






'''simple docstring'''

import argparse

import torch

from transformers import (
    WavaVecaConfig,
    WavaVecaFeatureExtractor,
    WavaVecaForAudioFrameClassification,
    WavaVecaForSequenceClassification,
    WavaVecaForXVector,
    logging,
)


logging.set_verbosity_info()
UpperCamelCase      					=logging.get_logger(__name__)



def 				snake_case       (  a_				:			Tuple     , a_				:			Tuple     , a_				:			int						)							->					Optional[int]:





      """simple docstring"""

      UpperCamelCase_					: Optional[Any]            =				WavaVecaForSequenceClassification.from_pretrained(_UpperCamelCase     , config=_UpperCamelCase						)
      UpperCamelCase_					: Optional[int]            =				downstream_dict["projector.weight"]
      UpperCamelCase_					: str            =				downstream_dict["projector.bias"]
      UpperCamelCase_					: int            =				downstream_dict["model.post_net.linear.weight"]
      UpperCamelCase_					: Optional[Any]            =				downstream_dict["model.post_net.linear.bias"]
      return model



def 				snake_case       (  a_				:			Any     , a_				:			Optional[Any]     , a_				:			Tuple						)							->					Dict:





      """simple docstring"""

      UpperCamelCase_					: Tuple            =				WavaVecaForAudioFrameClassification.from_pretrained(_UpperCamelCase     , config=_UpperCamelCase						)
      UpperCamelCase_					: Any            =				downstream_dict["model.linear.weight"]
      UpperCamelCase_					: List[str]            =				downstream_dict["model.linear.bias"]
      return model



def 				snake_case       (  a_				:			List[Any]     , a_				:			Union[str, Any]     , a_				:			Dict						)							->					Optional[Any]:





      """simple docstring"""

      UpperCamelCase_					: Any            =				WavaVecaForXVector.from_pretrained(_UpperCamelCase     , config=_UpperCamelCase						)
      UpperCamelCase_					: str            =				downstream_dict["connector.weight"]
      UpperCamelCase_					: List[str]            =				downstream_dict["connector.bias"]
      for i, kernel_size in enumerate(hf_config.tdnn_kernel						):
            UpperCamelCase_					: Union[str, Any]            =				downstream_dict[
                f"model.framelevel_feature_extractor.module.{i}.kernel.weight"
            ]
            UpperCamelCase_					: Dict            =				downstream_dict[f"model.framelevel_feature_extractor.module.{i}.kernel.bias"]

      UpperCamelCase_					: Dict            =				downstream_dict["model.utterancelevel_feature_extractor.linear1.weight"]
      UpperCamelCase_					: List[Any]            =				downstream_dict["model.utterancelevel_feature_extractor.linear1.bias"]
      UpperCamelCase_					: Dict            =				downstream_dict["model.utterancelevel_feature_extractor.linear2.weight"]
      UpperCamelCase_					: Dict            =				downstream_dict["model.utterancelevel_feature_extractor.linear2.bias"]
      UpperCamelCase_					: Optional[Any]            =				downstream_dict["objective.W"]
      return model



@torch.no_grad()
def 				snake_case       (  a_				:			int     , a_				:			Optional[Any]     , a_				:			Dict     , a_				:			Tuple						)							->					Union[str, Any]:





      """simple docstring"""

      UpperCamelCase_					: Tuple            =				torch.load(_UpperCamelCase     , map_location="""cpu"""						)

      UpperCamelCase_					: Dict            =				checkpoint["Downstream"]

      UpperCamelCase_					: Optional[Any]            =				WavaVecaConfig.from_pretrained(_UpperCamelCase						)
      UpperCamelCase_					: Dict            =				WavaVecaFeatureExtractor.from_pretrained(
          _UpperCamelCase     , return_attention_mask=_UpperCamelCase     , do_normalize=_UpperCamelCase						)

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

      if hf_config.use_weighted_layer_sum:
            UpperCamelCase_					: List[str]            =				checkpoint["Featurizer"]["weights"]

      hf_feature_extractor.save_pretrained(_UpperCamelCase						)
      hf_model.save_pretrained(_UpperCamelCase						)


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)














