





"""simple docstring"""






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


lowerCAmelCase_			=							logging.get_logger(__name__)

lowerCAmelCase_			=							{
    """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 	lowerCAmelCase					(      UpperCamelCase_							):
							lowerCAmelCase__						 =  """decision_transformer"""
							lowerCAmelCase__						 =  ["""past_key_values"""]
							lowerCAmelCase__						 =  {
							    """max_position_embeddings""": """n_positions""",
							    """num_attention_heads""": """n_head""",
							    """num_hidden_layers""": """n_layer""",
							}






							def __init__(   self    ,  a__=17    ,  a__=4    ,  a__=1_28    ,  a__=40_96    ,  a__=True    ,  a__=1    ,  a__=10_24    ,  a__=3    ,  a__=1    ,  a__=None    ,  a__="relu"    ,  a__=0.1    ,  a__=0.1    ,  a__=0.1    ,  a__=1E-5    ,  a__=0.02    ,  a__=True    ,  a__=True    ,  a__=5_02_56    ,  a__=5_02_56    ,  a__=False    ,  a__=False    ,  **a__    ,  ):
														_UpperCAmelCase     =     state_dim
														_UpperCAmelCase     =     act_dim
														_UpperCAmelCase     =     hidden_size
														_UpperCAmelCase     =     max_ep_len
														_UpperCAmelCase     =     action_tanh
														_UpperCAmelCase     =     vocab_size
														_UpperCAmelCase     =     n_positions
														_UpperCAmelCase     =     n_layer
														_UpperCAmelCase     =     n_head
														_UpperCAmelCase     =     n_inner
														_UpperCAmelCase     =     activation_function
														_UpperCAmelCase     =     resid_pdrop
														_UpperCAmelCase     =     embd_pdrop
														_UpperCAmelCase     =     attn_pdrop
														_UpperCAmelCase     =     layer_norm_epsilon
														_UpperCAmelCase     =     initializer_range
														_UpperCAmelCase     =     scale_attn_weights
														_UpperCAmelCase     =     use_cache
														_UpperCAmelCase     =     scale_attn_by_inverse_layer_idx
														_UpperCAmelCase     =     reorder_and_upcast_attn

														_UpperCAmelCase     =     bos_token_id
														_UpperCAmelCase     =     eos_token_id

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













"""simple docstring"""






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase_			=							{'''configuration_timm_backbone''': ['''TimmBackboneConfig''']}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_			=							['''TimmBackbone''']


if TYPE_CHECKING:
    from .configuration_timm_backbone import TimmBackboneConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_timm_backbone import TimmBackbone

else:
    import sys

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






