def testReturnDatasetFromInputFn(self):
def _input_fn():
return dataset_ops.Dataset.range(10)
est = estimator.Estimator(model_fn=self._model_fn)
est.train(_input_fn, steps=2, hooks=[self._build_iterator_saver_hook(est)])
self.assertSequenceEqual(self._read_vars(est.model_dir), (2, 1))
est.train(_input_fn, steps=2, hooks=[self._build_iterator_saver_hook(est)])
self.assertSequenceEqual(self._read_vars(est.model_dir), (4, 3))
def testBuildIteratorInInputFn(self):
def _input_fn():
ds = dataset_ops.Dataset.range(10)
iterator = ds.make_one_shot_iterator()
return iterator.get_next()
est = estimator.Estimator(model_fn=self._model_fn)
est.train(_input_fn, steps=2, hooks=[self._build_iterator_saver_hook(est)])
self.assertSequenceEqual(self._read_vars(est.model_dir), (2, 1))
est.train(_input_fn, steps=2, hooks=[self._build_iterator_saver_hook(est)])
self.assertSequenceEqual(self._read_vars(est.model_dir), (4, 3))
