Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 0 additions & 6 deletions tensorflow_addons/optimizers/cyclical_learning_rate.py
Original file line number Diff line number Diff line change
Expand Up @@ -117,7 +117,6 @@ def __init__(
initial_learning_rate: Union[FloatTensorLike, Callable],
maximal_learning_rate: Union[FloatTensorLike, Callable],
step_size: FloatTensorLike,
scale_fn: Callable,
scale_mode: str = "cycle",
name: str = "TriangularCyclicalLearningRate",
):
Expand Down Expand Up @@ -154,7 +153,6 @@ def __init__(
a Python number. The maximum learning rate.
step_size: A scalar `float32` or `float64` `Tensor` or a
Python number. Step size.
scale_fn: A function. Scheduling function applied in cycle
scale_mode: ['cycle', 'iterations']. Mode to apply during cyclic
schedule
name: (Optional) Name for the operation.
Expand All @@ -180,7 +178,6 @@ def __init__(
initial_learning_rate: Union[FloatTensorLike, Callable],
maximal_learning_rate: Union[FloatTensorLike, Callable],
step_size: FloatTensorLike,
scale_fn: Callable,
scale_mode: str = "cycle",
name: str = "Triangular2CyclicalLearningRate",
):
Expand Down Expand Up @@ -217,7 +214,6 @@ def __init__(
a Python number. The maximum learning rate.
step_size: A scalar `float32` or `float64` `Tensor` or a
Python number. Step size.
scale_fn: A function. Scheduling function applied in cycle
scale_mode: ['cycle', 'iterations']. Mode to apply during cyclic
schedule
name: (Optional) Name for the operation.
Expand All @@ -243,7 +239,6 @@ def __init__(
initial_learning_rate: Union[FloatTensorLike, Callable],
maximal_learning_rate: Union[FloatTensorLike, Callable],
step_size: FloatTensorLike,
scale_fn: Callable,
scale_mode: str = "iterations",
gamma: FloatTensorLike = 1.0,
name: str = "ExponentialCyclicalLearningRate",
Expand Down Expand Up @@ -282,7 +277,6 @@ def __init__(
a Python number. The maximum learning rate.
step_size: A scalar `float32` or `float64` `Tensor` or a
Python number. Step size.
scale_fn: A function. Scheduling function applied in cycle
scale_mode: ['cycle', 'iterations']. Mode to apply during cyclic
schedule
gamma: A scalar `float32` or `float64` `Tensor` or a
Expand Down