Ability to save a trained model

[Yandychang1]

Is there an example of how to save a trained model, I have spent a significant amount of time trying to figure it out, but I am unsuccessful.

[bigbugcc]

keras:
var model = Training();
model.save_weights("your_save_path_file.h5");

is this what you want ?

[Yandychang1]

I think like that it will give me a FileNotFound exception in HDF5CSharp.dll.
Besides I think if I save the weights only in order to load them, I would need to re define the network, and that option may not be always available.
Mi goal was to save the files as would be saved by tensorflow 2 so I could then save as ONNX file.
Inability to easily achieve this is what keeps me from using this library instead of CNTK.

[Yandychang1]

.

[bigbugcc]

I get. I can't solve this problem.
the author doesn't seem to provide relevant examples.

[jletria]

Tensorflow.Keras.Engine.Model save method isn't working.
It's supposed to allow to save HDF5 files from Keras models (complete model, not just weights)

It calls ModelSaver which seems to be only half implemented, ending in a _build_meta_graph empty function.

Is there an alternative working method to save a Keras model to HDF5?
The save_weights method only saves weights, not the whole model.

[bigbugcc]

I saw an example that uses another approach, by defining Saver Obj to save it, but this method doesn't work with keras API.
var saver = tf.train.Saver(tf.global_variables());
saver.save(sess, ModelPath);

[Yandychang1]

Thank you for your answer.
From what I could gather, this saves a session in TensorFlow. The issue I found with this approach was to convert a Keras model into a session I can serialize.

[Firestorm-253]

@Oceania2018 so there is no way to load anything into an untrained model?
where is the use to have a massive & complex ML-library if u can't save/load anything u trained for hours.
if that's actually the case, the whole project could be considered useless.

i like the work u did here, but that's quite depressing.

Greetings Fire

[Oceania2018]

There is a approach you can load the saved model the pb format into tensorflow.net for prediction purpose only.
Check this example. It imports trained model.

[pantokrr]

@Oceania2018 where is the use to have a massive & complex ML-library if u can't save/load anything u trained for hours. if that's actually the case, the whole project could be considered useless.

I absolutely agree. It makes it pointless to continue use of this library, if you cannot save a trained model.

And yes, it is possible to load a saved model, but that's not the focus point of this issue.

[SanftMonster]

We agree that the ability to save model is significant and I'm now working on it. Once I finish it, I'll tell you about it. :)

[SanftMonster]

The model saving of pb format has been partially finished and merged. #976 It supports saving trained model with keras and the model can be directly loaded with tensorflow python. For the usage please refer to example of alexnet saving, which is approximately same with tensorflow python API.

Welcome to have a try with this feature and share the BUGs and lacked features with us! I'll continue to complete this feature and add the model loading of pb format.

For details of this feature please refer to #976 (comment). The main incomplete parts are checkpoint and RNN.