code: def init(self, C, M, N, dtype, qscheme, op_func, device):
      self.inputs = {"f_input": torch.rand(C, M, N, device=device)}
      self.op_func = op_func(dtype=dtype, qscheme=qscheme).to(device)
  
file_path: pytorch/benchmarks/operator_benchmark/pt/qobserver_test.py
imports: import torch
  import torch.ao.quantization.observer
  import operator_benchmark
label_desc: Use image node_id 1 for calling the QObserverBenchmark obj's underlying member method code with example usage: obj.init(C, M, N, dtype, qscheme, op_func, device) without return types