'''simple docstring'''
import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command


class 							_UpperCAmelCase    (		unittest.TestCase      ):
    __lowerCamelCase: List[Any]									=     inspect.getfile(accelerate.test_utils      )
    __lowerCamelCase: List[Any]									=     os.path.sep.join(mod_file.split(os.path.sep      )[:-1] + ['scripts', 'test_cli.py']      )

    __lowerCamelCase: Optional[Any]									=     ['accelerate', 'launch']
    __lowerCamelCase: List[str]									=     Path.home() / '.cache/huggingface/accelerate'
    __lowerCamelCase: Dict									=     'default_config.yaml'
    __lowerCamelCase: Union[str, Any]									=     config_folder / config_file
    __lowerCamelCase: Tuple									=     config_folder / '_default_config.yaml'

    __lowerCamelCase: Union[str, Any]									=     Path('tests/test_configs'      )




    @classmethod
    def 					lowerCAmelCase__					(      cls	:							List[Any]      ):






       '''simple docstring'''






       if cls.config_path.is_file():
          cls.config_path.rename(cls.changed_path      )




    @classmethod
    def 					lowerCAmelCase__					(      cls	:							str      ):






       '''simple docstring'''






       if cls.changed_path.is_file():
          cls.changed_path.rename(cls.config_path      )




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     List[str]							     =  self.base_cmd
       if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
          cmd += ["--multi_gpu"]
       execute_subprocess_async(cmd + [self.test_file_path]	,  env=os.environ.copy()      )




    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       for config in sorted(self.test_config_path.glob("**/*.yaml"      )      ):
          with self.subTest(config_file=a      ):
             execute_subprocess_async(
                 self.base_cmd + ["--config_file", str(a      ), self.test_file_path]	,  env=os.environ.copy()      )





    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       execute_subprocess_async(["accelerate", "test"]	,  env=os.environ.copy()      )


class 							_UpperCAmelCase    (		unittest.TestCase      ):
    __lowerCamelCase: Tuple									=     'test-tpu'
    __lowerCamelCase: Dict									=     'us-central1-a'
    __lowerCamelCase: List[str]									=     'ls'
    __lowerCamelCase: Optional[int]									=     ['accelerate', 'tpu-config']
    __lowerCamelCase: Optional[Any]									=     'cd /usr/share'
    __lowerCamelCase: Any									=     'tests/test_samples/test_command_file.sh'
    __lowerCamelCase: Tuple									=     'Running gcloud compute tpus tpu-vm ssh'




    def 					lowerCAmelCase__					(      self	:							Tuple      ):






       '''simple docstring'''






       lowercase_						:     str							     =  run_command(
           self.cmd
           + ["--command", self.command, "--tpu_zone", self.tpu_zone, "--tpu_name", self.tpu_name, "--debug"]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     Optional[int]							     =  run_command(
           self.cmd
           + [
               "--config_file",
               "tests/test_configs/0_12_0.yaml",
               "--command",
               self.command,
               "--tpu_zone",
               self.tpu_zone,
               "--tpu_name",
               self.tpu_name,
               "--debug",
           ]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  run_command(
           self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--debug"]	,  return_stdout=a      )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       lowercase_						:     Any							     =  run_command(
           self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--command", self.command, "--debug"]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  run_command(
           self.cmd
           + [
               "--config_file",
               "tests/test_configs/latest.yaml",
               "--command",
               self.command,
               "--command",
               "echo \"Hello World\"",
               "--debug",
           ]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo \"Hello World\" --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  run_command(
           self.cmd
           + ["--config_file", "tests/test_configs/latest.yaml", "--command_file", self.command_file, "--debug"]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  run_command(
           self.cmd
           + [
               "--config_file",
               "tests/test_configs/0_12_0.yaml",
               "--command_file",
               self.command_file,
               "--tpu_zone",
               self.tpu_zone,
               "--tpu_name",
               self.tpu_name,
               "--debug",
           ]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  run_command(
           self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--install_accelerate", "--debug"]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo \"hello world\"; echo \"this is a second command\" --worker all"""	,  a	,  )





    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  run_command(
           self.cmd
           + [
               "--config_file",
               "tests/test_configs/latest.yaml",
               "--install_accelerate",
               "--accelerate_version",
               "12.0.0",
               "--debug",
           ]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo \"hello world\"; echo \"this is a second command\" --worker all"""	,  a	,  )




