



from ..utils import DummyObject, requires_backends





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Any          =['''flax''']






  def __init__(						self      :     Union[str, Any]				,		*UpperCamelCase__      :     str				,		**UpperCamelCase__      :     int      )				->					Union[str, Any]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Union[str, Any]				,		*UpperCamelCase__      :     List[Any]				,		**UpperCamelCase__      :     Optional[Any]      )				->					str:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     List[str]				,		*UpperCamelCase__      :     int				,		**UpperCamelCase__      :     Union[str, Any]      )				->					List[str]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Any          =['''flax''']






  def __init__(						self      :     List[str]				,		*UpperCamelCase__      :     List[Any]				,		**UpperCamelCase__      :     List[Any]      )				->					List[str]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Any				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     Optional[int]      )				->					List[Any]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Any				,		*UpperCamelCase__      :     Optional[int]				,		**UpperCamelCase__      :     Optional[int]      )				->					Dict:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Optional[int]          =['''flax''']






  def __init__(						self      :     List[Any]				,		*UpperCamelCase__      :     List[str]				,		**UpperCamelCase__      :     List[Any]      )				->					str:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     List[Any]				,		*UpperCamelCase__      :     Union[str, Any]				,		**UpperCamelCase__      :     Optional[Any]      )				->					str:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Any				,		*UpperCamelCase__      :     Optional[int]				,		**UpperCamelCase__      :     Optional[Any]      )				->					Optional[Any]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Any          =['''flax''']






  def __init__(						self      :     Dict				,		*UpperCamelCase__      :     int				,		**UpperCamelCase__      :     Any      )				->					Union[str, Any]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Dict				,		*UpperCamelCase__      :     int				,		**UpperCamelCase__      :     Tuple      )				->					Tuple:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     List[str]				,		*UpperCamelCase__      :     str				,		**UpperCamelCase__      :     Dict      )				->					int:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Any          =['''flax''']






  def __init__(						self      :     Optional[Any]				,		*UpperCamelCase__      :     Optional[int]				,		**UpperCamelCase__      :     List[Any]      )				->					int:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     int				,		*UpperCamelCase__      :     List[str]				,		**UpperCamelCase__      :     str      )				->					int:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     str				,		*UpperCamelCase__      :     Union[str, Any]				,		**UpperCamelCase__      :     Union[str, Any]      )				->					Tuple:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       List[str]          =['''flax''']






  def __init__(						self      :     Any				,		*UpperCamelCase__      :     int				,		**UpperCamelCase__      :     Tuple      )				->					List[str]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     str				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     Any      )				->					int:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Any				,		*UpperCamelCase__      :     List[str]				,		**UpperCamelCase__      :     Optional[Any]      )				->					Dict:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Optional[int]          =['''flax''']






  def __init__(						self      :     Optional[int]				,		*UpperCamelCase__      :     Dict				,		**UpperCamelCase__      :     List[str]      )				->					Tuple:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Tuple				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     int      )				->					List[str]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Any				,		*UpperCamelCase__      :     Any				,		**UpperCamelCase__      :     Tuple      )				->					Dict:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       int          =['''flax''']






  def __init__(						self      :     str				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     int      )				->					int:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Union[str, Any]				,		*UpperCamelCase__      :     Union[str, Any]				,		**UpperCamelCase__      :     Optional[Any]      )				->					Dict:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Optional[Any]				,		*UpperCamelCase__      :     List[str]				,		**UpperCamelCase__      :     Optional[Any]      )				->					Union[str, Any]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Dict          =['''flax''']






  def __init__(						self      :     Dict				,		*UpperCamelCase__      :     str				,		**UpperCamelCase__      :     Union[str, Any]      )				->					Optional[Any]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Dict				,		*UpperCamelCase__      :     Optional[Any]				,		**UpperCamelCase__      :     Optional[int]      )				->					Any:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Any				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     Dict      )				->					int:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       List[Any]          =['''flax''']






  def __init__(						self      :     Tuple				,		*UpperCamelCase__      :     Optional[Any]				,		**UpperCamelCase__      :     int      )				->					Union[str, Any]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Tuple				,		*UpperCamelCase__      :     Any				,		**UpperCamelCase__      :     Optional[int]      )				->					Optional[int]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Any				,		*UpperCamelCase__      :     Any				,		**UpperCamelCase__      :     Dict      )				->					Tuple:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       Optional[Any]          =['''flax''']






  def __init__(						self      :     int				,		*UpperCamelCase__      :     Optional[Any]				,		**UpperCamelCase__      :     List[Any]      )				->					int:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Optional[Any]				,		*UpperCamelCase__      :     Union[str, Any]				,		**UpperCamelCase__      :     List[str]      )				->					str:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Optional[Any]				,		*UpperCamelCase__      :     str				,		**UpperCamelCase__      :     Optional[Any]      )				->					str:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       str          =['''flax''']






  def __init__(						self      :     Optional[Any]				,		*UpperCamelCase__      :     Any				,		**UpperCamelCase__      :     Union[str, Any]      )				->					List[Any]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Optional[Any]				,		*UpperCamelCase__      :     Any				,		**UpperCamelCase__      :     int      )				->					Tuple:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     Tuple				,		*UpperCamelCase__      :     str				,		**UpperCamelCase__      :     Optional[Any]      )				->					Union[str, Any]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )





class  __magic_name__   (							metaclass=A__						):
  lowercase      :       str          =['''flax''']






  def __init__(						self      :     List[str]				,		*UpperCamelCase__      :     List[Any]				,		**UpperCamelCase__      :     str      )				->					List[str]:
        '''simple docstring'''







        requires_backends(self				,		["flax"]      )






