我做了一个Keras模型,但是错误:“ValueError:No variables to save”不断出现,我不知道这是什么意思,也不知道是什么导致了这个问题。你知道吗
我试图改变存储Keras模型的方式,但似乎这不是问题所在。。。你知道吗
下面的代码是构建Keras模型之后的部分。你知道吗
tensorboard_callback = TensorBoard(log_dir = log_path, write_graph = True, embeddings_freq = 'batch')
es_min_valLoss = EarlyStopping(monitor = 'val_loss', patience = 15, mode = 'min')
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
train_history=model.fit(x = trainData, y = trainLabels, validation_split = validation_split,
epochs = epochs, batch_size = batch_size, verbose = 2,
callbacks=[tensorboard_callback, es_min_valLoss])
错误消息如下所示:
Traceback (most recent call last):
File "<ipython-input-27-9694f30344b3>", line 9, in <module>
callbacks=[tensorboard_callback, es_min_valLoss])
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\keras\models.py", line 1002, in fit
validation_steps=validation_steps)
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\keras\engine\training.py", line 1705, in fit
validation_steps=validation_steps)
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\keras\engine\training.py", line 1155, in _fit_loop
callbacks.set_model(callback_model)
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\keras\callbacks.py", line 52, in set_model
callback.set_model(model)
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\keras\callbacks.py", line 802, in set_model
self.saver = tf.train.Saver(list(embeddings.values()))
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\training\saver.py", line 832, in __init__
self.build()
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\training\saver.py", line 844, in build
self._build(self._filename, build_save=True, build_restore=True)
File "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\training\saver.py", line 869, in _build
raise ValueError("No variables to save")
ValueError: No variables to save
你的嵌入数据是什么?必须将
embeddings_data
传递给TensorBoard回调。如果不使用嵌入,请删除参数embeddings_freq
Keras文档很棒,您可以阅读更多关于TensorBoard回调here
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