



from .chunk_utils import chunk_layer
from .data_transforms import make_atomaa_masks
from .feats import atomaa_to_atomaa, frames_and_literature_positions_to_atomaa_pos, torsion_angles_to_frames
from .loss import compute_predicted_aligned_error, compute_tm
from .protein import Protein as OFProtein
from .protein import to_pdb
from .rigid_utils import Rigid, Rotation
from .tensor_utils import dict_multimap, flatten_final_dims, permute_final_dims








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


__UpperCAmelCase      = logging.getLogger(__name__)
def 	UpperCamelCase			(     )			->  List[str]:
   UpperCamelCase					:						Union[str, Any]					=			ArgumentParser()
   UpperCamelCase			,  UpperCamelCase					:						Optional[int]					=			parser.parse_known_args()
   for arg in unknown:
      if arg.startswith(('-', '--')			):
         parser.add_argument(arg.split('='			)[0]			)

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

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


if __name__ == "__main__":
    main()



