


"""simple docstring"""



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


A__	:    List[str]			 = logging.get_logger(__name__)

A__	:    str			 = {
    '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        lowercase__      (							UpperCAmelCase_       ):
			_UpperCAmelCase		:str             =			"""trajectory_transformer"""
			_UpperCAmelCase		:List[Any]             =			["""past_key_values"""]
			_UpperCAmelCase		:Optional[int]             =			{
			    """hidden_size""": """n_embd""",
			    """num_attention_heads""": """n_head""",
			    """num_hidden_layers""": """n_layer""",
			}


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











"""simple docstring"""



# 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
import os

from accelerate.test_utils import execute_subprocess_async

def 			_snake_case    (					lowerCamelCase__     :   int=None  )    ->     Union[str, Any]:
							if subparsers is not None:
														lowerCamelCase_	:							List[Any]									=subparsers.add_parser("test"  )
							else:
														lowerCamelCase_	:							List[str]									=argparse.ArgumentParser("Accelerate test command"  )

							parser.add_argument(
							    "--config_file"    ,						default=lowerCamelCase__    ,						help=(
							        "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
							        "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
							        "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
							        "with 'huggingface'."
							    )    ,						)

							if subparsers is not None:
														parser.set_defaults(func=lowerCamelCase__  )
							return parser

def 			_snake_case    (					lowerCamelCase__     :   List[Any]  )    ->     Any:
							lowerCamelCase_	:							Optional[Any]									=os.path.sep.join(__file__.split(os.path.sep  )[:-2] + ["test_utils", "scripts", "test_script.py"]  )

							if args.config_file is None:
														lowerCamelCase_	:							List[Any]									=script_name
							else:
														lowerCamelCase_	:							Union[str, Any]									=F"""--config_file={args.config_file} {script_name}"""

							lowerCamelCase_	:							List[str]									=["accelerate-launch"] + test_args.split()
							lowerCamelCase_	:							Tuple									=execute_subprocess_async(lowerCamelCase__    ,						env=os.environ.copy()  )
							if result.returncode == 0:
														print("Test is a success! You are ready for your distributed training!"  )

def 			_snake_case    (					)    ->     Tuple:
							lowerCamelCase_	:							Any									=test_command_parser()
							lowerCamelCase_	:							List[Any]									=parser.parse_args()
							test_command(lowerCamelCase__  )


if __name__ == "__main__":
						main()



