I want to create two models with the same architecture and exactly the same weights using the tf.layers.dense

```
m1 = tf.layers.dense(input, units=10, activation='relu', name='m1')
m2 = tf.layers.dense(input, units=10, activation='relu', name='m2')

```

How can I set m2 weights and biases to be the same as m1? (same values, not shared weights, so when training m1, m2 weights will not change and vice versa)