





'''simple docstring'''






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


A__    :       int              =logging.get_logger(__name__)

A__    :       List[str]              ={
    '''sayakpaul/vit-msn-base''': '''https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json''',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}




class 			UpperCAmelCase					(      snake_case_       ):
      _lowercase:      List[Any]											=       '''vit_msn'''




      def __init__(      self      :			int      ,      __snake_case      :			List[str]=7_68      ,      __snake_case      :			List[str]=12      ,      __snake_case      :			List[Any]=12      ,      __snake_case      :			Any=30_72      ,      __snake_case      :			List[str]="gelu"      ,      __snake_case      :			List[Any]=0.0      ,      __snake_case      :			Any=0.0      ,      __snake_case      :			List[str]=0.02      ,      __snake_case      :			int=1E-0_6      ,      __snake_case      :			Dict=2_24      ,      __snake_case      :			Optional[int]=16      ,      __snake_case      :			List[str]=3      ,      __snake_case      :			Optional[int]=True      ,      **__snake_case      :			Dict      ,      )    ->				Tuple:
            super().__init__(**__snake_case  )

            _lowerCAmelCase												=							hidden_size
            _lowerCAmelCase												=							num_hidden_layers
            _lowerCAmelCase												=							num_attention_heads
            _lowerCAmelCase												=							intermediate_size
            _lowerCAmelCase												=							hidden_act
            _lowerCAmelCase												=							hidden_dropout_prob
            _lowerCAmelCase												=							attention_probs_dropout_prob
            _lowerCAmelCase												=							initializer_range
            _lowerCAmelCase												=							layer_norm_eps
            _lowerCAmelCase												=							image_size
            _lowerCAmelCase												=							patch_size
            _lowerCAmelCase												=							num_channels
            _lowerCAmelCase												=							qkv_bias













'''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     lowercase__   (      self      :			int  )    ->				Union[str, Any]:
            _lowerCAmelCase												=							inspect.getfile(accelerate.test_utils  )
            _lowerCAmelCase												=							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												=							test_metrics




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




      @require_cpu
      def     lowercase__   (      self      :			Tuple  )    ->				Tuple:
            debug_launcher(self.test_metrics.main  )




      @require_single_gpu
      def     lowercase__   (      self      :			Union[str, Any]  )    ->				str:
            self.test_metrics.main()




      @require_multi_gpu
      def     lowercase__   (      self      :			str  )    ->				List[str]:
            print(f"Found {torch.cuda.device_count()} devices."  )
            _lowerCAmelCase												=							["""torchrun""", f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
            with patch_environment(omp_num_threads=1  ):
                  execute_subprocess_async(__snake_case      ,      env=os.environ.copy()  )






