
import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin
class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Optional[Any]         =	DownBlockaD  # noqa F405
	a			:Any         =	'down'
	def 						_lowercase  (       self  :			Dict       )       ->     str:
					lowercase_       =					[-0.02_32, -0.98_69, 0.80_54, -0.06_37, -0.16_88, -1.42_64, 0.44_70, -1.33_94, 0.09_04]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:int         =	ResnetDownsampleBlockaD  # noqa F405
	a			:Dict         =	'down'
	def 						_lowercase  (       self  :			Dict       )       ->     int:
					lowercase_       =					[0.07_10, 0.24_10, -0.73_20, -1.07_57, -1.13_43, 0.35_40, -0.01_33, -0.25_76, 0.09_48]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:int         =	AttnDownBlockaD  # noqa F405
	a			:Tuple         =	'down'
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     Optional[Any]:
					lowercase_       =					[0.06_36, 0.89_64, -0.62_34, -1.01_31, 0.08_44, 0.49_35, 0.34_37, 0.09_11, -0.29_57]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:str         =	CrossAttnDownBlockaD  # noqa F405
	a			:str         =	'down'
	def 						_lowercase  (       self  :			List[Any]       )       ->     Optional[Any]:
					lowercase_  ,	lowercase_       =					super().prepare_init_args_and_inputs_for_common()
					lowercase_       =					3_2
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			List[Any]       )       ->     Dict:
					lowercase_       =					[0.22_38, -0.73_96, -0.22_55, -0.38_29, 0.19_25, 1.16_65, 0.06_03, -0.72_95, 0.19_83]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:List[str]         =	SimpleCrossAttnDownBlockaD  # noqa F405
	a			:List[Any]         =	'down'
	@property
	def 						_lowercase  (       self  :			Tuple       )       ->     Dict:
					return super().get_dummy_input(include_encoder_hidden_states=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     List[Any]:
					lowercase_  ,	lowercase_       =					super().prepare_init_args_and_inputs_for_common()
					lowercase_       =					3_2
					return init_dict, inputs_dict




	@unittest.skipIf(torch_device == '''mps'''       ,							'''MPS result is not consistent'''       )
	def 						_lowercase  (       self  :			Union[str, Any]       )       ->     Union[str, Any]:
					lowercase_       =					[0.79_21, -0.09_92, -0.19_62, -0.76_95, -0.42_42, 0.78_04, 0.47_37, 0.27_65, 0.33_38]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Dict         =	SkipDownBlockaD  # noqa F405
	a			:str         =	'down'
	@property
	def 						_lowercase  (       self  :			int       )       ->     Optional[int]:
					return super().get_dummy_input(include_skip_sample=SCREAMING_SNAKE_CASE_       )




	def 						_lowercase  (       self  :			Optional[int]       )       ->     List[str]:
					lowercase_       =					[-0.08_45, -0.20_87, -0.24_65, 0.09_71, 0.19_00, -0.04_84, 0.26_64, 0.41_79, 0.50_69]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Optional[Any]         =	AttnSkipDownBlockaD  # noqa F405
	a			:Optional[Any]         =	'down'
	@property
	def 						_lowercase  (       self  :			Optional[int]       )       ->     List[str]:
					return super().get_dummy_input(include_skip_sample=SCREAMING_SNAKE_CASE_       )




