I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:105] Couldn't open CUDA library libcudnn.so. LD_LIBRARY_PATH: /sw/arcts/centos7/cuda/7.5/lib64:/sw/arcts/centos7/cuda/7.5/lib:/sw/arcts/centos7/intel/16.0.3/compilers_and_libraries_2016.3.210/linux/mkl/lib/intel64:/sw/arcts/centos7/intel/16.0.3/compilers_and_libraries_2016.3.210/linux/compiler/lib/intel64:/sw/arcts/centos7/python-dev/3.5.2/lib:/sw/arcts/centos7/modulefiles/cuda/lib64
I tensorflow/stream_executor/cuda/cuda_dnn.cc:3448] Unable to load cuDNN DSO
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcurand.so locally
I tensorflow/core/common_runtime/gpu/gpu_device.cc:951] Found device 0 with properties:
name: Tesla K40m
major: 3 minor: 5 memoryClockRate (GHz) 0.745
pciBusID 0000:03:00.0
Total memory: 11.17GiB
Free memory: 11.10GiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:972] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K40m, pci bus id: 0000:03:00.0)
0 [-0.43937957] [ 0.724401]
20 [-0.07043199] [ 0.3822034]
40 [ 0.05188077] [ 0.32320905]
60 [ 0.08641416] [ 0.3065528]
80 [ 0.09616421] [ 0.30185011]
100 [ 0.09891702] [ 0.30052236]
120 [ 0.09969422] [ 0.3001475]
140 [ 0.09991367] [ 0.30004165]
160 [ 0.09997564] [ 0.30001175]
180 [ 0.09999312] [ 0.30000332]
200 [ 0.09999806] [ 0.30000094]