  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     int				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     str      )				->					List[str]:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )







  @classmethod
  def SCREAMING_SNAKE_CASE_			(						cls      :     str				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     Tuple      )				->					str:
        '''simple docstring'''







        requires_backends(cls				,		["flax"]      )








import argparse
from pathlib import Path
from typing import Dict, OrderedDict, Tuple

import torch
from audiocraft.models import MusicGen

from transformers import (
    AutoFeatureExtractor,
    AutoTokenizer,
    EncodecModel,
    MusicgenDecoderConfig,
    MusicgenForConditionalGeneration,
    MusicgenProcessor,
    TaEncoderModel,
)
from transformers.models.musicgen.modeling_musicgen import MusicgenForCausalLM
from transformers.utils import logging


logging.set_verbosity_info()
__lowerCamelCase     :							Dict  							=				logging.get_logger(__name__)


__lowerCamelCase     :							Tuple  							=				["model.decoder.embed_positions.weights"]

def    lowerCamelCase_(lowerCamelCase_    ) ->       Any:
						if "emb" in name:
												UpperCAmelCase         =     name.replace("emb"    ,   "model.decoder.embed_tokens"    )
						if "transformer" in name:
												UpperCAmelCase         =     name.replace("transformer"    ,   "model.decoder"    )
						if "cross_attention" in name:
												UpperCAmelCase         =     name.replace("cross_attention"    ,   "encoder_attn"    )
						if "linear1" in name:
												UpperCAmelCase         =     name.replace("linear1"    ,   "fc1"    )
						if "linear2" in name:
												UpperCAmelCase         =     name.replace("linear2"    ,   "fc2"    )
						if "norm1" in name:
												UpperCAmelCase         =     name.replace("norm1"    ,   "self_attn_layer_norm"    )
						if "norm_cross" in name:
												UpperCAmelCase         =     name.replace("norm_cross"    ,   "encoder_attn_layer_norm"    )
						if "norm2" in name:
												UpperCAmelCase         =     name.replace("norm2"    ,   "final_layer_norm"    )
						if "out_norm" in name:
												UpperCAmelCase         =     name.replace("out_norm"    ,   "model.decoder.layer_norm"    )
						if "linears" in name:
												UpperCAmelCase         =     name.replace("linears"    ,   "lm_heads"    )
						if "condition_provider.conditioners.description.output_proj" in name:
												UpperCAmelCase         =     name.replace("condition_provider.conditioners.description.output_proj"    ,   "enc_to_dec_proj"    )
						return name

def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_    ) ->       Tuple[Dict, Dict]:
						UpperCAmelCase         =     list(state_dict.keys()    )
						UpperCAmelCase         =     {}
						for key in keys:
												UpperCAmelCase         =     state_dict.pop(lowerCamelCase_    )
												UpperCAmelCase         =     rename_keys(lowerCamelCase_    )
												if "in_proj_weight" in key:
																		# split fused qkv proj
																		UpperCAmelCase         =     val[:hidden_size, :]
																		UpperCAmelCase         =     val[hidden_size : 2 * hidden_size, :]
																		UpperCAmelCase         =     val[-hidden_size:, :]
												elif "enc_to_dec_proj" in key:
																		UpperCAmelCase         =     val
												else:
																		UpperCAmelCase         =     val
						return state_dict, enc_dec_proj_state_dict

def    lowerCamelCase_(lowerCamelCase_    ) ->       MusicgenDecoderConfig:
						if checkpoint == "small":
												# default config values
												UpperCAmelCase         =     1_024
												UpperCAmelCase         =     24
												UpperCAmelCase         =     16
						elif checkpoint == "medium":
												UpperCAmelCase         =     1_536
												UpperCAmelCase         =     48
												UpperCAmelCase         =     24
						elif checkpoint == "large":
												UpperCAmelCase         =     2_048
												UpperCAmelCase         =     48
												UpperCAmelCase         =     32
						else:
												raise ValueError(F'Checkpoint should be one of `[\'small\', \'medium\', \'large\']`, got {checkpoint}.'    )
						UpperCAmelCase         =     MusicgenDecoderConfig(
						    hidden_size=lowerCamelCase_    ,   ffn_dim=hidden_size * 4    ,   num_hidden_layers=lowerCamelCase_    ,   num_attention_heads=lowerCamelCase_    ,   )
						return config

