class_docstr: Layer to perform a convolution followed by ELU
      
class_docstr_tok: ["Layer","to","perform","a","convolution","followed","by","ELU"]
code: def hybrid_forward(self, F, x):
      out = self.conv(x)
      out = self.nonlin(out)
      return out
  
imports: from __future__ import absolute_import, division, print_function
  import numpy
  import mxnet
  from mxnet.gluon import nn
label_desc: Use image node_id 2 for calling the ConvBlock obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: out