


from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A							     =       logging.get_logger(__name__)

_A							     =       {
    "dandelin/vilt-b32-mlm": "https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"
}

class 			lowerCamelCase_					(    _UpperCamelCase    ):
							_lowerCamelCase				: Tuple       =					"""vilt"""





							def __init__(							self			,       _SCREAMING_SNAKE_CASE=3_0522			,       _SCREAMING_SNAKE_CASE=2			,       _SCREAMING_SNAKE_CASE=2			,       _SCREAMING_SNAKE_CASE=40			,       _SCREAMING_SNAKE_CASE=768			,       _SCREAMING_SNAKE_CASE=12			,       _SCREAMING_SNAKE_CASE=12			,       _SCREAMING_SNAKE_CASE=3072			,       _SCREAMING_SNAKE_CASE="gelu"			,       _SCREAMING_SNAKE_CASE=0.0			,       _SCREAMING_SNAKE_CASE=0.0			,       _SCREAMING_SNAKE_CASE=0.0_2			,       _SCREAMING_SNAKE_CASE=1E-12			,       _SCREAMING_SNAKE_CASE=384			,       _SCREAMING_SNAKE_CASE=32			,       _SCREAMING_SNAKE_CASE=3			,       _SCREAMING_SNAKE_CASE=True			,       _SCREAMING_SNAKE_CASE=-1			,       _SCREAMING_SNAKE_CASE=False			,       _SCREAMING_SNAKE_CASE=-1			,       **_SCREAMING_SNAKE_CASE			,       ):
								super().__init__(tie_word_embeddings=_SCREAMING_SNAKE_CASE			,       **_SCREAMING_SNAKE_CASE    )

								a_     			=   vocab_size
								a_     			=   type_vocab_size
								a_     			=   modality_type_vocab_size
								a_     			=   max_position_embeddings

								a_     			=   hidden_size
								a_     			=   num_hidden_layers
								a_     			=   num_attention_heads
								a_     			=   intermediate_size
								a_     			=   hidden_act
								a_     			=   hidden_dropout_prob
								a_     			=   attention_probs_dropout_prob
								a_     			=   initializer_range
								a_     			=   layer_norm_eps

								a_     			=   image_size
								a_     			=   patch_size
								a_     			=   num_channels
								a_     			=   qkv_bias
								a_     			=   max_image_length
								a_     			=   num_images







"""simple docstring"""



import inspect

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


if is_flax_available():
						import jax




@require_flax
class 							__lowercase:






						def 		lowerCAmelCase (       self)      ->	str:




											"""simple docstring"""





											lowerCamelCase__					,  lowerCamelCase__					=self.prepare_init_args_and_inputs_for_common()

											lowerCamelCase__					=self.model_class(**_SCREAMING_SNAKE_CASE)
											lowerCamelCase__					=model.init(inputs_dict['prng_key']     ,    inputs_dict['sample'])
											jax.lax.stop_gradient(_SCREAMING_SNAKE_CASE)

											lowerCamelCase__					=model.apply(_SCREAMING_SNAKE_CASE     ,    inputs_dict['sample'])

											if isinstance(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE):
																lowerCamelCase__					=output.sample

											self.assertIsNotNone(_SCREAMING_SNAKE_CASE)
											lowerCamelCase__					=inputs_dict['sample'].shape
											self.assertEqual(output.shape     ,    _SCREAMING_SNAKE_CASE     ,    'Input and output shapes do not match')






						def 		lowerCAmelCase (       self)      ->	Optional[Any]:




											"""simple docstring"""





											lowerCamelCase__					,  lowerCamelCase__					=self.prepare_init_args_and_inputs_for_common()

											lowerCamelCase__					=16
											lowerCamelCase__					=(16, 32)

											lowerCamelCase__					=self.model_class(**_SCREAMING_SNAKE_CASE)
											lowerCamelCase__					=model.init(inputs_dict['prng_key']     ,    inputs_dict['sample'])
											jax.lax.stop_gradient(_SCREAMING_SNAKE_CASE)

											lowerCamelCase__					=model.apply(_SCREAMING_SNAKE_CASE     ,    inputs_dict['sample'])

											if isinstance(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE):
																lowerCamelCase__					=output.sample

											self.assertIsNotNone(_SCREAMING_SNAKE_CASE)
											lowerCamelCase__					=inputs_dict['sample'].shape
											self.assertEqual(output.shape     ,    _SCREAMING_SNAKE_CASE     ,    'Input and output shapes do not match')






						def 		lowerCAmelCase (       self)      ->	Optional[Any]:




											"""simple docstring"""





											lowerCamelCase__					='kwargs' in inspect.signature(self.model_class.__init__).parameters
											lowerCamelCase__					=len(self.model_class._deprecated_kwargs) > 0

											if has_kwarg_in_model_class and not has_deprecated_kwarg:
																raise ValueError(
																    F"{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs"
																    ' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'
																    ' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='
																    ' [<deprecated_argument>]`')

											if not has_kwarg_in_model_class and has_deprecated_kwarg:
																raise ValueError(
																    F"{self.model_class} doesn't have `**kwargs` in its __init__ method but has defined deprecated kwargs"
																    ' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'
																    F" {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument"
																    ' from `_deprecated_kwargs = [<deprecated_argument>]`')