code: def forward(self, inp):
      y = (
          inp
          * (torch.min(torch.relu(inp), self.six) + self.three)
          * self.sixth
      )
      return y
  
file_path: pytorch/benchmarks/tensorexpr/swish.py
imports: import torch
  from .None import benchmark
label_desc: Use image node_id 2 for calling the SwishBench obj's underlying member method code with example usage: obj.forward(inp) and returns: y