




'''simple docstring'''






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


lowercase	:      Any				=       logging.get_logger(__name__)

lowercase	:      str				=       {
    '''uw-madison/nystromformer-512''': '''https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json''',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}

class   SCREAMING_SNAKE_CASE_		(       lowerCamelCase_				):
 __snake_case	:     int			   =      "nystromformer"



 def __init__(  self   ,		A=30000   ,		A=768   ,		A=12   ,		A=12   ,		A=3072   ,		A="gelu_new"   ,		A=0.1   ,		A=0.1   ,		A=510   ,		A=2   ,		A=64   ,		A=64   ,		A=65   ,		A=False   ,		A=0.0_2   ,		A=1E-5   ,		A=1   ,		A=0   ,		A=2   ,		**A   ,		):






        '''simple docstring'''




        lowercase  :		Tuple						=      vocab_size
        lowercase  :		str						=      max_position_embeddings
        lowercase  :		str						=      hidden_size
        lowercase  :		List[Any]						=      num_hidden_layers
        lowercase  :		Union[str, Any]						=      num_attention_heads
        lowercase  :		List[str]						=      intermediate_size
        lowercase  :		Optional[Any]						=      hidden_act
        lowercase  :		Any						=      hidden_dropout_prob
        lowercase  :		Optional[int]						=      attention_probs_dropout_prob
        lowercase  :		Dict						=      initializer_range
        lowercase  :		List[str]						=      type_vocab_size
        lowercase  :		Optional[int]						=      segment_means_seq_len
        lowercase  :		Any						=      num_landmarks
        lowercase  :		Tuple						=      conv_kernel_size
        lowercase  :		str						=      inv_coeff_init_option
        lowercase  :		Any						=      layer_norm_eps
        super().__init__(pad_token_id=A   ,		bos_token_id=A   ,		eos_token_id=A   ,		**A )










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase	:      Optional[int]				=       {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase	:      List[str]				=       [
          '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ProphetNetDecoder''',
          '''ProphetNetEncoder''',
          '''ProphetNetForCausalLM''',
          '''ProphetNetForConditionalGeneration''',
          '''ProphetNetModel''',
          '''ProphetNetPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
      from .tokenization_prophetnet import ProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_prophetnet import (
                PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                ProphetNetDecoder,
                ProphetNetEncoder,
                ProphetNetForCausalLM,
                ProphetNetForConditionalGeneration,
                ProphetNetModel,
                ProphetNetPreTrainedModel,
            )

else:
      import sys

      lowercase	:      int				=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




