---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[29], line 1
----> 1 model.save(os.path.join(log_dir, 'model.h5'), save_format='h5')
File /opt/conda/lib/python3.10/site-packages/tensorflow/python/keras/engine/training.py:2132, in Model.save(self, filepath, overwrite, include_optimizer, save_format, signatures, options, save_traces)
2090 """Saves the model to Tensorflow SavedModel or a single HDF5 file.
2091
2092 Please see `tf.keras.models.save_model` or the
(...)
2129 ```
2130 """
2131 # pylint: enable=line-too-long
-> 2132 save.save_model(self, filepath, overwrite, include_optimizer, save_format,
2133 signatures, options, save_traces)
File /opt/conda/lib/python3.10/site-packages/tensorflow/python/keras/saving/save.py:145, in save_model(model, filepath, overwrite, include_optimizer, save_format, signatures, options, save_traces)
136 if (not model._is_graph_network and # pylint:disable=protected-access
137 not isinstance(model, sequential.Sequential)):
138 raise NotImplementedError(
139 'Saving the model to HDF5 format requires the model to be a '
140 'Functional model or a Sequential model. It does not work for '
(...)
143 'to the Tensorflow SavedModel format (by setting save_format="tf") '
144 'or using `save_weights`.')
--> 145 hdf5_format.save_model_to_hdf5(
146 model, filepath, overwrite, include_optimizer)
147 else:
148 with generic_utils.SharedObjectSavingScope():
File /opt/conda/lib/python3.10/site-packages/tensorflow/python/keras/saving/hdf5_format.py:110, in save_model_to_hdf5(model, filepath, overwrite, include_optimizer)
107 opened_new_file = False
109 try:
--> 110 model_metadata = saving_utils.model_metadata(model, include_optimizer)
111 for k, v in model_metadata.items():
112 if isinstance(v, (dict, list, tuple)):
File /opt/conda/lib/python3.10/site-packages/tensorflow/python/keras/saving/saving_utils.py:172, in model_metadata(model, include_optimizer, require_config)
161 logging.warning(
162 'TensorFlow optimizers do not '
163 'make it possible to access '
(...)
169 'Prefer using a Keras optimizer instead '
170 '(see keras.io/optimizers).')
171 elif model._compile_was_called: # pylint: disable=protected-access
--> 172 training_config = model._get_compile_args(user_metrics=False) # pylint: disable=protected-access
173 training_config.pop('optimizer', None) # Handled separately.
174 metadata['training_config'] = _serialize_nested_config(training_config)
TypeError: clone_and_build_model.<locals>.<lambda>() got an unexpected keyword argument 'user_metrics'
got error too when loading checkpoint which is saved model format, not h5 format.
code:
File /opt/conda/lib/python3.10/site-packages/keras/utils/traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs)
67 filtered_tb = _process_traceback_frames(e.traceback)
68 # To get the full stack trace, call:
69 # tf.debugging.disable_traceback_filtering()
---> 70 raise e.with_traceback(filtered_tb) from None
71 finally:
72 del filtered_tb
File /opt/conda/lib/python3.10/site-packages/keras/saving/legacy/saved_model/load.py:358, in KerasObjectLoader._add_children_recreated_from_config(self, obj, proto, node_id)
356 obj._maybe_initialize_trackable()
357 if isinstance(obj, base_layer.Layer) and not obj.built:
--> 358 metadata = json_utils.decode(self._metadata[node_id].metadata)
359 self._try_build_layer(
360 obj, node_id, metadata.get("build_input_shape")
361 )
363 # Create list of all possible children
KeyError: 808
**Operating environment(运行环境):**
- python version [e.g. 3.10.12]
- tensorflow version [e.g. 2.11.0]
- deepctr version [e.g. 0.9.3]
**Additional context**
Add any other context about the problem here.
Describe the bug(问题描述)
stack trace:
stack trace
File /opt/conda/lib/python3.10/site-packages/keras/utils/traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs)
67 filtered_tb = _process_traceback_frames(e.traceback)
68 # To get the full stack trace, call:
69 #
tf.debugging.disable_traceback_filtering()
---> 70 raise e.with_traceback(filtered_tb) from None 71 finally: 72 del filtered_tbFile /opt/conda/lib/python3.10/site-packages/keras/saving/legacy/saved_model/load.py:358, in KerasObjectLoader._add_children_recreated_from_config(self, obj, proto, node_id) 356 obj._maybe_initialize_trackable() 357 if isinstance(obj, base_layer.Layer) and not obj.built: --> 358 metadata = json_utils.decode(self._metadata[node_id].metadata) 359 self._try_build_layer( 360 obj, node_id, metadata.get("build_input_shape") 361 ) 363 # Create list of all possible children
KeyError: 808