今天在运行深度学习程序adversarial-code-generation的时候，发现用到了docker，然后发现了下面的错误：
[DBG]: + Image built! docker: Error response from daemon: OCI runtime create failed: container_linux.go:367: starting container process caused: process_linux.go:495: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: device error: 1: unknown device: unknown. Makefile:818: recipe for target 'train-model-seq2seq' failed make: *** [train-model-seq2seq] Error 125 Command exited with non-zero status 2 0.94user 1.92system 0:13.92elapsed 20%CPU (0avgtext+0avgdata 61912maxresident)k 1439376inputs+1317112outputs (267major+24941minor)pagefaults 0swaps
脚本是这个：
ARGS="--regular_training --epochs 10" GPU=1 MODELS_OUT=final-models/seq2seq/sri/py150/ DATASET_NAME=datasets/transformed/preprocessed/tokens/sri/py150/transforms.Identity time make train-model-seq2seq解决方法
我发现网上的一些降低版本的做法好像不管用，我注意到nvidia-docker使用的是gpu的，所以我修改一下GPU 这个参数，我只有一块1080TI哈
ARGS="--regular_training --epochs 10" GPU=0 MODELS_OUT=final-models/seq2seq/sri/py150/ DATASET_NAME=datasets/transformed/preprocessed/tokens/sri/py150/transforms.Identity time make train-model-seq2seq
