diff options
Diffstat (limited to 'tensorflow/python/training/optimizer.py')
| -rw-r--r-- | tensorflow/python/training/optimizer.py | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/tensorflow/python/training/optimizer.py b/tensorflow/python/training/optimizer.py index 2091687e7c..a4b8aaba2a 100644 --- a/tensorflow/python/training/optimizer.py +++ b/tensorflow/python/training/optimizer.py @@ -142,7 +142,7 @@ class Optimizer(object): for the optimizer. Raises: - ValueError: if name is malformed. + ValueError: If name is malformed. """ if not name: raise ValueError("Must specify the optimizer name") @@ -179,7 +179,7 @@ class Optimizer(object): was not `None`, that operation also increments `global_step`. Raises: - ValueError: if some of the variables are not `Variable` objects. + ValueError: If some of the variables are not `Variable` objects. """ grads_and_vars = self.compute_gradients( loss, var_list=var_list, gate_gradients=gate_gradients, @@ -255,8 +255,8 @@ class Optimizer(object): was not None, that operation also increments `global_step`. Raises: - TypeError: if `grads_and_vars` is malformed. - ValueError: if none of the variables have gradients. + TypeError: If `grads_and_vars` is malformed. + ValueError: If none of the variables have gradients. """ # This is a default implementation of apply_gradients() that can be shared # by most optimizers. It relies on the subclass implementing the following @@ -331,9 +331,10 @@ class Optimizer(object): """Asserts tensors are all valid types (see `_valid_dtypes`). Args: - tensors: tensors to check. + tensors: Tensors to check. + Raises: - ValueError: if any tensor is not a valid type. + ValueError: If any tensor is not a valid type. """ valid_dtypes = self._valid_dtypes() for t in tensors: @@ -408,7 +409,7 @@ class Optimizer(object): update_ops: List of `Operation` objects to update variables. This list contains the values returned by the `_apply_dense()` and `_apply_sparse()` calls. - name_scope: string. Name to use for the returned operation. + name_scope: String. Name to use for the returned operation. Returns: The operation to apply updates. |