Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow_addons/layers/snake.py: 61%

1# Copyright 2020 The TensorFlow Authors. All Rights Reserved. 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================== 

15"""Implements Snake layer.""" 

16 

17import tensorflow as tf 

18from typeguard import typechecked 

19 

20from tensorflow_addons.activations.snake import snake 

21 

22from tensorflow_addons.utils import types 

23 

24 

25@tf.keras.utils.register_keras_serializable(package="Addons") 

26class Snake(tf.keras.layers.Layer): 

27 """Snake layer to learn periodic functions with the trainable `frequency` scalar. 

28 

29 See [Neural Networks Fail to Learn Periodic Functions and How to Fix It](https://arxiv.org/abs/2006.08195). 

30 

31 Args: 

32 frequency_initializer: Initializer for the `frequency` scalar. 

33 """ 

34 

35 @typechecked 

36 def __init__(self, frequency_initializer: types.Initializer = "ones", **kwargs): 

37 super().__init__(**kwargs) 

38 self.frequency_initializer = tf.keras.initializers.get(frequency_initializer) 

39 self.frequency = self.add_weight( 

40 initializer=frequency_initializer, trainable=True 

41 ) 

42 

43 def call(self, inputs): 

44 return snake(inputs, self.frequency) 

45 

46 def get_config(self): 

47 config = { 

48 "frequency_initializer": tf.keras.initializers.serialize( 

49 self.frequency_initializer 

50 ), 

51 } 

52 base_config = super().get_config() 

53 return {**base_config, **config}