code: def to_python_float(t):
      if hasattr(t, "item"):
          return t.item()
      else:
          return t[0]
  
imports: import torch
  import torch.nn
  from torch.autograd import Variable
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
label_desc: Use image node_id 9 for calling a global function with example usage: to_python_float(t) and returns: t, t