code: def get_shape(self, value):
      shape = self.eval(tf.shape(value))
      return tuple(shape)
  
imports: import random
  from itertools import product
  from collections import namedtuple
  import numpy
  import tensorflow
  from neupy import layers
  from neupy.utils import asfloat, shape_to_tuple
  from neupy.layers.convolutions import conv_output_shape, deconv_output_shape
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the ConvLayersTestCase obj's underlying member method code with example usage: obj.get_shape(value) and returns: tuple