'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase__  :						List[str]					=      logging.get_logger(__name__)

UpperCamelCase__  :						str					=      {
    'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json',
    'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json',
    'junnyu/roformer_chinese_char_small': (
        'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'
    ),
    'junnyu/roformer_chinese_char_base': (
        'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'
    ),
    'junnyu/roformer_small_discriminator': (
        'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'
    ),
    'junnyu/roformer_small_generator': (
        'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}


class 					_lowercase						(   lowerCAmelCase ):
      '''simple docstring'''


      UpperCAmelCase_   :   Tuple   				= '''roformer'''




      def __init__(					self       ,lowerCamelCase_=50000       ,lowerCamelCase_=None       ,lowerCamelCase_=768       ,lowerCamelCase_=12       ,lowerCamelCase_=12       ,lowerCamelCase_=3072       ,lowerCamelCase_="gelu"       ,lowerCamelCase_=0.1       ,lowerCamelCase_=0.1       ,lowerCamelCase_=1536       ,lowerCamelCase_=2       ,lowerCamelCase_=0.02       ,lowerCamelCase_=1e-12       ,lowerCamelCase_=0       ,lowerCamelCase_=False       ,lowerCamelCase_=True       ,**lowerCamelCase_       ,)      ->      Any:



         '''simple docstring'''



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

         UpperCAmelCase__				:					List[Any] 					=	vocab_size
         UpperCAmelCase__				:					List[Any] 					=	hidden_size if embedding_size is None else embedding_size
         UpperCAmelCase__				:					int 					=	hidden_size
         UpperCAmelCase__				:					List[str] 					=	num_hidden_layers
         UpperCAmelCase__				:					Tuple 					=	num_attention_heads
         UpperCAmelCase__				:					List[Any] 					=	hidden_act
         UpperCAmelCase__				:					str 					=	intermediate_size
         UpperCAmelCase__				:					List[str] 					=	hidden_dropout_prob
         UpperCAmelCase__				:					Any 					=	attention_probs_dropout_prob
         UpperCAmelCase__				:					Union[str, Any] 					=	max_position_embeddings
         UpperCAmelCase__				:					str 					=	type_vocab_size
         UpperCAmelCase__				:					Optional[int] 					=	initializer_range
         UpperCAmelCase__				:					List[Any] 					=	layer_norm_eps
         UpperCAmelCase__				:					str 					=	rotary_value
         UpperCAmelCase__				:					Dict 					=	use_cache




class 					_lowercase						(   lowerCAmelCase ):
      '''simple docstring'''


      @property
      def 		lowerCAmelCase__       (					self				)      ->      Mapping[str, Mapping[int, str]]:



         '''simple docstring'''



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





'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__  :						str					=      {
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__  :						str					=      [
      'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'GitForCausalLM',
      'GitModel',
      'GitPreTrainedModel',
      'GitVisionModel',
  ]

if TYPE_CHECKING:
  from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
  from .processing_git import GitProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_git import (
        GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        GitForCausalLM,
        GitModel,
        GitPreTrainedModel,
        GitVisionModel,
    )

else:
  import sys

  UpperCamelCase__  :						Tuple					=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




