






'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=						{
    'google/bit-50': 'https://huggingface.co/google/bit-50/resolve/main/config.json',
}
class UpperCAmelCase_       (     __A					,							__A					):




      """simple docstring"""




      UpperCamelCase_             =      '''bit'''
      UpperCamelCase_             =      ['''preactivation''', '''bottleneck''']
      UpperCamelCase_             =      ['''SAME''', '''VALID''']






      def __init__(			self      :		Any  ,   UpperCAmelCase      :		Optional[int]=3  ,   UpperCAmelCase      :		Any=64  ,   UpperCAmelCase      :		List[str]=[256, 512, 1024, 2048]  ,   UpperCAmelCase      :		Dict=[3, 4, 6, 3]  ,   UpperCAmelCase      :		List[Any]="preactivation"  ,   UpperCAmelCase      :		Tuple="relu"  ,   UpperCAmelCase      :		Tuple=None  ,   UpperCAmelCase      :		Tuple=32  ,   UpperCAmelCase      :		Optional[int]=0.0  ,   UpperCAmelCase      :		Union[str, Any]=False  ,   UpperCAmelCase      :		Dict=32  ,   UpperCAmelCase      :		Any=1  ,   UpperCAmelCase      :		str=None  ,   UpperCAmelCase      :		Union[str, Any]=None  ,   **UpperCAmelCase      :		str  ,   )	->	Dict:


       '''simple docstring'''

       super().__init__(**UpperCAmelCase		)
       if layer_type not in self.layer_types:
        raise ValueError(f'layer_type={layer_type} is not one of {",".join(self.layer_types		)}'		)
       if global_padding is not None:
        if global_padding.upper() in self.supported_padding:
         lowercase       : Any						=global_padding.upper()
        else:
         raise ValueError(f'Padding strategy {global_padding} not supported'		)
       lowercase       : List[Any]						=num_channels
       lowercase       : List[str]						=embedding_size
       lowercase       : Union[str, Any]						=hidden_sizes
       lowercase       : Union[str, Any]						=depths
       lowercase       : Optional[int]						=layer_type
       lowercase       : Optional[Any]						=hidden_act
       lowercase       : List[str]						=global_padding
       lowercase       : Dict						=num_groups
       lowercase       : Optional[Any]						=drop_path_rate
       lowercase       : Union[str, Any]						=embedding_dynamic_padding
       lowercase       : Any						=output_stride
       lowercase       : Union[str, Any]						=width_factor

       lowercase       : Union[str, Any]						=['''stem'''] + [f'stage{idx}' for idx in range(1  ,   len(UpperCAmelCase		) + 1		)]
       lowercase	,		lowercase       : List[str]						=get_aligned_output_features_output_indices(
           out_features=UpperCAmelCase  ,   out_indices=UpperCAmelCase  ,   stage_names=self.stage_names		)











'''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   )   )




