I’m browsing the documentation around
tf.saved_model.save (docs) does:
Exports the Trackable object obj to SavedModel format.
What is a trackable object, I have not been able to find anything regarding this. Except for my PyCharm debugger printing it.
I am reading the documentation because I need to understand how SavedModels work. I’ve tried to load some SavedModels and subsequently convert these to TensorFlow lite/ coreML. Things are not going well in this respect, and I’m completely lost there so I won’t bother mentioning it much detail in this question.
I also had the same question and I looked for the answer. Here is the answer. Directly quoting from the documentation:
TensorFlow objects may contain trackable state, such as tf.Variables, tf.keras.optimizers.Optimizer implementations, tf.data.Dataset iterators,
tf.keras.Layer implementations, or tf.keras.Model implementations. These are called trackable objects.
Answered By – M.Innat