	def 						_lowercase  (       self  :			Any       )       ->     Dict:
					lowercase_       =					[0.55_39, 0.16_09, 0.49_24, 0.05_37, -0.19_95, 0.40_50, 0.09_79, -0.27_21, -0.06_42]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Dict         =	DownEncoderBlockaD  # noqa F405
	a			:Tuple         =	'down'
	@property
	def 						_lowercase  (       self  :			List[Any]       )       ->     Optional[int]:
					return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			str       )       ->     Dict:
					lowercase_       =					{
					    '''in_channels''': 3_2,
					    '''out_channels''': 3_2,
					}
					lowercase_       =					self.dummy_input
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			List[Any]       )       ->     Tuple:
					lowercase_       =					[1.11_02, 0.53_02, 0.48_72, -0.00_23, -0.80_42, 0.04_83, -0.34_89, -0.56_32, 0.76_26]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Optional[int]         =	AttnDownEncoderBlockaD  # noqa F405
	a			:Optional[Any]         =	'down'
	@property
	def 						_lowercase  (       self  :			List[str]       )       ->     Dict:
					return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			List[str]       )       ->     List[Any]:
					lowercase_       =					{
					    '''in_channels''': 3_2,
					    '''out_channels''': 3_2,
					}
					lowercase_       =					self.dummy_input
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			str       )       ->     Any:
					lowercase_       =					[0.89_66, -0.14_86, 0.85_68, 0.81_41, -0.90_46, -0.13_42, -0.09_72, -0.74_17, 0.15_38]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Dict         =	UNetMidBlockaD  # noqa F405
	a			:str         =	'mid'
	def 						_lowercase  (       self  :			Any       )       ->     int:
					lowercase_       =					{
					    '''in_channels''': 3_2,
					    '''temb_channels''': 1_2_8,
					}
					lowercase_       =					self.dummy_input
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			Optional[Any]       )       ->     Any:
					lowercase_       =					[-0.10_62, 1.72_48, 0.34_94, 1.45_69, -0.09_10, -1.24_21, -0.99_84, 0.67_36, 1.00_28]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:List[Any]         =	UNetMidBlockaDCrossAttn  # noqa F405
	a			:str         =	'mid'
	def 						_lowercase  (       self  :			List[Any]       )       ->     List[Any]:
					lowercase_  ,	lowercase_       =					super().prepare_init_args_and_inputs_for_common()
					lowercase_       =					3_2
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			Any       )       ->     str:
					lowercase_       =					[0.01_87, 2.42_20, 0.44_84, 1.12_03, -0.61_21, -1.51_22, -0.82_70, 0.78_51, 1.83_35]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:str         =	UNetMidBlockaDSimpleCrossAttn  # noqa F405
	a			:List[str]         =	'mid'
	@property
	def 						_lowercase  (       self  :			Any       )       ->     int:
					return super().get_dummy_input(include_encoder_hidden_states=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     List[Any]:
					lowercase_  ,	lowercase_       =					super().prepare_init_args_and_inputs_for_common()
					lowercase_       =					3_2
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			Tuple       )       ->     int:
					lowercase_       =					[0.71_43, 1.99_74, 0.54_48, 1.39_77, 0.12_82, -1.12_37, -1.42_38, 0.55_30, 0.88_80]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:str         =	UpBlockaD  # noqa F405
	a			:Optional[int]         =	'up'
	@property
	def 						_lowercase  (       self  :			List[str]       )       ->     Dict:
					return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       )




	def 						_lowercase  (       self  :			Optional[Any]       )       ->     List[Any]:
					lowercase_       =					[-0.20_41, -0.41_65, -0.30_22, 0.00_41, -0.66_28, -0.70_53, 0.19_28, -0.03_25, 0.05_23]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Optional[Any]         =	ResnetUpsampleBlockaD  # noqa F405
	a			:Tuple         =	'up'
	@property
	def 						_lowercase  (       self  :			int       )       ->     Dict:
					return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       )




	def 						_lowercase  (       self  :			int       )       ->     Optional[Any]:
					lowercase_       =					[0.22_87, 0.35_49, -0.13_46, 0.47_97, -0.17_15, -0.96_49, 0.73_05, -0.58_64, -0.62_44]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Any         =	CrossAttnUpBlockaD  # noqa F405
	a			:Optional[Any]         =	'up'
	@property
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     Optional[int]:
					return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			List[str]       )       ->     Optional[Any]:
					lowercase_  ,	lowercase_       =					super().prepare_init_args_and_inputs_for_common()
					lowercase_       =					3_2
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			Optional[Any]       )       ->     Optional[int]:
					lowercase_       =					[-0.14_03, -0.35_15, -0.04_20, -0.14_25, 0.31_67, 0.50_94, -0.21_81, 0.59_31, 0.55_82]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Union[str, Any]         =	SimpleCrossAttnUpBlockaD  # noqa F405
	a			:List[str]         =	'up'
	@property
	def 						_lowercase  (       self  :			Tuple       )       ->     List[str]:
					return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       ,							include_encoder_hidden_states=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			str       )       ->     List[str]:
					lowercase_  ,	lowercase_       =					super().prepare_init_args_and_inputs_for_common()
					lowercase_       =					3_2
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			Dict       )       ->     Any:
					lowercase_       =					[0.26_45, 0.14_80, 0.09_09, 0.80_44, -0.97_58, -0.90_83, 0.09_94, -1.14_53, -0.74_02]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Optional[int]         =	AttnUpBlockaD  # noqa F405
	a			:Tuple         =	'up'
	@property
	def 						_lowercase  (       self  :			Any       )       ->     str:
					return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       )




