

import os

import pytest
from attr import dataclass


__lowercase     : Optional[int]       =						'''us-east-1'''  # defaults region



@dataclass
class 						_A     :





  '''simple docstring'''



  __lowerCamelCase			:      str
  __lowerCamelCase			:      Dict					=   '''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
  __lowerCamelCase			:      Optional[Any]					=   {
      '''task_name''': '''mnli''',
      '''per_device_train_batch_size''': 1_6,
      '''per_device_eval_batch_size''': 1_6,
      '''do_train''': True,
      '''do_eval''': True,
      '''do_predict''': True,
      '''output_dir''': '''/opt/ml/model''',
      '''overwrite_output_dir''': True,
      '''max_steps''': 5_0_0,
      '''save_steps''': 5_5_0_0,
  }
  __lowerCamelCase			:      List[str]					=   {**hyperparameters, '''max_steps''': 1_0_0_0}





  @property
  def    snake_case_       (  self    ):

      '''simple docstring'''
      if self.framework == "pytorch":
          return [
              {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
              {"Name": "eval_accuracy", "Regex": r"eval_accuracy.*=\D*(.*?)$"},
              {"Name": "eval_loss", "Regex": r"eval_loss.*=\D*(.*?)$"},
          ]
      else:
          return [
              {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
              {"Name": "eval_accuracy", "Regex": r"loss.*=\D*(.*?)]?$"},
              {"Name": "eval_loss", "Regex": r"sparse_categorical_accuracy.*=\D*(.*?)]?$"},
          ]





  @property
  def    snake_case_       (  self    ):

      '''simple docstring'''
      return F"""{self.framework}-transfromers-test"""





  @property
  def    snake_case_       (  self    ):

      '''simple docstring'''
      return F"""./tests/sagemaker/scripts/{self.framework}"""





  @property
  def    snake_case_       (  self    ):

      '''simple docstring'''
      if self.framework == "pytorch":
          return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:1.7.1-transformers4.6.1-gpu-py36-cu110-ubuntu18.04"
      else:
          return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.6.1-gpu-py37-cu110-ubuntu18.04"







@pytest.fixture(scope="""class"""		)
def       lowercase					(	__A :					List[str]		)				->			List[str]:





    '''simple docstring'''




    snake_case							:		Optional[Any]        =		SageMakerTestEnvironment(framework=request.cls.framework		)










from packaging import version

from .import_utils import is_accelerate_available


if is_accelerate_available():
  import accelerate






def    _A	(   lowerCamelCase ):
   if not is_accelerate_available():
      return method
   a__						:    List[Any]   		=	version.parse(accelerate.__version__ ).base_version
   if version.parse(lowerCamelCase ) < version.parse("0.17.0" ):
      return method

   def wrapper(self				,			*lowerCamelCase				,			**lowerCamelCase ):
      if hasattr(self				,			"_hf_hook" ) and hasattr(self._hf_hook				,			"pre_forward" ):
         self._hf_hook.pre_forward(self )
      return method(self				,			*lowerCamelCase				,			**lowerCamelCase )

   return wrapper

