kaldi平臺上aishell執行時出現的問題及解決辦法
問題 1：
This script is intended to be used with GPUs but you have not compiled Kaldi with CUDA
If you want to use GPUs (and have them), go to src/, and configure and make on a machine
where "nvcc" is installed.
解決辦法：
cd 到src目錄下:make clean，清除我們之前的編譯結果。
檢查src/configure檔案370行，cuda安裝路徑是否對應。
for base in /usr/local/share/cuda /usr/local/cuda /usr/; do
./configure：重新生成配置檔案，這時會自動檢查是否安裝了cuda，這裡會有顯示是不是有cuda。
make 編譯完成後，就可以使用GPU進行訓練了。
問題 2：
LOG (nnet3-train[5.5]:SelectGpuId():cu-device.cc:166) num-gpus=4. Device 0: all CUDA-capable devices are busy or unavailable. Device 1: all CUDA-capable devices are busy or unavailable. Device 2: all CUDA-capable devices are busy or unavailable. Device 3: all CUDA-capable devices are busy or unavailable.
ERROR (nnet3-train[5.5]:SelectGpuId():cu-device.cc:167) Failed to create CUDA context, no more unused GPUs?
[ Stack-Trace: ]
kaldi::MessageLogger::HandleMessage(kaldi::LogMessageEnvelope const&, char const*)
kaldi::FatalMessageLogger::~FatalMessageLogger()
kaldi::CuDevice::SelectGpuId(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)
main
__libc_start_main
_start
ERROR (nnet3-train[5.5]:SelectGpuId():cu-device.cc:167) Failed to create CUDA context, no more unused GPUs?
解決辦法：
修改kaldi-trunk/egs/aishell/s5/local/nnet3/run_tdnn.sh檔案，將檔案第96行--use-gpu true 改成 --use-gpu wait。
問題 3：
utils/data/perturb_data_dir_speed_3way.sh: data/train_sp/feats.scp already exists: refusing to run this (please delete data/train_sp/feats.scp if you want this to run)
解決辦法：
刪除kaldi-trunk/egs/aishell/s5/data/train_sp/feats.scp檔案即可。