Restoring Trainable Variables from Saved Model

I defined a model using Tensorflow 2 with a Model Sublassing API on Python

class BiLSTMModel(tf.keras.Model):

    def __init__(self, lstm_dims):
        super().__init__()
        self.ldims = lstm_dims
        self.blockLstm = FirstBlockLSTMModule(lstm_dims)
        self.nextBlockLstm = NextBlockLSTM(lstm_dims)

    def call(self, inputs):
        # Forward pass
        block_lstm1_output = self.blockLstm(inputs)
        block_lstm2_output = self.nextBlockLstm(block_lstm1_output)
        return block_lstm2_output

I implemented a custom training loop and after each epoch, I just save this Keras model

biLSTMModel = BiLSTMModel(lstm_dims)
for epoch in range(epochs):
 # Training code
 tf.saved_model.save(biLSTMModel, export_dir)

It generates the expected structure with assets and variables folders, along with saved_model.pb and variables files

Later on, when loading the model I can restore all trainable variables values of the model just like this:

loaded_bi_lstm = tf.saved_model.load(model_path)
infer_bi_lstm = loaded_bi_lstm.signatures["serving_default"]

# LSTM weights
w_first_lstm = tf.Variable(infer_bi_lstm.trainable_variables[0])
wig_first_lstm = tf.Variable(infer_bi_lstm.trainable_variables[1])
wfg_first_lstm = tf.Variable(infer_bi_lstm.trainable_variables[2])
wog_first_lstm = tf.Variable(infer_bi_lstm.trainable_variables[3])

The model on tensorflow-java is loading without errors.

@Test
public void shouldRestoreVariablesFromSavedModel() {
    SavedModelBundle model = SavedModelBundle.load(SAVED_MODEL_DP_PATH, SavedModelBundle.DEFAULT_TAG);
    ConcreteFunction concreteFunction = model.function("serving_default");

    //Trying to find some object that stores trainables variables data
    MetaGraphDef metaGraphDef = model.metaGraphDef();
    SignatureDef sig = metaGraphDef.getSignatureDefOrThrow("serving_default");
}

But I don't find a way to restore the trainable variables. When debugging, it seems there is no object that stores these data. Could you please guide me on how to get all trainable variables values from a saved model on Java.

Thanks

SavedModelBundle.load、model.function("serving_default")、model.metaGraphDef() に示されている Java の読み込みパスから始めます。ConcreteFunction と SignatureDef が保存済みモデルをどのように公開しているかを確認し、そこに学習可能な変数の値が表現されているかどうかを判断します。保存済みモデルからそれらの値を取得する Java 対応の方法を文書化するか、利用できるようにすれば完了です。