ValueError: `to_annotate` can only be a `keras.layers.Layer` instance. You passed an instance of type: Dense.

[ningjingzhiwei]

import tensorflow as tf from tensorflow.keras import layers, models import tensorflow_model_optimization as tfmot

Use quantize_annotate_layer to annotate that the Dense layer

should be quantized.

input_shape = (20,) annotated_model = tf.keras.Sequential([ tfmot.quantization.keras.quantize_annotate_layer(tf.keras.layers.Dense(20, input_shape=input_shape)), tf.keras.layers.Flatten() ])

Use quantize_apply to actually make the model quantization aware.

quant_aware_model = tfmot.quantization.keras.quantize_apply(annotated_model) quant_aware_model.summary()

when run the above code, error appears:"ValueError: to_annotate can only be a keras.layers.Layer instance. You passed an instance of type: Dense." Can anyone find the way to fix it? Thanks a lot