




import argparse
import json
import os

import torch
from torch import nn

from transformers import NllbMoeConfig, NllbMoeModel
from transformers.modeling_utils import dtype_byte_size
from transformers.utils import WEIGHTS_INDEX_NAME, WEIGHTS_NAME



def 						lowerCAmelCase		(		_lowerCAmelCase							:   Dict	):




 """simple docstring"""







 UpperCAmelCase__							 =						[
     "encoder.version",
     "decoder.version",
     "model.encoder.version",
     "model.decoder.version",
     "decoder.output_projection.weight",
     "_float_tensor",
     "encoder.embed_positions._float_tensor",
     "decoder.embed_positions._float_tensor",
 ]
 for k in ignore_keys:
  state_dict.pop(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   List[str]	):




 """simple docstring"""







 UpperCAmelCase__ , UpperCAmelCase__							 =						emb.weight.shape
 UpperCAmelCase__							 =						nn.Linear(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE						,							bias=_SCREAMING_SNAKE_CASE	)
 UpperCAmelCase__							 =						emb.weight.data
 return lin_layer



def 						lowerCAmelCase		(		_lowerCAmelCase							:   List[str]						,							_lowerCAmelCase							:   List[Any]=None	):




 """simple docstring"""







 UpperCAmelCase__							 =						{}
 for old_key in state_dict.keys():
  UpperCAmelCase__							 =						old_key
  if "moe_layer.experts." in key:
   if expert_idx is not None:
    UpperCAmelCase__							 =						key.replace("moe_layer.experts.0"						,							F'''ffn.experts.expert_{expert_idx}'''	)
   else:
    UpperCAmelCase__							 =						key.replace("moe_layer.experts."						,							"ffn.experts.expert_"	)
  if "gate" in key:
   UpperCAmelCase__							 =						key.replace(".moe_layer.gate.wg"						,							".ffn.router.classifier"	)
  if "fc2" and "experts" not in key:
   UpperCAmelCase__							 =						key.replace(".fc2."						,							".ffn.fc2."	)
  if "fc1" and "experts" not in key:
   UpperCAmelCase__							 =						key.replace(".fc1."						,							".ffn.fc1."	)
  if ".encoder_attn." in key:
   UpperCAmelCase__							 =						key.replace(".encoder_attn."						,							".cross_attention."	)
  if "encoder_attn_layer_norm" in key:
   UpperCAmelCase__							 =						key.replace("encoder_attn_layer_norm"						,							"cross_attention_layer_norm"	)
  if "final_layer_norm" in key:
   UpperCAmelCase__							 =						key.replace("final_layer_norm"						,							"ff_layer_norm"	)
  UpperCAmelCase__							 =						state_dict[old_key]
 return new_dict



def 						lowerCAmelCase		(		_lowerCAmelCase							:   Dict						,							_lowerCAmelCase							:   Optional[Any]						,							_lowerCAmelCase							:   str						,							_lowerCAmelCase							:   Dict						,							_lowerCAmelCase							:   List[Any] = WEIGHTS_NAME	):




 """simple docstring"""







 UpperCAmelCase__							 =						[]
 UpperCAmelCase__							 =						0
 os.makedirs(_SCREAMING_SNAKE_CASE						,							exist_ok=_SCREAMING_SNAKE_CASE	)

 for expert in range(_SCREAMING_SNAKE_CASE	):
  UpperCAmelCase__							 =						switch_checkpoint_path + F'''-rank-{expert}.pt'''
  if os.path.isfile(_SCREAMING_SNAKE_CASE	):
   UpperCAmelCase__							 =						torch.load(_SCREAMING_SNAKE_CASE	)["model"]
   remove_ignore_keys_(_SCREAMING_SNAKE_CASE	)
   UpperCAmelCase__							 =						rename_fairseq_keys(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)
   UpperCAmelCase__							 =						os.path.join(
       _SCREAMING_SNAKE_CASE						,							weights_name.replace(".bin"						,							F'''-{len(_SCREAMING_SNAKE_CASE	)+1:05d}-of-???.bin'''	)	)
   torch.save(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)
   sharded_state_dicts.append(expert_state.keys()	)
   total_size += sum([value.numel() for key, value in expert_state.items()]	) * dtype_byte_size(
       expert_state[list(_SCREAMING_SNAKE_CASE	)[0]].dtype	)

