code: def forward(self, inputs):
      y = self.conv0(inputs)
      conv1 = self.conv1(y)
  
      if self.shortcut:
          short = inputs
      else:
          short = self.short(inputs)
      y = paddle.add(x=short, y=conv1)
      y = F.relu(y)
      return y
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn import Conv2D, BatchNorm, Linear, Dropout
  from paddle.nn import AdaptiveAvgPool2D, MaxPool2D, AvgPool2D
  from paddle.nn.initializer import Uniform
  import math
  from paddle.vision.ops import DeformConv2D
  from paddle.regularizer import L2Decay
  from paddle.nn.initializer import Normal, Constant, XavierUniform
  from .det_resnet_vd import DeformableConvV2, ConvBNLayer
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj.forward(inputs) and returns: y