

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


lowerCAmelCase__							=			logging.get_logger(__name__)

lowerCAmelCase__							=			{
    "facebook/regnet-y-040": "https://huggingface.co/facebook/regnet-y-040/blob/main/config.json",
}






class     __magic_name__     (							__UpperCamelCase     ):
 UpperCAmelCase				     =    """regnet"""
 UpperCAmelCase				     =    ["""x""", """y"""]


 def __init__(    self		:			Dict      ,    lowerCAmelCase__		:			int=3      ,    lowerCAmelCase__		:			Optional[Any]=3_2      ,    lowerCAmelCase__		:			Any=[1_2_8, 1_9_2, 5_1_2, 1_0_8_8]      ,    lowerCAmelCase__		:			int=[2, 6, 1_2, 2]      ,    lowerCAmelCase__		:			Union[str, Any]=6_4      ,    lowerCAmelCase__		:			int="y"      ,    lowerCAmelCase__		:			Any="relu"      ,    **lowerCAmelCase__		:			Any      ,    )     ->   Any:
   super().__init__(**a_     )
   if layer_type not in self.layer_types:
     raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types     )}"     )
   UpperCAmelCase          =	num_channels
   UpperCAmelCase          =	embedding_size
   UpperCAmelCase          =	hidden_sizes
   UpperCAmelCase          =	depths
   UpperCAmelCase          =	groups_width
   UpperCAmelCase          =	layer_type
   UpperCAmelCase          =	hidden_act
   # always downsample in the first stage
   UpperCAmelCase          =	True








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


__A       ={}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A       =["BarthezTokenizer"]

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A       =["BarthezTokenizerFast"]


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez import BarthezTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez_fast import BarthezTokenizerFast

else:
				import sys

				__A       =_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





