查看TensorFlow的版本以及安装路径 |
您所在的位置：网站首页 › tensorflow 20电子书 › 查看TensorFlow的版本以及安装路径 |
查看TensorFlow的版本以及安装路径
|
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 |
【本文地址】
今日新闻 |
推荐新闻 |