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


lowerCAmelCase__							= logging.getLogger(__name__)






def       __lowerCamelCase		(						):
       lowerCAmelCase__     	=					ArgumentParser()
       lowerCAmelCase__	,					lowerCAmelCase__     	=					parser.parse_known_args()
       for arg in unknown:
              if arg.startswith(('-', '--')	):
                     parser.add_argument(arg.split('='	)[0]	)

       return parser.parse_args()






def       __lowerCamelCase		(						):
       lowerCAmelCase__     	=					parse_args()
       lowerCAmelCase__     	=					8_8_8_8
       lowerCAmelCase__     	=					int(os.environ['SM_NUM_GPUS']	)
       lowerCAmelCase__     	=					json.loads(os.environ['SM_HOSTS']	)
       lowerCAmelCase__     	=					len(lowerCAmelCase__	)
       lowerCAmelCase__     	=					os.environ['SM_CURRENT_HOST']
       lowerCAmelCase__     	=					hosts.index(lowerCAmelCase__	)
       lowerCAmelCase__     	=					'INFO'

       if num_nodes > 1:
              lowerCAmelCase__     	=					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:
              lowerCAmelCase__     	=					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(lowerCAmelCase__	,  shell=lowerCAmelCase__	)
       except Exception as e:
              logger.info(lowerCAmelCase__	)


if __name__ == "__main__":
    main()

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


lowerCAmelCase__							= logging.get_logger(__name__)

lowerCAmelCase__							= {
    'dandelin/vilt-b32-mlm': 'https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json'
}
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					'vilt'




 def __init__(			self					:  Optional[Any]			,    lowercase__					:  Dict=30_522			,    lowercase__					:  Tuple=2			,    lowercase__					:  int=2			,    lowercase__					:  Optional[int]=40			,    lowercase__					:  Optional[int]=768			,    lowercase__					:  Tuple=12			,    lowercase__					:  Tuple=12			,    lowercase__					:  Union[str, Any]=3_072			,    lowercase__					:  int="gelu"			,    lowercase__					:  Tuple=0.0			,    lowercase__					:  Dict=0.0			,    lowercase__					:  Optional[int]=0.02			,    lowercase__					:  Tuple=1e-12			,    lowercase__					:  Dict=384			,    lowercase__					:  int=32			,    lowercase__					:  List[str]=3			,    lowercase__					:  int=True			,    lowercase__					:  List[str]=-1			,    lowercase__					:  Union[str, Any]=False			,    lowercase__					:  List[str]=-1			,    **lowercase__					:  int			,    ):







        '''simple docstring'''



        super().__init__(tie_word_embeddings=lowercase__			,    **lowercase__)

        lowerCAmelCase__     	=					vocab_size
        lowerCAmelCase__     	=					type_vocab_size
        lowerCAmelCase__     	=					modality_type_vocab_size
        lowerCAmelCase__     	=					max_position_embeddings

        lowerCAmelCase__     	=					hidden_size
        lowerCAmelCase__     	=					num_hidden_layers
        lowerCAmelCase__     	=					num_attention_heads
        lowerCAmelCase__     	=					intermediate_size
        lowerCAmelCase__     	=					hidden_act
        lowerCAmelCase__     	=					hidden_dropout_prob
        lowerCAmelCase__     	=					attention_probs_dropout_prob
        lowerCAmelCase__     	=					initializer_range
        lowerCAmelCase__     	=					layer_norm_eps

        lowerCAmelCase__     	=					image_size
        lowerCAmelCase__     	=					patch_size
        lowerCAmelCase__     	=					num_channels
        lowerCAmelCase__     	=					qkv_bias
        lowerCAmelCase__     	=					max_image_length
        lowerCAmelCase__     	=					num_images
