class_docstr: Residual Unit for FRRN
class_docstr_tok: ["Residual","Unit","for","FRRN"]
code: def __init__(self, channels, kernel_size=3, strides=1):
      super(RU, self).__init__()
  
      self.conv1 = conv2DBatchNormRelu(
          channels,
          channels,
          k_size=kernel_size,
          stride=strides,
          padding=1,
      )
      self.conv2 = conv2DBatchNorm(
          channels,
          channels,
          k_size=kernel_size,
          stride=strides,
          padding=1,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new RU object from inherited base classes: nn with example: obj = RU(channels, kernel_size, strides)