





"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase					      =   logging.get_logger(__name__)

_UpperCamelCase					      =   {
    'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/config.json',
    'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/config.json',
    'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/config.json',
    'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/config.json',
    'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json',
    'roberta-large-openai-detector': 'https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json',
}
class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""
				__snake_case :							List[Any]									=		"""roberta"""




				def __init__(  self	:List[Any]    ,     __lowercase	:str=5_0265    ,     __lowercase	:int=768    ,     __lowercase	:List[Any]=12    ,     __lowercase	:Any=12    ,     __lowercase	:Tuple=3072    ,     __lowercase	:str="gelu"    ,     __lowercase	:Tuple=0.1    ,     __lowercase	:Tuple=0.1    ,     __lowercase	:List[Any]=512    ,     __lowercase	:int=2    ,     __lowercase	:Any=0.02    ,     __lowercase	:Tuple=1e-1_2    ,     __lowercase	:Tuple=1    ,     __lowercase	:Optional[Any]=0    ,     __lowercase	:Optional[Any]=2    ,     __lowercase	:Union[str, Any]="absolute"    ,     __lowercase	:int=True    ,     __lowercase	:List[str]=None    ,     **__lowercase	:List[Any]    ,     ):
											super().__init__(pad_token_id=__lowercase    ,     bos_token_id=__lowercase    ,     eos_token_id=__lowercase    ,     **__lowercase      )

											__lowerCamelCase   :   List[Any]       =vocab_size
											__lowerCamelCase   :   Optional[Any]       =hidden_size
											__lowerCamelCase   :   Optional[int]       =num_hidden_layers
											__lowerCamelCase   :   Optional[Any]       =num_attention_heads
											__lowerCamelCase   :   List[Any]       =hidden_act
											__lowerCamelCase   :   Optional[int]       =intermediate_size
											__lowerCamelCase   :   Tuple       =hidden_dropout_prob
											__lowerCamelCase   :   List[Any]       =attention_probs_dropout_prob
											__lowerCamelCase   :   str       =max_position_embeddings
											__lowerCamelCase   :   Optional[int]       =type_vocab_size
											__lowerCamelCase   :   Optional[int]       =initializer_range
											__lowerCamelCase   :   Tuple       =layer_norm_eps
											__lowerCamelCase   :   Dict       =position_embedding_type
											__lowerCamelCase   :   Optional[int]       =use_cache
											__lowerCamelCase   :   str       =classifier_dropout

class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""




				@property
				def        __lowercase	(  self	:Dict      ):
											if self.task == "multiple-choice":
																		__lowerCamelCase   :   Tuple       ={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
											else:
																		__lowerCamelCase   :   Optional[Any]       ={0: '''batch''', 1: '''sequence'''}
											return OrderedDict(
											    [
											        ('''input_ids''', dynamic_axis),
											        ('''attention_mask''', dynamic_axis),
											    ]      )











"""simple docstring"""





import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment
@require_huggingface_suite
class 		SCREAMING_SNAKE_CASE_				(     unittest.TestCase ):
				"""simple docstring"""




				def        __lowercase	(  self	:Dict      ):
											__lowerCamelCase   :   Union[str, Any]       =inspect.getfile(accelerate.test_utils      )
											__lowerCamelCase   :   Union[str, Any]       =os.path.sep.join(
											    mod_file.split(os.path.sep      )[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']      )

											from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

											__lowerCamelCase   :   List[str]       =test_metrics




				@require_cpu
				def        __lowercase	(  self	:Optional[Any]      ):
											debug_launcher(self.test_metrics.main    ,     num_processes=1      )




				@require_cpu
				def        __lowercase	(  self	:int      ):
											debug_launcher(self.test_metrics.main      )




				@require_single_gpu
				def        __lowercase	(  self	:int      ):
											self.test_metrics.main()




				@require_multi_gpu
				def        __lowercase	(  self	:Dict      ):
											print(f'Found {torch.cuda.device_count()} devices.'      )
											__lowerCamelCase   :   Union[str, Any]       =['''torchrun''', f'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
											with patch_environment(omp_num_threads=1      ):
																		execute_subprocess_async(__lowercase    ,     env=os.environ.copy()      )




