code: def sort(tensor, axis):
      if axis is None:
          tensor = tensor.flatten()
          axis = -1
  
      return torch.sort(tensor, dim=axis).values
  
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 24 for calling the PyTorchBackend obj's underlying member method code with example usage: obj.sort(tensor, axis) and returns: torch