code: def _run_scheduled_sample_func(self, func, var, batch_size):
      ground_truth_x = list(range(1, batch_size + 1))
      generated_x = [-x for x in ground_truth_x]
      ground_truth_x = tf.convert_to_tensor(ground_truth_x)
      generated_x = tf.convert_to_tensor(generated_x)
      ss_out = func(ground_truth_x, generated_x, batch_size, var)
      output = self.evaluate([ground_truth_x, generated_x, ss_out])
      return output
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.layers import common_video
  from tensor2tensor.utils import test_utils
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the CommonVideoTest obj's underlying member method code with example usage: obj._run_scheduled_sample_func(func, var, batch_size) and returns: output