Created by: WoNiuHu

hi，在云上的机器跑的gpu的版本的报错如下： `root@311257b81a76:/work# bash run.sh lstm_train

I0718 02:20:33.320343 36 Util.cpp:155] commandline: /usr/local/bin/../opt/paddle/bin/paddle_trainer --config=trainer_config.py --save_dir=./model_output --job=train --use_gpu=true --trainer_count=1 --num_passes=2 --log_period=10 --dot_period=20 --show_parameter_stats_period=100 --test_all_data_in_one_period=1

I0718 02:22:57.979029 36 Util.cpp:130] Calling runInitFunctions

I0718 02:22:57.980270 36 Util.cpp:143] Call runInitFunctions done.

[INFO 2017-07-18 02:22:59,474 networks.py:1466] The input order is [word, label] [INFO 2017-07-18 02:22:59,474 networks.py:1472] The output order is [cost_0] I0718 02:22:59.617970 36 Trainer.cpp:170] trainer mode: Normal

F0718 02:22:59.624567 36 hl_gpu_matrix_kernel.cuh:181] Check failed: cudaSuccess == err (0 vs. 8) [hl_gpu_apply_unary_op failed] CUDA error: invalid device function *** Check failure stack trace: ***`

已经安装nvidia-docker 和 paddledev/paddle:gpu-release-v0.9.0 的镜像，