

'''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


lowerCAmelCase__						:       str										=						logging.get_logger(__name__)

lowerCAmelCase__						:       Tuple										=						{
    """facebook/deit-base-distilled-patch16-224""": (
        """https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json"""
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}




class     a			(				SCREAMING_SNAKE_CASE       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    """deit"""







						def __init__(							self					:      Optional[Any]			,			snake_case_					:      int=7_6_8			,			snake_case_					:      Optional[int]=1_2			,			snake_case_					:      Union[str, Any]=1_2			,			snake_case_					:      Union[str, Any]=3_0_7_2			,			snake_case_					:      Optional[Any]="gelu"			,			snake_case_					:      Union[str, Any]=0.0			,			snake_case_					:      Any=0.0			,			snake_case_					:      List[str]=0.0_2			,			snake_case_					:      Dict=1e-12			,			snake_case_					:      Optional[int]=2_2_4			,			snake_case_					:      Tuple=1_6			,			snake_case_					:      Union[str, Any]=3			,			snake_case_					:      Dict=True			,			snake_case_					:      List[Any]=1_6			,			**snake_case_					:      Union[str, Any]			,			):



								'''simple docstring'''



								super().__init__(**snake_case_  )

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





class     a			(				SCREAMING_SNAKE_CASE       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    version.parse("""1.11"""       )







						@property
						def       __magic_name__							(							self					:      int  ):



								'''simple docstring'''



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







						@property
						def       __magic_name__							(							self					:      Union[str, Any]  ):



								'''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     a			(				SCREAMING_SNAKE_CASE			,			unittest.TestCase       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    FlaxAutoencoderKL







						@property
						def       __magic_name__							(							self					:      str  ):



								'''simple docstring'''



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

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

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







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



								'''simple docstring'''



								snake_case__						:       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,
								}
								snake_case__						:       Dict       						=  self.dummy_input
								return init_dict, inputs_dict



