





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a						=   logging.get_logger(__name__)

_a						=   {
    "facebook/xmod-base": "https://huggingface.co/facebook/xmod-base/resolve/main/config.json",
    "facebook/xmod-large-prenorm": "https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json",
    "facebook/xmod-base-13-125k": "https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json",
    "facebook/xmod-base-30-125k": "https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json",
    "facebook/xmod-base-30-195k": "https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json",
    "facebook/xmod-base-60-125k": "https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json",
    "facebook/xmod-base-60-265k": "https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json",
    "facebook/xmod-base-75-125k": "https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json",
    "facebook/xmod-base-75-269k": "https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json",
}






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		"""xmod"""





			def __init__(					self ,						__lowerCAmelCase=3_0_5_2_2 ,						__lowerCAmelCase=7_6_8 ,						__lowerCAmelCase=1_2 ,						__lowerCAmelCase=1_2 ,						__lowerCAmelCase=3_0_7_2 ,						__lowerCAmelCase="gelu" ,						__lowerCAmelCase=0.1 ,						__lowerCAmelCase=0.1 ,						__lowerCAmelCase=5_1_2 ,						__lowerCAmelCase=2 ,						__lowerCAmelCase=0.02 ,						__lowerCAmelCase=1E-12 ,						__lowerCAmelCase=1 ,						__lowerCAmelCase=0 ,						__lowerCAmelCase=2 ,						__lowerCAmelCase="absolute" ,						__lowerCAmelCase=True ,						__lowerCAmelCase=None ,						__lowerCAmelCase=False ,						__lowerCAmelCase=2 ,						__lowerCAmelCase=False ,						__lowerCAmelCase=True ,						__lowerCAmelCase=True ,						__lowerCAmelCase=("en_XX",) ,						__lowerCAmelCase=None ,						**__lowerCAmelCase ,						):



				'''simple docstring'''







				super().__init__(pad_token_id=__lowerCAmelCase ,						bos_token_id=__lowerCAmelCase ,						eos_token_id=__lowerCAmelCase ,						**__lowerCAmelCase							)

				lowerCamelCase__              =	vocab_size
				lowerCamelCase__              =	hidden_size
				lowerCamelCase__              =	num_hidden_layers
				lowerCamelCase__              =	num_attention_heads
				lowerCamelCase__              =	hidden_act
				lowerCamelCase__              =	intermediate_size
				lowerCamelCase__              =	hidden_dropout_prob
				lowerCamelCase__              =	attention_probs_dropout_prob
				lowerCamelCase__              =	max_position_embeddings
				lowerCamelCase__              =	type_vocab_size
				lowerCamelCase__              =	initializer_range
				lowerCamelCase__              =	layer_norm_eps
				lowerCamelCase__              =	position_embedding_type
				lowerCamelCase__              =	use_cache
				lowerCamelCase__              =	classifier_dropout
				lowerCamelCase__              =	pre_norm
				lowerCamelCase__              =	adapter_reduction_factor
				lowerCamelCase__              =	adapter_layer_norm
				lowerCamelCase__              =	adapter_reuse_layer_norm
				lowerCamelCase__              =	ln_before_adapter
				lowerCamelCase__              =	list(__lowerCAmelCase							)
				lowerCamelCase__              =	default_language






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			@property
			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				if self.task == "multiple-choice":
					lowerCamelCase__              =	{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
				else:
					lowerCamelCase__              =	{0: '''batch''', 1: '''sequence'''}
				return OrderedDict(
				    [
				        ('''input_ids''', dynamic_axis),
				        ('''attention_mask''', dynamic_axis),
				    ]							)










import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_a						=   logging.get_logger(__name__)






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			def __init__(					self ,						*__lowerCAmelCase ,						**__lowerCAmelCase							):



				'''simple docstring'''







				warnings.warn(
				    '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
				    ''' Please use SegformerImageProcessor instead.''' ,						__lowerCAmelCase ,						)
				super().__init__(*__lowerCAmelCase ,						**__lowerCAmelCase							)



