Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/keras/src/layers/merging/add.py: 62%

1# Copyright 2015 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"""Layer that adds several inputs.""" 

16 

17 

18from keras.src.layers.merging.base_merge import _Merge 

19 

20# isort: off 

21from tensorflow.python.util.tf_export import keras_export 

22 

23 

24@keras_export("keras.layers.Add") 

25class Add(_Merge): 

26 """Layer that adds a list of inputs. 

27 

28 It takes as input a list of tensors, 

29 all of the same shape, and returns 

30 a single tensor (also of the same shape). 

31 

32 Examples: 

33 

34 >>> input_shape = (2, 3, 4) 

35 >>> x1 = tf.random.normal(input_shape) 

36 >>> x2 = tf.random.normal(input_shape) 

37 >>> y = tf.keras.layers.Add()([x1, x2]) 

38 >>> print(y.shape) 

39 (2, 3, 4) 

40 

41 Used in a functional model: 

42 

43 >>> input1 = tf.keras.layers.Input(shape=(16,)) 

44 >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1) 

45 >>> input2 = tf.keras.layers.Input(shape=(32,)) 

46 >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2) 

47 >>> # equivalent to `added = tf.keras.layers.add([x1, x2])` 

48 >>> added = tf.keras.layers.Add()([x1, x2]) 

49 >>> out = tf.keras.layers.Dense(4)(added) 

50 >>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out) 

51 

52 """ 

53 

54 def _merge_function(self, inputs): 

55 output = inputs[0] 

56 for i in range(1, len(inputs)): 

57 output += inputs[i] 

58 return output 

59 

60 

61@keras_export("keras.layers.add") 

62def add(inputs, **kwargs): 

63 """Functional interface to the `tf.keras.layers.Add` layer. 

64 

65 Args: 

66 inputs: A list of input tensors with the same shape. 

67 **kwargs: Standard layer keyword arguments. 

68 

69 Returns: 

70 A tensor as the sum of the inputs. It has the same shape as the inputs. 

71 

72 Examples: 

73 

74 >>> input_shape = (2, 3, 4) 

75 >>> x1 = tf.random.normal(input_shape) 

76 >>> x2 = tf.random.normal(input_shape) 

77 >>> y = tf.keras.layers.add([x1, x2]) 

78 >>> print(y.shape) 

79 (2, 3, 4) 

80 

81 Used in a functional model: 

82 

83 >>> input1 = tf.keras.layers.Input(shape=(16,)) 

84 >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1) 

85 >>> input2 = tf.keras.layers.Input(shape=(32,)) 

86 >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2) 

87 >>> added = tf.keras.layers.add([x1, x2]) 

88 >>> out = tf.keras.layers.Dense(4)(added) 

89 >>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out) 

90 

91 """ 

92 return Add(**kwargs)(inputs) 

93