code: def init(self, M, N, K, device):
      self.inputs = {
          "input_one": torch.rand(
              M,
              N,
              K,
              device=device,
              requires_grad=False,
              dtype=torch.float32,
          )
      }
      self.set_module_name("linear_prepack_fp16")
  
imports: import torch
  import operator_benchmark
label_desc: Use image node_id 1 for calling the LinearPrepackFP16Benchmark obj's underlying member method code with example usage: obj.init(M, N, K, device) without return types