class_docstr: ConvNet model.
class_docstr_tok: ["ConvNet","model","."]
docstr: Wrapper on _myConv layer, when convolution is used by-itself as a layer.
docstr_tok: ["Wrapper","on","_myConv","layer",",","when","convolution","is","used","by-itself","as","a","layer","."]
code: def _conv_layer(
      self, x, kernel_size, filters, strides, is_atrous=False
  ):
      """Wrapper on _myConv layer, when convolution is used by-itself as a layer."""
      with tf.name_scope("conv_layer") as name_scope:
          x = self._myConv(
              x, kernel_size, filters, strides, is_atrous=False
          )
      tf.logging.info(
          "image after unit %s: %s", name_scope, x.get_shape()
      )
      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 7 for calling the ConvNet obj's underlying member method code with example usage: obj._conv_layer(x, kernel_size, filters, strides, is_atrous) and returns: x