message: Update tf.squeeze description.
diff: @@ -3611,17 +3611,17 @@ def squeeze(input, axis=None, name=None, squeeze_dims=None):
  For example:
  - ```python
  - # 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
  - tf.shape(tf.squeeze(t)) # [2, 3]
  - ```
  + >>> # 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
  + >>> t = tf.ones([1, 2, 1, 3, 1, 1])
  + >>> print(tf.shape(tf.squeeze(t)).numpy())
  + [2 3]
  Or, to remove specific size 1 dimensions:
  - ```python
  - # 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
  - tf.shape(tf.squeeze(t, [2, 4])) # [1, 2, 3, 1]
  - ```
  + >>> # 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
  + >>> t = tf.ones([1, 2, 1, 3, 1, 1])
  + >>> print(tf.shape(tf.squeeze(t, [2, 4])).numpy())
  + [1 2 3 1]
  Note: if `input` is a `tf.RaggedTensor`, then this operation takes `O(N)`
  time, where `N` is the number of elements in the squeezed dimensions.
  