


'''simple docstring'''







import argparse
from pathlib import Path

import torch

from transformers import OPTConfig, OPTModel
from transformers.utils import logging


logging.set_verbosity_info()
A__:    int					    =       logging.get_logger(__name__)


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Optional[Any]  )  ->			Dict:
       _a    : Optional[int]     					=torch.load(_UpperCAmelCase    ,map_location="""cpu"""  )
       if "model" in sd.keys():
              _a    : List[Any]     					=torch.load(_UpperCAmelCase    ,map_location="""cpu"""  )["""model"""]

       # pop unnecessary weights
       _a    : List[Any]     					=[
           """decoder.version""",
           """decoder.output_projection.weight""",
       ]
       for key in keys_to_delete:
              if key in sd:
                     sd.pop(_UpperCAmelCase  )

       _a    : List[str]     					={
           """decoder.project_in_dim.weight""": """decoder.project_in.weight""",
           """decoder.project_out_dim.weight""": """decoder.project_out.weight""",
           """decoder.layer_norm.weight""": """decoder.final_layer_norm.weight""",
           """decoder.layer_norm.bias""": """decoder.final_layer_norm.bias""",
       }
       for old_key, new_key in keys_to_rename.items():
              if old_key in sd:
                     _a    : List[Any]     					=sd.pop(_UpperCAmelCase  )

       _a    : Union[str, Any]     					=list(sd.keys()  )
       for key in keys:
              if ".qkv_proj." in key:
                     _a    : Union[str, Any]     					=sd[key]
                     # We split QKV in separate Q,K,V

                     _a    : Tuple     					=key.replace(""".qkv_proj."""    ,""".q_proj."""  )
                     _a    : Any     					=key.replace(""".qkv_proj."""    ,""".k_proj."""  )
                     _a    : List[Any]     					=key.replace(""".qkv_proj."""    ,""".v_proj."""  )

                     _a    : int     					=value.shape[0]
                     assert depth % 3 == 0
                     # `SequeuceParallelTransformerBlock` has QKV weight is separated in K,V,Q despite the naming:
                     # https://cs.github.com/facebookresearch/metaseq/blob/51871bd73cd04c038f239ea2a26db1d7f6b37927/metaseq/modules/sequence_parallel_transformer_layer.py#L97
                     _a					,    _a					,    _a    : Optional[Any]     					=torch.split(_UpperCAmelCase    ,depth // 3    ,dim=0  )

                     _a    : str     					=q
                     _a    : Dict     					=k
                     _a    : Tuple     					=v
                     del sd[key]

       return sd


@torch.no_grad()
def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Union[str, Any]    ,_UpperCAmelCase	:	Optional[int]    ,_UpperCAmelCase	:	int=None  )  ->			Dict:
       _a    : Optional[Any]     					=load_checkpoint(_UpperCAmelCase  )

       if config is not None:
              _a    : List[str]     					=OPTConfig.from_pretrained(_UpperCAmelCase  )
       else:
              _a    : Dict     					=OPTConfig()

       _a    : List[str]     					=OPTModel(_UpperCAmelCase  ).half().eval()
       model.load_state_dict(_UpperCAmelCase  )

       # Check results
       Path(_UpperCAmelCase  ).mkdir(exist_ok=_UpperCAmelCase  )
       model.save_pretrained(_UpperCAmelCase  )


if __name__ == "__main__":
   A__:    Tuple					    =       argparse.ArgumentParser()
   # Required parameters
   parser.add_argument(
       '''--fairseq_path''',
       type=str,
       help=(
           '''path to fairseq checkpoint in correct format. You can find all checkpoints in the correct format here:'''
           ''' https://huggingface.co/models?other=opt_metasq'''
       ),
   )
   parser.add_argument('''--pytorch_dump_folder_path''', default=None, type=str, help='''Path to the output PyTorch model.''')
   parser.add_argument('''--hf_config''', default=None, type=str, help='''Define HF config.''')
   A__:    Tuple					    =       parser.parse_args()
   convert_opt_checkpoint(args.fairseq_path, args.pytorch_dump_folder_path, config=args.hf_config)






'''simple docstring'''







class A__       :






      def __init__( self			:List[str]	)       ->					List[Any]:




             '''simple docstring'''
             _a    : Tuple     					=0
             _a    : Any     					=0
             _a    : int     					={}






      def __UpperCAmelCase       ( self			:Any     ,						SCREAMING_SNAKE_CASE			:List[str]	)       ->					Optional[int]:




             '''simple docstring'''
             if vertex not in self.adjacency:
                    _a    : Dict     					={}
                    self.num_vertices += 1






      def __UpperCAmelCase       ( self			:Optional[Any]     ,						SCREAMING_SNAKE_CASE			:str     ,						SCREAMING_SNAKE_CASE			:str     ,						SCREAMING_SNAKE_CASE			:Any	)       ->					List[str]:




             '''simple docstring'''
             self.add_vertex(SCREAMING_SNAKE_CASE	)
             self.add_vertex(SCREAMING_SNAKE_CASE	)

             if head == tail:
                    return

             _a    : Any     					=weight
             _a    : Tuple     					=weight






      def __UpperCAmelCase       ( self			:Dict	)       ->					Optional[int]:




