patientzero / tensorflow2.0-python3.6-docker Goto Github PK

Hello , thanks your work , i meet a problem , do you know how to solve it?:

tensorflow.test.is_gpu_available()
2020-01-03 02:17:33.900500: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-01-03 02:17:33.953708: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2020-01-03 02:17:34.260123: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-01-03 02:17:34.261495: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4e35e60 executing computations on platform CUDA. Devices:
2020-01-03 02:17:34.261527: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0
2020-01-03 02:17:34.264166: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2494220000 Hz
2020-01-03 02:17:34.300026: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4f1a090 executing computations on platform Host. Devices:
2020-01-03 02:17:34.300085: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
2020-01-03 02:17:34.300364: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-01-03 02:17:34.301724: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285
pciBusID: 0000:00:09.0
2020-01-03 02:17:34.302108: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2020-01-03 02:17:34.303630: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
2020-01-03 02:17:34.305090: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
2020-01-03 02:17:34.305423: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
2020-01-03 02:17:34.307134: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
2020-01-03 02:17:34.308411: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
2020-01-03 02:17:34.308681: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2020-01-03 02:17:34.308709: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2020-01-03 02:17:34.308748: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-01-03 02:17:34.308765: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0
2020-01-03 02:17:34.308781: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N
False