

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


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {
    '''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       SCREAMING_SNAKE_CASE__					(__snake_case     ):
    __lowerCamelCase						:       Optional[Any]														=     """trajectory_transformer"""
    __lowerCamelCase						:       Dict														=     ["""past_key_values"""]
    __lowerCamelCase						:       List[Any]														=     {
        """hidden_size""": """n_embd""",
        """num_attention_heads""": """n_head""",
        """num_hidden_layers""": """n_layer""",
    }





    def __init__(      self						,   a=100						,   a=5						,   a=1						,   a=1						,   a=249						,   a=6						,   a=17						,   a=25						,   a=4						,   a=4						,   a=128						,   a=0.1						,   a=0.1						,   a=0.1						,   a=0.0_006						,   a=512						,   a=0.02						,   a=1e-12						,   a=1						,   a=True						,   a=1						,   a=5_0256						,   a=5_0256						,   **a						,   ):
         lowercase__    :   List[str]      =       vocab_size
         lowercase__    :   int      =       action_weight
         lowercase__    :   Dict      =       reward_weight
         lowercase__    :   Optional[Any]      =       value_weight
         lowercase__    :   Union[str, Any]      =       max_position_embeddings
         lowercase__    :   Any      =       block_size
         lowercase__    :   Any      =       action_dim
         lowercase__    :   int      =       observation_dim
         lowercase__    :   Optional[Any]      =       transition_dim
         lowercase__    :   Union[str, Any]      =       learning_rate
         lowercase__    :   int      =       n_layer
         lowercase__    :   Any      =       n_head
         lowercase__    :   Optional[int]      =       n_embd
         lowercase__    :   int      =       embd_pdrop
         lowercase__    :   Optional[int]      =       attn_pdrop
         lowercase__    :   Dict      =       resid_pdrop
         lowercase__    :   Union[str, Any]      =       initializer_range
         lowercase__    :   Any      =       layer_norm_eps
         lowercase__    :   str      =       kaiming_initializer_range
         lowercase__    :   str      =       use_cache
         super().__init__(pad_token_id=a						,   bos_token_id=a						,   eos_token_id=a						,   **a)




import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


snake_case_			  = logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





    def __init__(      self						,   *a						,   **a):
         warnings.warn(
             'The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use DPTImageProcessor instead.'						,   a						,   )
         super().__init__(*a						,   **a)

