Created by: jshower

你好，我在进行fulid下的实验时，没有找到fulid下使用正则项的例子。能否提供一个使用正则项的例子，感觉还是很有必要的。 我试着用了一下正则项

 optimizer = fluid.optimizer.Momentum(
        momentum=0.0,
        learning_rate=2e-4,
        regularization=fluid.regularizer.L2DecayRegularizer(regularization_coeff=0.1)
        )

结果爆出了后面的错误。

Traceback (most recent call last):
  File "train.py", line 136, in <module>
    num_passes=1000)
  File "train.py", line 72, in main
    sgd_optimizer.minimize(avg_cost)
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/fluid/optimizer.py", line 234, in minimize
    self.regularization)
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/fluid/regularizer.py", line 65, in append_regularization_ops
    outputs={"Out": grad})
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/fluid/framework.py", line 801, in append_op
    op = Operator(self, op_desc, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/paddle/v2/fluid/framework.py", line 501, in __init__
    self.desc.infer_shape(self.block.desc)
paddle.v2.fluid.core.EnforceNotMet: enforce x_dim.size() >= y_dim.size() failed, 1 < 2