查看TensorFlow的版本以及安装路径

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查看TensorFlow的版本以及安装路径

进入到Python环境

import tensorflow as tf
tf.__version__   # 查看版本
tf.__path__      # 查看安装路径

查看TensorFlow版本的另一种方法

sudo pip3 show tensorflow-gpu   # GPU版
sudo pip3 show tensorflow       # 非GPU版

查看TensorFlow版本的另一种方法

$ python
Python 3.6.7 (default, Oct 22 2018, 11:32:17) 
[GCC 8.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow.python.client import device_lib
>>> device_lib.list_local_devices()

输出

2019-05-18 21:36:53.492143: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-05-18 21:36:53.606863: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-05-18 21:36:53.607366: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: 
name: GeForce MX150 major: 6 minor: 1 memoryClockRate(GHz): 1.341
pciBusID: 0000:01:00.0
totalMemory: 1.96GiB freeMemory: 1.27GiB
2019-05-18 21:36:53.607382: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0
2019-05-18 21:36:53.826350: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-05-18 21:36:53.826381: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929]      0 
2019-05-18 21:36:53.826388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0:   N 
2019-05-18 21:36:53.826499: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/device:GPU:0 with 1017 MB memory) -> physical GPU (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 1057080042639158477
, name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 1067384832
locality {
  bus_id: 1
  links {
  }
}
incarnation: 9801033547599324942
physical_device_desc: "device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1"
]

另一种方法

查看tensorflow-gpu的版本：

pip list

查看TensorFlow的版本以及安装路径

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原文地址：https://www.cnblogs.com/youpeng/p/10887354.html