



import os

import pytest
from attr import dataclass


UpperCAmelCase_		 =					"""us-east-1"""  # defaults region


@dataclass
class 	lowerCamelCase__	:



 """simple docstring"""

 a__					: str
 a__					: List[str] =  "arn:aws:iam::558105141721:role/sagemaker_execution_role"
 a__					: List[Any] =  {
     "task_name": "mnli",
     "per_device_train_batch_size": 16,
     "per_device_eval_batch_size": 16,
     "do_train": True,
     "do_eval": True,
     "do_predict": True,
     "output_dir": "/opt/ml/model",
     "overwrite_output_dir": True,
     "max_steps": 500,
     "save_steps": 5500,
 }
 a__					: List[str] =  {**hyperparameters, "max_steps": 1000}

 @property
 def     snake_case_      (    self					:					Optional[Any]      )   ->	str:
    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					:					List[str]      )   ->	str:
    return f'''{self.framework}-transfromers-test'''

 @property
 def     snake_case_      (    self					:					Dict      )   ->	str:
    return f'''./tests/sagemaker/scripts/{self.framework}'''

 @property
 def     snake_case_      (    self					:					str      )   ->	str:
    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 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Union[str, Any]				)  ->     List[str]:
   _A      =       SageMakerTestEnvironment(framework=request.cls.framework				)








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


UpperCAmelCase_		 =					logging.get_logger(__name__)

UpperCAmelCase_		 =					{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}


class 	lowerCamelCase__	(       _A):



 """simple docstring"""

 a__					: int =  "openai-gpt"
 a__					: Dict =  {
     "max_position_embeddings": "n_positions",
     "hidden_size": "n_embd",
     "num_attention_heads": "n_head",
     "num_hidden_layers": "n_layer",
 }

 def __init__(    self					:					Union[str, Any]			,						__lowerCAmelCase					:					int=4_04_78			,						__lowerCAmelCase					:					Tuple=5_12			,						__lowerCAmelCase					:					str=7_68			,						__lowerCAmelCase					:					List[Any]=12			,						__lowerCAmelCase					:					Any=12			,						__lowerCAmelCase					:					Dict="gelu"			,						__lowerCAmelCase					:					Union[str, Any]=0.1			,						__lowerCAmelCase					:					Optional[int]=0.1			,						__lowerCAmelCase					:					Any=0.1			,						__lowerCAmelCase					:					List[str]=1E-5			,						__lowerCAmelCase					:					Optional[int]=0.02			,						__lowerCAmelCase					:					Optional[Any]="cls_index"			,						__lowerCAmelCase					:					str=True			,						__lowerCAmelCase					:					int=None			,						__lowerCAmelCase					:					Optional[int]=True			,						__lowerCAmelCase					:					Optional[Any]=0.1			,						**__lowerCAmelCase					:					Tuple			,						)   ->	Optional[Any]:
    _A      =       vocab_size
    _A      =       n_positions
    _A      =       n_embd
    _A      =       n_layer
    _A      =       n_head
    _A      =       afn
    _A      =       resid_pdrop
    _A      =       embd_pdrop
    _A      =       attn_pdrop
    _A      =       layer_norm_epsilon
    _A      =       initializer_range
    _A      =       summary_type
    _A      =       summary_use_proj
    _A      =       summary_activation
    _A      =       summary_first_dropout
    _A      =       summary_proj_to_labels
    super().__init__(**__lowerCAmelCase      )



