





'''simple docstring'''

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


lowercase__		:     Union[str, Any]			=							logging.get_logger(__name__)

lowercase__		:     Dict			=							{
    'facebook/vit-mae-base': 'https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}
class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Optional[Any]									=       'vit_mae'





       def __init__(				self  :						str			,					lowerCAmelCase__  :						Optional[int]=768			,					lowerCAmelCase__  :						Optional[int]=12			,					lowerCAmelCase__  :						List[Any]=12			,					lowerCAmelCase__  :						Dict=3072			,					lowerCAmelCase__  :						Optional[int]="gelu"			,					lowerCAmelCase__  :						Tuple=0.0			,					lowerCAmelCase__  :						List[str]=0.0			,					lowerCAmelCase__  :						List[Any]=0.02			,					lowerCAmelCase__  :						List[str]=1e-1_2			,					lowerCAmelCase__  :						Union[str, Any]=224			,					lowerCAmelCase__  :						Dict=16			,					lowerCAmelCase__  :						Optional[Any]=3			,					lowerCAmelCase__  :						Tuple=True			,					lowerCAmelCase__  :						str=16			,					lowerCAmelCase__  :						Union[str, Any]=512			,					lowerCAmelCase__  :						Optional[Any]=8			,					lowerCAmelCase__  :						Optional[Any]=2048			,					lowerCAmelCase__  :						Optional[int]=0.75			,					lowerCAmelCase__  :						List[str]=False			,					**lowerCAmelCase__  :						int			,					)       ->	Dict:

            '''simple docstring'''




            super().__init__(**lowerCAmelCase__	)

            _UpperCamelCase							       =			hidden_size
            _UpperCamelCase							       =			num_hidden_layers
            _UpperCamelCase							       =			num_attention_heads
            _UpperCamelCase							       =			intermediate_size
            _UpperCamelCase							       =			hidden_act
            _UpperCamelCase							       =			hidden_dropout_prob
            _UpperCamelCase							       =			attention_probs_dropout_prob
            _UpperCamelCase							       =			initializer_range
            _UpperCamelCase							       =			layer_norm_eps
            _UpperCamelCase							       =			image_size
            _UpperCamelCase							       =			patch_size
            _UpperCamelCase							       =			num_channels
            _UpperCamelCase							       =			qkv_bias
            _UpperCamelCase							       =			decoder_num_attention_heads
            _UpperCamelCase							       =			decoder_hidden_size
            _UpperCamelCase							       =			decoder_num_hidden_layers
            _UpperCamelCase							       =			decoder_intermediate_size
            _UpperCamelCase							       =			mask_ratio
            _UpperCamelCase							       =			norm_pix_loss









'''simple docstring'''







import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format="""%(asctime)s - %(levelname)s - %(name)s - %(message)s""", datefmt="""%m/%d/%Y %H:%M:%S""", level=logging.INFO
)
lowercase      :   Any      =       logging.getLogger(__name__)

if __name__ == "__main__":
      lowercase      :   List[Any]      =       argparse.ArgumentParser(
          description="""Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)"""
      )
      parser.add_argument(
          """--data_file""", type=str, default="""data/dump.bert-base-uncased.pickle""", help="""The binarized dataset."""
      )
      parser.add_argument(
          """--token_counts_dump""", type=str, default="""data/token_counts.bert-base-uncased.pickle""", help="""The dump file."""
      )
      parser.add_argument("""--vocab_size""", default=3_0522, type=int)
      lowercase      :   str      =       parser.parse_args()

      logger.info(F"""Loading data from {args.data_file}""")
      with open(args.data_file, """rb""") as fp:
            lowercase      :   int      =       pickle.load(fp)

      logger.info("""Counting occurrences for MLM.""")
      lowercase      :   List[Any]      =       Counter()
      for tk_ids in data:
            counter.update(tk_ids)
      lowercase      :   int      =       [0] * args.vocab_size
      for k, v in counter.items():
            lowercase      :   List[Any]      =       v

      logger.info(F"""Dump to {args.token_counts_dump}""")
      with open(args.token_counts_dump, """wb""") as handle:
            pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)



