None: marshal data too short

[benpaobamingliang1]

Model: "DeepAR"

---

248/248 [==============================] - 50s 186ms/step - loss: 0.3978 - rmse: 0.9683 - val_loss: 0.4870 - val_rmse: 1.0712 11-01 11:08:17 E hypernets.e._experiment.py 106 - ExperimentID:[HyperTS_56148232a2a64822f2b6a0028102d580] - None: marshal data too short Traceback (most recent call last): File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hypernets\experiment_experiment.py", line 91, in run y_eval=self.y_eval, **kwargs) File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hypernets\experiment\compete.py", line 1551, in train raise e File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hypernets\experiment\compete.py", line 1543, in train **kwargs) File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hypernets\experiment\compete.py", line 1226, in fit_transform **kwargs) File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hyperts\framework\compete.py", line 287, in build_estimator estimators = [hyper_model.load_estimator(trial.model_file) for trial in trials] File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hyperts\framework\compete.py", line 287, in estimators = [hyper_model.load_estimator(trial.model_file) for trial in trials] File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hyperts\hyper_ts.py", line 478, in load_estimator return HyperTSEstimator._load(model_file, self.mode) File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hyperts\hyper_ts.py", line 398, in _load model = BaseDeepEstimator.load_model(model_file) File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\hyperts\framework\dl_base.py", line 864, in load_model model = load_model(h, custom_objects=custom_objects) File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "D:\Program-SetUp\Anaconda\envs\TF2.3\lib\site-packages\keras\utils\generic_utils.py", line 857, in func_load code = marshal.loads(raw_code) EOFError: marshal data too short 请问为什么会出现这样的问题呢，我训练时会出现这样的报错