


"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase      		=			logging.get_logger(__name__)

UpperCAmelCase      		=			{
    'google/vit-base-patch16-224': 'https://huggingface.co/vit-base-patch16-224/resolve/main/config.json',
    # See all ViT models at https://huggingface.co/models?filter=vit
}
class 					__magic_name__		(			_A     ):
							__A			:      Optional[int]        =   "vit"






							def __init__(   self  :    Any  ,     snake_case__  :    Optional[Any]=7_6_8  ,     snake_case__  :    str=1_2  ,     snake_case__  :    List[str]=1_2  ,     snake_case__  :    Tuple=3_0_7_2  ,     snake_case__  :    Dict="gelu"  ,     snake_case__  :    Any=0.0  ,     snake_case__  :    List[Any]=0.0  ,     snake_case__  :    Any=0.02  ,     snake_case__  :    List[str]=1e-1_2  ,     snake_case__  :    Union[str, Any]=2_2_4  ,     snake_case__  :    Dict=1_6  ,     snake_case__  :    Dict=3  ,     snake_case__  :    str=True  ,     snake_case__  :    List[Any]=1_6  ,     **snake_case__  :    int  ,     ):

														'''simple docstring'''






														super().__init__(**UpperCamelCase__				)

														lowercase		:Dict       							=				hidden_size
														lowercase		:int       							=				num_hidden_layers
														lowercase		:int       							=				num_attention_heads
														lowercase		:List[str]       							=				intermediate_size
														lowercase		:Union[str, Any]       							=				hidden_act
														lowercase		:List[Any]       							=				hidden_dropout_prob
														lowercase		:int       							=				attention_probs_dropout_prob
														lowercase		:Optional[Any]       							=				initializer_range
														lowercase		:Optional[int]       							=				layer_norm_eps
														lowercase		:List[Any]       							=				image_size
														lowercase		:int       							=				patch_size
														lowercase		:int       							=				num_channels
														lowercase		:Union[str, Any]       							=				qkv_bias
														lowercase		:str       							=				encoder_stride







class 					__magic_name__		(			_A     ):
							__A			:      Union[str, Any]        =   version.parse("1.11"     )






							@property
							def  __snake_case						(   self  :    Dict				):

														'''simple docstring'''






														return OrderedDict(
														    [
														        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
														    ]				)







							@property
							def  __snake_case						(   self  :    Optional[int]				):

														'''simple docstring'''






														return 1e-4





"""simple docstring"""



import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
 import jax
@require_flax
class 					__magic_name__		(			__UpperCAmelCase			,						unittest.TestCase     ):
       __A			:      str        =   FlaxAutoencoderKL






       @property
       def  __snake_case						(   self  :    List[str]				):

              '''simple docstring'''






              lowercase		:Dict       							=				4
              lowercase		:Optional[int]       							=				3
              lowercase		:Any       							=				(3_2, 3_2)

              lowercase		:Optional[int]       							=				jax.random.PRNGKey(0				)
              lowercase		:Any       							=				jax.random.uniform(snake_case__  ,     ((batch_size, num_channels) + sizes)				)

              return {"sample": image, "prng_key": prng_key}







       def  __snake_case						(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				{
                  '''block_out_channels''': [3_2, 6_4],
                  '''in_channels''': 3,
                  '''out_channels''': 3,
                  '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
                  '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
                  '''latent_channels''': 4,
              }
              lowercase		:Optional[int]       							=				self.dummy_input
              return init_dict, inputs_dict

