code: def infer_shape(self, in_shapes):
      data_shape = in_shapes[0]
      output_shape = data_shape
      return (data_shape,), (output_shape,), ()
  
imports: from __future__ import print_function
  import mxnet
  from mxnet import gluon, np, npx
  from mxnet import autograd
  from mxnet.gluon import nn
  import numpy
  import cv2
label_desc: Use image node_id 2 for calling the ReluProp obj's underlying member method code with example usage: obj.infer_shape(in_shapes) and returns: data_shape,  output_shape,  