code: def _dequantize_int8(
      self, tensor: Tensor, quant_scale: Tensor, quant_min: Tensor
  ) -> Tensor:
      assert tensor.dtype == torch.uint8
      data = torch.zeros_like(
          tensor, dtype=self.dtype, device=tensor.device
      )
      data = data.copy_(tensor)
      data = data.div_(quant_scale).add_(quant_min)
  
      return data
  
imports: import torch
  import deepspeed
  from torch import Tensor
  from typing import Tuple
  import torch.nn
  from typing import Dict, Callable, Union
  from deepspeed.accelerator import get_accelerator
  import functools
label_desc: Use image node_id 3 for calling the DeQuantizer obj's underlying member method code with example usage: obj._dequantize_int8(tensor, quant_scale, quant_min) and returns: data