Check failed: num_priors_ * num_classes_ == bottom[1]->channels()

[gongdalinux]

I use the command './train.sh' to train my datasets. The issue is

F0117 21:34:50.957195 1386 multibox_loss_layer.cpp:141] Check failed: num_priors_ * num_classes_ == bottom[1]->channels() (44091 vs. 41925) Number of priors must match number of confidence predictions. *** Check failure stack trace: *** @ 0x7f11efa7d5cd google::LogMessage::Fail() @ 0x7f11efa7f433 google::LogMessage::SendToLog() @ 0x7f11efa7d15b google::LogMessage::Flush() @ 0x7f11efa7fe1e google::LogMessageFatal::~LogMessageFatal() @ 0x7f11f0323a02 caffe::MultiBoxLossLayer<>::Reshape() @ 0x7f11f0388933 caffe::Net<>::Init() @ 0x7f11f038a161 caffe::Net<>::Net() @ 0x7f11f01be78a caffe::Solver<>::InitTrainNet() @ 0x7f11f01bfa87 caffe::Solver<>::Init() @ 0x7f11f01bfe2a caffe::Solver<>::Solver() @ 0x7f11f03a88e9 caffe::Creator_RMSPropSolver<>() @ 0x40afd9 train() @ 0x4077e8 main @ 0x7f11ee213830 __libc_start_main @ 0x4080b9 _start @ (nil) (unknown) Aborted (core dumped)

num_classes = 23; Should I change the last layer mbox_loss? More details will be appreciated ubuntu16.0+cuda9.0 TKS!