class_docstr: A quantized sparse linear module with quantized tensor as inputs and outputs.
class_docstr_tok: ["A","quantized","sparse","linear","module","with","quantized","tensor","as","inputs","and","outputs","."]
code: def __repr__(self):
      return _hide_packed_params_repr(self, LinearPackedParams)
  
imports: from typing import Optional
  import torch
  from torch.ao.nn.quantized.modules.utils import _quantize_weight, _hide_packed_params_repr
label_desc: Use image node_id 4 for calling the Linear obj's underlying member method code with example usage: obj.__repr__() and returns: _hide_packed_params_repr