def test_experiment(self): """Tests that the `Experiment` object is constructed correctly.""" run_config = tf.estimator.RunConfig() hparams = model_hparams.create_hparams( hparams_overrides='load_pretrained=false') pipeline_config_path = get_pipeline_config_path(MODEL_NAME_FOR_TEST) experiment = model_lib.populate_experiment(run_config, hparams, pipeline_config_path, train_steps=10, eval_steps=20) self.assertEqual(10, experiment.train_steps) self.assertEqual(20, experiment.eval_steps)
def test_experiment(self): """Tests that the `Experiment` object is constructed correctly.""" run_config = tf.estimator.RunConfig() hparams = model_hparams.create_hparams( hparams_overrides='load_pretrained=false') pipeline_config_path = get_pipeline_config_path(MODEL_NAME_FOR_TEST) experiment = model_lib.populate_experiment( run_config, hparams, pipeline_config_path, train_steps=10, eval_steps=20) self.assertEqual(10, experiment.train_steps) self.assertEqual(20, experiment.eval_steps)