message: Small doc-string fixes for tf.constant.
diff: @@ -169,9 +169,9 @@ def constant(value, dtype=None, shape=None, name="Const"):
  Note: All eager `tf.Tensor` values are immutable (in contrast to
  `tf.Variable`). There is nothing especially _constant_ about the value
  - returned from `tf.constant`. This function it is not fundamentally different
  - from `tf.convert_to_tensor`. The name `tf.constant` comes from the `value`
  - being embeded in a `Const` node in the `tf.Graph`. `tf.constant` is useful
  + returned from `tf.constant`. This function is not fundamentally different from
  + `tf.convert_to_tensor`. The name `tf.constant` comes from the `value` being
  + embedded in a `Const` node in the `tf.Graph`. `tf.constant` is useful
  for asserting that the value can be embedded that way.
  If the argument `dtype` is not specified, then the type is inferred from
  @@ -188,7 +188,7 @@ def constant(value, dtype=None, shape=None, name="Const"):
  array([[1, 2, 3],
  [4, 5, 6]])>
  - If `dtype` is specified the resulting tensor values are cast to the requested
  + If `dtype` is specified, the resulting tensor values are cast to the requested
  `dtype`.
  >>> tf.constant([1, 2, 3, 4, 5, 6], dtype=tf.float64)
  