code: def init(self, M, N, dtype):
      self.data = [self.tensor([N], dtype) for _ in range(M)]
      self.quantile = 0.3
      self.output = self.tensor([1], dtype)
      self.set_module_name("quantile_op")
  
imports: import benchmark_caffe2
  from benchmark_caffe2 import Caffe2BenchmarkBase
  from caffe2.python import core
  import operator_benchmark
label_desc: Use image node_id 1 for calling the QuantileOpBenchmark obj's underlying member method code with example usage: obj.init(M, N, dtype) without return types