Get different result when learn the guide about Learnable Distributions Zoo

When I learn the guide about Learnable Distributions Zoo, I get a different result from the Guide.

learnable_mvndiag = tfd.Independent(
tfd.Normal(
loc=tf.Variable(tf.zeros(event_size), name='loc'),
scale=tfp.util.TransformedVariable(
tf.ones(event_size),
bijector=tfb.Softplus()), # Use Softplus...cuz why not?
name='scale'),
reinterpreted_batch_ndims=1,
name='learnable_mvn_diag')

print(learnable_mvndiag)
print(learnable_mvndiag.trainable_variables)

The result I get :

tfp.distributions.Independent("learnable_mvn_diag", batch_shape=[], event_shape=[4], dtype=float32)
(<tf.Variable 'loc:0' shape=(4,) dtype=float32, numpy=array([0., 0., 0., 0.], dtype=float32)>, <tf.Variable 'Variable:0' shape=(4,) dtype=float32, numpy=array([0.54132485, 0.54132485, 0.54132485, 0.54132485], dtype=float32)>)

While be given in the Guide:

tfp.distributions.Independent("learnable_mvn_diag", batch_shape=[], event_shape=[4], dtype=float32)
(<tf.Variable 'Variable:0' shape=(4,) dtype=float32, numpy=array([0., 0., 0., 0.], dtype=float32)>, <tf.Variable 'Variable:0' shape=(4,) dtype=float32, numpy=array([0., 0., 0., 0.], dtype=float32)>)

numpy of the tf.Variable 'Variable:0' is different, why? Can anyone help me?

Start with the Learnable Distributions Zoo guide and reproduce the shown snippet, comparing its displayed variables and values with the reported output. Check the TensorFlow Probability and TensorFlow versions used; done means identifying whether the guide or runtime behavior is inconsistent and documenting the confirmed result or required guide correction.