"""simple docstring"""






from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
						import torch

if is_torch_tpu_available(check_device=False):
						import torch_xla.core.xla_model as xm


lowerCAmelCase__  :  str						     =	logging.get_logger(__name__)
@dataclass
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					snake_case__				    = [
					    "no_inference",
					    "no_cuda",
					    "no_tpu",
					    "no_speed",
					    "no_memory",
					    "no_env_print",
					    "no_multi_process",
					]







					def __init__(				self   :	Union[str, Any]    ,**lowerCamelCase__   :	Optional[Any]			):
									for deprecated_arg in self.deprecated_args:
													if deprecated_arg in kwargs:
																	UpperCAmelCase__             =							deprecated_arg[3:]
																	setattr(self    ,lowerCamelCase__    ,not kwargs.pop(lowerCamelCase__			)			)
																	logger.warning(
																	    f'''{deprecated_arg} is depreciated. Please use --no_{positive_arg} or'''
																	    f''' {positive_arg}={kwargs[positive_arg]}'''			)

									UpperCAmelCase__             =							kwargs.pop('torchscript'    ,self.torchscript			)
									UpperCAmelCase__             =							kwargs.pop('torch_xla_tpu_print_metrics'    ,self.torch_xla_tpu_print_metrics			)
									UpperCAmelCase__             =							kwargs.pop('fp16_opt_level'    ,self.fpaa_opt_level			)
									super().__init__(**lowerCamelCase__			)

					snake_case__				    = field(default=__UpperCAmelCase      ,    metadata={"help": "Trace the models using torchscript"}				)
					snake_case__				    = field(default=__UpperCAmelCase      ,    metadata={"help": "Print Xla/PyTorch tpu metrics"}				)
					snake_case__				    = field(
					    default="O1"      ,    metadata={
					        "help": (
					            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. "
					            "See details at https://nvidia.github.io/apex/amp.html"
					        )
					    }      ,    )







					@cached_property
					def 		__lowerCAmelCase						(				self   :	Optional[int]			):
									requires_backends(self    ,['torch']			)
									logger.info('PyTorch: setting up devices'			)
									if not self.cuda:
													UpperCAmelCase__             =							torch.device('cpu'			)
													UpperCAmelCase__             =							0
									elif is_torch_tpu_available():
													UpperCAmelCase__             =							xm.xla_device()
													UpperCAmelCase__             =							0
									else:
													UpperCAmelCase__             =							torch.device('cuda' if torch.cuda.is_available() else 'cpu'			)
													UpperCAmelCase__             =							torch.cuda.device_count()
									return device, n_gpu







					@property
					def 		__lowerCAmelCase						(				self   :	Tuple			):
									return is_torch_tpu_available() and self.tpu







					@property
					def 		__lowerCAmelCase						(				self   :	Any			):
									requires_backends(self    ,['torch']			)
									# TODO(PVP): currently only single GPU is supported
									return torch.cuda.current_device()







					@property
					def 		__lowerCAmelCase						(				self   :	Dict			):
									requires_backends(self    ,['torch']			)
									return self._setup_devices[0]







					@property
					def 		__lowerCAmelCase						(				self   :	int			):
									requires_backends(self    ,['torch']			)
									return self._setup_devices[1]







					@property
					def 		__lowerCAmelCase						(				self   :	List[str]			):
									return self.n_gpu > 0




"""simple docstring"""






import os
import sys
import unittest


lowerCAmelCase__  :  Tuple						     =	os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


lowerCAmelCase__  :  Tuple						     =	os.path.join('tests', 'models', 'bert', 'test_modeling_bert.py')
lowerCAmelCase__  :  Optional[Any]						     =	os.path.join('tests', 'models', 'blip', 'test_modeling_blip.py')
class 				snake_case       ( unittest.TestCase				):




					"""simple docstring"""

					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							get_test_to_tester_mapping(lowerCamelCase__			)
									UpperCAmelCase__             =							get_test_to_tester_mapping(lowerCamelCase__			)

									UpperCAmelCase__             =							{'BertModelTest': 'BertModelTester'}

									UpperCAmelCase__             =							{
									    'BlipModelTest': 'BlipModelTester',
									    'BlipTextImageModelTest': 'BlipTextImageModelsModelTester',
									    'BlipTextModelTest': 'BlipTextModelTester',
									    'BlipTextRetrievalModelTest': 'BlipTextRetrievalModelTester',
									    'BlipVQAModelTest': 'BlipVQAModelTester',
									    'BlipVisionModelTest': 'BlipVisionModelTester',
									}

									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)
									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	Optional[Any]			):
									UpperCAmelCase__             =							get_model_to_test_mapping(lowerCamelCase__			)
									UpperCAmelCase__             =							get_model_to_test_mapping(lowerCamelCase__			)

									UpperCAmelCase__             =							{
									    'BertForMaskedLM': ['BertModelTest'],
									    'BertForMultipleChoice': ['BertModelTest'],
									    'BertForNextSentencePrediction': ['BertModelTest'],
									    'BertForPreTraining': ['BertModelTest'],
									    'BertForQuestionAnswering': ['BertModelTest'],
									    'BertForSequenceClassification': ['BertModelTest'],
									    'BertForTokenClassification': ['BertModelTest'],
									    'BertLMHeadModel': ['BertModelTest'],
									    'BertModel': ['BertModelTest'],
									}

									UpperCAmelCase__             =							{
									    'BlipForConditionalGeneration': ['BlipTextImageModelTest'],
									    'BlipForImageTextRetrieval': ['BlipTextRetrievalModelTest'],
									    'BlipForQuestionAnswering': ['BlipVQAModelTest'],
									    'BlipModel': ['BlipModelTest'],
									    'BlipTextModel': ['BlipTextModelTest'],
									    'BlipVisionModel': ['BlipVisionModelTest'],
									}

									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)
									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	int			):
									UpperCAmelCase__             =							get_model_to_tester_mapping(lowerCamelCase__			)
									UpperCAmelCase__             =							get_model_to_tester_mapping(lowerCamelCase__			)

									UpperCAmelCase__             =							{
									    'BertForMaskedLM': ['BertModelTester'],
									    'BertForMultipleChoice': ['BertModelTester'],
									    'BertForNextSentencePrediction': ['BertModelTester'],
									    'BertForPreTraining': ['BertModelTester'],
									    'BertForQuestionAnswering': ['BertModelTester'],
									    'BertForSequenceClassification': ['BertModelTester'],
									    'BertForTokenClassification': ['BertModelTester'],
									    'BertLMHeadModel': ['BertModelTester'],
									    'BertModel': ['BertModelTester'],
									}

									UpperCAmelCase__             =							{
									    'BlipForConditionalGeneration': ['BlipTextImageModelsModelTester'],
									    'BlipForImageTextRetrieval': ['BlipTextRetrievalModelTester'],
									    'BlipForQuestionAnswering': ['BlipVQAModelTester'],
									    'BlipModel': ['BlipModelTester'],
									    'BlipTextModel': ['BlipTextModelTester'],
									    'BlipVisionModel': ['BlipVisionModelTester'],
									}

									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)
									self.assertEqual(get_test_info.to_json(lowerCamelCase__			)    ,lowerCamelCase__			)



