message: Remove note about accumulator variables, since those are not added to TRAINABLE_VARIABLES.
diff: @@ -117,21 +117,13 @@ class WarmStartSettings(
  ws = WarmStartSettings(ckpt_to_initialize_from="/tmp/model-1000")
  ```
  - Warm-start only the embeddings (input layer) and their accumulator variables:
  + Warm-start only the embeddings (input layer):
  ```
  ws = WarmStartSettings(ckpt_to_initialize_from="/tmp",
  vars_to_warm_start=".*input_layer.*")
  ```
  - Warm-start everything except the optimizer accumulator variables
  - (DNN defaults to Adagrad):
  -
  - ```
  - ws = WarmStartSettings(ckpt_to_initialize_from="/tmp",
  - vars_to_warm_start="^(?!.*(Adagrad))")
  - ```
  -
  Warm-start all weights but the embedding parameters corresponding to
  `sc_vocab_file` have a different vocab from the one used in the current
  model:
  @@ -423,6 +415,8 @@ def _warm_start(warm_start_settings):
  # Both warm_start_settings.vars_to_warm_start = '.*' and
  # warm_start_settings.vars_to_warm_start = None will match everything here.
  for v in ops.get_collection(
  + # TODO(eddz): Allow for different collections here (to support
  + # warm-starting accumulators).
  ops.GraphKeys.TRAINABLE_VARIABLES,
  scope=warm_start_settings.vars_to_warm_start):
  if not isinstance(v, list):
  