
# 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.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async





def 			lowerCamelCase_ (				lowerCamelCase__=None    ):
				if subparsers is not None:
								lowerCamelCase_						=			subparsers.add_parser("test"    )
				else:
								lowerCamelCase_						=			argparse.ArgumentParser("Accelerate test command"    )

				parser.add_argument(
				    "--config_file"	, default=lowerCamelCase__	, help=(
				        "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
				        "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
				        "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
				        "with 'huggingface'."
				    )	, )

				if subparsers is not None:
								parser.set_defaults(func=lowerCamelCase__    )
				return parser





def 			lowerCamelCase_ (				lowerCamelCase__    ):
				lowerCamelCase_						=			os.path.sep.join(__file__.split(os.path.sep    )[:-2] + ["test_utils", "scripts", "test_script.py"]    )

				if args.config_file is None:
								lowerCamelCase_						=			script_name
				else:
								lowerCamelCase_						=			F'--config_file={args.config_file} {script_name}'

				lowerCamelCase_						=			["accelerate-launch"] + test_args.split()
				lowerCamelCase_						=			execute_subprocess_async(lowerCamelCase__	, env=os.environ.copy()    )
				if result.returncode == 0:
								print("Test is a success! You are ready for your distributed training!"    )





def 			lowerCamelCase_ (				):
				lowerCamelCase_						=			test_command_parser()
				lowerCamelCase_						=			parser.parse_args()
				test_command(lowerCamelCase__    )


if __name__ == "__main__":
			main()




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


__lowerCAmelCase			:     List[Any]           =   logging.get_logger(__name__)

__lowerCAmelCase			:     int           =   {
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class        UpperCAmelCase_			( _A     ):


  '''simple docstring'''







  a__           =		"""biogpt"""
  def __init__( self			: List[str]			,							UpperCamelCase__			: Optional[Any]=4_2384			,							UpperCamelCase__			: Union[str, Any]=1024			,							UpperCamelCase__			: Any=24			,							UpperCamelCase__			: Union[str, Any]=16			,							UpperCamelCase__			: Tuple=4096			,							UpperCamelCase__			: Tuple="gelu"			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: str=1024			,							UpperCamelCase__			: Any=0.02			,							UpperCamelCase__			: List[str]=1E-12			,							UpperCamelCase__			: Dict=True			,							UpperCamelCase__			: Optional[int]=True			,							UpperCamelCase__			: Union[str, Any]=0.0			,							UpperCamelCase__			: Any=0.0			,							UpperCamelCase__			: List[str]=1			,							UpperCamelCase__			: Dict=0			,							UpperCamelCase__			: List[str]=2			,							**UpperCamelCase__			: Optional[int]			,							)			->	Tuple:







    """simple docstring"""






    __magic_name__				     =       vocab_size
    __magic_name__				     =       max_position_embeddings
    __magic_name__				     =       hidden_size
    __magic_name__				     =       num_hidden_layers
    __magic_name__				     =       num_attention_heads
    __magic_name__				     =       intermediate_size
    __magic_name__				     =       hidden_act
    __magic_name__				     =       hidden_dropout_prob
    __magic_name__				     =       attention_probs_dropout_prob
    __magic_name__				     =       initializer_range
    __magic_name__				     =       layer_norm_eps
    __magic_name__				     =       scale_embedding
    __magic_name__				     =       use_cache
    __magic_name__				     =       layerdrop
    __magic_name__				     =       activation_dropout
    super().__init__(pad_token_id=UpperCamelCase__			,							bos_token_id=UpperCamelCase__			,							eos_token_id=UpperCamelCase__			,							**UpperCamelCase__    )

