kaldi平台上aishell运行时出现的问题及解决办法

问题 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.

解决办法：

cd 到src目录下:make clean，清除我们之前的编译结果。

检查src/configure文件370行，cuda安装路径是否对应。

for base in /usr/local/share/cuda /usr/local/cuda /usr/; do

./configure：重新生成配置文件，这时会自动检查是否安装了cuda，这里会有显示是不是有cuda。

make  编译完成后，就可以使用GPU进行训练了。

 

问题 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, std::allocator >)
main
__libc_start_main
_start

ERROR (nnet3-train[5.5]:SelectGpuId():cu-device.cc:167) Failed to create CUDA context, no more unused GPUs?
 

解决办法：

修改kaldi-trunk/egs/aishell/s5/local/nnet3/run_tdnn.sh文件，将文件第96行--use-gpu true 改成 --use-gpu wait。

 

问题 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)

解决办法：

删除kaldi-trunk/egs/aishell/s5/data/train_sp/feats.scp文件即可。