class_docstr: Layer to perform a convolution followed by ELU
      
class_docstr_tok: ["Layer","to","perform","a","convolution","followed","by","ELU"]
code: def __init__(self, in_channels, out_channels):
      super(ConvBlock, self).__init__()
  
      with self.name_scope():
          self.conv = Conv3x3(in_channels, out_channels)
          self.nonlin = nn.ELU()
  
imports: from __future__ import absolute_import, division, print_function
  import numpy
  import mxnet
  from mxnet.gluon import nn
label_desc: Use image node_id 1 to create a new ConvBlock object from inherited base classes: nn with example: obj = ConvBlock(in_channels, out_channels)