Windows 10 Tensorflow 2 gpu正式版安装和更新日志
Tensorflow 2.0.0 released on2019年10月1日星期二
Link: https://github.com/tensorflow/tensorflow/releases/tag/v2.0.0
本日志是win 10下tf2.0.0正式版的重新安装/更新的精确技术文档。
Steps as follows:
Step 1: enter into tf installing folder C:Program Files (x86)Microsoft Visual StudioSharedPython37_64
cd C:Program Files (x86)Microsoft Visual StudioSharedPython37_64
Step 2: find tf 2 gpu downloading link by pip
pip3 install --ignore-installed --upgrade tensorflow-gpu==2.0.0
pip3 install --ignore-installed --upgrade tensorflow-gpu
note: do not install this time if low network transfer speed if, you can just disconnect your network and copy the source link
Step 3:
Analysis to find the downloading whl source file and download by tools as 迅雷
The downloading speed was about 1 mb/s, time less than 5 minutes
confirm name tensorflow_gpu-2.0.0
result:
step 4 uninstall existing tf prior version, cmd as follows:
pip3 uninstall tensorflow
Step 5 local install whl
pip3 install "D: ensorflow softwaretensorflow_gpu-2.0.0-cp37-cp37m-win_amd64.whl"
feedback:
C:Program Files (x86)Microsoft Visual StudioSharedPython37_64>pip3 install "D: ensorflow software ensorflow_gpu-2.0.0-cp37-cp37m-win_amd64.whl"
Processing d: ensorflow software ensorflow_gpu-2.0.0-cp37-cp37m-win_amd64.whl
Requirement already satisfied: absl-py>=0.7.0 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (0.7.1)
Requirement already satisfied: keras-applications>=1.0.8 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (1.0.8)
Requirement already satisfied: astor>=0.6.0 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (0.8.0)
Requirement already satisfied: keras-preprocessing>=1.0.5 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (1.1.0)
Collecting opt-einsum>=2.3.2 (from tensorflow-gpu==2.0.0)
Downloading https://files.pythonhosted.org/packages/b8/83/755bd5324777875e9dff19c2e59daec837d0378c09196634524a3d7269ac/opt_einsum-3.1.0.tar.gz (69kB)
|████████████████████████████████| 71kB 79kB/s
Requirement already satisfied: google-pasta>=0.1.6 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (0.1.7)
Collecting tensorboard<2.1.0,>=2.0.0 (from tensorflow-gpu==2.0.0)
Downloading https://files.pythonhosted.org/packages/9b/a6/e8ffa4e2ddb216449d34cfcb825ebb38206bee5c4553d69e7bc8bc2c5d64/tensorboard-2.0.0-py3-none-any.whl (3.8MB)
|████████████████████████████████| 3.8MB 26kB/s
Requirement already satisfied: wrapt>=1.11.1 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (1.11.2)
Requirement already satisfied: gast==0.2.2 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (0.2.2)
Collecting tensorflow-estimator<2.1.0,>=2.0.0 (from tensorflow-gpu==2.0.0)
Downloading https://files.pythonhosted.org/packages/95/00/5e6cdf86190a70d7382d320b2b04e4ff0f8191a37d90a422a2f8ff0705bb/tensorflow_estimator-2.0.0-py2.py3-none-any.whl (449kB)
|████████████████████████████████| 450kB 19kB/s
Requirement already satisfied: wheel>=0.26 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (0.33.4)
Requirement already satisfied: numpy<2.0,>=1.16.0 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (1.17.0)
Requirement already satisfied: termcolor>=1.1.0 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (1.1.0)
Requirement already satisfied: protobuf>=3.6.1 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (3.9.1)
Requirement already satisfied: grpcio>=1.8.6 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (1.22.0)
Requirement already satisfied: six>=1.10.0 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorflow-gpu==2.0.0) (1.12.0)
Requirement already satisfied: h5py in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from keras-applications>=1.0.8->tensorflow-gpu==2.0.0) (2.9.0)
Requirement already satisfied: werkzeug>=0.11.15 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow-gpu==2.0.0) (0.15.5)
Requirement already satisfied: markdown>=2.6.8 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow-gpu==2.0.0) (3.1.1)
Requirement already satisfied: setuptools>=41.0.0 in c:program files (x86)microsoft visual studiosharedpython37_64libsite-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow-gpu==2.0.0) (41.0.1)
Building wheels for collected packages: opt-einsum
Building wheel for opt-einsum (setup.py) ... done
Created wheel for opt-einsum: filename=opt_einsum-3.1.0-cp37-none-any.whl size=61701 sha256=a20fc7079d3e192beb7519739e120b43b0fabb3b2bdb243a867197ca75a6b31c
Stored in directory: C:UsersDFKJ3AppDataLocalpipCachewheels2c19443d03e130b929aae7ba3f8d15cbd7bc0d1cb5bb38a5c721833
Successfully built opt-einsum
Installing collected packages: opt-einsum, tensorboard, tensorflow-estimator, tensorflow-gpu
Found existing installation: tensorboard 1.14.0
Uninstalling tensorboard-1.14.0:
Successfully uninstalled tensorboard-1.14.0
Found existing installation: tensorflow-gpu 2.0.0b1
Uninstalling tensorflow-gpu-2.0.0b1:
Successfully uninstalled tensorflow-gpu-2.0.0b1
Successfully installed opt-einsum-3.1.0 tensorboard-2.0.0 tensorflow-estimator-2.0.0 tensorflow-gpu-2.0.0
Step 6 test using python
C:Program Files (x86)Microsoft Visual StudioSharedPython37_64>python
Python 3.7.2 (tags/v3.7.2:9a3ffc0492, Dec 23 2018, 23:09:28) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
>>> tensorflow.__version__
'2.0.0'
>>> tf.test.is_gpu_available()
2019-10-01 12:25:37.684543: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-10-01 12:25:37.691337: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2019-10-01 12:25:38.107940: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce 940MX major: 5 minor: 0 memoryClockRate(GHz): 1.2415
pciBusID: 0000:01:00.0
2019-10-01 12:25:38.112862: I tensorflow/stream_executor/platform/default/dlopen_checker_stub.cc:25] GPU libraries are statically linked, skip dlopen check.
2019-10-01 12:25:38.118783: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2019-10-01 12:25:40.394489: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-01 12:25:40.398096: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2019-10-01 12:25:40.399335: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2019-10-01 12:25:40.401059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/device:GPU:0 with 1384 MB memory) -> physical GPU (device: 0, name: GeForce 940MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
True