


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


lowerCAmelCase__      		= logging.get_logger(__name__)

lowerCAmelCase__      		= {
    'microsoft/trocr-base-handwritten': (
        'https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json'
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}







class      lowerCAmelCase__       (				a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE  			= "trocr"
     __SCREAMING_SNAKE_CASE  			= ["past_key_values"]
     __SCREAMING_SNAKE_CASE  			= {
         "num_attention_heads": "decoder_attention_heads",
         "hidden_size": "d_model",
         "num_hidden_layers": "decoder_layers",
     }


     def __init__(						self ,						__lowerCamelCase=5_0_2_6_5 ,						__lowerCamelCase=1_0_2_4 ,						__lowerCamelCase=1_2 ,						__lowerCamelCase=1_6 ,						__lowerCamelCase=4_0_9_6 ,						__lowerCamelCase="gelu" ,						__lowerCamelCase=5_1_2 ,						__lowerCamelCase=0.1 ,						__lowerCamelCase=0.0 ,						__lowerCamelCase=0.0 ,						__lowerCamelCase=2 ,						__lowerCamelCase=0.0_2 ,						__lowerCamelCase=0.0 ,						__lowerCamelCase=True ,						__lowerCamelCase=False ,						__lowerCamelCase=True ,						__lowerCamelCase=True ,						__lowerCamelCase=1 ,						__lowerCamelCase=0 ,						__lowerCamelCase=2 ,						**__lowerCamelCase ,						)			->				List[Any]:
            _A      :       Tuple				    = vocab_size
            _A      :       int				    = d_model
            _A      :       Optional[Any]				    = decoder_layers
            _A      :       int				    = decoder_attention_heads
            _A      :       List[Any]				    = decoder_ffn_dim
            _A      :       int				    = activation_function
            _A      :       int				    = max_position_embeddings
            _A      :       int				    = dropout
            _A      :       Tuple				    = attention_dropout
            _A      :       Any				    = activation_dropout
            _A      :       List[str]				    = init_std
            _A      :       Optional[int]				    = decoder_layerdrop
            _A      :       Tuple				    = use_cache
            _A      :       str				    = scale_embedding
            _A      :       Any				    = use_learned_position_embeddings
            _A      :       Optional[Any]				    = layernorm_embedding

            super().__init__(
                pad_token_id=__lowerCamelCase ,						bos_token_id=__lowerCamelCase ,						eos_token_id=__lowerCamelCase ,						decoder_start_token_id=__lowerCamelCase ,						**__lowerCamelCase ,						)





"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser

def       _snake_case						(						):
 UpperCAmelCase	:					List[str]	=	ArgumentParser("""Accelerate CLI tool"""			,		usage="""accelerate <command> [<args>]"""			,		allow_abbrev=UpperCamelCase						)
 UpperCAmelCase	:					Dict	=	parser.add_subparsers(help="""accelerate command helpers"""						)

 # Register commands
 get_config_parser(subparsers=UpperCamelCase						)
 env_command_parser(subparsers=UpperCamelCase						)
 launch_command_parser(subparsers=UpperCamelCase						)
 tpu_command_parser(subparsers=UpperCamelCase						)
 test_command_parser(subparsers=UpperCamelCase						)

 # Let's go
 UpperCAmelCase	:					Optional[int]	=	parser.parse_args()

 if not hasattr(UpperCamelCase			,		"""func"""						):
  parser.print_help()
  exit(1						)

 # Run
 args.func(UpperCamelCase						)


if __name__ == "__main__":
      main()
