标签：ubuntu19.1 cn pypi tsinghua edu tensorflow packages
查看版本号
:~$ python -V
Python 3.7.5
:~$ pip3 -V
pip 18.1 from /usr/lib/python3/dist-packages/pip (python 3.7)
:~$ pip -V
pip 18.1 from /usr/lib/python3/dist-packages/pip (python 3.7)
:~$ cat /etc/issue
Ubuntu 19.10 \n \l
:~$ cat /etc/lsb-release
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=19.10
DISTRIB_CODENAME=eoan
DISTRIB_DESCRIPTION="Ubuntu 19.10"
查看内核
:~$ uname -a
Linux ubaba-HN-WX9X 5.3.0-46-generic #38-Ubuntu SMP Fri Mar 27 17:37:05 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
安装tensorflow
:~$ pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting tensorflow
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f4/28/96efba1a516cdacc2e2d6d081f699c001d414cc8ca3250e6d59ae657eb2b/tensorflow-1.14.0-cp37-cp37m-manylinux1_x86_64.whl (109.3MB)
100% |████████████████████████████████| 109.3MB 16kB/s
Requirement already satisfied: wheel>=0.26 in /usr/lib/python3/dist-packages (from tensorflow) (0.32.3)
Requirement already satisfied: six>=1.10.0 in /usr/lib/python3/dist-packages (from tensorflow) (1.12.0)
Collecting gast>=0.2.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b6/48/583c032b79ae5b3daa02225a675aeb673e58d2cb698e78510feceb11958c/gast-0.4.0-py3-none-any.whl
Collecting keras-applications>=1.0.6 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/71/e3/19762fdfc62877ae9102edf6342d71b28fbfd9dea3d2f96a882ce099b03f/Keras_Applications-1.0.8-py3-none-any.whl (50kB)
100% |████████████████████████████████| 51kB 5.2MB/s
Collecting tensorboard<1.15.0,>=1.14.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/91/2d/2ed263449a078cd9c8a9ba50ebd50123adf1f8cfbea1492f9084169b89d9/tensorboard-1.14.0-py3-none-any.whl (3.1MB)
100% |████████████████████████████████| 3.2MB 621kB/s
Collecting keras-preprocessing>=1.0.5 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/79/4c/7c3275a01e12ef9368a892926ab932b33bb13d55794881e3573482b378a7/Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42kB)
100% |████████████████████████████████| 51kB 17kB/s
Collecting google-pasta>=0.1.6 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a3/de/c648ef6835192e6e2cc03f40b19eeda4382c49b5bafb43d88b931c4c74ac/google_pasta-0.2.0-py3-none-any.whl (57kB)
100% |████████████████████████████████| 61kB 6.8MB/s
Collecting absl-py>=0.7.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bc/58/0aa6fb779dc69cfc811df3398fcbeaeefbf18561b6e36b185df0782781cc/absl_py-0.11.0-py3-none-any.whl (127kB)
100% |████████████████████████████████| 133kB 5.8MB/s
Collecting tensorflow-estimator<1.15.0rc0,>=1.14.0rc0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/3c/d5/21860a5b11caf0678fbc8319341b0ae21a07156911132e0e71bffed0510d/tensorflow_estimator-1.14.0-py2.py3-none-any.whl (488kB)
100% |████████████████████████████████| 491kB 802kB/s
Collecting wrapt>=1.11.1 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/82/f7/e43cefbe88c5fd371f4cf0cf5eb3feccd07515af9fd6cf7dbf1d1793a797/wrapt-1.12.1.tar.gz
Collecting termcolor>=1.1.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz
Collecting astor>=0.6.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c3/88/97eef84f48fa04fbd6750e62dcceafba6c63c81b7ac1420856c8dcc0a3f9/astor-0.8.1-py2.py3-none-any.whl
Requirement already satisfied: numpy<2.0,>=1.14.5 in ./.local/lib/python3.7/site-packages (from tensorflow) (1.18.1)
Requirement already satisfied: protobuf>=3.6.1 in /usr/lib/python3/dist-packages (from tensorflow) (3.6.1)
Collecting grpcio>=1.8.6 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/35/98/74a430566fdd9d4cc0386322e55306c8928a95da95b1da6fba08641526b5/grpcio-1.34.0.tar.gz (21.0MB)
100% |████████████████████████████████| 21.0MB 87kB/s
