


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


_lowercase							:   Optional[Any]						=						logging.get_logger(__name__)

_lowercase							:   Tuple						=						{
    "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}






class    _UpperCamelCase     (       __snake_case					):

				"""simple docstring"""







				lowerCAmelCase					=			'gpt_neox'

				def __init__(    self					, a__=5_0432					, a__=6144					, a__=44					, a__=64					, a__=2_4576					, a__="gelu"					, a__=0.25					, a__=1_0000					, a__=0.0					, a__=0.0					, a__=0.1					, a__=2048					, a__=0.02					, a__=1e-5					, a__=True					, a__=0					, a__=2					, a__=False					, a__=True					, a__=None					, **a__					, )						->					Any:
					super().__init__(bos_token_id=a__					, eos_token_id=a__					, **a__ )
					A             =					vocab_size
					A             =					max_position_embeddings
					A             =					hidden_size
					A             =					num_hidden_layers
					A             =					num_attention_heads
					A             =					intermediate_size
					A             =					hidden_act
					A             =					rotary_pct
					A             =					rotary_emb_base
					A             =					attention_dropout
					A             =					hidden_dropout
					A             =					classifier_dropout
					A             =					initializer_range
					A             =					layer_norm_eps
					A             =					use_cache
					A             =					tie_word_embeddings
					A             =					use_parallel_residual
					A             =					rope_scaling
					self._rope_scaling_validation()

					if self.hidden_size % self.num_attention_heads != 0:
						raise ValueError(
						    """The hidden size is not divisble by the number of attention heads! Make sure to update them!""" )

				def   _UpperCAmelCase       (    self )						->					Union[str, Any]:
					if self.rope_scaling is None:
						return

					if not isinstance(self.rope_scaling					, a__ ) or len(self.rope_scaling ) != 2:
						raise ValueError(
						    """`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, """
						    f'got {self.rope_scaling}' )
					A             =					self.rope_scaling.get("""type"""					, a__ )
					A             =					self.rope_scaling.get("""factor"""					, a__ )
					if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
						raise ValueError(
						    f'`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}' )
					if rope_scaling_factor is None or not isinstance(a__					, a__ ) or rope_scaling_factor <= 1.0:
						raise ValueError(f'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}' )







# 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					( UpperCamelCase__:  List[Any]=None    )			-> Union[str, Any]:





	"""simple docstring"""







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

	parser.add_argument(
	    """--config_file"""				,       default=UpperCamelCase__				,       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=UpperCamelCase__    )
	return parser





def 	_lowerCAmelCase					( UpperCamelCase__:  Union[str, Any]    )			-> Any:





	"""simple docstring"""







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

	if args.config_file is None:
		A             =					script_name
	else:
		A             =					f'--config_file={args.config_file} {script_name}'

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





def 	_lowerCAmelCase					( )			-> List[Any]:





	"""simple docstring"""







	A             =					test_command_parser()
	A             =					parser.parse_args()
	test_command(UpperCamelCase__    )


if __name__ == "__main__":
				main()



