class_docstr: ResNetV1b BasicBlockV1b
      
code: def hybrid_forward(self, F, x):
      residual = x
  
      out = self.conv1(x)
      out = self.bn1(out)
      out = self.relu1(out)
  
      out = self.conv2(out)
      out = self.bn2(out)
  
      if self.downsample is not None:
          residual = self.downsample(x)
  
      out = out + residual
      out = self.relu2(out)
  
      return out
  
imports: from __future__ import division
  from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
label_desc: Use image node_id 2 for calling the BasicBlockV1b obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: out