





import argparse

import torch

from transformers import (
    WavaVecaFeatureExtractor,
    WavLMConfig,
    WavLMForAudioFrameClassification,
    WavLMForSequenceClassification,
    WavLMForXVector,
    logging,
)


logging.set_verbosity_info()
__UpperCAmelCase						=      logging.get_logger(__name__)
def 			__UpperCamelCase				(			lowercase__	:       List[Any]		,    lowercase__	:       Optional[int]		,    lowercase__	:       Optional[Any]		)	->      int:
    '''simple docstring'''





    lowerCAmelCase_					:	Tuple						=   WavLMForSequenceClassification.from_pretrained(lowercase__		,    config=lowercase__		)
    lowerCAmelCase_					:	List[str]						=   downstream_dict["""projector.weight"""]
    lowerCAmelCase_					:	Dict						=   downstream_dict["""projector.bias"""]
    lowerCAmelCase_					:	int						=   downstream_dict["""model.post_net.linear.weight"""]
    lowerCAmelCase_					:	Union[str, Any]						=   downstream_dict["""model.post_net.linear.bias"""]
    return model
def 			__UpperCamelCase				(			lowercase__	:       Union[str, Any]		,    lowercase__	:       int		,    lowercase__	:       Optional[Any]		)	->      Tuple:
    '''simple docstring'''





    lowerCAmelCase_					:	Tuple						=   WavLMForAudioFrameClassification.from_pretrained(lowercase__		,    config=lowercase__		)
    lowerCAmelCase_					:	Optional[int]						=   downstream_dict["""model.linear.weight"""]
    lowerCAmelCase_					:	Optional[int]						=   downstream_dict["""model.linear.bias"""]
    return model
def 			__UpperCamelCase				(			lowercase__	:       List[Any]		,    lowercase__	:       str		,    lowercase__	:       List[Any]		)	->      Optional[Any]:
    '''simple docstring'''





    lowerCAmelCase_					:	Optional[Any]						=   WavLMForXVector.from_pretrained(lowercase__		,    config=lowercase__		)
    lowerCAmelCase_					:	Dict						=   downstream_dict["""connector.weight"""]
    lowerCAmelCase_					:	Any						=   downstream_dict["""connector.bias"""]
    for i, kernel_size in enumerate(hf_config.tdnn_kernel		):
        lowerCAmelCase_					:	int						=   downstream_dict[
            f'model.framelevel_feature_extractor.module.{i}.kernel.weight'
        ]
        lowerCAmelCase_					:	List[Any]						=   downstream_dict[f'model.framelevel_feature_extractor.module.{i}.kernel.bias']

    lowerCAmelCase_					:	List[Any]						=   downstream_dict["""model.utterancelevel_feature_extractor.linear1.weight"""]
    lowerCAmelCase_					:	List[Any]						=   downstream_dict["""model.utterancelevel_feature_extractor.linear1.bias"""]
    lowerCAmelCase_					:	Tuple						=   downstream_dict["""model.utterancelevel_feature_extractor.linear2.weight"""]
    lowerCAmelCase_					:	int						=   downstream_dict["""model.utterancelevel_feature_extractor.linear2.bias"""]
    lowerCAmelCase_					:	str						=   downstream_dict["""objective.W"""]
    return model
@torch.no_grad()
def 			__UpperCamelCase				(			lowercase__	:       Union[str, Any]		,    lowercase__	:       Tuple		,    lowercase__	:       List[Any]		,    lowercase__	:       Any		)	->      Tuple:
    '''simple docstring'''





    lowerCAmelCase_					:	List[str]						=   torch.load(lowercase__		,    map_location="""cpu"""		)

    lowerCAmelCase_					:	str						=   checkpoint["""Downstream"""]

