code: def quant_dequant_APoT(
      tensor2quantize: Tensor,
      alpha: Tensor,
      gamma: Tensor,
      quantization_levels: Tensor,
      level_indices: Tensor,
  ) -> Tensor:
      quantizer = APoTQuantizer(
          alpha=alpha,
          gamma=gamma,
          quantization_levels=quantization_levels,
          level_indices=level_indices,
      )
      result = quantizer.quant_dequant(tensor2quantize)
      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 3 for calling a global function with example usage: quant_dequant_APoT(tensor2quantize, alpha, gamma, quantization_levels, level_indices) and returns: result