class_docstr: Reciprocal feature learning share backbone network
code: def __init__(self, in_channels, out_channels=512):
      super(RFLBase, self).__init__()
      self.ConvNet = ResNetBase(
          in_channels, out_channels, BasicBlock, [1, 2, 5, 3]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  from paddle.nn.initializer import TruncatedNormal, Constant, Normal, KaimingNormal
label_desc: Use image node_id 1 to create a new RFLBase object from inherited base classes: nn with example: obj = RFLBase(in_channels, out_channels)