查看TensorFlow的GPU是否可用

在TensorFlow中测试GPU是否可用方法如下：

import tensorflow as tf
print(tf.test.is_gpu_available())

结果信息如下

Python 3.6.10 |Anaconda, Inc.| (default, May  8 2020, 02:54:21) 
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> print(tf.test.is_gpu_available())
2020-09-14 11:09:34.695211: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2020-09-14 11:09:34.712743: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2299995000 Hz
2020-09-14 11:09:34.718083: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55e762b39f80 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-14 11:09:34.718134: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-09-14 11:09:34.723355: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-09-14 11:09:35.328848: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55e762b3c360 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-09-14 11:09:35.328909: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla T4, Compute Capability 7.5
2020-09-14 11:09:35.328927: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (1): Tesla T4, Compute Capability 7.5
2020-09-14 11:09:35.328941: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (2): Tesla T4, Compute Capability 7.5
2020-09-14 11:09:35.328955: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (3): Tesla T4, Compute Capability 7.5
2020-09-14 11:09:35.341708: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: 
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:3d:00.0
2020-09-14 11:09:35.342782: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 1 with properties: 
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:41:00.0
2020-09-14 11:09:35.343280: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 2 with properties: 
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:b2:00.0
2020-09-14 11:09:35.344143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 3 with properties: 
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:b4:00.0
2020-09-14 11:09:35.344512: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-09-14 11:09:35.345907: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2020-09-14 11:09:35.347267: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2020-09-14 11:09:35.347571: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2020-09-14 11:09:35.349150: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2020-09-14 11:09:35.350462: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2020-09-14 11:09:35.369273: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-09-14 11:09:35.375792: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0, 1, 2, 3
2020-09-14 11:09:35.375845: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-09-14 11:09:35.379653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-09-14 11:09:35.379672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 1 2 3 
2020-09-14 11:09:35.379679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N Y Y Y 
2020-09-14 11:09:35.379685: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 1:   Y N Y Y 
2020-09-14 11:09:35.379691: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 2:   Y Y N Y 
2020-09-14 11:09:35.379697: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 3:   Y Y Y N 
2020-09-14 11:09:35.384008: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/device:GPU:0 with 12160 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:3d:00.0, compute capability: 7.5)
2020-09-14 11:09:35.385873: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/device:GPU:1 with 14249 MB memory) -> physical GPU (device: 1, name: Tesla T4, pci bus id: 0000:41:00.0, compute capability: 7.5)
2020-09-14 11:09:35.386768: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/device:GPU:2 with 154 MB memory) -> physical GPU (device: 2, name: Tesla T4, pci bus id: 0000:b2:00.0, compute capability: 7.5)
2020-09-14 11:09:35.390115: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/device:GPU:3 with 9941 MB memory) -> physical GPU (device: 3, name: Tesla T4, pci bus id: 0000:b4:00.0, compute capability: 7.5)
True