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


lowerCamelCase_						     =					logging.get_logger(__name__)

lowerCamelCase_						     =					{
    '''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      __A(    __lowerCamelCase			):

  """simple docstring"""
  SCREAMING_SNAKE_CASE__         =      """trajectory_transformer"""
  SCREAMING_SNAKE_CASE__         =      ["""past_key_values"""]
  SCREAMING_SNAKE_CASE__         =      {
      """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_	,      ):
       UpperCamelCase__				=    vocab_size
       UpperCamelCase__				=    action_weight
       UpperCamelCase__				=    reward_weight
       UpperCamelCase__				=    value_weight
       UpperCamelCase__				=    max_position_embeddings
       UpperCamelCase__				=    block_size
       UpperCamelCase__				=    action_dim
       UpperCamelCase__				=    observation_dim
       UpperCamelCase__				=    transition_dim
       UpperCamelCase__				=    learning_rate
       UpperCamelCase__				=    n_layer
       UpperCamelCase__				=    n_head
       UpperCamelCase__				=    n_embd
       UpperCamelCase__				=    embd_pdrop
       UpperCamelCase__				=    attn_pdrop
       UpperCamelCase__				=    resid_pdrop
       UpperCamelCase__				=    initializer_range
       UpperCamelCase__				=    layer_norm_eps
       UpperCamelCase__				=    kaiming_initializer_range
       UpperCamelCase__				=    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_						)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase_						     =					{
    '''configuration_canine''': ['''CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CanineConfig'''],
    '''tokenization_canine''': ['''CanineTokenizer'''],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_						     =					[
        '''CANINE_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''CanineForMultipleChoice''',
        '''CanineForQuestionAnswering''',
        '''CanineForSequenceClassification''',
        '''CanineForTokenClassification''',
        '''CanineLayer''',
        '''CanineModel''',
        '''CaninePreTrainedModel''',
        '''load_tf_weights_in_canine''',
    ]


if TYPE_CHECKING:
    from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
    from .tokenization_canine import CanineTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_canine import (
            CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
            CanineForMultipleChoice,
            CanineForQuestionAnswering,
            CanineForSequenceClassification,
            CanineForTokenClassification,
            CanineLayer,
            CanineModel,
            CaninePreTrainedModel,
            load_tf_weights_in_canine,
        )


else:
    import sys

    lowerCamelCase_						     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





