<jupyter_start><jupyter_text>Rationale*TODO*<jupyter_code>random_tensor = K.random_normal(shape=(8, 3), seed=42)
K.eval(random_tensor)
K.eval(random_tensor)
x = Input(shape=(784,))
eps = Input(tensor=K.random_normal(shape=(K.shape(x)[0], 3), seed=42))
try:
    m = Model(x, eps)
except RuntimeError as e:
    print(e)
m = Model([x, eps], eps)
m.predict(np.ones((8, 784)))
m.predict([np.ones((8, 784))])
try:
    m.predict([np.ones((8, 784)), np.ones((8, 3))])
except ValueError as e:
    print(e)<jupyter_output>Error when checking model : the list of Numpy arrays that you are passing to your model is not the size the model expected. Expected to see 1 array(s), but instead got the following list of 2 arrays: [array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
       [ 1.,  1.,  1., ...,  1.,  1.,  1.],
       [ 1.,  1.,  1., ...,  1.,  1.,  1.],
       ..., 
       [ 1.,  1.,  1., ...,  1.,  1.,  1.],
       [ 1...
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