我正在使用tensorflow v1.14。我有一个保存的模型，并且尝试使用以下代码恢复模型：
loader = tf.train.import_meta_graph("models/fcnn0/model.ckpt.meta")graph = tf.get_default_graph()sess = tf.Session()loader.restore(sess, "models/fcnn0/model.ckpt")我之前在Tensorflow v1.13中使用相同的代码，并且它可以正常工作，没有错误。但现在我遇到了以下错误
Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1356, in _do_call return fn(*args) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1341, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun run_metadata)tensorflow.python.framework.errors_impl.DataLossError: file is too short to be an sstable [[{{node save/RestoreV2}}]]During handling of the above exception, another exception occurred:Traceback (most recent call last): File "/home/sandesh/PycharmProjects/fading/finding_code/src/load_32_64.py", line 8, in <module> loader.restore(sess, "models/fcnn_32_64_aenc_1331_747_3870000/model.ckpt") File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 1286, in restore {self.saver_def.filename_tensor_name: save_path}) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 950, in run run_metadata_ptr) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1173, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1350, in _do_run run_metadata) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1370, in _do_call raise type(e)(node_def, op, message)tensorflow.python.framework.errors_impl.DataLossError: file is too short to be an sstable [[node save/RestoreV2 (defined at home/sandesh/PycharmProjects/fading/finding_code/src/load_32_64.py:5) ]]Original stack trace for 'save/RestoreV2': File "home/sandesh/PycharmProjects/fading/finding_code/src/load_32_64.py", line 5, in <module> loader = tf.train.import_meta_graph("models/fcnn_32_64_aenc0/model.ckpt.meta") File "usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 1449, in import_meta_graph **kwargs)[0] File "usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 1473, in _import_meta_graph_with_return_elements **kwargs)) File "usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/meta_graph.py", line 857, in import_scoped_meta_graph_with_return_elements return_elements=return_elements) File "usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/importer.py", line 443, in import_graph_def _ProcessNewOps(graph) File "usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/importer.py", line 236, in _ProcessNewOps for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access File "usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3751, in _add_new_tf_operations for c_op in c_api_util.new_tf_operations(self) File "usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3751, in <listcomp> for c_op in c_api_util.new_tf_operations(self) File "usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3641, in _create_op_from_tf_operation ret = Operation(c_op, self) File "usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 2005, in __init__ self._traceback = tf_stack.extract_stack()有人能指出我哪里做错了么？提前感谢。
回答：
我在查看保存模型文件的文件夹时发现，model.ckpt.meta文件没有正确写入磁盘。我重新运行了训练并保存了模型，然后它就完美地工作了。
