Yili Zhao

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This is my jupyter notebook softmax prediction: ![softmax](https://cs2.swfu.edu.cn/~zyl/images/softmax.png) It seems that the prediction was wrong.

The service is still down.

I also has this problem, so I think maybe this caffe version doesn't support new versions of cuDNN.

I also tried g++ with Ubuntu 18.04, but get some errors when compiling `thunk_code_x64.cpp`.

It seems that `call_thunk.cpp` includes `"call_thunk.h"`, and `call_thunk.h` includes `thunk_code_x64.cpp`.

Same issue for me. @auroua 's fix works. Thanks!

https://github.com/YimianDai/iNSFC/issues/14#issuecomment-607812023

@akanimax I note that `DataLoader` has a `FoldersDistributedDataset` class and a `get_data_loader` method. Should I use them? I also note that `train_network.py` can load a configure file like `celeba-hq.conf`. For...

@akanimax 1. Since every folder in my custom dataset represents a separate class, so I think the training is *Conditional ProGAN*. 2. By the way, does the training need every...