class_docstr: FastSCNN classifier
class_docstr_tok: ["FastSCNN","classifier"]
code: def hybrid_forward(self, F, x):
      x = self.dsconv1(x)
      x = self.dsconv2(x)
      x = self.dp(x)
      x = self.conv(x)
      return x
  
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
label_desc: Use image node_id 2 for calling the Classifer obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: x