当我尝试保存并恢复模型时，我收到了此错误。
我玩过并改变了结构，足以将模型的大小减小到1.2GB，但错误仍然存在：
-rw-rw-r-- 1 ubuntu ubuntu 1.2G Feb 24 13:44 cnn-classifier-model-0.data-00000-of-00001
-rw-rw-r-- 1 ubuntu ubuntu 1.1K Feb 24 13:44 cnn-classifier-model-0.index
-rw-rw-r-- 1 ubuntu ubuntu 102K Feb 24 13:44 cnn-classifier-model-0.meta
知道为什么会这样吗？
一些代码：
# In the graph
# Create a saver.
saver = tf.train.Saver()
# Remember the training_op we want to run by adding it to a collection.
tf.add_to_collection('foo', foo)
# In session
save_path = saver.save(sess, 'metafiles/cnn-classifier-model', global_step=0) # at the end of training
# Later in a seperate Jupyter cell/new notebook
sess = tf.InteractiveSession()
new_saver = tf.train.import_meta_graph('metafiles/cnn-classifier-model-0.meta')
new_saver.restore(sess, 'metafiles/cnn-classifier-model-0')
foo = tf.get_collection('foo')[0]
sess.close()
错误跟踪：
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-49-ada5c83f8e85> in <module>()
4 sess = tf.InteractiveSession()
5 new_saver = tf.train.import_meta_graph('metafiles/cnn-classifier-model-0.meta')
----> 6 new_saver.restore(sess, 'metafiles/cnn-classifier-model-0')
7 predictions = tf.get_collection('predictions')[0]
8 sess.close()
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.pyc in restore(self, sess, save_path)
1437 return
1438 sess.run(self.saver_def.restore_op_name,
-> 1439 {self.saver_def.filename_tensor_name: save_path})
1440
1441 @staticmethod
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
765 try:
766 result = self._run(None, fetches, feed_dict, options_ptr,
--> 767 run_metadata_ptr)
768 if run_metadata:
769 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
963 if final_fetches or final_targets:
964 results = self._do_run(handle, final_targets, final_fetches,
--> 965 feed_dict_string, options, run_metadata)
966 else:
967 results = []
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1013 if handle is None:
1014 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1015 target_list, options, run_metadata)
1016 else:
1017 return self._do_call(_prun_fn, self._session, handle, feed_dict,
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)
1020 def _do_call(self, fn, *args):
1021 try:
-> 1022 return fn(*args)
1023 except errors.OpError as e:
1024 message = compat.as_text(e.message)
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
998 run_metadata):
999 # Ensure any changes to the graph are reflected in the runtime.
-> 1000 self._extend_graph()
1001 with errors.raise_exception_on_not_ok_status() as status:
1002 return tf_session.TF_Run(session, options,
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _extend_graph(self)
1042 graph_def, self._current_version = self._graph._as_graph_def(
1043 from_version=self._current_version,
-> 1044 add_shapes=self._add_shapes)
1045 # pylint: enable=protected-access
1046
/home/ubuntu/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in _as_graph_def(self, from_version, add_shapes)
2218 bytesize += op.node_def.ByteSize()
2219 if bytesize >= (1 << 31) or bytesize < 0:
-> 2220 raise ValueError("GraphDef cannot be larger than 2GB.")
2221 if self._functions:
2222 for f in self._functions.values():
ValueError: GraphDef cannot be larger than 2GB.