


from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase__      		= logging.get_logger(__name__)

lowerCAmelCase__      		= {
    '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      lowerCAmelCase__       (				a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE  			= "roformer"


     def __init__(						self ,						__lowerCamelCase=5_0_0_0_0 ,						__lowerCamelCase=None ,						__lowerCamelCase=7_6_8 ,						__lowerCamelCase=1_2 ,						__lowerCamelCase=1_2 ,						__lowerCamelCase=3_0_7_2 ,						__lowerCamelCase="gelu" ,						__lowerCamelCase=0.1 ,						__lowerCamelCase=0.1 ,						__lowerCamelCase=1_5_3_6 ,						__lowerCamelCase=2 ,						__lowerCamelCase=0.0_2 ,						__lowerCamelCase=1e-12 ,						__lowerCamelCase=0 ,						__lowerCamelCase=False ,						__lowerCamelCase=True ,						**__lowerCamelCase ,						)			->				List[Any]:
            super().__init__(pad_token_id=__lowerCamelCase ,						**__lowerCamelCase)

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







class      lowerCAmelCase__       (				a):




     '''simple docstring'''


     @property
     def  _lowerCamelCase (						self)			->				Mapping[str, Mapping[int, str]]:
            if self.task == "multiple-choice":
                   _A      :       Union[str, Any]				    = {0: "batch", 1: "choice", 2: "sequence"}
            else:
                   _A      :       Optional[int]				    = {0: "batch", 1: "sequence"}
            _A      :       Tuple				    = {0: "batch", 1: "sequence"}
            return OrderedDict(
                [
                    ("input_ids", dynamic_axis),
                    ("attention_mask", dynamic_axis),
                    ("token_type_ids", dynamic_axis),
                ])




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


lowerCAmelCase__      		= {'configuration_speech_encoder_decoder': ['SpeechEncoderDecoderConfig']}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__      		= ['SpeechEncoderDecoderModel']

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__      		= ['FlaxSpeechEncoderDecoderModel']

if TYPE_CHECKING:
    from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
    import sys

    lowerCAmelCase__      		= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
