

'''simple docstring'''







import copy
import inspect

from transformers.testing_utils import require_torch, torch_device
from transformers.utils.backbone_utils import BackboneType
@require_torch
class 					__a   :
						__SCREAMING_SNAKE_CASE     :					List[Any]  =      ()
						__SCREAMING_SNAKE_CASE     :					Union[str, Any]  =      True

						def 	_UpperCAmelCase							(		self	:						Union[str, Any])						->Optional[int]:

							"""simple docstring"""



							_lowercase							=     self.config_class

							# test default config
							_lowercase							=     config_class()
							self.assertIsNotNone(lowercase__)
							_lowercase							=     ["""stem"""] + [f"""stage{idx}""" for idx in range(1    ,			len(config.depths) + 1)]
							self.assertEqual(config.stage_names    ,			lowercase__)
							self.assertTrue(set(config.out_features).issubset(set(config.stage_names)))

							# Test out_features and out_indices are correctly set
							# out_features and out_indices both None
							_lowercase							=     config_class(out_features=lowercase__    ,			out_indices=lowercase__)
							self.assertEqual(config.out_features    ,			[config.stage_names[-1]])
							self.assertEqual(config.out_indices    ,			[len(config.stage_names) - 1])

							# out_features and out_indices both set
							_lowercase							=     config_class(out_features=["""stem""", """stage1"""]    ,			out_indices=[0, 1])
							self.assertEqual(config.out_features    ,			["""stem""", """stage1"""])
							self.assertEqual(config.out_indices    ,			[0, 1])

							# Only out_features set
							_lowercase							=     config_class(out_features=["""stage1""", """stage3"""])
							self.assertEqual(config.out_features    ,			["""stage1""", """stage3"""])
							self.assertEqual(config.out_indices    ,			[1, 3])

							# Only out_indices set
							_lowercase							=     config_class(out_indices=[0, 2])
							self.assertEqual(config.out_features    ,			[config.stage_names[0], config.stage_names[2]])
							self.assertEqual(config.out_indices    ,			[0, 2])

							# Error raised when out_indices do not correspond to out_features
							with self.assertRaises(lowercase__):
								_lowercase							=     config_class(out_features=["""stage1""", """stage2"""]    ,			out_indices=[0, 2])

						def 	_UpperCAmelCase							(		self	:						Any)						->Dict:

							"""simple docstring"""



							_lowercase		,		_lowercase							=     self.model_tester.prepare_config_and_inputs_for_common()

							for model_class in self.all_model_classes:
								_lowercase							=     model_class(lowercase__)
								_lowercase							=     inspect.signature(model.forward)
								# signature.parameters is an OrderedDict => so arg_names order is deterministic
								_lowercase							=     [*signature.parameters.keys()]
								_lowercase							=     ["""pixel_values"""]
								self.assertListEqual(arg_names[:1]    ,			lowercase__)

						def 	_UpperCAmelCase							(		self	:						Tuple)						->Any:

							"""simple docstring"""



							_lowercase		,		_lowercase							=     self.model_tester.prepare_config_and_inputs_for_common()

							for model_class in self.all_model_classes:
								_lowercase							=     model_class(lowercase__)
								self.assertEqual(len(model.channels)    ,			len(config.out_features))
								_lowercase							=     model.num_features
								_lowercase							=     [config.stage_names.index(lowercase__) for feat in config.out_features]
								_lowercase							=     [num_features[idx] for idx in out_indices]
								self.assertListEqual(model.channels    ,			lowercase__)

								_lowercase							=     copy.deepcopy(lowercase__)
								_lowercase							=     None
								_lowercase							=     model_class(lowercase__)
								self.assertEqual(len(model.channels)    ,			1)
								self.assertListEqual(model.channels    ,			[num_features[-1]])

								_lowercase							=     copy.deepcopy(lowercase__)
								_lowercase							=     None
								_lowercase							=     model_class(lowercase__)
								self.assertEqual(len(model.channels)    ,			1)
								self.assertListEqual(model.channels    ,			[num_features[-1]])

						def 	_UpperCAmelCase							(		self	:						List[str])						->Tuple:

							"""simple docstring"""



							_lowercase		,		_lowercase							=     self.model_tester.prepare_config_and_inputs_for_common()

							for model_class in self.all_model_classes:
								_lowercase							=     model_class(lowercase__)
								model.to(lowercase__)
								model.eval()
								_lowercase							=     model(**lowercase__)

								self.assertEqual(len(result.feature_maps)    ,			len(config.out_features))
								self.assertEqual(len(model.channels)    ,			len(config.out_features))
								self.assertEqual(len(result.feature_maps)    ,			len(config.out_indices))
								self.assertEqual(len(model.channels)    ,			len(config.out_indices))

								# Check output of last stage is taken if out_features=None, out_indices=None
								_lowercase							=     copy.deepcopy(lowercase__)
								_lowercase							=     None
								_lowercase							=     model_class(lowercase__)
								model.to(lowercase__)
								model.eval()
								_lowercase							=     model(**lowercase__)

								self.assertEqual(len(result.feature_maps)    ,			1)
								self.assertEqual(len(model.channels)    ,			1)

