code: def forward(
      self, x: torch.Tensor, cond: torch.Tensor
  ) -> torch.Tensor:
      cond = self.linear(cond).unsqueeze(2).unsqueeze(3)
  
      return self.conv(x * cond)
  
imports: from collections import OrderedDict
  from typing import Optional, Tuple, Type
  import torch
  import torch.nn
  from torchvision.models.resnet import Bottleneck, conv1x1, conv3x3
  from torchvision.ops.misc import FrozenBatchNorm2d
label_desc: Use image node_id 2 for calling the Modulation obj's underlying member method code with example usage: obj.forward(x, cond) and returns: self