  # Add the last block
 UpperCAmelCase__							 =						os.path.join(_SCREAMING_SNAKE_CASE						,							weights_name.replace(".bin"						,							F'''-{len(_SCREAMING_SNAKE_CASE	)+1:05d}-of-???.bin'''	)	)
 UpperCAmelCase__							 =						torch.load(switch_checkpoint_path + "-shared.pt"	)["model"]
 remove_ignore_keys_(_SCREAMING_SNAKE_CASE	)
 UpperCAmelCase__							 =						rename_fairseq_keys(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)
 UpperCAmelCase__							 =						shared_weights["decoder.embed_tokens.weight"]
 sharded_state_dicts.append(shared_weights.keys()	)

 # If we only have the shared weights (dummy model/experts saved on the same file)
 if len(_SCREAMING_SNAKE_CASE	) == 1:
  UpperCAmelCase__							 =						os.path.join(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)
  torch.save(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)
  return {weights_name: sharded_state_dicts[0]}, None
 else:
  torch.save(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)
 # Otherwise, let's build the index
 UpperCAmelCase__							 =						{}
 for idx, shard in enumerate(_SCREAMING_SNAKE_CASE	):
  UpperCAmelCase__							 =						weights_name.replace(".bin"						,							F'''-{idx+1:05d}-of-{len(_SCREAMING_SNAKE_CASE	):05d}.bin'''	)
  UpperCAmelCase__							 =						os.path.join(_SCREAMING_SNAKE_CASE						,							weights_name.replace(".bin"						,							F'''-{idx+1:05d}-of-???.bin'''	)	)
  os.rename(_SCREAMING_SNAKE_CASE						,							os.path.join(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)	)
  for key in shard:
   UpperCAmelCase__							 =						shard_file

  # Add the metadata
 UpperCAmelCase__							 =						{"total_size": total_size}
 UpperCAmelCase__							 =						{"metadata": metadata, "weight_map": weight_map}

 with open(os.path.join(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE	)						,							"w"						,							encoding="utf-8"	) as f:
  UpperCAmelCase__							 =						json.dumps(_SCREAMING_SNAKE_CASE						,							indent=2						,							sort_keys=_SCREAMING_SNAKE_CASE	) + "\n"
  f.write(_SCREAMING_SNAKE_CASE	)

 return metadata, index


if __name__ == "__main__":
  _lowerCAmelCase						:   Union[str, Any]		=   argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      "--nllb_moe_checkpoint_path",
      default="/home/arthur_huggingface_co/fairseq/weights/checkpoints/model_moe_54b/checkpoint_2_300000",
      type=str,
      required=False,
      help="Path to a directory containing a folder per layer. Follows the original Google format.",
  )
  parser.add_argument("--dtype", default="float32", type=str, required=False, help="dtype of the saved model")
  parser.add_argument(
      "--pytorch_dump_folder_path",
      default="/home/arthur_huggingface_co/fairseq/weights/checkpoints/hf-converted-moe-54b",
      type=str,
      required=False,
      help="Path to the output pytorch model.",
  )
  _lowerCAmelCase						:   Tuple		=   parser.parse_args()
  _lowerCAmelCase,					_lowerCAmelCase						:   Optional[Any]		=   shard_on_the_fly(
      args.nllb_moe_checkpoint_path,
      args.pytorch_dump_folder_path,
      1_2_8,
      args.dtype,
  )

  _lowerCAmelCase						:   Optional[Any]		=   NllbMoeConfig.from_pretrained(
      "facebook/nllb-200-3.3B", encoder_sparse_step=4, decoder_sparse_step=4, num_experts=1_2_8
  )
  config.save_pretrained(args.pytorch_dump_folder_path)
  _lowerCAmelCase						:   Union[str, Any]		=   NllbMoeModel.from_pretrained(args.pytorch_dump_folder_path)
  print("Done")
  model.save_pretrained(args.pytorch_dump_folder_path)












