code: def WideResnetBlock(
      channels, strides=(1, 1), bn_momentum=0.9, mode="train"
  ):
      """WideResnet convolutional block."""
      return [
          tl.BatchNorm(momentum=bn_momentum, mode=mode),
          tl.Relu(),
          tl.Conv(channels, (3, 3), strides, padding="SAME"),
          tl.BatchNorm(momentum=bn_momentum, mode=mode),
          tl.Relu(),
          tl.Conv(channels, (3, 3), padding="SAME"),
      ]
  
imports: from trax import layers
label_desc: Use image node_id 4 for calling a global function with example usage: WideResnetBlock(channels, strides, bn_momentum, mode) and returns: list