code: def mish(
      x: torch.Tensor,
      /,
      *,
      complex_mode: Literal["split", "magnitude", "jax"] = "jax",
      out: Optional[torch.Tensor] = None,
  ) -> torch.Tensor:
      if torch.is_complex(x):
          x_norm = torch.log1p(x.exp())
          return torch.multiply(x, x_norm.tanh())
      return torch.nn.functional.mish(x)
  
file_path: ivy/ivy/functional/backends/torch/activations.py
imports: from typing import Optional, Union, Literal
  import numpy
  import torch
  import torch.nn
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
  import ivy.functional.backends.torch
label_desc: Use image node_id 9 for calling a global function with example usage: mish() and returns: torch, torch