无法在Ubuntu上检测到使用python3.6的gpu
我想在我的笔记本电脑（Ubuntu18.04）中检测gpu以使用它。为此，我使用Tensorflow的以下命令：无法在Ubuntu上检测到使用python3.6的gpu,python,ubuntu,gpu,Python,Ubuntu,Gpu,我想在我的笔记本电脑（Ubuntu18.04）中检测gpu以使用它。为此，我使用Tensorflow的以下命令： import tensorflow as tf tf.test.gpu_device_name() 结果，我得到了这个结果： 2020-09-20 02:28:04.440281: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorF
import tensorflow as tf
tf.test.gpu_device_name()
2020-09-20 02:28:04.440281: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-09-20 02:28:04.467750: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2599990000 Hz
2020-09-20 02:28:04.468610: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5503e20 executing computations on platform Host. Devices:
2020-09-20 02:28:04.468629: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
2020-09-20 02:28:04.471728: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-09-20 02:28:04.570688: 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
2020-09-20 02:28:04.571025: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55ac430 executing computations on platform CUDA. Devices:
2020-09-20 02:28:04.571036: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce GTX 1660 Ti with Max-Q Design, Compute Capability 7.5
2020-09-20 02:28:04.571566: 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
2020-09-20 02:28:04.571868: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX 1660 Ti with Max-Q Design major: 7 minor: 5 memoryClockRate(GHz): 1.335
pciBusID: 0000:01:00.0
2020-09-20 02:28:04.571962: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.1/lib64:/usr/local/cuda-10.1/lib64:
2020-09-20 02:28:04.572015: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.1/lib64:/usr/local/cuda-10.1/lib64:
2020-09-20 02:28:04.572068: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.1/lib64:/usr/local/cuda-10.1/lib64:
2020-09-20 02:28:04.572119: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.1/lib64:/usr/local/cuda-10.1/lib64:
2020-09-20 02:28:04.572206: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.1/lib64:/usr/local/cuda-10.1/lib64:
2020-09-20 02:28:04.572260: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.1/lib64:/usr/local/cuda-10.1/lib64:
2020-09-20 02:28:04.620475: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-09-20 02:28:04.620508: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2020-09-20 02:28:04.620529: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-09-20 02:28:04.620537: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2020-09-20 02:28:04.620548: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
Out[3]: ''
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.06 Driver Version: 450.51.06 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce GTX 166... On | 00000000:01:00.0 Off | N/A |
| N/A 49C P8 2W / N/A | 308MiB / 5944MiB | 1% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 2158 G /usr/lib/xorg/Xorg 114MiB |
| 0 N/A N/A 2344 G /usr/bin/gnome-shell 108MiB |
| 0 N/A N/A 2855 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 3167 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 3214 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 15568 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 15997 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 18104 C ...alenvs/genesis/bin/python 69MiB |
+-----------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.06 Driver Version: 450.51.06 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce GTX 166... On | 00000000:01:00.0 Off | N/A |
| N/A 49C P8 2W / N/A | 308MiB / 5944MiB | 1% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 2158 G /usr/lib/xorg/Xorg 114MiB |
| 0 N/A N/A 2344 G /usr/bin/gnome-shell 108MiB |
| 0 N/A N/A 2855 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 3167 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 3214 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 15568 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 15997 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 18104 C ...alenvs/genesis/bin/python 69MiB |
+-----------------------------------------------------------------------------+