
"""simple docstring"""




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


UpperCAmelCase__      :    str    							= logging.get_logger(__name__)

UpperCAmelCase__      :    int    							= {
    '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 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						Optional[Any]					       =   '''trajectory_transformer'''
				__UpperCamelCase      :						str					       =   ['''past_key_values''']
				__UpperCamelCase      :						Optional[Any]					       =   {
				    '''hidden_size''': '''n_embd''',
				    '''num_attention_heads''': '''n_head''',
				    '''num_hidden_layers''': '''n_layer''',
				}



				def __init__(self   ,       SCREAMING_SNAKE_CASE__=1_00   ,       SCREAMING_SNAKE_CASE__=5   ,       SCREAMING_SNAKE_CASE__=1   ,       SCREAMING_SNAKE_CASE__=1   ,       SCREAMING_SNAKE_CASE__=2_49   ,       SCREAMING_SNAKE_CASE__=6   ,       SCREAMING_SNAKE_CASE__=17   ,       SCREAMING_SNAKE_CASE__=25   ,       SCREAMING_SNAKE_CASE__=4   ,       SCREAMING_SNAKE_CASE__=4   ,       SCREAMING_SNAKE_CASE__=1_28   ,       SCREAMING_SNAKE_CASE__=0.1   ,       SCREAMING_SNAKE_CASE__=0.1   ,       SCREAMING_SNAKE_CASE__=0.1   ,       SCREAMING_SNAKE_CASE__=0.0006   ,       SCREAMING_SNAKE_CASE__=5_12   ,       SCREAMING_SNAKE_CASE__=0.02   ,       SCREAMING_SNAKE_CASE__=1E-12   ,       SCREAMING_SNAKE_CASE__=1   ,       SCREAMING_SNAKE_CASE__=True   ,       SCREAMING_SNAKE_CASE__=1   ,       SCREAMING_SNAKE_CASE__=5_02_56   ,       SCREAMING_SNAKE_CASE__=5_02_56   ,       **SCREAMING_SNAKE_CASE__   ,       )					->		str:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   vocab_size
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   action_weight
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   reward_weight
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   value_weight
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   max_position_embeddings
											SCREAMING_SNAKE_CASE__						:       Dict           =   block_size
											SCREAMING_SNAKE_CASE__						:       Tuple           =   action_dim
											SCREAMING_SNAKE_CASE__						:       List[str]           =   observation_dim
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   transition_dim
											SCREAMING_SNAKE_CASE__						:       List[str]           =   learning_rate
											SCREAMING_SNAKE_CASE__						:       Dict           =   n_layer
											SCREAMING_SNAKE_CASE__						:       Dict           =   n_head
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   n_embd
											SCREAMING_SNAKE_CASE__						:       str           =   embd_pdrop
											SCREAMING_SNAKE_CASE__						:       int           =   attn_pdrop
											SCREAMING_SNAKE_CASE__						:       Any           =   resid_pdrop
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   initializer_range
											SCREAMING_SNAKE_CASE__						:       str           =   layer_norm_eps
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   kaiming_initializer_range
											SCREAMING_SNAKE_CASE__						:       int           =   use_cache
											super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__   ,       bos_token_id=SCREAMING_SNAKE_CASE__   ,       eos_token_id=SCREAMING_SNAKE_CASE__   ,       **SCREAMING_SNAKE_CASE__    )






"""simple docstring"""




UpperCAmelCase__      :    Any    							= '\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

UpperCAmelCase__      :    Any    							= [{'type': 'code', 'content': INSTALL_CONTENT}]
UpperCAmelCase__      :    Optional[int]    							= {
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}