								_lowercase							=     copy.deepcopy(lowercase__)
								_lowercase							=     None
								_lowercase							=     model_class(lowercase__)
								model.to(lowercase__)
								model.eval()
								_lowercase							=     model(**lowercase__)

								self.assertEqual(len(result.feature_maps)    ,			1)
								self.assertEqual(len(model.channels)    ,			1)

								# Check backbone can be initialized with fresh weights
								_lowercase							=     copy.deepcopy(lowercase__)
								_lowercase							=     False
								_lowercase							=     model_class(lowercase__)
								model.to(lowercase__)
								model.eval()
								_lowercase							=     model(**lowercase__)

						def 	_UpperCAmelCase							(		self	:						Tuple)						->Dict:

							"""simple docstring"""



							_lowercase		,		_lowercase							=     self.model_tester.prepare_config_and_inputs_for_common()

							for backbone_class in self.all_model_classes:
								_lowercase							=     backbone_class(lowercase__)

								self.assertTrue(hasattr(lowercase__    ,			"""backbone_type"""))
								self.assertTrue(hasattr(lowercase__    ,			"""stage_names"""))
								self.assertTrue(hasattr(lowercase__    ,			"""num_features"""))
								self.assertTrue(hasattr(lowercase__    ,			"""out_indices"""))
								self.assertTrue(hasattr(lowercase__    ,			"""out_features"""))
								self.assertTrue(hasattr(lowercase__    ,			"""out_feature_channels"""))
								self.assertTrue(hasattr(lowercase__    ,			"""channels"""))

								self.assertIsInstance(backbone.backbone_type    ,			lowercase__)
								# Verify num_features has been initialized in the backbone init
								self.assertIsNotNone(backbone.num_features)
								self.assertTrue(len(backbone.channels) == len(backbone.out_indices))
								self.assertTrue(len(backbone.stage_names) == len(backbone.num_features))
								self.assertTrue(len(backbone.channels) <= len(backbone.num_features))
								self.assertTrue(len(backbone.out_feature_channels) == len(backbone.stage_names))


						def 	_UpperCAmelCase							(		self	:						Dict)						->Union[str, Any]:

							"""simple docstring"""



							_lowercase		,		_lowercase							=     self.model_tester.prepare_config_and_inputs_for_common()
							_lowercase							=     inputs_dict["""pixel_values"""].shape[0]

							for backbone_class in self.all_model_classes:
								_lowercase							=     backbone_class(lowercase__)
								backbone.to(lowercase__)
								backbone.eval()

								_lowercase							=     backbone(**lowercase__)

								# Test default outputs and verify feature maps
								self.assertIsInstance(outputs.feature_maps    ,			lowercase__)
								self.assertTrue(len(outputs.feature_maps) == len(backbone.channels))
								for feature_map, n_channels in zip(outputs.feature_maps    ,			backbone.channels):
									self.assertTrue(feature_map.shape[:2]    ,			(batch_size, n_channels))
								self.assertIsNone(outputs.hidden_states)
								self.assertIsNone(outputs.attentions)

								# Test output_hidden_states=True
								_lowercase							=     backbone(**lowercase__    ,			output_hidden_states=lowercase__)
								self.assertIsNotNone(outputs.hidden_states)
								self.assertTrue(len(outputs.hidden_states)    ,			len(backbone.stage_names))
								for hidden_state, n_channels in zip(outputs.hidden_states    ,			backbone.channels):
									self.assertTrue(hidden_state.shape[:2]    ,			(batch_size, n_channels))

								# Test output_attentions=True
								if self.has_attentions:
									_lowercase							=     backbone(**lowercase__    ,			output_attentions=lowercase__)
									self.assertIsNotNone(outputs.attentions)







'''simple docstring'''







from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments






def 					_SCREAMING_SNAKE_CASE		(						):
	_lowercase							=     HfArgumentParser(snake_case_	)
	try:
		_lowercase							=     parser.parse_args_into_dataclasses()[0]
	except ValueError as e:
		_lowercase							=     """Arg --no_{0} is no longer used, please use --no-{0} instead."""
		_lowercase							=     """ """.join(str(snake_case_	).split(""" """	)[:-1]	)
		_lowercase							=     """"""
		_lowercase							=     eval(str(snake_case_	).split(""" """	)[-1]	)
		_lowercase							=     []
		for arg in depreciated_args:
			# arg[2:] removes '--'
			if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
				# arg[5:] removes '--no_'
				full_error_msg += arg_error_msg.format(arg[5:]	)
			else:
				wrong_args.append(snake_case_	)
		if len(snake_case_	) > 0:
			_lowercase							=     full_error_msg + begin_error_msg + str(snake_case_	)
		raise ValueError(snake_case_	)

	_lowercase							=     PyTorchBenchmark(args=snake_case_	)
	benchmark.run()


if __name__ == "__main__":
							main()




