README.md

Addons - Layers

Maintainers

Submodule	Maintainers	Contact Info
gelu	@AakashKumarNain	[email protected]
maxout	@fsx950223	[email protected]
normalizations	@smokrow	[email protected]
opticalflow	@fsx950223	[email protected]
poincare	@rahulunair	[email protected]
sparsemax	@AndreasMadsen	[email protected]
wrappers	@seanpmorgan	[email protected]

Components

Submodule	Layer	Reference
gelu	GeLU	https://arxiv.org/abs/1606.08415
maxout	Maxout	https://arxiv.org/abs/1302.4389
normalizations	GroupNormalization	https://arxiv.org/abs/1803.08494
normalizations	InstanceNormalization	https://arxiv.org/abs/1607.08022
opticalflow	CorrelationCost	https://arxiv.org/abs/1504.06852
poincare	PoincareNormalize	https://arxiv.org/abs/1705.08039
sparsemax	Sparsemax	https://arxiv.org/abs/1602.02068
wrappers	WeightNormalization	https://arxiv.org/abs/1602.07868

Contribution Guidelines

Standard API

In order to conform with the current API standard, all layers must:

• Inherit from either keras.layers.Layer or its subclasses.
• Register as a keras global object so it can be serialized properly: @tf.keras.utils.register_keras_serializable(package='Addons')
• Add the addon to the py_library in this sub-package's BUILD file.

Testing Requirements

• Simple unittests that demonstrate the layer is behaving as expected.
• When applicable, run all unittests with TensorFlow's @run_in_graph_and_eager_modes (for test method) or run_all_in_graph_and_eager_modes (for TestCase subclass) decorator.
• Run layer_test on the layer.
• Add a py_test to this sub-package's BUILD file.

Documentation Requirements

• Update the table of contents in this sub-package's README.