message: Updated an example for reduce_euclidean_norm
  Updated an incorrect example as reported in
diff: @@ -1768,12 +1768,14 @@ def reduce_euclidean_norm(input_tensor, axis=None, keepdims=False, name=None):
  For example:
  ```python
  - x = tf.constant([[1, 2, 3], [1, 1, 1]])
  - tf.reduce_euclidean_norm(x) # sqrt(17)
  - tf.reduce_euclidean_norm(x, 0) # [sqrt(2), sqrt(5), sqrt(10)]
  - tf.reduce_euclidean_norm(x, 1) # [sqrt(14), sqrt(3)]
  - tf.reduce_euclidean_norm(x, 1, keepdims=True) # [[sqrt(14)], [sqrt(3)]]
  - tf.reduce_euclidean_norm(x, [0, 1]) # sqrt(17)
  + x = tf.constant([[1, 2, 3], [1, 1, 1]]) # x.dtype is tf.int32
  + tf.math.reduce_euclidean_norm(x) # returns 4 as dtype is tf.int32
  + y = tf.constant([[1, 2, 3], [1, 1, 1]], dtype = tf.float32)
  + tf.math.reduce_euclidean_norm(y) # returns 4.1231055 which is sqrt(17)
  + tf.math.reduce_euclidean_norm(y, 0) # [sqrt(2), sqrt(5), sqrt(10)]
  + tf.math.reduce_euclidean_norm(y, 1) # [sqrt(14), sqrt(3)]
  + tf.math.reduce_euclidean_norm(y, 1, keepdims=True) # [[sqrt(14)], [sqrt(3)]]
  + tf.math.reduce_euclidean_norm(y, [0, 1]) # sqrt(17)
  ```
  Args:
  