	@unittest.skipIf(torch_device == '''mps'''       ,							'''MPS result is not consistent'''       )
	def 						_lowercase  (       self  :			Any       )       ->     Union[str, Any]:
					lowercase_       =					[0.09_79, 0.13_26, 0.00_21, 0.06_59, 0.22_49, 0.00_59, 0.11_32, 0.59_52, 0.10_33]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Optional[int]         =	SkipUpBlockaD  # noqa F405
	a			:Tuple         =	'up'
	@property
	def 						_lowercase  (       self  :			Tuple       )       ->     Any:
					return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       )




	def 						_lowercase  (       self  :			str       )       ->     Optional[int]:
					lowercase_       =					[-0.08_93, -0.12_34, -0.15_06, -0.03_32, 0.01_23, -0.02_11, 0.05_66, 0.01_43, 0.03_62]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Union[str, Any]         =	AttnSkipUpBlockaD  # noqa F405
	a			:List[Any]         =	'up'
	@property
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     Tuple:
					return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_       )




	def 						_lowercase  (       self  :			Any       )       ->     List[str]:
					lowercase_       =					[0.03_61, 0.06_17, 0.27_87, -0.03_50, 0.03_42, 0.34_21, -0.08_43, 0.09_13, 0.30_15]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:Any         =	UpDecoderBlockaD  # noqa F405
	a			:Optional[Any]         =	'up'
	@property
	def 						_lowercase  (       self  :			Dict       )       ->     Union[str, Any]:
					return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			str       )       ->     Tuple:
					lowercase_       =					{'''in_channels''': 3_2, '''out_channels''': 3_2}

					lowercase_       =					self.dummy_input
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			int       )       ->     Tuple:
					lowercase_       =					[0.44_04, 0.19_98, -0.98_86, -0.33_20, -0.31_28, -0.70_34, -0.69_55, -0.23_38, -0.31_37]
					super().test_output(SCREAMING_SNAKE_CASE_       )

class  lowercase__(				UpperCAmelCase ,						unittest.TestCase							):



	"""simple docstring"""




	a			:List[Any]         =	AttnUpDecoderBlockaD  # noqa F405
	a			:List[str]         =	'up'
	@property
	def 						_lowercase  (       self  :			Union[str, Any]       )       ->     Optional[int]:
					return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			Optional[int]       )       ->     str:
					lowercase_       =					{'''in_channels''': 3_2, '''out_channels''': 3_2}

					lowercase_       =					self.dummy_input
					return init_dict, inputs_dict




	def 						_lowercase  (       self  :			Union[str, Any]       )       ->     Optional[Any]:
					lowercase_       =					[0.67_38, 0.44_91, 0.10_55, 1.07_10, 0.73_16, 0.33_39, 0.33_52, 0.10_23, 0.35_68]
					super().test_output(SCREAMING_SNAKE_CASE_       )






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__a  			=					{
    'configuration_rembert': ['REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RemBertConfig', 'RemBertOnnxConfig']
}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a  			=					['RemBertTokenizer']

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a  			=					['RemBertTokenizerFast']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a  			=					[
						    'REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'RemBertForCausalLM',
						    'RemBertForMaskedLM',
						    'RemBertForMultipleChoice',
						    'RemBertForQuestionAnswering',
						    'RemBertForSequenceClassification',
						    'RemBertForTokenClassification',
						    'RemBertLayer',
						    'RemBertModel',
						    'RemBertPreTrainedModel',
						    'load_tf_weights_in_rembert',
						]


try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a  			=					[
						    'TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFRemBertForCausalLM',
						    'TFRemBertForMaskedLM',
						    'TFRemBertForMultipleChoice',
						    'TFRemBertForQuestionAnswering',
						    'TFRemBertForSequenceClassification',
						    'TFRemBertForTokenClassification',
						    'TFRemBertLayer',
						    'TFRemBertModel',
						    'TFRemBertPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_rembert import REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RemBertConfig, RemBertOnnxConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_rembert import RemBertTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_rembert_fast import RemBertTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_rembert import (
												    REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    RemBertForCausalLM,
												    RemBertForMaskedLM,
												    RemBertForMultipleChoice,
												    RemBertForQuestionAnswering,
												    RemBertForSequenceClassification,
												    RemBertForTokenClassification,
												    RemBertLayer,
												    RemBertModel,
												    RemBertPreTrainedModel,
												    load_tf_weights_in_rembert,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_rembert import (
												    TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFRemBertForCausalLM,
												    TFRemBertForMaskedLM,
												    TFRemBertForMultipleChoice,
												    TFRemBertForQuestionAnswering,
												    TFRemBertForSequenceClassification,
												    TFRemBertForTokenClassification,
												    TFRemBertLayer,
												    TFRemBertModel,
												    TFRemBertPreTrainedModel,
												)


else:
						import sys

						__a  			=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




