






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


UpperCAmelCase_					:		Optional[Any]           = logging.get_logger(__name__)

UpperCAmelCase_					:		int           = {
    '''facebook/opt-125m''': '''https://huggingface.co/facebook/opt-125m/blob/main/config.json''',
    '''facebook/opt-350m''': '''https://huggingface.co/facebook/opt-350m/blob/main/config.json''',
    '''facebook/opt-1.3b''': '''https://huggingface.co/facebook/opt-1.3b/blob/main/config.json''',
    '''facebook/opt-2.7b''': '''https://huggingface.co/facebook/opt-2.7b/blob/main/config.json''',
    '''facebook/opt-6.7b''': '''https://huggingface.co/facebook/opt-6.7b/blob/main/config.json''',
    '''facebook/opt-13b''': '''https://huggingface.co/facebook/opt-13b/blob/main/config.json''',
}

class        _SCREAMING_SNAKE_CASE			(     __UpperCamelCase ):
	snake_case__				:	Optional[Any]	      =    'opt'
	snake_case__				:	str	      =    ['past_key_values']





	def __init__(						self							:   Optional[int]					,    __lowerCamelCase							:   Tuple=50_272					,    __lowerCamelCase							:   Dict=768					,    __lowerCamelCase							:   Any=12					,    __lowerCamelCase							:   Optional[int]=3_072					,    __lowerCamelCase							:   int=2_048					,    __lowerCamelCase							:   Any=True					,    __lowerCamelCase							:   Dict=False					,    __lowerCamelCase							:   List[str]=None					,    __lowerCamelCase							:   List[Any]=0.1					,    __lowerCamelCase							:   Tuple=0.0					,    __lowerCamelCase							:   Optional[int]=12					,    __lowerCamelCase							:   str="relu"					,    __lowerCamelCase							:   List[str]=0.0					,    __lowerCamelCase							:   str=0.02					,    __lowerCamelCase							:   Union[str, Any]=True					,    __lowerCamelCase							:   Tuple=1					,    __lowerCamelCase							:   Dict=2					,    __lowerCamelCase							:   Tuple=2					,    __lowerCamelCase							:   Optional[Any]=True					,    __lowerCamelCase							:   List[Any]=True					,    **__lowerCamelCase							:   Any					,    ):
		super().__init__(
		    pad_token_id=__lowercase					,    bos_token_id=__lowercase					,    eos_token_id=__lowercase					,    **__lowercase					,    )
		UpperCamelCase	:Any		=      vocab_size
		UpperCamelCase	:Dict		=      max_position_embeddings
		UpperCamelCase	:Optional[Any]		=      num_attention_heads
		UpperCamelCase	:Optional[int]		=      word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
		UpperCamelCase	:Dict		=      ffn_dim
		UpperCamelCase	:Tuple		=      hidden_size
		UpperCamelCase	:Union[str, Any]		=      num_hidden_layers
		UpperCamelCase	:Any		=      dropout
		UpperCamelCase	:Union[str, Any]		=      attention_dropout
		UpperCamelCase	:Any		=      activation_function
		UpperCamelCase	:Tuple		=      init_std
		UpperCamelCase	:Any		=      layerdrop
		UpperCamelCase	:Any		=      use_cache
		UpperCamelCase	:str		=      do_layer_norm_before
		# We keep these variables at `True` for backward compatibility.
		UpperCamelCase	:Tuple		=      enable_bias
		UpperCamelCase	:Any		=      layer_norm_elementwise_affine

		# Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
		# with checkpoints that have been fine-tuned before transformers v4.20.1
		# see https://github.com/facebookresearch/metaseq/pull/164
		UpperCamelCase	:Optional[Any]		=      _remove_final_layer_norm








"""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()



