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


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

__UpperCamelCase	: Dict    		=  {
    '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       lowercase__		(     UpperCamelCase_):
						UpperCamelCase_  =	"""decision_transformer"""
						UpperCamelCase_  =	["""past_key_values"""]
						UpperCamelCase_  =	{
						    """max_position_embeddings""": """n_positions""",
						    """num_attention_heads""": """n_head""",
						    """num_hidden_layers""": """n_layer""",
						}


						def __init__( self			:       str					,	UpperCamelCase__			:       Optional[int]=17					,	UpperCamelCase__			:       int=4					,	UpperCamelCase__			:       Any=128					,	UpperCamelCase__			:       Dict=4096					,	UpperCamelCase__			:       Union[str, Any]=True					,	UpperCamelCase__			:       str=1					,	UpperCamelCase__			:       List[Any]=1024					,	UpperCamelCase__			:       Union[str, Any]=3					,	UpperCamelCase__			:       Optional[int]=1					,	UpperCamelCase__			:       Union[str, Any]=None					,	UpperCamelCase__			:       Union[str, Any]="relu"					,	UpperCamelCase__			:       Tuple=0.1					,	UpperCamelCase__			:       str=0.1					,	UpperCamelCase__			:       str=0.1					,	UpperCamelCase__			:       Optional[int]=1E-5					,	UpperCamelCase__			:       Union[str, Any]=0.02					,	UpperCamelCase__			:       Union[str, Any]=True					,	UpperCamelCase__			:       Dict=True					,	UpperCamelCase__			:       List[str]=5_0256					,	UpperCamelCase__			:       int=5_0256					,	UpperCamelCase__			:       List[Any]=False					,	UpperCamelCase__			:       Any=False					,	**UpperCamelCase__			:       Optional[int]					,	):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					int           =							state_dim
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							act_dim
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							hidden_size
												SCREAMING_SNAKE_CASE							:					Any           =							max_ep_len
												SCREAMING_SNAKE_CASE							:					List[str]           =							action_tanh
												SCREAMING_SNAKE_CASE							:					str           =							vocab_size
												SCREAMING_SNAKE_CASE							:					Tuple           =							n_positions
												SCREAMING_SNAKE_CASE							:					List[Any]           =							n_layer
												SCREAMING_SNAKE_CASE							:					str           =							n_head
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							n_inner
												SCREAMING_SNAKE_CASE							:					List[str]           =							activation_function
												SCREAMING_SNAKE_CASE							:					int           =							resid_pdrop
												SCREAMING_SNAKE_CASE							:					Any           =							embd_pdrop
												SCREAMING_SNAKE_CASE							:					str           =							attn_pdrop
												SCREAMING_SNAKE_CASE							:					Tuple           =							layer_norm_epsilon
												SCREAMING_SNAKE_CASE							:					int           =							initializer_range
												SCREAMING_SNAKE_CASE							:					List[str]           =							scale_attn_weights
												SCREAMING_SNAKE_CASE							:					List[Any]           =							use_cache
												SCREAMING_SNAKE_CASE							:					List[Any]           =							scale_attn_by_inverse_layer_idx
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							reorder_and_upcast_attn

												SCREAMING_SNAKE_CASE							:					Dict           =							bos_token_id
												SCREAMING_SNAKE_CASE							:					Tuple           =							eos_token_id

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






# Copyright 2021 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.

import argparse

from ...utils.dataclasses import (
    ComputeEnvironment,
    DistributedType,
    DynamoBackend,
    PrecisionType,
    SageMakerDistributedType,
)
from ..menu import BulletMenu


__UpperCamelCase	: Dict    		=  [
    'EAGER',
    'AOT_EAGER',
    'INDUCTOR',
    'NVFUSER',
    'AOT_NVFUSER',
    'AOT_CUDAGRAPHS',
    'OFI',
    'FX2TRT',
    'ONNXRT',
    'IPEX',
]
def    A			(					_lowercase	,						_lowercase=None	,						_lowercase=None	,						_lowercase=None		):
						SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							True
						while ask_again:
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							input(_lowercase		)
												try:
																		if default is not None and len(_lowercase		) == 0:
																								return default
																		return convert_value(_lowercase		) if convert_value is not None else result
												except Exception:
																		if error_message is not None:
																								print(_lowercase		)
def    A			(					_lowercase	,						_lowercase=[]	,						_lowercase=None	,						_lowercase=0		):
						SCREAMING_SNAKE_CASE							:					Dict           =							BulletMenu(_lowercase	,						_lowercase		)
						SCREAMING_SNAKE_CASE							:					str           =							menu.run(default_choice=_lowercase		)
						return convert_value(_lowercase		) if convert_value is not None else result
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Dict           =							int(_lowercase		)
						return ComputeEnvironment(['''LOCAL_MACHINE''', '''AMAZON_SAGEMAKER'''][value]		)
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Any           =							int(_lowercase		)
						return DistributedType(['''NO''', '''MULTI_CPU''', '''MULTI_XPU''', '''MULTI_GPU''', '''MULTI_NPU''', '''TPU'''][value]		)
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							int(_lowercase		)
						return DynamoBackend(DYNAMO_BACKENDS[value]		).value
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							int(_lowercase		)
						return PrecisionType(['''no''', '''fp16''', '''bf16''', '''fp8'''][value]		)
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Dict           =							int(_lowercase		)
						return SageMakerDistributedType(['''NO''', '''DATA_PARALLEL''', '''MODEL_PARALLEL'''][value]		)
def    A			(					_lowercase		):
						return {"yes": True, "no": False}[value.lower()]





class       lowercase__		(     argparse.RawDescriptionHelpFormatter):


						def  __A ( self			:       List[str]					,	UpperCamelCase__			:       List[str]					,	UpperCamelCase__			:       Dict					,	UpperCamelCase__			:       Dict					,	UpperCamelCase__			:       Dict		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					str           =							super()._format_usage(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							usage.replace('''<command> [<args>] '''					,	''''''		)
												return usage





