class_docstr: Mish Activation Function.
  
  Introduced in `Mish: A Self Regularized Non-Monotonic Activation Function`_.
  
  .. _Mish: A Self Regularized Non-Monotonic Activation Function:
     https://arxiv.org/abs/1908.08681
docstr: Calculate forward propagation.
  
  Args:
      x (torch.Tensor): Input tensor.
  
  Returns:
      torch.Tensor: Output tensor.
docstr_tok: ["Calculate","forward","propagation",".","Args",":","x","(","torch.Tensor",")",":","Input","tensor",".","Returns",":","torch.Tensor",":","Output","tensor","."]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      """Calculate forward propagation.
  
      Args:
          x (torch.Tensor): Input tensor.
  
      Returns:
          torch.Tensor: Output tensor.
  
      """
      return x * torch.tanh(F.softplus(x))
  
imports: import math
  from typing import Optional, Union
  import numpy
  import torch
  from torch import nn
  from torch.nn import functional
  from espnet.nets.pytorch_backend.transformer.embedding import PositionalEncoding
label_desc: Use image node_id 1 for calling the Mish obj's underlying member method code with example usage: obj.forward(x) and returns: unknown