from ..utils import DummyObject, requires_backends
class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :List[Any] ,      *lowerCamelCase   :int ,      **lowerCamelCase   :List[Any]      )     ->			Dict:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Union[str, Any] ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :List[str]      )     ->			int:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :Optional[int] ,      *lowerCamelCase   :List[str] ,      **lowerCamelCase   :List[Any]      )     ->			Dict:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :Dict ,      *lowerCamelCase   :int ,      **lowerCamelCase   :str      )     ->			str:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Optional[int] ,      *lowerCamelCase   :Tuple ,      **lowerCamelCase   :List[Any]      )     ->			Optional[int]:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :Optional[Any] ,      *lowerCamelCase   :Dict ,      **lowerCamelCase   :Optional[int]      )     ->			List[Any]:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :List[str] ,      *lowerCamelCase   :Union[str, Any] ,      **lowerCamelCase   :Any      )     ->			Union[str, Any]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :List[Any] ,      *lowerCamelCase   :str ,      **lowerCamelCase   :List[Any]      )     ->			Tuple:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :str ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :Dict      )     ->			int:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :Union[str, Any] ,      *lowerCamelCase   :int ,      **lowerCamelCase   :Dict      )     ->			List[Any]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :int ,      *lowerCamelCase   :Union[str, Any] ,      **lowerCamelCase   :str      )     ->			Optional[int]:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :List[str] ,      *lowerCamelCase   :Optional[int] ,      **lowerCamelCase   :Tuple      )     ->			Dict:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :Union[str, Any] ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :List[str]      )     ->			Union[str, Any]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Optional[Any] ,      *lowerCamelCase   :Union[str, Any] ,      **lowerCamelCase   :Optional[Any]      )     ->			Optional[int]:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :List[Any] ,      *lowerCamelCase   :Dict ,      **lowerCamelCase   :Optional[int]      )     ->			List[str]:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :Tuple ,      *lowerCamelCase   :str ,      **lowerCamelCase   :List[str]      )     ->			List[Any]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Any ,      *lowerCamelCase   :List[str] ,      **lowerCamelCase   :Any      )     ->			int:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :List[Any] ,      *lowerCamelCase   :List[Any] ,      **lowerCamelCase   :Optional[Any]      )     ->			Tuple:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :Any ,      *lowerCamelCase   :List[Any] ,      **lowerCamelCase   :List[str]      )     ->			List[str]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Optional[Any] ,      *lowerCamelCase   :Optional[int] ,      **lowerCamelCase   :Dict      )     ->			Union[str, Any]:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :int ,      *lowerCamelCase   :List[Any] ,      **lowerCamelCase   :str      )     ->			str:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :str ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :Union[str, Any]      )     ->			Optional[Any]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Optional[Any] ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :List[str]      )     ->			int:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :List[Any] ,      *lowerCamelCase   :Union[str, Any] ,      **lowerCamelCase   :Union[str, Any]      )     ->			List[Any]:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :Dict ,      *lowerCamelCase   :Dict ,      **lowerCamelCase   :int      )     ->			List[Any]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Tuple ,      *lowerCamelCase   :Optional[Any] ,      **lowerCamelCase   :Optional[int]      )     ->			Dict:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :Any ,      *lowerCamelCase   :Optional[int] ,      **lowerCamelCase   :List[str]      )     ->			List[Any]:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :List[Any] ,      *lowerCamelCase   :int ,      **lowerCamelCase   :Optional[Any]      )     ->			List[str]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :int ,      *lowerCamelCase   :List[Any] ,      **lowerCamelCase   :List[Any]      )     ->			Any:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :str ,      *lowerCamelCase   :Optional[int] ,      **lowerCamelCase   :str      )     ->			List[str]:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :List[Any] ,      *lowerCamelCase   :str ,      **lowerCamelCase   :int      )     ->			List[Any]:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :List[str] ,      *lowerCamelCase   :List[Any] ,      **lowerCamelCase   :Any      )     ->			List[Any]:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :Optional[Any] ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :Tuple      )     ->			int:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :Any ,      *lowerCamelCase   :List[Any] ,      **lowerCamelCase   :Tuple      )     ->			Dict:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :List[Any] ,      *lowerCamelCase   :int ,      **lowerCamelCase   :Union[str, Any]      )     ->			List[Any]:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :str ,      *lowerCamelCase   :int ,      **lowerCamelCase   :List[str]      )     ->			List[str]:
       requires_backends(cls ,      ["flax"]      )



class 			_UpperCamelCase      (				metaclass=lowerCAmelCase		):
      UpperCAmelCase_        =		["""flax"""]
      def __init__(			self   :int ,      *lowerCamelCase   :Dict ,      **lowerCamelCase   :Optional[int]      )     ->			str:
       requires_backends(self ,      ["flax"]      )
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Union[str, Any] ,      *lowerCamelCase   :Any ,      **lowerCamelCase   :Union[str, Any]      )     ->			Optional[int]:
       requires_backends(cls ,      ["flax"]      )







      @classmethod
      def 	UpperCAmelCase_						(			cls   :int ,      *lowerCamelCase   :Union[str, Any] ,      **lowerCamelCase   :Any      )     ->			Optional[Any]:
       requires_backends(cls ,      ["flax"]      )





