code: def __init__(self, channels, reduction=4):
      super().__init__()
      self.channel_gate = ChannelGate2d(channels)
      self.spatial_gate = SpatialGate2dV2(channels, reduction)
  
imports: from torch import nn, Tensor
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new ChannelSpatialGate2dV2 object from inherited base classes: nn with example: obj = ChannelSpatialGate2dV2(channels, reduction)