应用错误收集

我正在尝试使用估算器实现DNN分类器，如本教程所示：http://nbviewer.jupyter.org/gist/yufengg/7dd4170cc730ce418a1dcd141532ec6e

但是，每当我运行代码时，我都会收到这条冗长的错误消息：

追踪（最近一次通话）： File＆＃34; / Users / vivekreddy / Desktop / NN / IRis Practice Estimators.py＆＃34;，第48行，in 步骤= 1000）火车文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/estimator/estimator.py" ;,第352行，在火车上 loss = self._train_model（input_fn，hooks，saving_listeners）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/estimator/estimator.py" ;,第888行，在_train_model中 log_step_count_steps = self._config.log_step_count_steps）为mon_sess：文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py"，第384行，在MonitoredTrainingSession中 stop_grace_period_secs = stop_grace_period_secs）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第795行，在 init < /强> stop_grace_period_secs = stop_grace_period_secs）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第518行，在 init < /强> self._sess = _RecoverableSession（self._coordinated_creator）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第981行，在 init < /强> _WrappedSession。 init （self，self._create_session（））文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py"，第986行，在_create_session中 return self._sess_creator.create_session（）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第675行，在create_session中 self.tf_sess = self._session_creator.create_session（）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py"，第446行，在create_session中 init_fn = self._scaffold.init_fn）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/session_manager.py" ;,第275行，在prepare_session中配置= CONFIG）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/session_manager.py" ;,第207行，在_restore_checkpoint中 saver.restore（sess，ckpt.model_checkpoint_path）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py" ;,第1755行，恢复 {self.saver_def.filename_tensor_name：save_path}）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.py" ;,第905行，在运行中 run_metadata_ptr）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.py" ;,第1137行，在_run中 feed_dict_tensor，options，run_metadata）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.py" ;,第1355行，在_do_run中选项，run_metadata）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.py" ;,第1374行，在_do_call 提升类型（e）（node_def，op，message） NotFoundError：检查点中找不到密钥dnn / hiddenlayer_0 / bias [[节点：save / RestoreV2 = RestoreV2 [dtypes = [DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_FLOAT，...，DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_INT64]，_ device =＆＃34; / job：localhost / replica ：0 / task：0 / device：CPU：0＆＃34;]（_ arg_save / Const_0_0，save / RestoreV2 / tensor_names，save / RestoreV2 / shape_and_slices）]]

由op u＆＃39; save / RestoreV2＆＃39;引起，定义于：文件＆＃34;＆＃34;，第1行，in 文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/idlelib/run.py" ;,第115行，主要 ret =方法（* args，** kwargs）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/idlelib/run.py" ;,第325行，在runcode中 self.locals中的exec代码 File＆＃34; / Users / vivekreddy / Desktop / NN / IRis Practice Estimators.py＆＃34;，第48行，in 步骤= 1000）火车文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/estimator/estimator.py" ;,第352行，在火车上 loss = self._train_model（input_fn，hooks，saving_listeners）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/estimator/estimator.py" ;,第888行，在_train_model中 log_step_count_steps = self._config.log_step_count_steps）为mon_sess：文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py"，第384行，在MonitoredTrainingSession中 stop_grace_period_secs = stop_grace_period_secs）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第795行，在 init < /强> stop_grace_period_secs = stop_grace_period_secs）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第518行，在 init < /强> self._sess = _RecoverableSession（self._coordinated_creator）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第981行，在 init < /强> _WrappedSession。 init （self，self._create_session（））文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py"，第986行，在_create_session中 return self._sess_creator.create_session（）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第675行，在create_session中 self.tf_sess = self._session_creator.create_session（）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第437行，在create_session中 self._scaffold.finalize（）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/monitored_session.py" ;,第214行，最终确定 self._saver.build（）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py" ;,第1302行，在构建中 self._build（self._filename，build_save = True，build_restore = True）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py" ;,第1339行，在_build中 build_save = build_save，build_restore = build_restore）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py"，第790行，在_build_internal中 restore_sequentially，重塑）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py" ;,第502行，在_AddShardedRestoreOps中名称=＆＃34; restore_shard＆＃34））文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py" ;,第449行，在_AddRestoreOps中 restore_sequentially）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py" ;,第847行，在bulk_restore中返回io_ops.restore_v2（filename_tensor，名称，切片，dtypes）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/ops/gen_io_ops.py"，第1030行，在restore_v2中 shape_and_slices = shape_and_slices，dtypes = dtypes，name = name）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py" ;,第787行，在_apply_op_helper中 op_def = op_def）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/framework/ops.py"，第3271行，在create_op中 op_def = op_def）文件＆＃34; /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/framework/ops.py" ;,第1650行，在 init < /强> self._traceback = self._graph._extract_stack（）#pylint：disable = protected-access

NotFoundError（参见上面的回溯）：检查点中找不到密钥dnn / hiddenlayer_0 / bias [[节点：save / RestoreV2 = RestoreV2 [dtypes = [DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_FLOAT，...，DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_FLOAT，DT_INT64]，_ device =＆＃34; / job：localhost / replica ：0 / task：0 / device：CPU：0＆＃34;]（_ arg_save / Const_0_0，save / RestoreV2 / tensor_names，save / RestoreV2 / shape_and_slices）]]

在做了一些打印语句之后，我确信在这行代码中发生了错误： classifier.train（input_fn = input_fn（training_set），步数= 1000）

我想知道它是否与我的Tensorflow版本有关，即1.6 任何帮助赞赏。感谢。

检查点错误

2 个答案: