server computer anaconda

star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$ conda create -n wind1 python=3.6
Solving environment: done

==> WARNING: A newer version of conda exists. <==
  current version: 4.4.10
  latest version: 4.8.0

Please update conda by running

$ conda update -n base conda

## Package Plan ##

environment location: /home/star/anaconda3/envs/wind1

added / updated specs:
    - python=3.6

The following packages will be downloaded:

package                    |            build
    ---------------------------|-----------------
    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
    pip-19.3.1                 |           py36_0         1.9 MB
    setuptools-42.0.2          |           py36_0         653 KB
    openssl-1.1.1d             |       h7b6447c_3         3.7 MB
    tk-8.6.8                   |       hbc83047_0         3.1 MB
    ncurses-6.1                |       he6710b0_1         958 KB
    libedit-3.1.20181209       |       hc058e9b_0         188 KB
    sqlite-3.30.1              |       h7b6447c_0         1.9 MB
    _libgcc_mutex-0.1          |             main           3 KB
    xz-5.2.4                   |       h14c3975_4         366 KB
    python-3.6.9               |       h265db76_0        34.4 MB
    wheel-0.33.6               |           py36_0          40 KB
    readline-7.0               |       h7b6447c_5         392 KB
    zlib-1.2.11                |       h7b6447c_3         120 KB
    certifi-2019.11.28         |           py36_0         156 KB
    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB
    ca-certificates-2019.11.27 |                0         132 KB
    ------------------------------------------------------------
                                           Total:        60.2 MB

The following NEW packages will be INSTALLED:

_libgcc_mutex:   0.1-main               
    ca-certificates: 2019.11.27-0           
    certifi:         2019.11.28-py36_0      
    libedit:         3.1.20181209-hc058e9b_0
    libffi:          3.2.1-hd88cf55_4       
    libgcc-ng:       9.1.0-hdf63c60_0       
    libstdcxx-ng:    9.1.0-hdf63c60_0       
    ncurses:         6.1-he6710b0_1         
    openssl:         1.1.1d-h7b6447c_3      
    pip:             19.3.1-py36_0          
    python:          3.6.9-h265db76_0       
    readline:        7.0-h7b6447c_5         
    setuptools:      42.0.2-py36_0          
    sqlite:          3.30.1-h7b6447c_0      
    tk:              8.6.8-hbc83047_0       
    wheel:           0.33.6-py36_0          
    xz:              5.2.4-h14c3975_4       
    zlib:            1.2.11-h7b6447c_3

Proceed ([y]/n)? y

Downloading and Extracting Packages
libstdcxx-ng 9.1.0: ################################################################################################# | 100%
pip 19.3.1: ######################################################################################################### | 100%
setuptools 42.0.2: ################################################################################################## | 100%
openssl 1.1.1d: ##################################################################################################### | 100%
tk 8.6.8: ########################################################################################################### | 100%
ncurses 6.1: ######################################################################################################## | 100%
libedit 3.1.20181209: ############################################################################################### | 100%
sqlite 3.30.1: ###################################################################################################### | 100%
_libgcc_mutex 0.1: ################################################################################################## | 100%
xz 5.2.4: ########################################################################################################### | 100%
python 3.6.9: ####################################################################################################### | 100%
wheel 0.33.6: ####################################################################################################### | 100%
readline 7.0: ####################################################################################################### | 100%
zlib 1.2.11: ######################################################################################################## | 100%
certifi 2019.11.28: ################################################################################################# | 100%
libgcc-ng 9.1.0: #################################################################################################### | 100%
ca-certificates 2019.11.27: ######################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use:
# > source activate wind1
#
# To deactivate an active environment, use:
# > source deactivate
#

star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$
star@xmatrix:~/Anaconda$ source activate wind1
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ python
Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>>
>>> exit()
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip --version
pip 19.3.1 from /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pip (python 3.6)
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install --upgrade pip
Requirement already up-to-date: pip in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (19.3.1)
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install numpy
Collecting numpy
  Downloading https://files.pythonhosted.org/packages/d2/ab/43e678759326f728de861edbef34b8e2ad1b1490505f20e0d1f0716c3bf4/numpy-1.17.4-cp36-cp36m-manylinux1_x86_64.whl (20.0MB)
     |████████████████████████████████| 20.0MB 2.3MB/s
Installing collected packages: numpy
Successfully installed numpy-1.17.4
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install scipy
Collecting scipy
  Downloading https://files.pythonhosted.org/packages/dc/29/162476fd44203116e7980cfbd9352eef9db37c49445d1fec35509022f6aa/scipy-1.4.1-cp36-cp36m-manylinux1_x86_64.whl (26.1MB)
     |████████████████████████████████| 26.1MB 2.2MB/s
Requirement already satisfied: numpy>=1.13.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scipy) (1.17.4)
Installing collected packages: scipy
Successfully installed scipy-1.4.1
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install cython
Collecting cython
  Downloading https://files.pythonhosted.org/packages/df/d1/4d3f8a7a920e805488a966cc6ab55c978a712240f584445d703c08b9f405/Cython-0.29.14-cp36-cp36m-manylinux1_x86_64.whl (2.1MB)
     |████████████████████████████████| 2.1MB 1.1MB/s
Installing collected packages: cython
Successfully installed cython-0.29.14
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install h5py
Collecting h5py
  Downloading https://files.pythonhosted.org/packages/60/06/cafdd44889200e5438b897388f3075b52a8ef01f28a17366d91de0fa2d05/h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl (2.9MB)
     |████████████████████████████████| 2.9MB 767kB/s
Requirement already satisfied: numpy>=1.7 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from h5py) (1.17.4)
Collecting six
  Using cached https://files.pythonhosted.org/packages/65/26/32b8464df2a97e6dd1b656ed26b2c194606c16fe163c695a992b36c11cdf/six-1.13.0-py2.py3-none-any.whl
Installing collected packages: six, h5py
Successfully installed h5py-2.10.0 six-1.13.0
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install Pillow
Collecting Pillow
  Downloading https://files.pythonhosted.org/packages/10/5c/0e94e689de2476c4c5e644a3bd223a1c1b9e2bdb7c510191750be74fa786/Pillow-6.2.1-cp36-cp36m-manylinux1_x86_64.whl (2.1MB)
     |████████████████████████████████| 2.1MB 1.1MB/s
Installing collected packages: Pillow
Successfully installed Pillow-6.2.1
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install scikit-image
Collecting scikit-image
  Downloading https://files.pythonhosted.org/packages/c8/bb/771800366f41d66eef51e4b80515f8ef7edab234a3f244fdce3bafe89b39/scikit_image-0.16.2-cp36-cp36m-manylinux1_x86_64.whl (26.5MB)
     |████████████████████████████████| 26.5MB 1.7MB/s
Collecting networkx>=2.0
  Using cached https://files.pythonhosted.org/packages/41/8f/dd6a8e85946def36e4f2c69c84219af0fa5e832b018c970e92f2ad337e45/networkx-2.4-py3-none-any.whl
Collecting matplotlib!=3.0.0,>=2.0.0
  Downloading https://files.pythonhosted.org/packages/4e/11/06958a2b895a3853206dea1fb2a5b11bf044f626f90745987612af9c8f2c/matplotlib-3.1.2-cp36-cp36m-manylinux1_x86_64.whl (13.1MB)
     |████████████████████████████████| 13.1MB 1.9MB/s
Requirement already satisfied: scipy>=0.19.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image) (1.4.1)
Collecting PyWavelets>=0.4.0
  Downloading https://files.pythonhosted.org/packages/59/bb/d2b85265ec9fa3c1922210c9393d4cdf7075cc87cce6fe671d7455f80fbc/PyWavelets-1.1.1-cp36-cp36m-manylinux1_x86_64.whl (4.4MB)
     |████████████████████████████████| 4.4MB 927kB/s
Collecting imageio>=2.3.0
  Using cached https://files.pythonhosted.org/packages/1a/de/f7f985018f462ceeffada7f6e609919fbcc934acd9301929cba14bc2c24a/imageio-2.6.1-py3-none-any.whl
Requirement already satisfied: pillow>=4.3.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image) (6.2.1)
Collecting decorator>=4.3.0
  Downloading https://files.pythonhosted.org/packages/8f/b7/f329cfdc75f3d28d12c65980e4469e2fa373f1953f5df6e370e84ea2e875/decorator-4.4.1-py2.py3-none-any.whl
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1
  Downloading https://files.pythonhosted.org/packages/c0/0c/fc2e007d9a992d997f04a80125b0f183da7fb554f1de701bbb70a8e7d479/pyparsing-2.4.5-py2.py3-none-any.whl (67kB)
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Collecting cycler>=0.10
  Using cached https://files.pythonhosted.org/packages/f7/d2/e07d3ebb2bd7af696440ce7e754c59dd546ffe1bbe732c8ab68b9c834e61/cycler-0.10.0-py2.py3-none-any.whl
Collecting python-dateutil>=2.1
  Using cached https://files.pythonhosted.org/packages/d4/70/d60450c3dd48ef87586924207ae8907090de0b306af2bce5d134d78615cb/python_dateutil-2.8.1-py2.py3-none-any.whl
Collecting kiwisolver>=1.0.1
  Downloading https://files.pythonhosted.org/packages/f8/a1/5742b56282449b1c0968197f63eae486eca2c35dcd334bab75ad524e0de1/kiwisolver-1.1.0-cp36-cp36m-manylinux1_x86_64.whl (90kB)
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Requirement already satisfied: numpy>=1.11 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.17.4)
Requirement already satisfied: six in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from cycler>=0.10->matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.13.0)
Requirement already satisfied: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib!=3.0.0,>=2.0.0->scikit-image) (42.0.2.post20191203)
Installing collected packages: decorator, networkx, pyparsing, cycler, python-dateutil, kiwisolver, matplotlib, PyWavelets, imageio, scikit-image
Successfully installed PyWavelets-1.1.1 cycler-0.10.0 decorator-4.4.1 imageio-2.6.1 kiwisolver-1.1.0 matplotlib-3.1.2 networkx-2.4 pyparsing-2.4.5 python-dateutil-2.8.1 scikit-image-0.16.2
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install keras
Collecting keras
  Downloading https://files.pythonhosted.org/packages/ad/fd/6bfe87920d7f4fd475acd28500a42482b6b84479832bdc0fe9e589a60ceb/Keras-2.3.1-py2.py3-none-any.whl (377kB)
     |████████████████████████████████| 378kB 7.3kB/s
Requirement already satisfied: h5py in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (2.10.0)
Requirement already satisfied: six>=1.9.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (1.13.0)
Requirement already satisfied: scipy>=0.14 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (1.4.1)
Requirement already satisfied: numpy>=1.9.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (1.17.4)
Collecting keras-applications>=1.0.6
  Downloading https://files.pythonhosted.org/packages/71/e3/19762fdfc62877ae9102edf6342d71b28fbfd9dea3d2f96a882ce099b03f/Keras_Applications-1.0.8-py3-none-any.whl (50kB)
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Collecting pyyaml
  Downloading https://files.pythonhosted.org/packages/8d/c9/e5be955a117a1ac548cdd31e37e8fd7b02ce987f9655f5c7563c656d5dcb/PyYAML-5.2.tar.gz (265kB)
     |████████████████████████████████| 266kB 30kB/s
Collecting keras-preprocessing>=1.0.5
  Downloading https://files.pythonhosted.org/packages/28/6a/8c1f62c37212d9fc441a7e26736df51ce6f0e38455816445471f10da4f0a/Keras_Preprocessing-1.1.0-py2.py3-none-any.whl (41kB)
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Building wheels for collected packages: pyyaml
  Building wheel for pyyaml (setup.py) ... done
  Created wheel for pyyaml: filename=PyYAML-5.2-cp36-cp36m-linux_x86_64.whl size=44209 sha256=9966d7ec1273d9033e4e4d65822f97ff452322d9ac83b50aba50f2c9793e4d7a
  Stored in directory: /home/star/.cache/pip/wheels/54/b7/c7/2ada654ee54483c9329871665aaf4a6056c3ce36f29cf66e67
Successfully built pyyaml
Installing collected packages: keras-applications, pyyaml, keras-preprocessing, keras
Successfully installed keras-2.3.1 keras-applications-1.0.8 keras-preprocessing-1.1.0 pyyaml-5.2
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install theano
Collecting theano
  Downloading https://files.pythonhosted.org/packages/7d/c4/6341148ad458b6cd8361b774d7ee6895c38eab88f05331f22304c484ed5d/Theano-1.0.4.tar.gz (2.8MB)
     |████████████████████████████████| 2.8MB 2.0MB/s
Requirement already satisfied: numpy>=1.9.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from theano) (1.17.4)
Requirement already satisfied: scipy>=0.14 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from theano) (1.4.1)
Requirement already satisfied: six>=1.9.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from theano) (1.13.0)
Building wheels for collected packages: theano
  Building wheel for theano (setup.py) ... done
  Created wheel for theano: filename=Theano-1.0.4-cp36-none-any.whl size=2667178 sha256=8c65fed90c416dea8040b14712754a8389558a9088e2e88a646ac54cbbf37aeb
  Stored in directory: /home/star/.cache/pip/wheels/88/fb/be/483910ff7e9f703f30a10605ad7605f3316493875c86637014
Successfully built theano
Installing collected packages: theano
Successfully installed theano-1.0.4
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install jupyter
Collecting jupyter
  Downloading https://files.pythonhosted.org/packages/83/df/0f5dd132200728a86190397e1ea87cd76244e42d39ec5e88efd25b2abd7e/jupyter-1.0.0-py2.py3-none-any.whl
Collecting notebook
  Downloading https://files.pythonhosted.org/packages/f5/69/d2ffaf7efc20ce47469187e3a41e6e03e17b45de5a6559f4e7ab3eace5e1/notebook-6.0.2-py3-none-any.whl (9.7MB)
     |████████████████████████████████| 9.7MB 1.3MB/s
Collecting qtconsole
  Downloading https://files.pythonhosted.org/packages/7c/57/3528b84ffa753e2089908bbf74bb5ae60653eb7a63797b6234e88b847d67/qtconsole-4.6.0-py2.py3-none-any.whl (121kB)
     |████████████████████████████████| 122kB 230kB/s
Collecting ipykernel
  Downloading https://files.pythonhosted.org/packages/e1/92/8fec943b5b81078399f969f00557804d884c96fcd0bc296e81a2ed4fd270/ipykernel-5.1.3-py3-none-any.whl (116kB)
     |████████████████████████████████| 122kB 1.0MB/s
Collecting ipywidgets
  Downloading https://files.pythonhosted.org/packages/56/a0/dbcf5881bb2f51e8db678211907f16ea0a182b232c591a6d6f276985ca95/ipywidgets-7.5.1-py2.py3-none-any.whl (121kB)
     |████████████████████████████████| 122kB 1.9MB/s
Collecting nbconvert
  Downloading https://files.pythonhosted.org/packages/79/6c/05a569e9f703d18aacb89b7ad6075b404e8a4afde2c26b73ca77bb644b14/nbconvert-5.6.1-py2.py3-none-any.whl (455kB)
     |████████████████████████████████| 460kB 1.5MB/s
Collecting jupyter-console
  Downloading https://files.pythonhosted.org/packages/cb/ee/6374ae8c21b7d0847f9c3722dcdfac986b8e54fa9ad9ea66e1eb6320d2b8/jupyter_console-6.0.0-py2.py3-none-any.whl
Collecting nbformat
  Downloading https://files.pythonhosted.org/packages/da/27/9a654d2b6cc1eaa517d1c5a4405166c7f6d72f04f6e7eea41855fe808a46/nbformat-4.4.0-py2.py3-none-any.whl (155kB)
     |████████████████████████████████| 163kB 1.9MB/s
Collecting jupyter-core>=4.6.0
  Downloading https://files.pythonhosted.org/packages/fb/82/86437f661875e30682e99d04c13ba6c216f86f5f6ca6ef212d3ee8b6ca11/jupyter_core-4.6.1-py2.py3-none-any.whl (82kB)
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Collecting terminado>=0.8.1
  Downloading https://files.pythonhosted.org/packages/ff/96/1d9a2c23990aea8f8e0b5c3b6627d03196a73771a17a2d9860bbe9823ab6/terminado-0.8.3-py2.py3-none-any.whl
Collecting ipython-genutils
  Using cached https://files.pythonhosted.org/packages/fa/bc/9bd3b5c2b4774d5f33b2d544f1460be9df7df2fe42f352135381c347c69a/ipython_genutils-0.2.0-py2.py3-none-any.whl
Collecting Send2Trash
  Downloading https://files.pythonhosted.org/packages/49/46/c3dc27481d1cc57b9385aff41c474ceb7714f7935b1247194adae45db714/Send2Trash-1.5.0-py3-none-any.whl
Collecting pyzmq>=17
  Downloading https://files.pythonhosted.org/packages/94/07/cee3d328a2e13f9de1c2b62cced7a389b61ac81424f2e377f3dc9d668282/pyzmq-18.1.1-cp36-cp36m-manylinux1_x86_64.whl (1.1MB)
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Collecting prometheus-client
  Downloading https://files.pythonhosted.org/packages/b3/23/41a5a24b502d35a4ad50a5bb7202a5e1d9a0364d0c12f56db3dbf7aca76d/prometheus_client-0.7.1.tar.gz
Collecting jupyter-client>=5.3.4
  Downloading https://files.pythonhosted.org/packages/13/81/fe0eee1bcf949851a120254b1f530ae1e01bdde2d3ab9710c6ff81525061/jupyter_client-5.3.4-py2.py3-none-any.whl (92kB)
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Collecting traitlets>=4.2.1
  Downloading https://files.pythonhosted.org/packages/ca/ab/872a23e29cec3cf2594af7e857f18b687ad21039c1f9b922fac5b9b142d5/traitlets-4.3.3-py2.py3-none-any.whl (75kB)
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Collecting jinja2
  Downloading https://files.pythonhosted.org/packages/65/e0/eb35e762802015cab1ccee04e8a277b03f1d8e53da3ec3106882ec42558b/Jinja2-2.10.3-py2.py3-none-any.whl (125kB)
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Collecting tornado>=5.0
  Downloading https://files.pythonhosted.org/packages/30/78/2d2823598496127b21423baffaa186b668f73cd91887fcef78b6eade136b/tornado-6.0.3.tar.gz (482kB)
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Collecting pygments
  Downloading https://files.pythonhosted.org/packages/be/39/32da3184734730c0e4d3fa3b2b5872104668ad6dc1b5a73d8e477e5fe967/Pygments-2.5.2-py2.py3-none-any.whl (896kB)
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Collecting ipython>=5.0.0
  Downloading https://files.pythonhosted.org/packages/c4/c0/dc2e62d068f0f63910a3ab565a7fbbe1a20946b23f0945525826d9bbc98f/ipython-7.10.2-py3-none-any.whl (778kB)
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Collecting widgetsnbextension~=3.5.0
  Downloading https://files.pythonhosted.org/packages/6c/7b/7ac231c20d2d33c445eaacf8a433f4e22c60677eb9776c7c5262d7ddee2d/widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2MB)
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Collecting entrypoints>=0.2.2
  Downloading https://files.pythonhosted.org/packages/ac/c6/44694103f8c221443ee6b0041f69e2740d89a25641e62fb4f2ee568f2f9c/entrypoints-0.3-py2.py3-none-any.whl
Collecting defusedxml
  Downloading https://files.pythonhosted.org/packages/06/74/9b387472866358ebc08732de3da6dc48e44b0aacd2ddaa5cb85ab7e986a2/defusedxml-0.6.0-py2.py3-none-any.whl
Collecting testpath
  Downloading https://files.pythonhosted.org/packages/1b/9e/1a170feaa54f22aeb5a5d16c9015e82234275a3c8ab630b552493f9cb8a9/testpath-0.4.4-py2.py3-none-any.whl (163kB)
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Collecting pandocfilters>=1.4.1
  Downloading https://files.pythonhosted.org/packages/4c/ea/236e2584af67bb6df960832731a6e5325fd4441de001767da328c33368ce/pandocfilters-1.4.2.tar.gz
Collecting bleach
  Downloading https://files.pythonhosted.org/packages/ab/05/27e1466475e816d3001efb6e0a85a819be17411420494a1e602c36f8299d/bleach-3.1.0-py2.py3-none-any.whl (157kB)
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Collecting mistune<2,>=0.8.1
  Downloading https://files.pythonhosted.org/packages/09/ec/4b43dae793655b7d8a25f76119624350b4d65eb663459eb9603d7f1f0345/mistune-0.8.4-py2.py3-none-any.whl
Collecting prompt-toolkit<2.1.0,>=2.0.0
  Downloading https://files.pythonhosted.org/packages/87/61/2dfea88583d5454e3a64f9308a686071d58d59a55db638268a6413e1eb6d/prompt_toolkit-2.0.10-py3-none-any.whl (340kB)
     |████████████████████████████████| 348kB 1.6MB/s
Collecting jsonschema!=2.5.0,>=2.4
  Downloading https://files.pythonhosted.org/packages/c5/8f/51e89ce52a085483359217bc72cdbf6e75ee595d5b1d4b5ade40c7e018b8/jsonschema-3.2.0-py2.py3-none-any.whl (56kB)
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Collecting ptyprocess; os_name != "nt"
  Using cached https://files.pythonhosted.org/packages/d1/29/605c2cc68a9992d18dada28206eeada56ea4bd07a239669da41674648b6f/ptyprocess-0.6.0-py2.py3-none-any.whl
Requirement already satisfied: python-dateutil>=2.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from jupyter-client>=5.3.4->notebook->jupyter) (2.8.1)
Requirement already satisfied: six in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from traitlets>=4.2.1->notebook->jupyter) (1.13.0)
Requirement already satisfied: decorator in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from traitlets>=4.2.1->notebook->jupyter) (4.4.1)
Collecting MarkupSafe>=0.23
  Downloading https://files.pythonhosted.org/packages/b2/5f/23e0023be6bb885d00ffbefad2942bc51a620328ee910f64abe5a8d18dd1/MarkupSafe-1.1.1-cp36-cp36m-manylinux1_x86_64.whl
Requirement already satisfied: setuptools>=18.5 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from ipython>=5.0.0->ipykernel->jupyter) (42.0.2.post20191203)
Collecting backcall
  Using cached https://files.pythonhosted.org/packages/84/71/c8ca4f5bb1e08401b916c68003acf0a0655df935d74d93bf3f3364b310e0/backcall-0.1.0.tar.gz
Collecting pickleshare
  Using cached https://files.pythonhosted.org/packages/9a/41/220f49aaea88bc6fa6cba8d05ecf24676326156c23b991e80b3f2fc24c77/pickleshare-0.7.5-py2.py3-none-any.whl
Collecting pexpect; sys_platform != "win32"
  Using cached https://files.pythonhosted.org/packages/0e/3e/377007e3f36ec42f1b84ec322ee12141a9e10d808312e5738f52f80a232c/pexpect-4.7.0-py2.py3-none-any.whl
Collecting jedi>=0.10
  Downloading https://files.pythonhosted.org/packages/e9/97/55e575a5b49e5c3df9eb3c116c61021d7badf556c816be13bbd7baf55234/jedi-0.15.2-py2.py3-none-any.whl (1.1MB)
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Collecting webencodings
  Downloading https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl
Collecting wcwidth
  Using cached https://files.pythonhosted.org/packages/7e/9f/526a6947247599b084ee5232e4f9190a38f398d7300d866af3ab571a5bfe/wcwidth-0.1.7-py2.py3-none-any.whl
Collecting attrs>=17.4.0
  Downloading https://files.pythonhosted.org/packages/a2/db/4313ab3be961f7a763066401fb77f7748373b6094076ae2bda2806988af6/attrs-19.3.0-py2.py3-none-any.whl
Collecting pyrsistent>=0.14.0
  Downloading https://files.pythonhosted.org/packages/6c/6f/c1a2e8da80a0029f6b618d7e20e1a6f2a61dd04e2e54225309c2cc4268f7/pyrsistent-0.15.6.tar.gz (107kB)
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Collecting importlib-metadata; python_version < "3.8"
  Downloading https://files.pythonhosted.org/packages/e9/71/1a1e0ed0981bb6a67bce55a210f168126b7ebd2065958673797ea66489ca/importlib_metadata-1.3.0-py2.py3-none-any.whl
Collecting parso>=0.5.2
  Downloading https://files.pythonhosted.org/packages/9b/b0/90353a5ece0987279837835224dead0c424833a224195683e188d384e06b/parso-0.5.2-py2.py3-none-any.whl (99kB)
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Collecting zipp>=0.5
  Downloading https://files.pythonhosted.org/packages/74/3d/1ee25a26411ba0401b43c6376d2316a71addcc72ef8690b101b4ea56d76a/zipp-0.6.0-py2.py3-none-any.whl
Collecting more-itertools
  Downloading https://files.pythonhosted.org/packages/68/03/0604cec1ea13c9f063dd50f900d1a36160334dd3cfb01fd0e638f61b46ba/more_itertools-8.0.2-py3-none-any.whl (40kB)
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Building wheels for collected packages: prometheus-client, tornado, pandocfilters, backcall, pyrsistent
  Building wheel for prometheus-client (setup.py) ... done
  Created wheel for prometheus-client: filename=prometheus_client-0.7.1-cp36-none-any.whl size=41402 sha256=56bbf4b70f369bd3f639553609d50073a47784d97d4d8548b25d6669e483df6c
  Stored in directory: /home/star/.cache/pip/wheels/1c/54/34/fd47cd9b308826cc4292b54449c1899a30251ef3b506bc91ea
  Building wheel for tornado (setup.py) ... done
  Created wheel for tornado: filename=tornado-6.0.3-cp36-cp36m-linux_x86_64.whl size=418551 sha256=b52a0bbbd4b6031ed78adcb48ae89a37abab657e9402ea4642f3a2f1c1c9b1a9
  Stored in directory: /home/star/.cache/pip/wheels/84/bf/40/2f6ef700f48401ca40e5e3dd7d0e3c0a90e064897b7fe5fc08
  Building wheel for pandocfilters (setup.py) ... done
  Created wheel for pandocfilters: filename=pandocfilters-1.4.2-cp36-none-any.whl size=7856 sha256=d28894610e7642dfe5e73eb4e738154d6402f858890052f088c53f4fc609607c
  Stored in directory: /home/star/.cache/pip/wheels/39/01/56/f1b08a6275acc59e846fa4c1e1b65dbc1919f20157d9e66c20
  Building wheel for backcall (setup.py) ... done
  Created wheel for backcall: filename=backcall-0.1.0-cp36-none-any.whl size=10411 sha256=befca3a5efa66fdb2b2f809385fa12936cec6e2f07d949287b9fa40a1c7bb3f7
  Stored in directory: /home/star/.cache/pip/wheels/98/b0/dd/29e28ff615af3dda4c67cab719dd51357597eabff926976b45
  Building wheel for pyrsistent (setup.py) ... done
  Created wheel for pyrsistent: filename=pyrsistent-0.15.6-cp36-cp36m-linux_x86_64.whl size=113166 sha256=d6a02ac8912c56ad0f00789f45a58b5a611574584fb7ece86c3f7f7b8e21e442
  Stored in directory: /home/star/.cache/pip/wheels/83/89/d3/1712b9c33c9b9c0911b188a86aeff2a9a05e113f986cf79d92
Successfully built prometheus-client tornado pandocfilters backcall pyrsistent
Installing collected packages: ipython-genutils, traitlets, jupyter-core, attrs, pyrsistent, more-itertools, zipp, importlib-metadata, jsonschema, nbformat, tornado, pyzmq, jupyter-client, wcwidth, prompt-toolkit, backcall, pickleshare, ptyprocess, pexpect, pygments, parso, jedi, ipython, ipykernel, terminado, Send2Trash, prometheus-client, entrypoints, defusedxml, testpath, pandocfilters, MarkupSafe, jinja2, webencodings, bleach, mistune, nbconvert, notebook, qtconsole, widgetsnbextension, ipywidgets, jupyter-console, jupyter
Successfully installed MarkupSafe-1.1.1 Send2Trash-1.5.0 attrs-19.3.0 backcall-0.1.0 bleach-3.1.0 defusedxml-0.6.0 entrypoints-0.3 importlib-metadata-1.3.0 ipykernel-5.1.3 ipython-7.10.2 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.15.2 jinja2-2.10.3 jsonschema-3.2.0 jupyter-1.0.0 jupyter-client-5.3.4 jupyter-console-6.0.0 jupyter-core-4.6.1 mistune-0.8.4 more-itertools-8.0.2 nbconvert-5.6.1 nbformat-4.4.0 notebook-6.0.2 pandocfilters-1.4.2 parso-0.5.2 pexpect-4.7.0 pickleshare-0.7.5 prometheus-client-0.7.1 prompt-toolkit-2.0.10 ptyprocess-0.6.0 pygments-2.5.2 pyrsistent-0.15.6 pyzmq-18.1.1 qtconsole-4.6.0 terminado-0.8.3 testpath-0.4.4 tornado-6.0.3 traitlets-4.3.3 wcwidth-0.1.7 webencodings-0.5.1 widgetsnbextension-3.5.1 zipp-0.6.0
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ pip install six
Requirement already satisfied: six in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (1.13.0)
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ ls
Anaconda3-5.1.0-Linux-x86_64.sh
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ git clone https://github.com/waleedka/coco.git
Cloning into 'coco'...
remote: Enumerating objects: 904, done.
error: RPC failed; curl 56 GnuTLS recv error (-54): Error in the pull function.
fatal: The remote end hung up unexpectedly
fatal: early EOF
fatal: index-pack failed
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ git clone https://github.com/waleedka/coco.git
Cloning into 'coco'...
remote: Enumerating objects: 904, done.
remote: Total 904 (delta 0), reused 0 (delta 0), pack-reused 904
Receiving objects: 100% (904/904), 10.38 MiB | 39.00 KiB/s, done.
Resolving deltas: 100% (542/542), done.
Checking connectivity... done.
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ ls
Anaconda3-5.1.0-Linux-x86_64.sh  coco
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$
(wind1) star@xmatrix:~/Anaconda$ cd coco
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$ ls
common  license.txt  LuaAPI  MatlabAPI  PythonAPI  README.txt  results
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$
(wind1) star@xmatrix:~/Anaconda/coco$ cd PythonAPI
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ ls
Makefile  pycocoDemo.ipynb  pycocoEvalDemo.ipynb  pycocotools  setup.py
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python setup.py build_ext install
Compiling pycocotools/_mask.pyx because it changed.
[1/1] Cythonizing pycocotools/_mask.pyx
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /home/star/Anaconda/coco/PythonAPI/pycocotools/_mask.pyx
  tree = Parsing.p_module(s, pxd, full_module_name)
running build_ext
building 'pycocotools._mask' extension
creating build
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/pycocotools
creating build/common
gcc -pthread -B /home/star/anaconda3/envs/wind1/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/star/anaconda3/envs/wind1/include/python3.6m -c pycocotools/_mask.c -o build/temp.linux-x86_64-3.6/pycocotools/_mask.o -Wno-cpp -Wno-unused-function -std=c99
gcc -pthread -B /home/star/anaconda3/envs/wind1/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/star/anaconda3/envs/wind1/include/python3.6m -c ../common/maskApi.c -o build/temp.linux-x86_64-3.6/../common/maskApi.o -Wno-cpp -Wno-unused-function -std=c99
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/pycocotools
gcc -pthread -shared -B /home/star/anaconda3/envs/wind1/compiler_compat -L/home/star/anaconda3/envs/wind1/lib -Wl,-rpath=/home/star/anaconda3/envs/wind1/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/pycocotools/_mask.o build/temp.linux-x86_64-3.6/../common/maskApi.o -o build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so
running install
running build
running build_py
copying pycocotools/cocoeval.py -> build/lib.linux-x86_64-3.6/pycocotools
copying pycocotools/__init__.py -> build/lib.linux-x86_64-3.6/pycocotools
copying pycocotools/coco.py -> build/lib.linux-x86_64-3.6/pycocotools
copying pycocotools/mask.py -> build/lib.linux-x86_64-3.6/pycocotools
running install_lib
creating /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
copying build/lib.linux-x86_64-3.6/pycocotools/cocoeval.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
copying build/lib.linux-x86_64-3.6/pycocotools/__init__.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
copying build/lib.linux-x86_64-3.6/pycocotools/coco.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
copying build/lib.linux-x86_64-3.6/pycocotools/mask.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
copying build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/cocoeval.py to cocoeval.cpython-36.pyc
byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/__init__.py to __init__.cpython-36.pyc
byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/coco.py to coco.cpython-36.pyc
byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/mask.py to mask.cpython-36.pyc
running install_egg_info
Writing /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools-2.0-py3.6.egg-info
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$

(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ cat /usr/local/cuda/version.txt  
CUDA Version 10.1.105
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$

=========================================================================

GPU

Version	Python version	Compiler	Build tools	cuDNN	CUDA
tensorflow-2.0.0	2.7, 3.3-3.7	GCC 7.3.1	Bazel 0.26.1	7.4	10.0
tensorflow_gpu-1.14.0	2.7, 3.3-3.7	GCC 4.8	Bazel 0.24.1	7.4	10.0
tensorflow_gpu-1.13.1	2.7, 3.3-3.7	GCC 4.8	Bazel 0.19.2	7.4	10.0
tensorflow_gpu-1.12.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.15.0	7	9
tensorflow_gpu-1.11.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.15.0	7	9
tensorflow_gpu-1.10.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.15.0	7	9
tensorflow_gpu-1.9.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.11.0	7	9
tensorflow_gpu-1.8.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.10.0	7	9
tensorflow_gpu-1.7.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.9.0	7	9
tensorflow_gpu-1.6.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.9.0	7	9
tensorflow_gpu-1.5.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.8.0	7	9
tensorflow_gpu-1.4.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.5.4	6	8
tensorflow_gpu-1.3.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.4.5	6	8
tensorflow_gpu-1.2.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.4.5	5.1	8
tensorflow_gpu-1.1.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.4.2	5.1	8
tensorflow_gpu-1.0.0	2.7, 3.3-3.6	GCC 4.8	Bazel 0.4.2	5.1	8

(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install tensorflow-gpu==1.14.0
Collecting tensorflow-gpu==1.14.0
  Downloading https://files.pythonhosted.org/packages/b1/8c/35ba6f94dd9729517b899c3ba764e604ffe22daeba04f7c771dd452ba55b/tensorflow_gpu-1.14.0-cp36-cp36m-manylinux1_x86_64.whl (209.2MB)
     |████████████████████████████████| 209.2MB 112kB/s
Collecting absl-py>=0.1.6
  Downloading https://files.pythonhosted.org/packages/1a/53/9243c600e047bd4c3df9e69cfabc1e8004a82cac2e0c484580a78a94ba2a/absl-py-0.9.0.tar.gz (104kB)
     |████████████████████████████████| 112kB 2.5MB/s
Collecting termcolor>=1.1.0
  Downloading https://files.pythonhosted.org/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz
Requirement already satisfied: wheel>=0.26 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.6.0) (0.33.6)
Collecting astor>=0.6.0
  Downloading https://files.pythonhosted.org/packages/c3/88/97eef84f48fa04fbd6750e62dcceafba6c63c81b7ac1420856c8dcc0a3f9/astor-0.8.1-py2.py3-none-any.whl
Collecting tensorboard<1.7.0,>=1.6.0
  Downloading https://files.pythonhosted.org/packages/b0/67/a8c91665987d359211dcdca5c8b2a7c1e0876eb0702a4383c1e4ff76228d/tensorboard-1.6.0-py3-none-any.whl (3.0MB)
     |████████████████████████████████| 3.1MB 896kB/s
Collecting protobuf>=3.4.0
  Downloading https://files.pythonhosted.org/packages/ca/ac/838c8c8a5f33a58132dd2ad2a30329f6ae1614a9f56ffb79eaaf71a9d156/protobuf-3.11.2-cp36-cp36m-manylinux1_x86_64.whl (1.3MB)
     |████████████████████████████████| 1.3MB 1.3MB/s
Collecting grpcio>=1.8.6
  Downloading https://files.pythonhosted.org/packages/17/8f/f79c5c174bebece41f824dd7b1ba98da45dc2d4c373b38ac6a7f6a5acb5e/grpcio-1.26.0-cp36-cp36m-manylinux2010_x86_64.whl (2.4MB)
     |████████████████████████████████| 2.4MB 112kB/s
Requirement already satisfied: numpy>=1.13.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.6.0) (1.17.4)
Requirement already satisfied: six>=1.10.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.6.0) (1.13.0)
Collecting gast>=0.2.0
  Downloading https://files.pythonhosted.org/packages/1f/04/4e36c33f8eb5c5b6c622a1f4859352a6acca7ab387257d4b3c191d23ec1d/gast-0.3.2.tar.gz
Collecting werkzeug>=0.11.10
  Downloading https://files.pythonhosted.org/packages/ce/42/3aeda98f96e85fd26180534d36570e4d18108d62ae36f87694b476b83d6f/Werkzeug-0.16.0-py2.py3-none-any.whl (327kB)
     |████████████████████████████████| 327kB 1.3MB/s
Collecting bleach==1.5.0
  Downloading https://files.pythonhosted.org/packages/33/70/86c5fec937ea4964184d4d6c4f0b9551564f821e1c3575907639036d9b90/bleach-1.5.0-py2.py3-none-any.whl
Collecting html5lib==0.9999999
  Downloading https://files.pythonhosted.org/packages/ae/ae/bcb60402c60932b32dfaf19bb53870b29eda2cd17551ba5639219fb5ebf9/html5lib-0.9999999.tar.gz (889kB)
     |████████████████████████████████| 890kB 892kB/s
Collecting markdown>=2.6.8
  Downloading https://files.pythonhosted.org/packages/c0/4e/fd492e91abdc2d2fcb70ef453064d980688762079397f779758e055f6575/Markdown-3.1.1-py2.py3-none-any.whl (87kB)
     |████████████████████████████████| 92kB 1.9MB/s
Requirement already satisfied: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorflow-gpu==1.6.0) (42.0.2.post20191203)
Building wheels for collected packages: absl-py, termcolor, gast, html5lib
  Building wheel for absl-py (setup.py) ... done
  Created wheel for absl-py: filename=absl_py-0.9.0-cp36-none-any.whl size=121931 sha256=853a0ae7726109a4dfae1cdeead114dc08ac22c2fe8d46ec0cc81814dacd1520
  Stored in directory: /home/star/.cache/pip/wheels/8e/28/49/fad4e7f0b9a1227708cbbee4487ac8558a7334849cb81c813d
  Building wheel for termcolor (setup.py) ... done
  Created wheel for termcolor: filename=termcolor-1.1.0-cp36-none-any.whl size=4832 sha256=70f3a7c691079a83853a9bf27aae505fdd604aaadeed7de397b1ce1a3988cdd0
  Stored in directory: /home/star/.cache/pip/wheels/7c/06/54/bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6
  Building wheel for gast (setup.py) ... done
  Created wheel for gast: filename=gast-0.3.2-cp36-none-any.whl size=9679 sha256=aa59b3f7cf1a15ba0b0d794c1993042f91e81bb66309c74b911bdbae0117b172
  Stored in directory: /home/star/.cache/pip/wheels/59/38/c6/234dc39b4f6951a0768fbc02d5b7207137a5b1d9094f0d54bf
  Building wheel for html5lib (setup.py) ... done
  Created wheel for html5lib: filename=html5lib-0.9999999-cp36-none-any.whl size=107221 sha256=afd7e13e86064638b0b204da1d16743e7841487137a019b63276943c31dea371
  Stored in directory: /home/star/.cache/pip/wheels/50/ae/f9/d2b189788efcf61d1ee0e36045476735c838898eef1cad6e29
Successfully built absl-py termcolor gast html5lib
Installing collected packages: absl-py, termcolor, astor, werkzeug, html5lib, bleach, protobuf, markdown, tensorboard, grpcio, gast, tensorflow-gpu
  Found existing installation: bleach 3.1.0
    Uninstalling bleach-3.1.0:
      Successfully uninstalled bleach-3.1.0
Successfully installed absl-py-0.9.0 astor-0.8.1 bleach-1.5.0 gast-0.3.2 grpcio-1.26.0 html5lib-0.9999999 markdown-3.1.1 protobuf-3.11.2 tensorboard-1.6.0 tensorflow-gpu-1.6.0 termcolor-1.1.0 werkzeug-0.16.0
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$

(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install --upgrade tensorflow-gpu==1.14.0
Collecting tensorflow-gpu==1.14.0
  Downloading https://files.pythonhosted.org/packages/76/04/43153bfdfcf6c9a4c38ecdb971ca9a75b9a791bb69a764d652c359aca504/tensorflow_gpu-1.14.0-cp36-cp36m-manylinux1_x86_64.whl (377.0MB)
     |████████████████████████████████| 377.0MB 63kB/s
Requirement already satisfied, skipping upgrade: six>=1.10.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.13.0)
Requirement already satisfied, skipping upgrade: termcolor>=1.1.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.1.0)
Requirement already satisfied, skipping upgrade: numpy<2.0,>=1.14.5 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.17.4)
Requirement already satisfied, skipping upgrade: keras-preprocessing>=1.0.5 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.1.0)
Requirement already satisfied, skipping upgrade: grpcio>=1.8.6 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.26.0)
Requirement already satisfied, skipping upgrade: astor>=0.6.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.8.1)
Collecting google-pasta>=0.1.6
  Downloading https://files.pythonhosted.org/packages/c3/fd/1e86bc4837cc9a3a5faf3db9b1854aa04ad35b5f381f9648fbe81a6f94e4/google_pasta-0.1.8-py3-none-any.whl (57kB)
     |████████████████████████████████| 61kB 6.9MB/s
Requirement already satisfied, skipping upgrade: wheel>=0.26 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.33.6)
Requirement already satisfied, skipping upgrade: keras-applications>=1.0.6 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.0.8)
Requirement already satisfied, skipping upgrade: protobuf>=3.6.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (3.11.2)
Collecting wrapt>=1.11.1
  Downloading https://files.pythonhosted.org/packages/23/84/323c2415280bc4fc880ac5050dddfb3c8062c2552b34c2e512eb4aa68f79/wrapt-1.11.2.tar.gz
Requirement already satisfied, skipping upgrade: absl-py>=0.7.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.9.0)
Collecting tensorboard<1.15.0,>=1.14.0
  Downloading https://files.pythonhosted.org/packages/91/2d/2ed263449a078cd9c8a9ba50ebd50123adf1f8cfbea1492f9084169b89d9/tensorboard-1.14.0-py3-none-any.whl (3.1MB)
     |████████████████████████████████| 3.2MB 3.0MB/s
Requirement already satisfied, skipping upgrade: gast>=0.2.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.3.2)
Collecting tensorflow-estimator<1.15.0rc0,>=1.14.0rc0
  Downloading https://files.pythonhosted.org/packages/3c/d5/21860a5b11caf0678fbc8319341b0ae21a07156911132e0e71bffed0510d/tensorflow_estimator-1.14.0-py2.py3-none-any.whl (488kB)
     |████████████████████████████████| 491kB 12.0MB/s
Requirement already satisfied, skipping upgrade: h5py in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras-applications>=1.0.6->tensorflow-gpu==1.14.0) (2.10.0)
Requirement already satisfied, skipping upgrade: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from protobuf>=3.6.1->tensorflow-gpu==1.14.0) (42.0.2.post20191203)
Requirement already satisfied, skipping upgrade: markdown>=2.6.8 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow-gpu==1.14.0) (3.1.1)
Requirement already satisfied, skipping upgrade: werkzeug>=0.11.15 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow-gpu==1.14.0) (0.16.0)
Building wheels for collected packages: wrapt
  Building wheel for wrapt (setup.py) ... done
  Created wheel for wrapt: filename=wrapt-1.11.2-cp36-cp36m-linux_x86_64.whl size=66187 sha256=cf3c23bd5d7b52a943de89b1178be46c0da22aab37701b847c52715881a644eb
  Stored in directory: /home/star/.cache/pip/wheels/d7/de/2e/efa132238792efb6459a96e85916ef8597fcb3d2ae51590dfd
Successfully built wrapt
Installing collected packages: google-pasta, wrapt, tensorboard, tensorflow-estimator, tensorflow-gpu
  Found existing installation: tensorboard 1.6.0
    Uninstalling tensorboard-1.6.0:
      Successfully uninstalled tensorboard-1.6.0
  Found existing installation: tensorflow-gpu 1.6.0
    Uninstalling tensorflow-gpu-1.6.0:
      Successfully uninstalled tensorflow-gpu-1.6.0
Successfully installed google-pasta-0.1.8 tensorboard-1.14.0 tensorflow-estimator-1.14.0 tensorflow-gpu-1.14.0 wrapt-1.11.2
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python
Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>>
>>>
>>>
>>>
>>> import tensorflow as tf
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
>>>
>>>
>>>
>>>
>>> exit()
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ numpy --version
numpy: command not found
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python -c "import numpy;print(numpy.__version__)"
1.17.4
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install --upgrade numpy==1.16.4
Collecting numpy==1.16.4
  Downloading https://files.pythonhosted.org/packages/87/2d/e4656149cbadd3a8a0369fcd1a9c7d61cc7b87b3903b85389c70c989a696/numpy-1.16.4-cp36-cp36m-manylinux1_x86_64.whl (17.3MB)
     |████████████████████████████████| 17.3MB 999kB/s
Installing collected packages: numpy
  Found existing installation: numpy 1.17.4
    Uninstalling numpy-1.17.4:
      Successfully uninstalled numpy-1.17.4
Successfully installed numpy-1.16.4
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python
Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>>
>>> import tensorflow as tf
>>>
>>> hello = tf.constant("Hello tensorflow")
>>> sess1 = tf.Session()
2019-12-22 16:00:39.194022: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-12-22 16:00:39.607314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
pciBusID: 0000:02:00.0
2019-12-22 16:00:39.607607: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2019-12-22 16:00:39.609172: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
2019-12-22 16:00:39.623878: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
2019-12-22 16:00:39.627907: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
2019-12-22 16:00:39.629348: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
2019-12-22 16:00:39.646260: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
2019-12-22 16:00:39.649493: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-12-22 16:00:39.651180: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
2019-12-22 16:00:39.651586: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-12-22 16:00:39.756348: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x559634bd2450 executing computations on platform CUDA. Devices:
2019-12-22 16:00:39.756398: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Tesla P4, Compute Capability 6.1
2019-12-22 16:00:39.778894: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3092805000 Hz
2019-12-22 16:00:39.780564: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x559634c96e50 executing computations on platform Host. Devices:
2019-12-22 16:00:39.780627: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): <undefined>, <undefined>
2019-12-22 16:00:39.782487: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
pciBusID: 0000:02:00.0
2019-12-22 16:00:39.782591: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2019-12-22 16:00:39.782630: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
2019-12-22 16:00:39.782661: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
2019-12-22 16:00:39.782690: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
2019-12-22 16:00:39.782718: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
2019-12-22 16:00:39.782746: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
2019-12-22 16:00:39.782775: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-12-22 16:00:39.785958: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
2019-12-22 16:00:39.786036: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2019-12-22 16:00:39.787687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-12-22 16:00:39.787708: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      0
2019-12-22 16:00:39.787717: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0:   N
2019-12-22 16:00:39.789688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7123 MB memory) -> physical GPU (device: 0, name: Tesla P4, pci bus id: 0000:02:00.0, compute capability: 6.1)
>>> sess.run(hello)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'sess' is not defined
>>>
>>>
>>> sess1.run(hello)
b'Hello tensorflow'
>>>
>>>
>>>
>>>
>>>
>>> exit();
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install opencv-python
Collecting opencv-python
  Downloading https://files.pythonhosted.org/packages/c0/a9/9828dfaf93f40e190ebfb292141df6b7ea1a2d57b46263e757f52be8589f/opencv_python-4.1.2.30-cp36-cp36m-manylinux1_x86_64.whl (28.3MB)
     |████████████████████████████████| 28.3MB 760kB/s
Requirement already satisfied: numpy>=1.11.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from opencv-python) (1.16.4)
Installing collected packages: opencv-python
Successfully installed opencv-python-4.1.2.30
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install imgaug
Collecting imgaug
  Using cached https://files.pythonhosted.org/packages/11/df/5a3bba95b4600d5ca7aff072082ef0d9837056dd28cc4e738e7ce88dd8f8/imgaug-0.3.0-py2.py3-none-any.whl
Requirement already satisfied: Pillow in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (6.2.1)
Requirement already satisfied: numpy>=1.15 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (1.16.4)
Collecting opencv-python-headless
  Downloading https://files.pythonhosted.org/packages/5d/96/b2824df85d8c5f148125e4fee073a62fde17639502fe67042b212ebfe488/opencv_python_headless-4.1.2.30-cp36-cp36m-manylinux1_x86_64.whl (21.8MB)
     |████████████████████████████████| 21.8MB 4.3MB/s
Requirement already satisfied: imageio in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (2.6.1)
Requirement already satisfied: six in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (1.13.0)
Requirement already satisfied: scikit-image>=0.14.2 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (0.16.2)
Collecting Shapely
  Downloading https://files.pythonhosted.org/packages/38/b6/b53f19062afd49bb5abd049aeed36f13bf8d57ef8f3fa07a5203531a0252/Shapely-1.6.4.post2-cp36-cp36m-manylinux1_x86_64.whl (1.5MB)
     |████████████████████████████████| 1.5MB 11.8MB/s
Requirement already satisfied: matplotlib in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (3.1.2)
Requirement already satisfied: scipy in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (1.4.1)
Requirement already satisfied: PyWavelets>=0.4.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image>=0.14.2->imgaug) (1.1.1)
Requirement already satisfied: networkx>=2.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image>=0.14.2->imgaug) (2.4)
Requirement already satisfied: python-dateutil>=2.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (2.8.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (2.4.5)
Requirement already satisfied: kiwisolver>=1.0.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (1.1.0)
Requirement already satisfied: cycler>=0.10 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (0.10.0)
Requirement already satisfied: decorator>=4.3.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from networkx>=2.0->scikit-image>=0.14.2->imgaug) (4.4.1)
Requirement already satisfied: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib->imgaug) (42.0.2.post20191203)
Installing collected packages: opencv-python-headless, Shapely, imgaug
Successfully installed Shapely-1.6.4.post2 imgaug-0.3.0 opencv-python-headless-4.1.2.30
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ python mask_2019122101.py
Using TensorFlow backend.
VIDEOIO ERROR: V4L2: Pixel format of incoming image is unsupported by OpenCV
[ WARN:0] global /io/opencv/modules/videoio/src/cap_v4l.cpp (802) open VIDEOIO ERROR: V4L: can't open camera by index 0

