message: tf.zeros doesn't accept a tensor argument
  ValueError: Shape must be rank 1 but is rank 0 for 'zeros_2' (op: 'Fill') with input shapes: [], [].
diff: @@ -197,7 +197,7 @@ For example, here is how to make a vector of zeros with the same size as the
  number of columns in a given matrix:
  ``` python
  -zeros = tf.zeros(tf.shape(my_matrix)[1])
  +zeros = tf.zeros(my_matrix.shape[1])
  ```
  ### Changing the shape of a `tf.Tensor`
  