





from typing import List, Union

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


__lowercase							:Dict							=	logging.get_logger(__name__)

__lowercase							:Optional[Any]							=	{
    '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/config.json''',
    # See all LED models at https://huggingface.co/models?filter=led
}



class  _a  (					__UpperCamelCase				):






							"""simple docstring"""

							snake_case_							=    'led'
							snake_case_							=    {
							    'num_attention_heads': 'encoder_attention_heads',
							    'hidden_size': 'd_model',
							    'attention_probs_dropout_prob': 'attention_dropout',
							    'initializer_range': 'init_std',
							}

							def __init__(   self					:  Optional[int]				,						a					:  Optional[int]=5_02_65				,						a					:  Any=1_63_84				,						a					:  int=10_24				,						a					:  List[str]=12				,						a					:  Dict=40_96				,						a					:  Optional[int]=16				,						a					:  List[str]=12				,						a					:  int=40_96				,						a					:  List[str]=16				,						a					:  Dict=0.0				,						a					:  str=0.0				,						a					:  Tuple=True				,						a					:  Union[str, Any]=True				,						a					:  Union[str, Any]="gelu"				,						a					:  Dict=10_24				,						a					:  Optional[int]=0.1				,						a					:  Optional[int]=0.0				,						a					:  List[Any]=0.0				,						a					:  Union[str, Any]=0.02				,						a					:  Dict=2				,						a					:  int=0.0				,						a					:  Dict=1				,						a					:  List[str]=0				,						a					:  List[Any]=2				,						a					:  Tuple = 5_12				,						**a					:  List[Any]				,						)						->int:
													SCREAMING_SNAKE_CASE__  :					Any =       vocab_size
													SCREAMING_SNAKE_CASE__  :					int =       max_encoder_position_embeddings
													SCREAMING_SNAKE_CASE__  :					str =       max_decoder_position_embeddings
													SCREAMING_SNAKE_CASE__  :					List[str] =       d_model
													SCREAMING_SNAKE_CASE__  :					Dict =       encoder_ffn_dim
													SCREAMING_SNAKE_CASE__  :					int =       encoder_layers
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       encoder_attention_heads
													SCREAMING_SNAKE_CASE__  :					List[Any] =       decoder_ffn_dim
													SCREAMING_SNAKE_CASE__  :					List[str] =       decoder_layers
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       decoder_attention_heads
													SCREAMING_SNAKE_CASE__  :					int =       dropout
													SCREAMING_SNAKE_CASE__  :					int =       attention_dropout
													SCREAMING_SNAKE_CASE__  :					int =       activation_dropout
													SCREAMING_SNAKE_CASE__  :					List[Any] =       activation_function
													SCREAMING_SNAKE_CASE__  :					Dict =       init_std
													SCREAMING_SNAKE_CASE__  :					Tuple =       encoder_layerdrop
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       decoder_layerdrop
													SCREAMING_SNAKE_CASE__  :					int =       classifier_dropout
													SCREAMING_SNAKE_CASE__  :					int =       use_cache
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       encoder_layers
													SCREAMING_SNAKE_CASE__  :					Tuple =       attention_window

													super().__init__(
													    pad_token_id=__lowercase				,						bos_token_id=__lowercase				,						eos_token_id=__lowercase				,						is_encoder_decoder=__lowercase				,						decoder_start_token_id=__lowercase				,						**__lowercase				,						)







"""simple docstring"""



import json
import logging
import os
import subprocess
from argparse import ArgumentParser


a  :						Dict					       =							logging.getLogger(__name__)




def       snake_case__		(   )    ->Any:
 UpperCAmelCase__ 						=				ArgumentParser()
 UpperCAmelCase__						,	UpperCAmelCase__ 						=				parser.parse_known_args()
 for arg in unknown:
  if arg.startswith(("""-""", """--""")			):
   parser.add_argument(arg.split("""="""			)[0]			)

 return parser.parse_args()




def       snake_case__		(   )    ->List[Any]:
 UpperCAmelCase__ 						=				parse_args()
 UpperCAmelCase__ 						=				8_8_8_8
 UpperCAmelCase__ 						=				int(os.environ["""SM_NUM_GPUS"""]			)
 UpperCAmelCase__ 						=				json.loads(os.environ["""SM_HOSTS"""]			)
 UpperCAmelCase__ 						=				len(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				os.environ["""SM_CURRENT_HOST"""]
 UpperCAmelCase__ 						=				hosts.index(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				"""INFO"""

 if num_nodes > 1:
  UpperCAmelCase__ 						=				F'''python -m torch.distributed.launch \
                --nnodes={num_nodes}  \
                --node_rank={rank}  \
                --nproc_per_node={num_gpus}  \
                --master_addr={hosts[0]}  \
                --master_port={port} \
                ./run_glue.py \
                {''.join(['nested fstring' for parameter,value in args.__dict__.items()]			)}'''
 else:
  UpperCAmelCase__ 						=				F'''python -m torch.distributed.launch \
            --nproc_per_node={num_gpus}  \
            ./run_glue.py \
            {''.join(['nested fstring' for parameter,value in args.__dict__.items()]			)}'''
 try:
  subprocess.run(_SCREAMING_SNAKE_CASE       ,	shell=_SCREAMING_SNAKE_CASE			)
 except Exception as e:
  logger.info(_SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
 main()



