





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       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:List[str]							=     DownBlockaD  # noqa F405
      _UpperCAmelCase			:Dict							=     'down'





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     [-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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Any							=     ResnetDownsampleBlockaD  # noqa F405
      _UpperCAmelCase			:Any							=     'down'





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Optional[int]							=     AttnDownBlockaD  # noqa F405
      _UpperCAmelCase			:Optional[int]							=     'down'





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      List[Any] 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:List[Any]							=     CrossAttnDownBlockaD  # noqa F405
      _UpperCAmelCase			:List[Any]							=     'down'





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Any 			=     super().prepare_init_args_and_inputs_for_common()
       UpperCamelCase			:      Optional[Any] 			=     32
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      int 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Dict							=     SimpleCrossAttnDownBlockaD  # noqa F405
      _UpperCAmelCase			:List[Any]							=     'down'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_encoder_hidden_states=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     super().prepare_init_args_and_inputs_for_common()
       UpperCamelCase			:      Union[str, Any] 			=     32
       return init_dict, inputs_dict





      @unittest.skipIf(torch_device == "mps" ,							"MPS result is not consistent"     )
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Any 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:List[Any]							=     SkipDownBlockaD  # noqa F405
      _UpperCAmelCase			:Dict							=     'down'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_skip_sample=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Tuple 			=     [-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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Dict							=     AttnSkipDownBlockaD  # noqa F405
      _UpperCAmelCase			:Any							=     'down'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_skip_sample=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      List[str] 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:List[str]							=     DownEncoderBlockaD  # noqa F405
      _UpperCAmelCase			:Optional[int]							=     'down'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_temb=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      List[str] 			=     {
           "in_channels": 32,
           "out_channels": 32,
       }
       UpperCamelCase			:      Union[str, Any] 			=     self.dummy_input
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:List[Any]							=     AttnDownEncoderBlockaD  # noqa F405
      _UpperCAmelCase			:Optional[int]							=     'down'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_temb=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[int] 			=     {
           "in_channels": 32,
           "out_channels": 32,
       }
       UpperCamelCase			:      Optional[int] 			=     self.dummy_input
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Tuple 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Union[str, Any]							=     UNetMidBlockaD  # noqa F405
      _UpperCAmelCase			:Optional[Any]							=     'mid'





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[int] 			=     {
           "in_channels": 32,
           "temb_channels": 128,
       }
       UpperCamelCase			:      List[Any] 			=     self.dummy_input
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     [-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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Optional[int]							=     UNetMidBlockaDCrossAttn  # noqa F405
      _UpperCAmelCase			:Optional[Any]							=     'mid'





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      str 			=     super().prepare_init_args_and_inputs_for_common()
       UpperCamelCase			:      Dict 			=     32
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:int							=     UNetMidBlockaDSimpleCrossAttn  # noqa F405
      _UpperCAmelCase			:Optional[Any]							=     'mid'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_encoder_hidden_states=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     super().prepare_init_args_and_inputs_for_common()
       UpperCamelCase			:      Tuple 			=     32
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[int] 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Union[str, Any]							=     UpBlockaD  # noqa F405
      _UpperCAmelCase			:Dict							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_res_hidden_states_tuple=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      str 			=     [-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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:str							=     ResnetUpsampleBlockaD  # noqa F405
      _UpperCAmelCase			:Tuple							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_res_hidden_states_tuple=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      List[str] 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Optional[int]							=     CrossAttnUpBlockaD  # noqa F405
      _UpperCAmelCase			:Dict							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_res_hidden_states_tuple=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     super().prepare_init_args_and_inputs_for_common()
       UpperCamelCase			:      int 			=     32
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      List[Any] 			=     [-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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:List[Any]							=     SimpleCrossAttnUpBlockaD  # noqa F405
      _UpperCAmelCase			:Optional[Any]							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_res_hidden_states_tuple=A_ ,							include_encoder_hidden_states=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      List[Any] 			=     super().prepare_init_args_and_inputs_for_common()
       UpperCamelCase			:      Optional[Any] 			=     32
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      str 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:List[Any]							=     AttnUpBlockaD  # noqa F405
      _UpperCAmelCase			:Any							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_res_hidden_states_tuple=A_     )





      @unittest.skipIf(torch_device == "mps" ,							"MPS result is not consistent"     )
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Any 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Optional[int]							=     SkipUpBlockaD  # noqa F405
      _UpperCAmelCase			:int							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_res_hidden_states_tuple=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     [-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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:int							=     AttnSkipUpBlockaD  # noqa F405
      _UpperCAmelCase			:Any							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_res_hidden_states_tuple=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      int 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Optional[Any]							=     UpDecoderBlockaD  # noqa F405
      _UpperCAmelCase			:str							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_temb=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     {"in_channels": 32, "out_channels": 32}

