






'''simple docstring'''







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


__lowerCAmelCase									=   logging.get_logger(__name__)

__lowerCAmelCase									=   {
    'naver-clova-ix/donut-base': 'https://huggingface.co/naver-clova-ix/donut-base/resolve/main/config.json',
    # See all Donut models at https://huggingface.co/models?filter=donut-swin
}





class 						SCREAMING_SNAKE_CASE       (       SCREAMING_SNAKE_CASE_							):
			snake_case__	=					"donut-swin"

			snake_case__	=					{
			    "num_attention_heads": "num_heads",
			    "num_hidden_layers": "num_layers",
			}






			def __init__(			self   :      Any	,    __SCREAMING_SNAKE_CASE   :      List[str]=224	,    __SCREAMING_SNAKE_CASE   :      Optional[Any]=4	,    __SCREAMING_SNAKE_CASE   :      Dict=3	,    __SCREAMING_SNAKE_CASE   :      Optional[Any]=96	,    __SCREAMING_SNAKE_CASE   :      Optional[int]=[2, 2, 6, 2]	,    __SCREAMING_SNAKE_CASE   :      Optional[int]=[3, 6, 12, 24]	,    __SCREAMING_SNAKE_CASE   :      Tuple=7	,    __SCREAMING_SNAKE_CASE   :      Union[str, Any]=4.0	,    __SCREAMING_SNAKE_CASE   :      Any=True	,    __SCREAMING_SNAKE_CASE   :      Union[str, Any]=0.0	,    __SCREAMING_SNAKE_CASE   :      List[Any]=0.0	,    __SCREAMING_SNAKE_CASE   :      str=0.1	,    __SCREAMING_SNAKE_CASE   :      List[str]="gelu"	,    __SCREAMING_SNAKE_CASE   :      Union[str, Any]=False	,    __SCREAMING_SNAKE_CASE   :      str=0.02	,    __SCREAMING_SNAKE_CASE   :      List[Any]=1e-5	,    **__SCREAMING_SNAKE_CASE   :      str	,    )      ->      Optional[int]:
							super().__init__(**__SCREAMING_SNAKE_CASE       )

							a_		:	str									=   image_size
							a_		:	Optional[Any]									=   patch_size
							a_		:	List[str]									=   num_channels
							a_		:	Any									=   embed_dim
							a_		:	Optional[int]									=   depths
							a_		:	Any									=   len(__SCREAMING_SNAKE_CASE       )
							a_		:	Tuple									=   num_heads
							a_		:	Optional[Any]									=   window_size
							a_		:	Union[str, Any]									=   mlp_ratio
							a_		:	int									=   qkv_bias
							a_		:	Optional[int]									=   hidden_dropout_prob
							a_		:	Dict									=   attention_probs_dropout_prob
							a_		:	Union[str, Any]									=   drop_path_rate
							a_		:	Tuple									=   hidden_act
							a_		:	List[Any]									=   use_absolute_embeddings
							a_		:	Optional[int]									=   layer_norm_eps
							a_		:	Optional[int]									=   initializer_range
							# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
							# this indicates the channel dimension after the last stage of the model
							a_		:	List[str]									=   int(embed_dim * 2 ** (len(__SCREAMING_SNAKE_CASE       ) - 1)       )












'''simple docstring'''







import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
__lowerCAmelCase									=   object()

# For specifying empty leaf dict `{}`
__lowerCAmelCase									=   object()





def 		_UpperCAmelCase (				__A				: List[str]    ,		__A				: Tuple   ):
				a_		:	List[Any]									=   tuple((re.compile(x + '''$'''   ) for x in qs)   )
				for i in range(len(__A   ) - len(__A   ) + 1   ):
								a_		:	Union[str, Any]									=   [x.match(__A   ) for x, y in zip(__A    ,		ks[i:]   )]
								if matches and all(__A   ):
												return True
				return False





def 		_UpperCAmelCase (				__A				: List[str]   ):
				def replace(__A				: int    ,		__A				: Union[str, Any]   ):
								for rule, replacement in rules:
												if _match(__A    ,		__A   ):
																return replacement
								return val

				return replace





def 		_UpperCAmelCase (				):
				return [
				    # embeddings
				    (("transformer", "wpe", "embedding"), P('''mp'''    ,		__A   )),
				    (("transformer", "wte", "embedding"), P('''mp'''    ,		__A   )),
				    # atention
				    (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(__A    ,		'''mp'''   )),
				    (("attention", "out_proj", "kernel"), P('''mp'''    ,		__A   )),
				    (("attention", "out_proj", "bias"), None),
				    # mlp
				    (("mlp", "c_fc", "kernel"), P(__A    ,		'''mp'''   )),
				    (("mlp", "c_fc", "bias"), P('''mp'''   )),
				    (("mlp", "c_proj", "kernel"), P('''mp'''    ,		__A   )),
				    (("mlp", "c_proj", "bias"), None),
				    # layer norms
				    ((r"ln_\d+", "bias"), None),
				    ((r"\d+", r"ln_\d+", "scale"), None),
				    (("ln_f", "bias"), None),
				    (("ln_f", "scale"), None),
				]





def 		_UpperCAmelCase (				__A				: Union[str, Any]   ):
				a_		:	Tuple									=   _get_partition_rules()
				a_		:	Tuple									=   _replacement_rules(__A   )
				a_		:	Optional[Any]									=   {k: _unmatched for k in flatten_dict(__A   )}
				a_		:	Optional[Any]									=   {k: replace(__A    ,		__A   ) for k, v in initd.items()}
				assert _unmatched not in result.values(), "Incomplete partition spec."
				return freeze(unflatten_dict(__A   )   )




