执行测试命令python seq2species/run_training_test.py时出现以下错误
$ python seq2species/run_training_test.py
/home/dunan/anaconda3/envs/python2/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Running tests under Python 2.7.15: /home/dunan/anaconda3/envs/python2/bin/python
[ RUN ] RunTrainingTest.test_run_training(['test_target_1'])
Current Hyperparameters:
lrelu_slope : 0.0
min_read_length : 5
optimizer : adam
filter_widths : [3]
pooling_type : avg
keep_prob : 1.0
lr_init : 0.001
weight_scale : 1.0
use_depthwise_separable : True
num_fc_units : 455
pointwise_depths : [64]
grad_clip_norm : 20.0
lr_decay : 0.1
num_fc_layers : 2
optimizer_hp : 0.9
train_steps : 10
filter_depths : [1]
Constructing TensorFlow Graph.
Starting model training.
I0924 19:17:14.124703 140026229511936 tf_logging.py:115] Create CheckpointSaverHook.
I0924 19:17:14.242932 140026229511936 tf_logging.py:115] Graph was finalized.
2018-09-24 19:17:14.243126: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-09-24 19:17:14.335339: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-09-24 19:17:14.335705: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.721
pciBusID: 0000:01:00.0
totalMemory: 10.92GiB freeMemory: 10.25GiB
2018-09-24 19:17:14.335720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 0
2018-09-24 19:17:15.268438: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-09-24 19:17:15.268464: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0
2018-09-24 19:17:15.268470: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 0: N
2018-09-24 19:17:15.268897: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9910 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
I0924 19:17:15.436043 140026229511936 tf_logging.py:115] Running local_init_op.
I0924 19:17:15.459621 140026229511936 tf_logging.py:115] Done running local_init_op.
I0924 19:17:15.692641 140026229511936 tf_logging.py:115] Saving checkpoints for 0 into /tmp/absl_testing/train:1/model.ckpt.
2018-09-24 19:17:16.151795: E tensorflow/stream_executor/cuda/cuda_dnn.cc:352] Could not create cudnn handle: CUDNN_STATUS_NOT_INITIALIZED
2018-09-24 19:17:16.151853: E tensorflow/stream_executor/cuda/cuda_dnn.cc:360] Possibly insufficient driver version: 390.87.0
Segmentation fault (core dumped)
同时，我也在使用tensorflow后端Keras，并且没有问题。
我尝试安装Nvidia驱动程序384，并且遇到相同的问题，并且我还尝试了Cudnn 7.1