Clarify delayed_update docstring regarding global step increments
@@ -193,7 +193,8 @@ def delayed_update(optimizer, grads_and_vars, global_step, accum_count=1):
Args:
optimizer: The optimizer.
grads_and_vars: List of (gradient, variable) pairs.
- global_step: The current training step.
+ global_step: The training step that will be increased when the parameters
+ are updated.
accum_count: The number of times to accumulate gradients, as a constant or
a ``tf.Tensor``.
