code: def dequantize_APoT(apot_tensor) -> Tensor:
      quantizer = apot_tensor.quantizer
      result = quantizer.dequantize(apot_tensor)
      return result
  
file_path: pytorch/torch/ao/quantization/experimental/quantizer.py
imports: import torch
  from torch import Tensor
  import numpy
  from torch.ao.quantization.experimental.apot_utils import float_to_apot, apot_to_float, quant_dequant_util
label_desc: Use image node_id 2 for calling a global function with example usage: dequantize_APoT(apot_tensor) and returns: result