

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


UpperCAmelCase_       :				Any		   =      logging.getLogger(__name__)
def        __SCREAMING_SNAKE_CASE    (      )				->							List[Any]:
	__A   : List[str]								= ArgumentParser()
	__A						,							__A   : str								= parser.parse_known_args()
	for arg in unknown:
		if arg.startswith(("""-""", """--""")					):
			parser.add_argument(arg.split("""="""					)[0]					)

	return parser.parse_args()
def        __SCREAMING_SNAKE_CASE    (      )				->							Dict:
	__A   : Any								= parse_args()
	__A   : Union[str, Any]								= 8888
	__A   : List[Any]								= int(os.environ["""SM_NUM_GPUS"""]					)
	__A   : Tuple								= json.loads(os.environ["""SM_HOSTS"""]					)
	__A   : List[str]								= len(a__					)
	__A   : Dict								= os.environ["""SM_CURRENT_HOST"""]
	__A   : Optional[Any]								= hosts.index(a__					)
	__A   : Optional[int]								= """INFO"""

	if num_nodes > 1:
		__A   : List[Any]								= 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:
		__A   : Dict								= 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(a__ ,shell=a__					)
	except Exception as e:
		logger.info(a__					)


if __name__ == "__main__":
			main()








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


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

UpperCAmelCase_       :				List[str]		   =      {
    '''uw-madison/nystromformer-512''': '''https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json''',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}






class     lowerCamelCase_			(  _lowercase  ):
	_lowercase		:      Optional[Any]    				=							'''nystromformer'''




	def __init__(    self	:    Optional[Any]				,			__A	:    Optional[Any]=3_0000				,			__A	:    Optional[int]=768				,			__A	:    List[str]=12				,			__A	:    str=12				,			__A	:    Tuple=3072				,			__A	:    List[Any]="gelu_new"				,			__A	:    Dict=0.1				,			__A	:    Optional[int]=0.1				,			__A	:    int=510				,			__A	:    Union[str, Any]=2				,			__A	:    Optional[int]=64				,			__A	:    str=64				,			__A	:    List[str]=65				,			__A	:    Tuple=False				,			__A	:    List[str]=0.0_2				,			__A	:    Tuple=1e-5				,			__A	:    List[str]=1				,			__A	:    int=0				,			__A	:    Tuple=2				,			**__A	:    Dict				,			):
		__A   : str								= vocab_size
		__A   : Union[str, Any]								= max_position_embeddings
		__A   : Optional[int]								= hidden_size
		__A   : Optional[int]								= num_hidden_layers
		__A   : List[Any]								= num_attention_heads
		__A   : Dict								= intermediate_size
		__A   : Union[str, Any]								= hidden_act
		__A   : int								= hidden_dropout_prob
		__A   : Tuple								= attention_probs_dropout_prob
		__A   : Optional[Any]								= initializer_range
		__A   : int								= type_vocab_size
		__A   : Optional[int]								= segment_means_seq_len
		__A   : List[str]								= num_landmarks
		__A   : Dict								= conv_kernel_size
		__A   : Union[str, Any]								= inv_coeff_init_option
		__A   : Union[str, Any]								= layer_norm_eps
		super().__init__(pad_token_id=__A				,			bos_token_id=__A				,			eos_token_id=__A				,			**__A       )





