code: def inverse(
      c: Union[torch.Tensor, ComplexTensor]
  ) -> Union[torch.Tensor, ComplexTensor]:
      if isinstance(c, ComplexTensor):
          return c.inverse2()
      else:
          return c.inverse()
  
file_path: espnet/espnet2/enh/layers/complex_utils.py
imports: from typing import Sequence, Tuple, Union
  import torch
  from torch_complex import functional
  from torch_complex.tensor import ComplexTensor
label_desc: Use image node_id 10 for calling a global function with example usage: inverse(c) and returns: c, c