code: def __init__(self, channel, reduction=16):
      super(SpatialAttentionGate, self).__init__()
      self.fc1 = nn.Conv2d(channel, reduction, kernel_size=1, padding=0)
      self.fc2 = nn.Conv2d(reduction, 1, kernel_size=1, padding=0)
  
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 1 to create a new SpatialAttentionGate object from inherited base classes: nn with example: obj = SpatialAttentionGate(channel, reduction)