




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


snake_case_  :      Optional[int]		=		logging.get_logger(__name__)

snake_case_  :      Union[str, Any]		=		{
    "CarlCochet/trajectory-transformer-halfcheetah-medium-v2": (
        "https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json"
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}





class 					snake_case_   (     __lowerCAmelCase	):



				'''simple docstring'''
				lowerCamelCase       =  '''trajectory_transformer'''
				lowerCamelCase       =  ['''past_key_values''']
				lowerCamelCase       =  {
				    '''hidden_size''': '''n_embd''',
				    '''num_attention_heads''': '''n_head''',
				    '''num_hidden_layers''': '''n_layer''',
				}





				def __init__(      self							:   int      ,							__magic_name__							:   Dict=100      ,							__magic_name__							:   Optional[int]=5      ,							__magic_name__							:   Optional[Any]=1      ,							__magic_name__							:   List[Any]=1      ,							__magic_name__							:   List[str]=249      ,							__magic_name__							:   List[Any]=6      ,							__magic_name__							:   Tuple=17      ,							__magic_name__							:   List[Any]=25      ,							__magic_name__							:   Tuple=4      ,							__magic_name__							:   Dict=4      ,							__magic_name__							:   int=128      ,							__magic_name__							:   Union[str, Any]=0.1      ,							__magic_name__							:   Any=0.1      ,							__magic_name__							:   Tuple=0.1      ,							__magic_name__							:   Optional[Any]=0.0006      ,							__magic_name__							:   Tuple=512      ,							__magic_name__							:   int=0.02      ,							__magic_name__							:   List[Any]=1e-12      ,							__magic_name__							:   Optional[Any]=1      ,							__magic_name__							:   Optional[int]=True      ,							__magic_name__							:   int=1      ,							__magic_name__							:   Optional[Any]=5_0256      ,							__magic_name__							:   List[str]=5_0256      ,							**__magic_name__							:   Optional[Any]      ,							)							->			int:
											lowerCamelCase_			:    List[Any]   						=      vocab_size
											lowerCamelCase_			:    Optional[int]   						=      action_weight
											lowerCamelCase_			:    Dict   						=      reward_weight
											lowerCamelCase_			:    Optional[int]   						=      value_weight
											lowerCamelCase_			:    int   						=      max_position_embeddings
											lowerCamelCase_			:    Union[str, Any]   						=      block_size
											lowerCamelCase_			:    Optional[Any]   						=      action_dim
											lowerCamelCase_			:    Union[str, Any]   						=      observation_dim
											lowerCamelCase_			:    List[Any]   						=      transition_dim
											lowerCamelCase_			:    str   						=      learning_rate
											lowerCamelCase_			:    Any   						=      n_layer
											lowerCamelCase_			:    List[str]   						=      n_head
											lowerCamelCase_			:    List[str]   						=      n_embd
											lowerCamelCase_			:    Optional[int]   						=      embd_pdrop
											lowerCamelCase_			:    Tuple   						=      attn_pdrop
											lowerCamelCase_			:    Optional[Any]   						=      resid_pdrop
											lowerCamelCase_			:    int   						=      initializer_range
											lowerCamelCase_			:    Dict   						=      layer_norm_eps
											lowerCamelCase_			:    str   						=      kaiming_initializer_range
											lowerCamelCase_			:    Any   						=      use_cache
											super().__init__(pad_token_id=_UpperCAmelCase      ,							bos_token_id=_UpperCAmelCase      ,							eos_token_id=_UpperCAmelCase      ,							**_UpperCAmelCase							)







"""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__)

