@@ -108,12 +108,12 @@ GradientClipByNorm
108108
109109.. code-block :: python
110110
111- w_param_attrs = ParamAttr(name = None ,
112- initializer = UniformInitializer(low = - 1.0 , high = 1.0 , seed = 0 ),
111+ w_param_attrs = fluid. ParamAttr(name = None ,
112+ initializer = fluid.initializer. UniformInitializer(low = - 1.0 , high = 1.0 , seed = 0 ),
113113 learning_rate = 1.0 ,
114- regularizer = L1Decay(1.0 ),
114+ regularizer = fluid.regularizer. L1Decay(1.0 ),
115115 trainable = True ,
116- clip = GradientClipByNorm(clip_norm = 2.0 ))
116+ clip = fluid.clip. GradientClipByNorm(clip_norm = 2.0 ))
117117 y_predict = fluid.layers.fc(input = x, size = 1 , param_attr = w_param_attrs)
118118
119119
@@ -147,12 +147,12 @@ GradientClipByValue
147147
148148.. code-block :: python
149149
150- w_param_attrs = ParamAttr(name = None ,
151- initializer = UniformInitializer(low = - 1.0 , high = 1.0 , seed = 0 ),
150+ w_param_attrs = fluid. ParamAttr(name = None ,
151+ initializer = fluid.initializer. UniformInitializer(low = - 1.0 , high = 1.0 , seed = 0 ),
152152 learning_rate = 1.0 ,
153- regularizer = L1Decay(1.0 ),
153+ regularizer = fluid.regualrizer. L1Decay(1.0 ),
154154 trainable = True ,
155- clip = GradientClipByValue(- 1.0 , 1.0 ))
155+ clip = fluid.clip. GradientClipByValue(- 1.0 , 1.0 ))
156156 y_predict = fluid.layers.fc(input = x, size = 1 , param_attr = w_param_attrs)
157157
158158
0 commit comments