code: def init(self, N, IN, OUT, device):
      super().init(N, IN, OUT, nnq.Linear(IN, OUT))
      self.inputs = {"input": self.qX}
      self.set_module_name("QLinear")
  
file_path: pytorch/benchmarks/operator_benchmark/pt/qlinear_test.py
imports: import torch
  import torch.ao.nn.quantized
  import torch.ao.nn.quantized.dynamic
  from pt import configs
  import operator_benchmark
label_desc: Use image node_id 1 for calling the QLinearBenchmark obj's underlying member method code with example usage: obj.init(N, IN, OUT, device) without return types