code: def forward(self, q_input, scale_factor: float, mode: str):
      return torch.nn.functional.interpolate(
          q_input, scale_factor=scale_factor, mode=mode
      )
  
imports: import torch
  import operator_benchmark
label_desc: Use image node_id 2 for calling the QInterpolateBenchmark obj's underlying member method code with example usage: obj.forward(q_input, scale_factor, mode) and returns: torch