message: Updated method references in [predict,test,train]_step docstrings
diff: @@ -475,7 +475,7 @@ class Model(network.Network, version_utils.ModelVersionSelector):
  """The logic for one training step.
  This method can be overridden to support custom training logic.
  - This method is called by `Model._make_train_function`.
  + This method is called by `Model.make_train_function`.
  This method should contain the mathemetical logic for one step of training.
  This typically includes the forward pass, loss calculation, backpropagation,
  @@ -483,7 +483,7 @@ class Model(network.Network, version_utils.ModelVersionSelector):
  Configuration details for *how* this logic is run (e.g. `tf.function` and
  `tf.distribute.Strategy` settings), should be left to
  - `Model._make_train_function`, which can also be overridden.
  + `Model.make_train_function`, which can also be overridden.
  Arguments:
  data: A nested structure of `Tensor`s.
  @@ -888,7 +888,7 @@ class Model(network.Network, version_utils.ModelVersionSelector):
  """The logic for one evaluation step.
  This method can be overridden to support custom evaluation logic.
  - This method is called by `Model._make_test_function`.
  + This method is called by `Model.make_test_function`.
  This function should contain the mathemetical logic for one step of
  evaluation.
  @@ -897,7 +897,7 @@ class Model(network.Network, version_utils.ModelVersionSelector):
  Configuration details for *how* this logic is run (e.g. `tf.function` and
  `tf.distribute.Strategy` settings), should be left to
  - `Model._make_test_function`, which can also be overridden.
  + `Model.make_test_function`, which can also be overridden.
  Arguments:
  data: A nested structure of `Tensor`s.
  @@ -1125,14 +1125,14 @@ class Model(network.Network, version_utils.ModelVersionSelector):
  """The logic for one inference step.
  This method can be overridden to support custom inference logic.
  - This method is called by `Model._make_predict_function`.
  + This method is called by `Model.make_predict_function`.
  This method should contain the mathemetical logic for one step of inference.
  This typically includes the forward pass.
  Configuration details for *how* this logic is run (e.g. `tf.function` and
  `tf.distribute.Strategy` settings), should be left to
  - `Model._make_predict_function`, which can also be overridden.
  + `Model.make_predict_function`, which can also be overridden.
  Arguments:
  data: A nested structure of `Tensor`s.
  