message: [core API doc fixit] tf.math.reduce_min; updated the API doc with more examples.
diff: @@ -2631,6 +2631,32 @@ def reduce_min(input_tensor, axis=None, keepdims=False, name=None):
  If `axis` is None, all dimensions are reduced, and a
  tensor with a single element is returned.
  + For example:
  +
  + >>> a = tf.constant([
  + ... [[1, 2], [3, 4]],
  + ... [[1, 2], [3, 4]]
  + ... ])
  + >>> tf.reduce_min(a)
  + <tf.Tensor: shape=(), dtype=int32, numpy=1>
  +
  + Choosing a specific axis returns minimum element in the given axis:
  +
  + >>> b = tf.constant([[1, 2, 3], [4, 5, 6]])
  + >>> tf.reduce_min(b, axis=0)
  + <tf.Tensor: shape=(3,), dtype=int32, numpy=array([1, 2, 3], dtype=int32)>
  + >>> tf.reduce_min(b, axis=1)
  + <tf.Tensor: shape=(2,), dtype=int32, numpy=array([1, 4], dtype=int32)>
  +
  + Setting `keepdims` to `True` retains the dimension of `input_tensor`:
  +
  + >>> tf.reduce_min(a, keepdims=True)
  + <tf.Tensor: shape=(1, 1, 1), dtype=int32, numpy=array([[[1]]], dtype=int32)>
  + >>> tf.math.reduce_min(a, axis=0, keepdims=True)
  + <tf.Tensor: shape=(1, 2, 2), dtype=int32, numpy=
  + array([[[1, 2],
  + [3, 4]]], dtype=int32)>
  +
  Args:
  input_tensor: The tensor to reduce. Should have real numeric type.
  axis: The dimensions to reduce. If `None` (the default), reduces all
  @@ -2642,11 +2668,6 @@ def reduce_min(input_tensor, axis=None, keepdims=False, name=None):
  Returns:
  The reduced tensor.
  - For example:
  - >>> a = tf.constant([[1, 2], [3, 4]])
  - >>> tf.reduce_min(a)
  - <tf.Tensor: shape=(), dtype=int32, numpy=1>
  -
  @compatibility(numpy)
  Equivalent to np.min
  @end_compatibility
  