class_docstr: ConvNet model.
class_docstr_tok: ["ConvNet","model","."]
docstr: My convolution: conv, batch-norm, relu.
docstr_tok: ["My","convolution",":","conv",",","batch-norm",",","relu","."]
code: def _myConv(self, x, kernel_size, filters, strides, is_atrous=False):
      """My convolution: conv, batch-norm, relu."""
      x = self._conv(x, kernel_size, filters, strides)
      x = self._batch_norm(x)
      x = self._relu(x)
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
label_desc: Use image node_id 6 for calling the ConvNet obj's underlying member method code with example usage: obj._myConv(x, kernel_size, filters, strides, is_atrous) and returns: x