Collecting h5py (from keras-applications>=1.0.6->tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9d/74/9eae2bedd8201ab464308f42c601a12d79727a1c87f0c867fdefb212c6cf/h5py-3.1.0-cp37-cp37m-manylinux1_x86_64.whl (4.0MB)
100% |████████████████████████████████| 4.0MB 54kB/s
Requirement already satisfied: setuptools>=41.0.0 in /usr/lib/python3/dist-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow) (41.1.0)
Collecting werkzeug>=0.11.15 (from tensorboard<1.15.0,>=1.14.0->tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/cc/94/5f7079a0e00bd6863ef8f1da638721e9da21e5bacee597595b318f71d62e/Werkzeug-1.0.1-py2.py3-none-any.whl (298kB)
100% |████████████████████████████████| 307kB 4.1MB/s
Collecting markdown>=2.6.8 (from tensorboard<1.15.0,>=1.14.0->tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ac/ef/24a91ca96efa0d7802dffb83ccc7a3c677027bea19ec3c9ee80be740408e/Markdown-3.3.3-py3-none-any.whl (96kB)
100% |████████████████████████████████| 102kB 506kB/s
Collecting cached-property; python_version < "3.8" (from h5py->keras-applications>=1.0.6->tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/48/19/f2090f7dad41e225c7f2326e4cfe6fff49e57dedb5b53636c9551f86b069/cached_property-1.5.2-py2.py3-none-any.whl
Requirement already satisfied: importlib-metadata; python_version < "3.8" in ./.local/lib/python3.7/site-packages (from markdown>=2.6.8->tensorboard<1.15.0,>=1.14.0->tensorflow) (1.5.0)
Requirement already satisfied: zipp>=0.5 in ./.local/lib/python3.7/site-packages (from importlib-metadata; python_version < "3.8"->markdown>=2.6.8->tensorboard<1.15.0,>=1.14.0->tensorflow) (2.1.0)
Building wheels for collected packages: wrapt, termcolor, grpcio
Running setup.py bdist_wheel for wrapt ... done
Stored in directory: /home/ubaba/.cache/pip/wheels/68/e3/d7/4b6eee6f5d547bdfd97ba406128db66c5654dfb831fda163a2
Running setup.py bdist_wheel for termcolor ... done
Stored in directory: /home/ubaba/.cache/pip/wheels/e3/d8/fc/50ab6e66e3dead21d5afff006dc5298913a3064be2b1105359
Running setup.py bdist_wheel for grpcio ... done
Stored in directory: /home/ubaba/.cache/pip/wheels/a9/7d/55/11aa45161f416c2998f26fe0e6a2ce72929901d60aa525ba7b
Successfully built wrapt termcolor grpcio
Installing collected packages: gast, cached-property, h5py, keras-applications, grpcio, absl-py, werkzeug, markdown, tensorboard, keras-preprocessing, google-pasta, tensorflow-estimator, wrapt, termcolor, astor, tensorflow
Successfully installed absl-py-0.11.0 astor-0.8.1 cached-property-1.5.2 gast-0.4.0 google-pasta-0.2.0 grpcio-1.34.0 h5py-3.1.0 keras-applications-1.0.8 keras-preprocessing-1.1.2 markdown-3.3.3 tensorboard-1.14.0 tensorflow-1.14.0 tensorflow-estimator-1.14.0 termcolor-1.1.0 werkzeug-1.0.1 wrapt-1.12.1
测试文件test.py
import tensorflow as tf
a = tf.constant([1.0, 2.0, 3.0], shape=[3], name='a')
b = tf.constant([1.0, 2.0, 3.0], shape=[3], name='b')
c = a + b
sess = tf.compat.v1.Session(config=tf.compat.v1.ConfigProto(log_device_placement=True))
print(sess.run(c))
运行测试文件
:~$ cd PycharmProjects/
:~/PycharmProjects$ python test.py
add: (Add): /job:localhost/replica:0/task:0/device:CPU:0
2020-12-10 21:22:30.318901: I tensorflow/core/common_runtime/placer.cc:54] add: (Add)/job:localhost/replica:0/task:0/device:CPU:0
a: (Const): /job:localhost/replica:0/task:0/device:CPU:0
2020-12-10 21:22:30.318947: I tensorflow/core/common_runtime/placer.cc:54] a: (Const)/job:localhost/replica:0/task:0/device:CPU:0
b: (Const): /job:localhost/replica:0/task:0/device:CPU:0
2020-12-10 21:22:30.318973: I tensorflow/core/common_runtime/placer.cc:54] b: (Const)/job:localhost/replica:0/task:0/device:CPU:0
2020-12-10 21:22:30.320024: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
[2. 4. 6.]
标签：ubuntu19.1,cn,pypi,tsinghua,edu,tensorflow,packages 来源： https://www.cnblogs.com/forest128/p/14117470.html
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。