



from collections import OrderedDict
from typing import Mapping

from packaging import version

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


UpperCAmelCase_          =				logging.get_logger(__name__)

UpperCAmelCase_          =				{
    "apple/mobilevit-small": "https://huggingface.co/apple/mobilevit-small/resolve/main/config.json",
    "apple/mobilevit-x-small": "https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json",
    "apple/mobilevit-xx-small": "https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json",
    "apple/deeplabv3-mobilevit-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-x-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-xx-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}





class 		UpperCAmelCase    (    snake_case_					):
   SCREAMING_SNAKE_CASE__					      =  '''mobilevit'''





   def __init__(						self							,  _lowerCAmelCase=3							,  _lowerCAmelCase=256							,  _lowerCAmelCase=2							,  _lowerCAmelCase=[144, 192, 240]							,  _lowerCAmelCase=[16, 32, 64, 96, 128, 160, 640]							,  _lowerCAmelCase=4							,  _lowerCAmelCase=2.0							,  _lowerCAmelCase=4.0							,  _lowerCAmelCase="silu"							,  _lowerCAmelCase=3							,  _lowerCAmelCase=32							,  _lowerCAmelCase=0.1							,  _lowerCAmelCase=0.0							,  _lowerCAmelCase=0.1							,  _lowerCAmelCase=0.02							,  _lowerCAmelCase=1E-5							,  _lowerCAmelCase=True							,  _lowerCAmelCase=256							,  _lowerCAmelCase=[6, 12, 18]							,  _lowerCAmelCase=0.1							,  _lowerCAmelCase=255							,  **_lowerCAmelCase							,  ):
         super().__init__(**_lowerCAmelCase      )

         _lowerCAmelCase			      =	num_channels
         _lowerCAmelCase			      =	image_size
         _lowerCAmelCase			      =	patch_size
         _lowerCAmelCase			      =	hidden_sizes
         _lowerCAmelCase			      =	neck_hidden_sizes
         _lowerCAmelCase			      =	num_attention_heads
         _lowerCAmelCase			      =	mlp_ratio
         _lowerCAmelCase			      =	expand_ratio
         _lowerCAmelCase			      =	hidden_act
         _lowerCAmelCase			      =	conv_kernel_size
         _lowerCAmelCase			      =	output_stride
         _lowerCAmelCase			      =	hidden_dropout_prob
         _lowerCAmelCase			      =	attention_probs_dropout_prob
         _lowerCAmelCase			      =	classifier_dropout_prob
         _lowerCAmelCase			      =	initializer_range
         _lowerCAmelCase			      =	layer_norm_eps
         _lowerCAmelCase			      =	qkv_bias

         # decode head attributes for semantic segmentation
         _lowerCAmelCase			      =	aspp_out_channels
         _lowerCAmelCase			      =	atrous_rates
         _lowerCAmelCase			      =	aspp_dropout_prob
         _lowerCAmelCase			      =	semantic_loss_ignore_index






class 		UpperCAmelCase    (    snake_case_					):
   SCREAMING_SNAKE_CASE__					      =  version.parse('''1.11'''					)





   @property
   def 						__lowerCAmelCase				(						self      ):
         return OrderedDict([('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''})]      )





   @property
   def 						__lowerCAmelCase				(						self      ):
         if self.task == "image-classification":
               return OrderedDict([('''logits''', {0: '''batch'''})]      )
         else:
               return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]      )





   @property
   def 						__lowerCAmelCase				(						self      ):
         return 1E-4




from typing import List, Union

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


UpperCAmelCase_          =				logging.get_logger(__name__)

UpperCAmelCase_          =				{
    "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/config.json",
    # See all LED models at https://huggingface.co/models?filter=led
}





class 		UpperCAmelCase    (    snake_case_					):
   SCREAMING_SNAKE_CASE__					      =  '''led'''
   SCREAMING_SNAKE_CASE__					      =  {
       '''num_attention_heads''': '''encoder_attention_heads''',
       '''hidden_size''': '''d_model''',
       '''attention_probs_dropout_prob''': '''attention_dropout''',
       '''initializer_range''': '''init_std''',
   }





   def __init__(						self							,  _lowerCAmelCase=50_265							,  _lowerCAmelCase=16_384							,  _lowerCAmelCase=1_024							,  _lowerCAmelCase=12							,  _lowerCAmelCase=4_096							,  _lowerCAmelCase=16							,  _lowerCAmelCase=12							,  _lowerCAmelCase=4_096							,  _lowerCAmelCase=16							,  _lowerCAmelCase=0.0							,  _lowerCAmelCase=0.0							,  _lowerCAmelCase=True							,  _lowerCAmelCase=True							,  _lowerCAmelCase="gelu"							,  _lowerCAmelCase=1_024							,  _lowerCAmelCase=0.1							,  _lowerCAmelCase=0.0							,  _lowerCAmelCase=0.0							,  _lowerCAmelCase=0.02							,  _lowerCAmelCase=2							,  _lowerCAmelCase=0.0							,  _lowerCAmelCase=1							,  _lowerCAmelCase=0							,  _lowerCAmelCase=2							,  _lowerCAmelCase = 512							,  **_lowerCAmelCase							,  ):
         _lowerCAmelCase			      =	vocab_size
         _lowerCAmelCase			      =	max_encoder_position_embeddings
         _lowerCAmelCase			      =	max_decoder_position_embeddings
         _lowerCAmelCase			      =	d_model
         _lowerCAmelCase			      =	encoder_ffn_dim
         _lowerCAmelCase			      =	encoder_layers
         _lowerCAmelCase			      =	encoder_attention_heads
         _lowerCAmelCase			      =	decoder_ffn_dim
         _lowerCAmelCase			      =	decoder_layers
         _lowerCAmelCase			      =	decoder_attention_heads
         _lowerCAmelCase			      =	dropout
         _lowerCAmelCase			      =	attention_dropout
         _lowerCAmelCase			      =	activation_dropout
         _lowerCAmelCase			      =	activation_function
         _lowerCAmelCase			      =	init_std
         _lowerCAmelCase			      =	encoder_layerdrop
         _lowerCAmelCase			      =	decoder_layerdrop
         _lowerCAmelCase			      =	classifier_dropout
         _lowerCAmelCase			      =	use_cache
         _lowerCAmelCase			      =	encoder_layers
         _lowerCAmelCase			      =	attention_window

         super().__init__(
             pad_token_id=_lowerCAmelCase							,  bos_token_id=_lowerCAmelCase							,  eos_token_id=_lowerCAmelCase							,  is_encoder_decoder=_lowerCAmelCase							,  decoder_start_token_id=_lowerCAmelCase							,  **_lowerCAmelCase							,  )