python函数在Tensorflow中不起作用: tf.contrib.layers.apply_regularization

Question

我的功能是：

def groupl1(x):
    return tf.reduce_sum(tf.sqrt(tf.to_float(x.get_shape()[1])) * tf.sqrt(tf.reduce_sum(x ** 2, axis=1)))

当我把它放到我的代码中时：

elif loss == 'rmse,gl':
weightss=tf.trainable_variables()
reg=tf.contrib.layers.apply_regularization(groupl1,weightss)
loss =  tf.sqrt(tf.reduce_mean(tf.square(tf.subtract(x_, decoded)))
                        )+reg*0.0001

它在出现错误时不起作用：

Traceback (most recent call last):
File "L1_02.py", line 45, in <module>
train_X_=model.fit_transform(train_X)
File "/home/hjson/tmp/BRCA/libsdae/stacked_autoencoder.py", line 93, in fit_transform
self.fit(x)
File "/home/hjson/tmp/BRCA/libsdae/stacked_autoencoder.py", line 70, in fit
print_step=self.print_step, lambda_=self.lambda_)
File "/home/hjson/tmp/BRCA/libsdae/stacked_autoencoder.py", line 138, in run
reg=tf.contrib.layers.apply_regularization(groupl1,weightss)
NameError: global name 'groupl1' is not defined

我之所以感到困惑，是因为我在代码中清楚地说明了groupl1函数。我的问题出在哪里？

Answer 1

只是猜测一下，您是否在调用之前定义了函数

def groupl1(x):
    return ...

.
.
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groupl1(example_input)