       UpperCamelCase			:      Any 			=     self.dummy_input
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[int] 			=     [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(A_     )



class       A__     ( __snake_case ,     unittest.TestCase    ):
      _UpperCAmelCase			:Union[str, Any]							=     AttnUpDecoderBlockaD  # noqa F405
      _UpperCAmelCase			:Union[str, Any]							=     'up'





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return super().get_dummy_input(include_temb=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     {"in_channels": 32, "out_channels": 32}

       UpperCamelCase			:      List[Any] 			=     self.dummy_input
       return init_dict, inputs_dict





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[int] 			=     [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(A_     )







import math

import tensorflow as tf
from packaging import version



def 	A_       (  _lowerCAmelCase  )		->				Any:
 UpperCamelCase			:      List[Any] 			=     tf.convert_to_tensor(_lowerCAmelCase  )
 UpperCamelCase			:      Any 			=     0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0  )							,     x.dtype  )  ))

 return x * cdf



def 	A_       (  _lowerCAmelCase  )		->				Dict:
 UpperCamelCase			:      Union[str, Any] 			=     tf.convert_to_tensor(_lowerCAmelCase  )
 UpperCamelCase			:      List[Any] 			=     tf.cast(math.pi							,     x.dtype  )
 UpperCamelCase			:      Optional[Any] 			=     tf.cast(0.044_715							,     x.dtype  )
 UpperCamelCase			:      int 			=     0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi  ) * (x + coeff * tf.pow(_lowerCAmelCase							,     3  ))  ))

 return x * cdf



def 	A_       (  _lowerCAmelCase  )		->				List[Any]:
 UpperCamelCase			:      str 			=     tf.convert_to_tensor(_lowerCAmelCase  )

 return x * tf.tanh(tf.math.softplus(_lowerCAmelCase  )  )



def 	A_       (  _lowerCAmelCase  )		->				List[Any]:
 UpperCamelCase			:      Tuple 			=     tf.convert_to_tensor(_lowerCAmelCase  )
 UpperCamelCase			:      List[Any] 			=     tf.cast(0.044_715							,     x.dtype  )
 UpperCamelCase			:      Optional[Any] 			=     tf.cast(0.7_978_845_608							,     x.dtype  )

 return 0.5 * x * (1.0 + tf.tanh(x * coeffa * (1.0 + coeffa * x * x)  ))



def 	A_       (  _lowerCAmelCase  )		->				Optional[Any]:
 UpperCamelCase			:      Any 			=     tf.convert_to_tensor(_lowerCAmelCase  )
 UpperCamelCase			:      List[Any] 			=     tf.cast(1.702							,     x.dtype  )
 return x * tf.math.sigmoid(coeff * x  )



def 	A_       (  _lowerCAmelCase  )		->				List[Any]:
 return tf.clip_by_value(_gelu(_lowerCAmelCase  )							,     -10							,     10  )



def 	A_       (  _lowerCAmelCase							,     _lowerCAmelCase=-1  )		->				str:
 UpperCamelCase			,					UpperCamelCase			:      List[Any] 			=     tf.split(_lowerCAmelCase							,     2							,     axis=_lowerCAmelCase  )
 return a * tf.math.sigmoid(_lowerCAmelCase  )


if version.parse(tf.version.VERSION) >= version.parse("""2.4"""):



    def 	A_       (  _lowerCAmelCase  )		->				Any:
     return tf.keras.activations.gelu(_lowerCAmelCase							,     approximate=_lowerCAmelCase  )

    __lowerCamelCase :  Optional[int]										=  tf.keras.activations.gelu


    __lowerCamelCase :  int										=  approximate_gelu_wrap
else:
    __lowerCamelCase :  List[Any]										=  _gelu
    __lowerCamelCase :  Optional[Any]										=  _gelu_new


__lowerCamelCase :  Any										=  {
    """gelu""": gelu,
    """gelu_10""": gelu_aa,
    """gelu_fast""": gelu_fast,
    """gelu_new""": gelu_new,
    """glu""": glu,
    """mish""": mish,
    """quick_gelu""": quick_gelu,
    """relu""": tf.keras.activations.relu,
    """sigmoid""": tf.keras.activations.sigmoid,
    """silu""": tf.keras.activations.swish,
    """swish""": tf.keras.activations.swish,
    """tanh""": tf.keras.activations.tanh,
}



def 	A_       (  _lowerCAmelCase  )		->				Optional[Any]:
 if activation_string in ACTaFN:
  return ACTaFN[activation_string]
 else:
  raise KeyError(F"""function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys()  )}"""  )
