from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin


class   lowerCamelCase					(SCREAMING_SNAKE_CASE__  ,      SCREAMING_SNAKE_CASE__					):
  """simple docstring"""







  @register_to_config
  def __init__(							self :       Dict  ,     __magic_name__ :       int = 768  ,     )  ->	Any:
        super().__init__()

        SCREAMING_SNAKE_CASE_          =  nn.Parameter(torch.zeros(1  ,     __magic_name__   )   )
        SCREAMING_SNAKE_CASE_          =  nn.Parameter(torch.ones(1  ,     __magic_name__   )   )







  def    __A     (							self :       Optional[Any]  ,     __magic_name__ :       Optional[Union[str, torch.device]] = None  ,     __magic_name__ :       Optional[torch.dtype] = None  ,     )  ->	List[str]:
        SCREAMING_SNAKE_CASE_          =  nn.Parameter(self.mean.to(__magic_name__   ).to(__magic_name__   )   )
        SCREAMING_SNAKE_CASE_          =  nn.Parameter(self.std.to(__magic_name__   ).to(__magic_name__   )   )
        return self







  def    __A     (							self :       List[str]  ,     __magic_name__ :       List[str]   )  ->	Tuple:
        SCREAMING_SNAKE_CASE_          =  (embeds - self.mean) * 1.0 / self.std
        return embeds







  def    __A     (							self :       List[str]  ,     __magic_name__ :       Dict   )  ->	Dict:
        SCREAMING_SNAKE_CASE_          =  (embeds * self.std) + self.mean
        return embeds



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


A     :  Dict					     =       {}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A     :  Optional[Any]					     =       ["BartphoTokenizer"]

if TYPE_CHECKING:
      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_bartpho import BartphoTokenizer

else:
      import sys

      A     :  Optional[int]					     =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


