
from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__		:     List[str]     			=      logging.get_logger(__name__)

UpperCAmelCase__		:     Dict     			=      {
    'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/config.json',
    'distilbert-base-uncased-distilled-squad': (
        'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/config.json',
    'distilbert-base-cased-distilled-squad': (
        'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json',
    'distilbert-base-multilingual-cased': (
        'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'
    ),
    'distilbert-base-uncased-finetuned-sst-2-english': (
        'https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'
    ),
}






class UpperCAmelCase   (						lowerCAmelCase_   ):





   '''simple docstring'''
   __UpperCamelCase		:    Optional[Any] 				=    '''distilbert'''
   __UpperCamelCase		:    Any 				=    {
       '''hidden_size''': '''dim''',
       '''num_attention_heads''': '''n_heads''',
       '''num_hidden_layers''': '''n_layers''',
   }


   def __init__(					self     :							Optional[int]			,			lowerCAmelCase_     :							Any=3_0_5_2_2			,			lowerCAmelCase_     :							Dict=5_1_2			,			lowerCAmelCase_     :							Optional[int]=False			,			lowerCAmelCase_     :							str=6			,			lowerCAmelCase_     :							Union[str, Any]=1_2			,			lowerCAmelCase_     :							Any=7_6_8			,			lowerCAmelCase_     :							Optional[int]=4 * 7_6_8			,			lowerCAmelCase_     :							Optional[int]=0.1			,			lowerCAmelCase_     :							Any=0.1			,			lowerCAmelCase_     :							str="gelu"			,			lowerCAmelCase_     :							str=0.02			,			lowerCAmelCase_     :							Dict=0.1			,			lowerCAmelCase_     :							Any=0.2			,			lowerCAmelCase_     :							Optional[int]=0			,			**lowerCAmelCase_     :							Optional[int]			,			):

      """simple docstring"""
      _A:  Any					=       vocab_size
      _A:  List[str]					=       max_position_embeddings
      _A:  Optional[Any]					=       sinusoidal_pos_embds
      _A:  int					=       n_layers
      _A:  Optional[Any]					=       n_heads
      _A:  Optional[int]					=       dim
      _A:  Optional[int]					=       hidden_dim
      _A:  Optional[Any]					=       dropout
      _A:  Tuple					=       attention_dropout
      _A:  Dict					=       activation
      _A:  List[str]					=       initializer_range
      _A:  Optional[Any]					=       qa_dropout
      _A:  Optional[int]					=       seq_classif_dropout
      super().__init__(**__a			,			pad_token_id=__a     )






class UpperCAmelCase   (						lowerCAmelCase_   ):





   '''simple docstring'''


   @property
   def  __magic_name__				(					self     :							Optional[int]     ):

      """simple docstring"""





      if self.task == "multiple-choice":
         _A:  Dict					=       {0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
         _A:  Optional[int]					=       {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 							__UpperCamelCase				(		unittest.TestCase					):




	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						__a			:       List[Any]					    =  inspect.getfile(accelerate.test_utils							)
						__a			:       List[str]					    =  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

						__a			:       Union[str, Any]					    =  test_metrics




	@require_cpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





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




	@require_cpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						debug_launcher(self.test_metrics.main							)




	@require_single_gpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						self.test_metrics.main()





	@require_multi_gpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





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



