message: Simple fixes for documentation on tf.nn.softmax_cross_entropy_with_logits (and v2).
diff: @@ -1808,7 +1808,7 @@ def softmax_cross_entropy_with_logits_v2(
  or `float64`).
  Backpropagation will happen into both `logits` and `labels`. To disallow
  - backpropagation into `labels`, pass label tensors through a `stop_gradients`
  + backpropagation into `labels`, pass label tensors through @{tf.stop_gradient}
  before feeding it to this function.
  **Note that to avoid confusion, it is required to pass only named arguments to
  @@ -1895,7 +1895,7 @@ _XENT_DEPRECATION = """
  Future major versions of TensorFlow will allow gradients to flow
  into the labels input on backprop by default.
  -See tf.nn.softmax_cross_entropy_with_logits_v2.
  +See @{tf.nn.softmax_cross_entropy_with_logits_v2}.
  """
  