    lowerCAmelCase_					:	List[Any]						=   WavLMConfig.from_pretrained(lowercase__		)
    lowerCAmelCase_					:	Union[str, Any]						=   WavaVecaFeatureExtractor.from_pretrained(
        lowercase__		,    return_attention_mask=lowercase__		,    do_normalize=lowercase__		)

    lowerCAmelCase_					:	List[Any]						=   hf_config.architectures[0]
    if arch.endswith("""ForSequenceClassification"""		):
        lowerCAmelCase_					:	Dict						=   convert_classification(lowercase__		,    lowercase__		,    lowercase__		)
    elif arch.endswith("""ForAudioFrameClassification"""		):
        lowerCAmelCase_					:	Tuple						=   convert_diarization(lowercase__		,    lowercase__		,    lowercase__		)
    elif arch.endswith("""ForXVector"""		):
        lowerCAmelCase_					:	Optional[int]						=   convert_xvector(lowercase__		,    lowercase__		,    lowercase__		)
    else:
        raise NotImplementedError(f'S3PRL weights conversion is not supported for {arch}'		)

    if hf_config.use_weighted_layer_sum:
        lowerCAmelCase_					:	Optional[Any]						=   checkpoint["""Featurizer"""]["""weights"""]

    hf_feature_extractor.save_pretrained(lowercase__		)
    hf_model.save_pretrained(lowercase__		)


if __name__ == "__main__":
  __UpperCAmelCase						=      argparse.ArgumentParser()
  parser.add_argument(
      '--base_model_name', default=None, type=str, help='Name of the huggingface pretrained base model.'
  )
  parser.add_argument('--config_path', default=None, type=str, help='Path to the huggingface classifier config.')
  parser.add_argument('--checkpoint_path', default=None, type=str, help='Path to the s3prl checkpoint.')
  parser.add_argument('--model_dump_path', default=None, type=str, help='Path to the final converted model.')
  __UpperCAmelCase						=      parser.parse_args()
  convert_saprl_checkpoint(args.base_model_name, args.config_path, args.checkpoint_path, args.model_dump_path)









from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    'cross_attention',
    '0.20.0',
    'Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.',
    standard_warn=False,
)


__UpperCAmelCase						=      AttentionProcessor

class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   List[Any]					,			*UpperCAmelCase	:   List[Any]					,			**UpperCAmelCase	:   Any			):
           lowerCAmelCase_					:	str						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)






class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   Optional[Any]					,			*UpperCAmelCase	:   List[Any]					,			**UpperCAmelCase	:   List[str]			):
           lowerCAmelCase_					:	List[Any]						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)






class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   List[str]					,			*UpperCAmelCase	:   str					,			**UpperCAmelCase	:   Union[str, Any]			):
           lowerCAmelCase_					:	Tuple						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)






class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   Optional[int]					,			*UpperCAmelCase	:   Union[str, Any]					,			**UpperCAmelCase	:   Any			):
           lowerCAmelCase_					:	Tuple						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)






class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   str					,			*UpperCAmelCase	:   Any					,			**UpperCAmelCase	:   List[Any]			):
           lowerCAmelCase_					:	Union[str, Any]						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)






class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   List[str]					,			*UpperCAmelCase	:   Union[str, Any]					,			**UpperCAmelCase	:   Tuple			):
           lowerCAmelCase_					:	Tuple						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)






class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   Dict					,			*UpperCAmelCase	:   int					,			**UpperCAmelCase	:   int			):
           lowerCAmelCase_					:	List[str]						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)






class 		__a							(	__UpperCamelCase      ):



       def __init__(     self	:   Optional[Any]					,			*UpperCAmelCase	:   Any					,			**UpperCAmelCase	:   int			):
           lowerCAmelCase_					:	Union[str, Any]						=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"			)			)} instead.'
           deprecate("""cross_attention"""					,			"""0.20.0"""					,			UpperCAmelCase					,			standard_warn=UpperCAmelCase			)
           super().__init__(*UpperCAmelCase					,			**UpperCAmelCase			)


