class_docstr: Res-net Basic Block
code: def _conv3x3(self, in_planes, out_planes, stride=1):
      return nn.Conv2D(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=stride,
          padding=1,
          bias_attr=False,
      )
  
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 2 for calling the BasicBlock obj's underlying member method code with example usage: obj._conv3x3(in_planes, out_planes, stride) and returns: nn