code: def test_sample(self):
      dataset = video_conditional_fvd.VideoEvaluationDataset(
          n_input_frames=4, n_output_frames=10, get_video_batch_fn=None
      )
      model = video_conditional_fvd.Model(apply_fn=None, load_fn=None)
      video_conditional_fvd.evaluate_model(dataset, model, 10, 16)
  
file_path: tensor2tensor/tensor2tensor/metrics/video_conditional_fvd_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.metrics import video_conditional_fvd
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the VideoConditionalFvdTest obj's underlying member method code with example usage: obj.test_sample() without return types