code: def float_tensor_list1D(input_tensor: Tensor) -> List[float]:
      result: List[float] = []
      assert len(input_tensor.size()) == 1
      for idx in range(input_tensor.size(0)):
          result.append(float(input_tensor[idx]))
      return result
  
imports: from typing import List, NamedTuple, Optional, Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 18 for calling a global function with example usage: float_tensor_list1D(input_tensor) and returns: result