dcn添加偏置,出现Nan错误
Created by: lijun900302
_**paddle.fluid.core.EnforceNotMet:**_ Invoke operator auc error.
Python Callstacks: File "/usr/lib64/python2.7/site-packages/paddle/fluid/framework.py", line 1712, in append_op attrs=kwargs.get("attrs", None)) File "/usr/lib64/python2.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op return self.main_program.current_block().append_op(*args, **kwargs) File "/usr/lib64/python2.7/site-packages/paddle/fluid/layers/metric_op.py", line 172, in auc "StatNegOut": [batch_stat_neg] File "dcn1.py", line 221, in ctr_wide_deep_model auc_var, batch_auc_var, auc_states = fluid.layers.auc(input=predict, label=label) File "dcn1.py", line 238, in train datas, predict, loss, auc, auc_batch = ctr_wide_deep_model() File "dcn1.py", line 369, in train() C++ Callstacks: Enforce failed. Expected predict_data <= 1, but received predict_data:-nan > 1:1. The predict data must less or equal 1. at [/home/amy/eason/install/Paddle/paddle/fluid/operators/metrics/auc_op.h:80] PaddlePaddle Call Stacks: