

'''simple docstring'''




import argparse
import json

import numpy
import torch

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


logging.set_verbosity_info()


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : List[str]							, SCREAMING_SNAKE_CASE   : str    ):
  # Load checkpoint
  UpperCAmelCase    				=						torch.load(SCREAMING_SNAKE_CASE							, map_location='cpu'    )

  UpperCAmelCase    				=						chkpt['model']

  # We have the base model one level deeper than the original XLM repository
  UpperCAmelCase    				=						{}
  for k, v in state_dict.items():
    if "pred_layer" in k:
      UpperCAmelCase    				=						v
    else:
      UpperCAmelCase    				=						v

  UpperCAmelCase    				=						chkpt['params']
  UpperCAmelCase    				=						{n: v for n, v in config.items() if not isinstance(SCREAMING_SNAKE_CASE							, (torch.FloatTensor, numpy.ndarray)    )}

  UpperCAmelCase    				=						chkpt['dico_word2id']
  UpperCAmelCase    				=						{s + '</w>' if s.find('@@'    ) == -1 and i > 13 else s.replace('@@'							, ''    ): i for s, i in vocab.items()}

  # Save pytorch-model
  UpperCAmelCase    				=						pytorch_dump_folder_path + '/' + WEIGHTS_NAME
  UpperCAmelCase    				=						pytorch_dump_folder_path + '/' + CONFIG_NAME
  UpperCAmelCase    				=						pytorch_dump_folder_path + '/' + VOCAB_FILES_NAMES['vocab_file']

  print(f'''Save PyTorch model to {pytorch_weights_dump_path}'''    )
  torch.save(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    )

  print(f'''Save configuration file to {pytorch_config_dump_path}'''    )
  with open(SCREAMING_SNAKE_CASE							, 'w'							, encoding='utf-8'    ) as f:
    f.write(json.dumps(SCREAMING_SNAKE_CASE							, indent=2    ) + '\n'    )

  print(f'''Save vocab file to {pytorch_config_dump_path}'''    )
  with open(SCREAMING_SNAKE_CASE							, 'w'							, encoding='utf-8'    ) as f:
    f.write(json.dumps(SCREAMING_SNAKE_CASE							, indent=2    ) + '\n'    )


if __name__ == "__main__":
  _a					:			List[Any]							=    argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      '--xlm_checkpoint_path', default=None, type=str, required=True, help='Path the official PyTorch dump.'
  )
  parser.add_argument(
      '--pytorch_dump_folder_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
  )
  _a					:			Optional[Any]							=    parser.parse_args()
  convert_xlm_checkpoint_to_pytorch(args.xlm_checkpoint_path, args.pytorch_dump_folder_path)





'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


_a					:			str							=    logging.get_logger(__name__)

_a					:			Dict							=    {
    'microsoft/cvt-13': 'https://huggingface.co/microsoft/cvt-13/resolve/main/config.json',
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}



class 							lowercase_						(		a			):

  '''simple docstring'''





  __lowerCAmelCase       :			List[Any]     	= "cvt"
  def __init__(  self ,			a_=3 ,			a_=[7, 3, 3] ,			a_=[4, 2, 2] ,			a_=[2, 1, 1] ,			a_=[6_4, 1_9_2, 3_8_4] ,			a_=[1, 3, 6] ,			a_=[1, 2, 1_0] ,			a_=[4.0, 4.0, 4.0] ,			a_=[0.0, 0.0, 0.0] ,			a_=[0.0, 0.0, 0.0] ,			a_=[0.0, 0.0, 0.1] ,			a_=[True, True, True] ,			a_=[False, False, True] ,			a_=["dw_bn", "dw_bn", "dw_bn"] ,			a_=[3, 3, 3] ,			a_=[1, 1, 1] ,			a_=[2, 2, 2] ,			a_=[1, 1, 1] ,			a_=[1, 1, 1] ,			a_=0.02 ,			a_=1E-12 ,			**a_ ,			)				->					Union[str, Any]:


    """simple docstring"""
    super().__init__(**a_  )
    UpperCAmelCase    				=						num_channels
    UpperCAmelCase    				=						patch_sizes
    UpperCAmelCase    				=						patch_stride
    UpperCAmelCase    				=						patch_padding
    UpperCAmelCase    				=						embed_dim
    UpperCAmelCase    				=						num_heads
    UpperCAmelCase    				=						depth
    UpperCAmelCase    				=						mlp_ratio
    UpperCAmelCase    				=						attention_drop_rate
    UpperCAmelCase    				=						drop_rate
    UpperCAmelCase    				=						drop_path_rate
    UpperCAmelCase    				=						qkv_bias
    UpperCAmelCase    				=						cls_token
    UpperCAmelCase    				=						qkv_projection_method
    UpperCAmelCase    				=						kernel_qkv
    UpperCAmelCase    				=						padding_kv
    UpperCAmelCase    				=						stride_kv
    UpperCAmelCase    				=						padding_q
    UpperCAmelCase    				=						stride_q
    UpperCAmelCase    				=						initializer_range
    UpperCAmelCase    				=						layer_norm_eps