Configurations:
BACKBONE                       resnet101
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
COMPUTE_BACKBONE_SHAPE         None
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.7
DETECTION_NMS_THRESHOLD        0.3
FPN_CLASSIF_FC_LAYERS_SIZE     1024
GPU_COUNT                      1
GRADIENT_CLIP_NORM             5.0
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  320
IMAGE_META_SIZE                15
IMAGE_MIN_DIM                  32
IMAGE_MIN_SCALE                0
IMAGE_RESIZE_MODE              square
IMAGE_SHAPE                    [320 320   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           shapes
NUM_CLASSES                    3
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (48, 96, 192, 384, 768)
RPN_ANCHOR_STRIDE              1
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                50
TOP_DOWN_PYRAMID_SIZE          256
TRAIN_BN                       False
TRAIN_ROIS_PER_IMAGE           100
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               10
WEIGHT_DECAY                   0.0001

WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4070: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:341: The name tf.log is deprecated. Please use tf.math.log instead.

WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:399: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:423: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:723: The name tf.sets.set_intersection is deprecated. Please use tf.sets.intersection instead.

WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:725: The name tf.sparse_tensor_to_dense is deprecated. Please use tf.sparse.to_dense instead.

WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:775: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
Traceback (most recent call last):
  File "mask_2019122101.py", line 151, in <module>
    cv2.namedWindow('RealSense1', cv2.WINDOW_AUTOSIZE)
cv2.error: OpenCV(4.1.2) /io/opencv/modules/highgui/src/window.cpp:634: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvNamedWindow'

(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ pip install libgtk2.0-dev
ERROR: Could not find a version that satisfies the requirement libgtk2.0-dev (from versions: none)
ERROR: No matching distribution found for libgtk2.0-dev
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ pip install --upgrade opencv-python==3.6
ERROR: Could not find a version that satisfies the requirement opencv-python==3.6 (from versions: 3.1.0.4, 3.1.0.5, 3.2.0.6, 3.2.0.7, 3.2.0.8, 3.3.0.9, 3.3.0.10, 3.3.1.11, 3.4.0.12, 3.4.0.14, 3.4.1.15, 3.4.2.16, 3.4.2.17, 3.4.3.18, 3.4.4.19, 3.4.5.20, 3.4.6.27, 3.4.7.28, 3.4.8.29, 4.0.0.21, 4.0.1.23, 4.0.1.24, 4.1.0.25, 4.1.1.26, 4.1.2.30)
ERROR: No matching distribution found for opencv-python==3.6
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ pip install --upgrade opencv-python==3.4.6.27
Collecting opencv-python==3.4.6.27
  Downloading https://files.pythonhosted.org/packages/67/ad/61fc70ccab6b902876943f0a5189956a8cb219ca53db67680110bfea05f0/opencv_python-3.4.6.27-cp36-cp36m-manylinux1_x86_64.whl (28.4MB)
     |████████████████████████████████| 28.4MB 451kB/s
Requirement already satisfied, skipping upgrade: numpy>=1.11.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from opencv-python==3.4.6.27) (1.16.4)
Installing collected packages: opencv-python
  Found existing installation: opencv-python 4.1.2.30
    Uninstalling opencv-python-4.1.2.30:
      Successfully uninstalled opencv-python-4.1.2.30
Successfully installed opencv-python-3.4.6.27
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$

(wind1) star@xmatrix:~$
(wind1) star@xmatrix:~$
(wind1) star@xmatrix:~$ pip install --user pyrealsense2
Collecting pyrealsense2
  Downloading https://files.pythonhosted.org/packages/e9/2b/ff8bab9b03950e151408291d68b5e78d22ea47adbf5e64e51ecc875e4907/pyrealsense2-2.31.0.1235-cp36-cp36m-manylinux1_x86_64.whl (9.2MB)
     |████████████████████████████████| 9.2MB 156kB/s
Installing collected packages: pyrealsense2
Successfully installed pyrealsense2-2.31.0.1235
(wind1) star@xmatrix:~$
(wind1) star@xmatrix:~$

pylibrealsense2安装

https://blog.csdn.net/qq_42393859/article/details/85044330