This environment below does not work because the accuracy is always 0. What are the possible reasons?
What other things should I notice?
PyTorch version: 0.4.1
Is debug build: No
CUDA used to build PyTorch: 9.0.176

OS: Ubuntu 16.04.5 LTS
GCC version: (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609
CMake version: version 3.5.1

Python version: 3.6
Is CUDA available: Yes
CUDA runtime version: 9.0.176
GPU models and configuration:
GPU 0: TITAN Xp
GPU 1: TITAN Xp
GPU 2: TITAN Xp
GPU 3: TITAN Xp
GPU 4: TITAN Xp
GPU 5: TITAN Xp
GPU 6: TITAN Xp
GPU 7: TITAN Xp

Nvidia driver version: 396.54
cuDNN version: Probably one of the following:
/usr/local/cuda-9.0/lib64/libcudnn.so.7.3.0
/usr/local/cuda-9.0/lib64/libcudnn_static.a
/usr/local/cuda-9.2/lib64/libcudnn.so.7.2.1
/usr/local/cuda-9.2/lib64/libcudnn_static.a

Versions of relevant libraries:
[pip] Could not collect
[conda] torch                     0.4.1                     <pip>
[conda] torchsummary              1.5.1                     <pip>
[conda] torchvision               0.2.1                     <pip>