code: def forward(self, x):
      x1, x2 = x
      return x1 * self.upsample(self.conv(x2))
  
file_path: pywick/pywick/models/segmentation/testnets/lg_kernel_exfuse/large_kernel_exfuse.py
imports: import torch
  from torch import nn
  from .deeplab_resnet import ModelBuilder
  from .large_kernel import _GlobalConvModule
label_desc: Use image node_id 2 for calling the SEB obj's underlying member method code with example usage: obj.forward(x) and returns: unknown