class_docstr: Layer to pad and convolve input
      
class_docstr_tok: ["Layer","to","pad","and","convolve","input"]
code: def predict(self, x):
      if self.use_refl:
          out = self.pad(x)
      else:
          out = mx.nd.pad(
              x,
              mode="constant",
              constant_value=0,
              pad_width=(0, 0, 0, 0, 1, 1, 1, 1),
          )
  
      out = self.conv(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 3 for calling the Conv3x3 obj's underlying member method code with example usage: obj.predict(x) and returns: out