20160119

1、 今天嘗試用alex網路模型做自己的識別任務，提示如下錯誤 Check failed: error == cudaSuccess (2 vs. 0) out of memory。

Google 之後 https://github.com/BVLC/caffe/issues/682  發現是test的batch 設定過大導致，把batch改小就好了。

原來設定為547，是為了方便看測試資料。

update:
in step (3) finetune_net imagenet_solver.prototxt caffe_reference_imagenet_model, it will show this info.

F0713 21:28:27.059324 3532 syncedmem.cpp:47] Check failed: error == cudaSuccess (2 vs. 0) out of memory
*** Check failure stack trace: ***
@ 0x7fb1ce8da9fd google::LogMessage::Fail()
@ 0x7fb1ce8dc89d google::LogMessage::SendToLog()
@ 0x7fb1ce8da5ec google::LogMessage::Flush()
@ 0x7fb1ce8dd1be google::LogMessageFatal::~LogMessageFatal()
@ 0x447284 caffe::SyncedMemory::mutable_gpu_data()
@ 0x43c9d2 caffe::Blob<>::mutable_gpu_diff()
@ 0x4934f2 caffe::InnerProductLayer<>::Backward_gpu()
@ 0x42e403 caffe::Net<>::Backward()
@ 0x445bd7 caffe::Solver<>::Solve()
@ 0x40a0c8 main
@ 0x7fb1cbf56ec5 (unknown)
@ 0x40be37 (unknown)
Aborted (core dumped)