Tensorflow Probability: Saving And Loading Model

I am trying to fit a model with TensorFlow probability, for example: input = Input(shape=(32,32,32,3)) x = tfp.layers.Convolution3DReparameterization( 64, kernel_size=5, pa

Solution 1:

The bug in your code is data_format = channels_first

You are giving input shape of (32,32,32,3) which is channel_last type data. providing edited code

import keras as tk
import tensorflow as tf
import tensorflow_probability as tfp
input = tf.keras.Input(shape=(32,32,32,3))
x = tfp.layers.Convolution3DReparameterization(
        64, kernel_size=5, padding='SAME', activation=tf.nn.relu,
        data_format = 'channels_last')(input) #changed  from channels_first
x = tf.keras.layers.MaxPooling3D(pool_size=(2, 2, 2),
                                 strides=(2, 2, 2),
                                 padding='SAME')(x)
x = tf.keras.layers.Flatten()(x)
output = tfp.layers.DenseFlipout(10)(x)

model3 = tk.Model(input, output)
model3.save('tf_test_model3.h5')