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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"""Keras initializers for TF 1.""" 

16 

17from tensorflow.python.framework import dtypes 

18from tensorflow.python.ops import init_ops 

19from tensorflow.python.util.tf_export import keras_export 

20 

21 

22_v1_zeros_initializer = init_ops.Zeros 

23_v1_ones_initializer = init_ops.Ones 

24_v1_constant_initializer = init_ops.Constant 

25_v1_variance_scaling_initializer = init_ops.VarianceScaling 

26_v1_orthogonal_initializer = init_ops.Orthogonal 

27_v1_identity = init_ops.Identity 

28_v1_glorot_uniform_initializer = init_ops.GlorotUniform 

29_v1_glorot_normal_initializer = init_ops.GlorotNormal 

30 

31keras_export(v1=['keras.initializers.Zeros', 'keras.initializers.zeros'])( 

32 _v1_zeros_initializer) 

33keras_export(v1=['keras.initializers.Ones', 'keras.initializers.ones'])( 

34 _v1_ones_initializer) 

35keras_export(v1=['keras.initializers.Constant', 'keras.initializers.constant'])( 

36 _v1_constant_initializer) 

37keras_export(v1=['keras.initializers.VarianceScaling'])( 

38 _v1_variance_scaling_initializer) 

39keras_export(v1=['keras.initializers.Orthogonal', 

40 'keras.initializers.orthogonal'])(_v1_orthogonal_initializer) 

41keras_export(v1=['keras.initializers.Identity', 

42 'keras.initializers.identity'])(_v1_identity) 

43keras_export(v1=['keras.initializers.glorot_uniform'])( 

44 _v1_glorot_uniform_initializer) 

45keras_export(v1=['keras.initializers.glorot_normal'])( 

46 _v1_glorot_normal_initializer) 

47 

48 

49@keras_export(v1=['keras.initializers.RandomNormal', 

50 'keras.initializers.random_normal', 

51 'keras.initializers.normal']) 

52class RandomNormal(init_ops.RandomNormal): 

53 

54 def __init__(self, mean=0.0, stddev=0.05, seed=None, dtype=dtypes.float32): 

55 super(RandomNormal, self).__init__( 

56 mean=mean, stddev=stddev, seed=seed, dtype=dtype) 

57 

58 

59@keras_export(v1=['keras.initializers.RandomUniform', 

60 'keras.initializers.random_uniform', 

61 'keras.initializers.uniform']) 

62class RandomUniform(init_ops.RandomUniform): 

63 

64 def __init__(self, minval=-0.05, maxval=0.05, seed=None, 

65 dtype=dtypes.float32): 

66 super(RandomUniform, self).__init__( 

67 minval=minval, maxval=maxval, seed=seed, dtype=dtype) 

68 

69 

70@keras_export(v1=['keras.initializers.TruncatedNormal', 

71 'keras.initializers.truncated_normal']) 

72class TruncatedNormal(init_ops.TruncatedNormal): 

73 

74 def __init__(self, mean=0.0, stddev=0.05, seed=None, dtype=dtypes.float32): 

75 super(TruncatedNormal, self).__init__( 

76 mean=mean, stddev=stddev, seed=seed, dtype=dtype) 

77 

78 

79@keras_export(v1=['keras.initializers.lecun_normal']) 

80class LecunNormal(init_ops.VarianceScaling): 

81 

82 def __init__(self, seed=None): 

83 super(LecunNormal, self).__init__( 

84 scale=1., mode='fan_in', distribution='truncated_normal', seed=seed) 

85 

86 def get_config(self): 

87 return {'seed': self.seed} 

88 

89 

90@keras_export(v1=['keras.initializers.lecun_uniform']) 

91class LecunUniform(init_ops.VarianceScaling): 

92 

93 def __init__(self, seed=None): 

94 super(LecunUniform, self).__init__( 

95 scale=1., mode='fan_in', distribution='uniform', seed=seed) 

96 

97 def get_config(self): 

98 return {'seed': self.seed} 

99 

100 

101@keras_export(v1=['keras.initializers.he_normal']) 

102class HeNormal(init_ops.VarianceScaling): 

103 

104 def __init__(self, seed=None): 

105 super(HeNormal, self).__init__( 

106 scale=2., mode='fan_in', distribution='truncated_normal', seed=seed) 

107 

108 def get_config(self): 

109 return {'seed': self.seed} 

110 

111 

112@keras_export(v1=['keras.initializers.he_uniform']) 

113class HeUniform(init_ops.VarianceScaling): 

114 

115 def __init__(self, seed=None): 

116 super(HeUniform, self).__init__( 

117 scale=2., mode='fan_in', distribution='uniform', seed=seed) 

118 

119 def get_config(self): 

120 return {'seed': self.seed}