner
   UpperCAmelCase__					:  Dict					   =					activation_function
   UpperCAmelCase__					:  List[Any]					   =					resid_pdrop
   UpperCAmelCase__					:  Optional[int]					   =					embd_pdrop
   UpperCAmelCase__					:  Dict					   =					attn_pdrop
   UpperCAmelCase__					:  Union[str, Any]					   =					layer_norm_epsilon
   UpperCAmelCase__					:  Any					   =					initializer_range
   UpperCAmelCase__					:  Dict					   =					scale_attn_weights
   UpperCAmelCase__					:  List[str]					   =					use_cache
   UpperCAmelCase__					:  Optional[Any]					   =					scale_attn_by_inverse_layer_idx
   UpperCAmelCase__					:  List[Any]					   =					reorder_and_upcast_attn

   UpperCAmelCase__					:  Optional[int]					   =					bos_token_id
   UpperCAmelCase__					:  List[str]					   =					eos_token_id

   super().__init__(bos_token_id=A					,eos_token_id=A					,**A    )








"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase =				logging.get_logger(__name__)

__UpperCAmelCase =				{
    'microsoft/markuplm-base': 'https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json',
    'microsoft/markuplm-large': 'https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json',
}







class      __lowercase			(    __lowerCamelCase					):
  snake_case_				       =       """markuplm"""

  def __init__(  self		:			str					,A		:			List[Any]=30_522					,A		:			Tuple=768					,A		:			str=12					,A		:			int=12					,A		:			int=3_072					,A		:			Optional[int]="gelu"					,A		:			Optional[int]=0.1					,A		:			Optional[int]=0.1					,A		:			Any=512					,A		:			Any=2					,A		:			str=0.0_2					,A		:			int=1e-12					,A		:			int=0					,A		:			str=0					,A		:			List[Any]=2					,A		:			List[str]=256					,A		:			Union[str, Any]=1_024					,A		:			List[Any]=216					,A		:			Any=1_001					,A		:			Optional[int]=32					,A		:			Any=50					,A		:			int="absolute"					,A		:			Dict=True					,A		:			int=None					,**A		:			Optional[int]					,):






   '''simple docstring'''
   super().__init__(
       pad_token_id=A					,bos_token_id=A					,eos_token_id=A					,**A					,)
   UpperCAmelCase__					:  Dict					   =					vocab_size
   UpperCAmelCase__					:  Union[str, Any]					   =					hidden_size
   UpperCAmelCase__					:  Optional[int]					   =					num_hidden_layers
   UpperCAmelCase__					:  Tuple					   =					num_attention_heads
   UpperCAmelCase__					:  Optional[Any]					   =					hidden_act
   UpperCAmelCase__					:  Any					   =					intermediate_size
   UpperCAmelCase__					:  Dict					   =					hidden_dropout_prob
   UpperCAmelCase__					:  Optional[Any]					   =					attention_probs_dropout_prob
   UpperCAmelCase__					:  Optional[int]					   =					max_position_embeddings
   UpperCAmelCase__					:  Dict					   =					type_vocab_size
   UpperCAmelCase__					:  Optional[Any]					   =					initializer_range
   UpperCAmelCase__					:  str					   =					layer_norm_eps
   UpperCAmelCase__					:  Any					   =					position_embedding_type
   UpperCAmelCase__					:  int					   =					use_cache
   UpperCAmelCase__					:  List[str]					   =					classifier_dropout
   # additional properties
   UpperCAmelCase__					:  Optional[int]					   =					max_depth
   UpperCAmelCase__					:  List[str]					   =					max_xpath_tag_unit_embeddings
   UpperCAmelCase__					:  Any					   =					max_xpath_subs_unit_embeddings
   UpperCAmelCase__					:  str					   =					tag_pad_id
   UpperCAmelCase__					:  Dict					   =					subs_pad_id
   UpperCAmelCase__					:  List[str]					   =					xpath_unit_hidden_size