@torch.no_grad()
def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_=None    ,   lowerCamelCase_=None    ,   lowerCamelCase_="cpu"    ) ->       List[str]:
						UpperCAmelCase         =     MusicGen.get_pretrained(lowerCamelCase_    ,   device=lowerCamelCase_    )
						UpperCAmelCase         =     decoder_config_from_checkpoint(lowerCamelCase_    )

						UpperCAmelCase         =     fairseq_model.lm.state_dict()
						UpperCAmelCase       ,		UpperCAmelCase         =     rename_state_dict(
						    lowerCamelCase_    ,   hidden_size=decoder_config.hidden_size    )

						UpperCAmelCase         =     TaEncoderModel.from_pretrained("t5-base"    )
						UpperCAmelCase         =     EncodecModel.from_pretrained("facebook/encodec_32khz"    )
						UpperCAmelCase         =     MusicgenForCausalLM(lowerCamelCase_    ).eval()

						# load all decoder weights - expect that we'll be missing embeddings and enc-dec projection
						UpperCAmelCase       ,		UpperCAmelCase         =     decoder.load_state_dict(lowerCamelCase_    ,   strict=lowerCamelCase_    )

						for key in missing_keys.copy():
												if key.startswith(("text_encoder", "audio_encoder")    ) or key in EXPECTED_MISSING_KEYS:
																		missing_keys.remove(lowerCamelCase_    )

						if len(lowerCamelCase_    ) > 0:
												raise ValueError(F'Missing key(s) in state_dict: {missing_keys}'    )

						if len(lowerCamelCase_    ) > 0:
												raise ValueError(F'Unexpected key(s) in state_dict: {unexpected_keys}'    )

						# init the composite model
						UpperCAmelCase         =     MusicgenForConditionalGeneration(text_encoder=lowerCamelCase_    ,   audio_encoder=lowerCamelCase_    ,   decoder=lowerCamelCase_    )

						# load the pre-trained enc-dec projection (from the decoder state dict)
						model.enc_to_dec_proj.load_state_dict(lowerCamelCase_    )

						# check we can do a forward pass
						UpperCAmelCase         =     torch.arange(0    ,   8    ,   dtype=torch.long    ).reshape(2    ,   -1    )
						UpperCAmelCase         =     input_ids.reshape(2 * 4    ,   -1    )

						with torch.no_grad():
												UpperCAmelCase         =     model(input_ids=lowerCamelCase_    ,   decoder_input_ids=lowerCamelCase_    ).logits

						if logits.shape != (8, 1, 2_048):
												raise ValueError("Incorrect shape for logits"    )

						# now construct the processor
						UpperCAmelCase         =     AutoTokenizer.from_pretrained("t5-base"    )
						UpperCAmelCase         =     AutoFeatureExtractor.from_pretrained("facebook/encodec_32khz"    ,   padding_side="left"    )

						UpperCAmelCase         =     MusicgenProcessor(feature_extractor=lowerCamelCase_    ,   tokenizer=lowerCamelCase_    )

						# set the appropriate bos/pad token ids
						UpperCAmelCase         =     2_048
						UpperCAmelCase         =     2_048

						# set other default generation config params
						UpperCAmelCase         =     int(30 * audio_encoder.config.frame_rate    )
						UpperCAmelCase         =     True
						UpperCAmelCase         =     3.0

						if pytorch_dump_folder is not None:
												Path(lowerCamelCase_    ).mkdir(exist_ok=lowerCamelCase_    )
												logger.info(F'Saving model {checkpoint} to {pytorch_dump_folder}'    )
												model.save_pretrained(lowerCamelCase_    )
												processor.save_pretrained(lowerCamelCase_    )

						if repo_id:
												logger.info(F'Pushing model {checkpoint} to {repo_id}'    )
												model.push_to_hub(lowerCamelCase_    )
												processor.push_to_hub(lowerCamelCase_    )


if __name__ == "__main__":
		__lowerCamelCase     :							List[Any]  							=				argparse.ArgumentParser()
		# Required parameters
		parser.add_argument(
		    "--checkpoint",
		    default="small",
		    type=str,
		    help="Checkpoint size of the MusicGen model you'd like to convert. Can be one of: `['small', 'medium', 'large']`.",
		)
		parser.add_argument(
		    "--pytorch_dump_folder",
		    required=True,
		    default=None,
		    type=str,
		    help="Path to the output PyTorch model directory.",
		)
		parser.add_argument(
		    "--push_to_hub", default=None, type=str, help="Where to upload the converted model on the 🤗 hub."
		)
		parser.add_argument(
		    "--device", default="cpu", type=str, help="Torch device to run the conversion, either cpu or cuda."
		)

		__lowerCamelCase     :							Optional[int]  							=				parser.parse_args()
		convert_musicgen_checkpoint(args.checkpoint, args.pytorch_dump_folder, args.push_to_hub)



