code: def init(self, N, C, input_size, output_size, contig, dtype):
      self.pool_op = torch.nn.AdaptiveAvgPool2d(output_size=output_size)
      super().setup(N, C, *input_size, dtype=dtype, contig=contig)
  
file_path: pytorch/benchmarks/operator_benchmark/pt/qpool_test.py
imports: import torch
  import operator_benchmark
label_desc: Use image node_id 1 for calling the QAdaptiveAvgPool2dBenchmark obj's underlying member method code with example usage: obj.init(N, C, input_size, output_size, contig, dtype) without return types