I want to convert this composite model with this hierarchy into the individual Keras ops so that it can be converted to another format.
KWSTransformer(tf.keras.Model)
ConvolutionBlock(tf.keras.layers.Layer)
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# Vision transformer implementation based on https://github.com/tuvovan/Vision_Transformer_Keras/blob/master/vit.py
import tensorflow as tf
import tensorflow_addons as tfa
from tensorflow.keras.layers import (
Dense,
show original
Is that possible to do automatically? You can get the nodes and connectivity of KWSTransformer using KWSTransformer.layers[n].outbound_nodes. But only for non-composite layers. There seems to be no way to get the underlying nodes of ConvolutionBlock?