Using the retvec model as embeding methods, but the GPU memory abnormal increase to 40G. tensorflow 2.15.0 keras 2.15.0 tf-keras 2.15.0 retvec 1.0.1 Using methods: ``` def get_retvec_tokenizer(model_path): with tf.device('/CPU:0'): inputs = layers.Input(shape=(1,), dtype=tf.string) outputs = RETVecTokenizer(model=model_path)(inputs) retvec = tf.keras.Model(inputs=inputs, outputs=outputs) return retvec ``` Init the model state:  Using the model state inference: 
Using the retvec model as embeding methods, but the GPU memory abnormal increase to 40G.
tensorflow 2.15.0
keras 2.15.0
tf-keras 2.15.0
retvec 1.0.1
Using methods:
Init the model state:

Using the model state inference:
