code: def flip(tensor, axis=None):
      if isinstance(axis, int):
          axis = [axis]
  
      if axis is None:
          return torch.flip(
              tensor, dims=[i for i in range(tensor.ndim)]
          )
      else:
          return torch.flip(tensor, dims=axis)
  
imports: from packaging.version import Version
  import numpy
  from .core import Backend, backend_types, backend_basic_math, backend_array
label_desc: Use image node_id 17 for calling the PyTorchBackend obj's underlying member method code with example usage: obj.flip(tensor, axis) and returns: torch, torch