



from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_	   =			logging.get_logger(__name__)

UpperCamelCase_	   =			{
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    'bert-large-uncased': 'https://huggingface.co/bert-large-uncased/resolve/main/config.json',
    'bert-base-cased': 'https://huggingface.co/bert-base-cased/resolve/main/config.json',
    'bert-large-cased': 'https://huggingface.co/bert-large-cased/resolve/main/config.json',
    'bert-base-multilingual-uncased': 'https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json',
    'bert-base-multilingual-cased': 'https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json',
    'bert-base-chinese': 'https://huggingface.co/bert-base-chinese/resolve/main/config.json',
    'bert-base-german-cased': 'https://huggingface.co/bert-base-german-cased/resolve/main/config.json',
    'bert-large-uncased-whole-word-masking': (
        'https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json'
    ),
    'bert-large-cased-whole-word-masking': (
        'https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json'
    ),
    'bert-large-uncased-whole-word-masking-finetuned-squad': (
        'https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json'
    ),
    'bert-large-cased-whole-word-masking-finetuned-squad': (
        'https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json'
    ),
    'bert-base-cased-finetuned-mrpc': 'https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json',
    'bert-base-german-dbmdz-cased': 'https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json',
    'bert-base-german-dbmdz-uncased': 'https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json',
    'cl-tohoku/bert-base-japanese': 'https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json',
    'cl-tohoku/bert-base-japanese-whole-word-masking': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json'
    ),
    'cl-tohoku/bert-base-japanese-char': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json'
    ),
    'cl-tohoku/bert-base-japanese-char-whole-word-masking': (
        'https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json'
    ),
    'TurkuNLP/bert-base-finnish-cased-v1': (
        'https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json'
    ),
    'TurkuNLP/bert-base-finnish-uncased-v1': (
        'https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json'
    ),
    'wietsedv/bert-base-dutch-cased': 'https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json',
    # See all BERT models at https://huggingface.co/models?filter=bert
}



class        _SCREAMING_SNAKE_CASE		(       _lowerCAmelCase ):
   a_							:      Optional[Any]						= "bert"





   def __init__(self    ,  UpperCAmelCase=3_0_5_2_2    ,  UpperCAmelCase=7_6_8    ,  UpperCAmelCase=1_2    ,  UpperCAmelCase=1_2    ,  UpperCAmelCase=3_0_7_2    ,  UpperCAmelCase="gelu"    ,  UpperCAmelCase=0.1    ,  UpperCAmelCase=0.1    ,  UpperCAmelCase=5_1_2    ,  UpperCAmelCase=2    ,  UpperCAmelCase=0.02    ,  UpperCAmelCase=1e-12    ,  UpperCAmelCase=0    ,  UpperCAmelCase="absolute"    ,  UpperCAmelCase=True    ,  UpperCAmelCase=None    ,  **UpperCAmelCase    ,  ):
       '''simple docstring'''







       super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__    ,  **SCREAMING_SNAKE_CASE__)

       __UpperCAmelCase			 =vocab_size
       __UpperCAmelCase			 =hidden_size
       __UpperCAmelCase			 =num_hidden_layers
       __UpperCAmelCase			 =num_attention_heads
       __UpperCAmelCase			 =hidden_act
       __UpperCAmelCase			 =intermediate_size
       __UpperCAmelCase			 =hidden_dropout_prob
       __UpperCAmelCase			 =attention_probs_dropout_prob
       __UpperCAmelCase			 =max_position_embeddings
       __UpperCAmelCase			 =type_vocab_size
       __UpperCAmelCase			 =initializer_range
       __UpperCAmelCase			 =layer_norm_eps
       __UpperCAmelCase			 =position_embedding_type
       __UpperCAmelCase			 =use_cache
       __UpperCAmelCase			 =classifier_dropout







class        _SCREAMING_SNAKE_CASE		(       _lowerCAmelCase ):





   @property
   def 	A__      (self):
       '''simple docstring'''







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





from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
 if not (is_transformers_available() and is_torch_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
 from .multicontrolnet import MultiControlNetModel
 from .pipeline_controlnet import StableDiffusionControlNetPipeline
 from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
 from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
 from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline


