Aborted at 1478502296 (unix time) try "date -d @1478502296" if you are using GNU date ***

[ZhuangNi]

Hi,zhuhan.When I added your implemention of MMD to the lastest caffe version,I met the following error: *** Aborted at 1478502296 (unix time) try "date -d @1478502296" if you are using GNU date *** PC: @ 0x7f645ee615a6 caffe::Blob<>::Reshape() *** SIGSEGV (@0x0) received by PID 21540 (TID 0x7f645f8b9a40) from PID 0; stack trace: *** @ 0x7f645d7d5cb0 (unknown) @ 0x7f645ee615a6 caffe::Blob<>::Reshape() @ 0x7f645edf645a caffe::Net<>::ForwardFromTo() @ 0x7f645edf67f7 caffe::Net<>::Forward() @ 0x7f645ee52807 caffe::Solver<>::Step() @ 0x7f645ee530c9 caffe::Solver<>::Solve() @ 0x4094ab train() @ 0x4068ac main @ 0x7f645d7c0f45 (unknown) @ 0x40711b (unknown) @ 0x0 (unknown) Segmentation fault (core dumped) It works well before the program run if(now_iter_>=iter_of_epoch) ,..,blablabla command. Could you tell me what happens? Thanks in advance.

[zhuhan1236]

Just as I said in #2 , the implementation is not elegant and I modified a lot of original caffe layers like data_layer, softmax_loss_layer and so on. So, the correctness of mmd_layer depends on the whole mmd-caffe project. If you want to run this code, you should clone and compile the complete project. And I'am going to publish a simplified and independent 'mmd_layer' in a few days.

[ZhuangNi]

Thank you very much! I just use the latest MMD implemention ,and it could work.

[zhuhan1236]

You mean the latest master branch? It does work but a bit inconvenient for users...

[ZhuangNi]

I added the MMD Loss to the latest caffe version and use it to train my own data, but the accuracy is just 0.5675. It just start train.

[ZhuangNi]

Anyway, thank you very much! I will find the other bug of the program .

[zhuhan1236]

Please move to transfer-caffe

[ZhuangNi]

OK! You are so nice! Thank you very much!

[zhuhan1236]

That's fine.