code: def forward(self, x):
      x = self.block(x)
      g1 = self.spatial_gate(x)
      g2 = self.channel_gate(x)
  
      return x * g1 + x * g2
  
imports: from torch import nn
  from torch.nn import functional
  import torch
  from torchvision import models
  from torchvision.models import resnet34, resnet101, resnet50, resnet152
  import torchvision
label_desc: Use image node_id 2 for calling the EncoderBlock obj's underlying member method code with example usage: obj.forward(x) and returns: unknown