             '''simple docstring'''
             _a    : Union[str, Any]     					=self.get_edges()
             for edge in edges:
                    _a					,    _a					,    _a    : List[str]     					=edge
                    edges.remove((tail, head, weight)	)
             for i in range(len(SCREAMING_SNAKE_CASE	)	):
                    _a    : str     					=list(edges[i]	)

             edges.sort(key=lambda SCREAMING_SNAKE_CASE	: e[2]	)
             for i in range(len(SCREAMING_SNAKE_CASE	) - 1	):
                    if edges[i][2] >= edges[i + 1][2]:
                           _a    : Union[str, Any]     					=edges[i][2] + 1
             for edge in edges:
                    _a					,    _a					,    _a    : Tuple     					=edge
                    _a    : Tuple     					=weight
                    _a    : List[Any]     					=weight






      def __str__( self			:int	)       ->					str:




             '''simple docstring'''
             _a    : int     					=""""""
             for tail in self.adjacency:
                    for head in self.adjacency[tail]:
                           _a    : str     					=self.adjacency[head][tail]
                           string += f"{head} -> {tail} == {weight}\n"
             return string.rstrip("""\n"""	)






      def __UpperCAmelCase       ( self			:Optional[int]	)       ->					Optional[Any]:




             '''simple docstring'''
             _a    : Union[str, Any]     					=[]
             for tail in self.adjacency:
                    for head in self.adjacency[tail]:
                           output.append((tail, head, self.adjacency[head][tail])	)
             return output






      def __UpperCAmelCase       ( self			:List[Any]	)       ->					List[Any]:




             '''simple docstring'''
             return self.adjacency.keys()






      @staticmethod
      def __UpperCAmelCase       ( SCREAMING_SNAKE_CASE			:Dict=None     ,						SCREAMING_SNAKE_CASE			:List[Any]=None	)       ->					Optional[int]:




             '''simple docstring'''
             _a    : str     					=Graph()
             if vertices is None:
                    _a    : Union[str, Any]     					=[]
             if edges is None:
                    _a    : List[Any]     					=[]
             for vertex in vertices:
                    g.add_vertex(SCREAMING_SNAKE_CASE	)
             for edge in edges:
                    g.add_edge(*SCREAMING_SNAKE_CASE	)
             return g







      class A__       :






            def __init__( self			:Optional[int]	)       ->					Union[str, Any]:




                   '''simple docstring'''
                   _a    : Optional[int]     					={}
                   _a    : List[str]     					={}






            def __len__( self			:List[Any]	)       ->					List[Any]:




                   '''simple docstring'''
                   return len(self.parent	)






            def __UpperCAmelCase       ( self			:Tuple     ,						SCREAMING_SNAKE_CASE			:Tuple	)       ->					Dict:




                   '''simple docstring'''
                   if item in self.parent:
                          return self.find(SCREAMING_SNAKE_CASE	)

                   _a    : Optional[Any]     					=item
                   _a    : List[str]     					=0
                   return item






            def __UpperCAmelCase       ( self			:int     ,						SCREAMING_SNAKE_CASE			:Dict	)       ->					List[str]:




                   '''simple docstring'''
                   if item not in self.parent:
                          return self.make_set(SCREAMING_SNAKE_CASE	)
                   if item != self.parent[item]:
                          _a    : str     					=self.find(self.parent[item]	)
                   return self.parent[item]






            def __UpperCAmelCase       ( self			:Optional[int]     ,						SCREAMING_SNAKE_CASE			:Tuple     ,						SCREAMING_SNAKE_CASE			:List[Any]	)       ->					Optional[Any]:




                   '''simple docstring'''
                   _a    : Optional[int]     					=self.find(SCREAMING_SNAKE_CASE	)
                   _a    : Dict     					=self.find(SCREAMING_SNAKE_CASE	)

                   if roota == roota:
                          return roota

                   if self.rank[roota] > self.rank[roota]:
                          _a    : Any     					=roota
                          return roota

                   if self.rank[roota] < self.rank[roota]:
                          _a    : List[str]     					=roota
                          return roota

                   if self.rank[roota] == self.rank[roota]:
                          self.rank[roota] += 1
                          _a    : List[Any]     					=roota
                          return roota
                   return None






      @staticmethod
      def __UpperCAmelCase       ( SCREAMING_SNAKE_CASE			:Dict	)       ->					Union[str, Any]:




             '''simple docstring'''
             _a    : Any     					=graph.num_vertices

             _a    : Union[str, Any]     					=Graph.UnionFind()
             _a    : Optional[int]     					=[]
             while num_components > 1:
                    _a    : str     					={}
                    for vertex in graph.get_vertices():
                           _a    : List[str]     					=-1

                    _a    : Any     					=graph.get_edges()
                    for edge in edges:
                           _a					,    _a					,    _a    : Tuple     					=edge
                           edges.remove((tail, head, weight)	)
                    for edge in edges:
                           _a					,    _a					,    _a    : Any     					=edge
                           _a    : Any     					=union_find.find(SCREAMING_SNAKE_CASE	)
                           _a    : List[Any]     					=union_find.find(SCREAMING_SNAKE_CASE	)
                           if seta != seta:
                                  if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                                         _a    : Optional[int]     					=[head, tail, weight]

                                  if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                                         _a    : List[Any]     					=[head, tail, weight]
                    for vertex in cheap_edge:
                           if cheap_edge[vertex] != -1:
                                  _a					,    _a					,    _a    : Optional[Any]     					=cheap_edge[vertex]
                                  if union_find.find(SCREAMING_SNAKE_CASE	) != union_find.find(SCREAMING_SNAKE_CASE	):
                                         union_find.union(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)
                                         mst_edges.append(cheap_edge[vertex]	)
                                         _a    : str     					=num_components - 1
             _a    : str     					=Graph.build(edges=SCREAMING_SNAKE_CASE	)
             return mst


