ilblackdragon
commented
8 years ago Apparently Saver/get_latest_checkpoint doesn't work very well with relative paths: https://github.com/tensorflow/tensorflow/issues/571
For now I'm adding an absolute path override. Note, this may result that when you move folder, you need to change paths inside the checkpoint file (this is also true currently if you provide absolute path).
Hopefully we will fix it in TF to make model state not depend on the absolute path.
There's an error on restoring model when I executing a code below.
import skflow from sklearn import datasets, metrics
iris = datasets.load_iris() classifier = skflow.TensorFlowDNNClassifier(hidden_units=[10, 20, 10], n_classes=3) classifier.fit(iris.data, iris.target) classifier.save('test_model') new_clf = skflow.TensorFlowEstimator.restore('test_model') score = metrics.accuracy_score(new_clf.predict(iris.data), iris.target) print("Accuracy: %f" % score)
Traceback (most recent call last): File "dnn_save.py", line 8, in
new_clf = skflow.TensorFlowEstimator.restore('test_model')
File "/usr/local/lib/python2.7/dist-packages/skflow/init.py", line 353, in restore
estimator._restore(path)
File "/usr/local/lib/python2.7/dist-packages/skflow/init.py", line 325, in _restore
self._saver.restore(self._session, checkpoint_path)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 864, in restore
sess.run([self._restore_op_name], {self._filename_tensor_name: save_path})
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 345, in run
results = self._do_run(target_list, unique_fetch_targets, feed_dict_string)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 404, in _do_run
target_list)
tensorflow.python.pywrap_tensorflow.StatusNotOK: Internal: Unable to get element from the feed.