


'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


__snake_case				 =	logging.get_logger(__name__)

__snake_case				 =	{
    '''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   lowercase      (				A__   ):

		"""simple docstring"""

		_a       					=							'roberta'




		def __init__(						self       ,  UpperCamelCase_=50265       ,  UpperCamelCase_=768       ,  UpperCamelCase_=12       ,  UpperCamelCase_=12       ,  UpperCamelCase_=3072       ,  UpperCamelCase_="gelu"       ,  UpperCamelCase_=0.1       ,  UpperCamelCase_=0.1       ,  UpperCamelCase_=512       ,  UpperCamelCase_=2       ,  UpperCamelCase_=0.02       ,  UpperCamelCase_=1e-12       ,  UpperCamelCase_=1       ,  UpperCamelCase_=0       ,  UpperCamelCase_=2       ,  UpperCamelCase_="absolute"       ,  UpperCamelCase_=True       ,  UpperCamelCase_=None       ,  **UpperCamelCase_       ,  ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_       ,  bos_token_id=UpperCamelCase_       ,  eos_token_id=UpperCamelCase_       ,  **UpperCamelCase_				)

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



class   lowercase      (				A__   ):

		"""simple docstring"""

		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							if self.task == "multiple-choice":
												UpperCamelCase__  :List[Any]				   =					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
							else:
												UpperCamelCase__  :Dict				   =					{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   lowercase      (				unittest.TestCase   ):

		"""simple docstring"""

		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :Any				   =					inspect.getfile(accelerate.test_utils				)
							UpperCamelCase__  :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

							UpperCamelCase__  :List[str]				   =					test_metrics




		@require_cpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							debug_launcher(self.test_metrics.main       ,  num_processes=1				)




		@require_cpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							debug_launcher(self.test_metrics.main				)




		@require_single_gpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							self.test_metrics.main()




		@require_multi_gpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							print(F'''Found {torch.cuda.device_count()} devices.'''				)
							UpperCamelCase__  :Optional[Any]				   =					['''torchrun''', F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
							with patch_environment(omp_num_threads=1				):
												execute_subprocess_async(UpperCamelCase_       ,  env=os.environ.copy()				)