code: def conv_output_shape(self, A, B):
      return (A[0] - B[0] + 1, A[1] - B[1] + 1)
  
imports: from __future__ import absolute_import
  from __future__ import print_function
  from builtins import range
  import autograd.numpy
  import autograd.numpy.random
  import autograd.scipy.signal
  from autograd import grad
  import data_mnist
label_desc: Use image node_id 4 for calling the conv_layer obj's underlying member method code with example usage: obj.conv_output_shape(A, B) and returns: unknown,  unknown