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"윈도우 아나콘다 TensorFlow 설치"의 두 판 사이의 차이

 
(사용자 2명의 중간 판 12개는 보이지 않습니다)
3번째 줄: 3번째 줄:


==사전작업==
==사전작업==
* [[윈도우 파이썬 설치]]
* [[윈도우 아나콘다 설치]]
* [[윈도우 아나콘다 설치]]


==설치==
==설치==
* {{키|Win}} --- 모든 프로그램 --- Anaconda3 (64-bit) --- Anaconda Prompt 실행
* {{키|Win}} --- Anaconda Prompt (anaconda3) 실행
<source lang='doscon'>
(C:\ProgramData\Anaconda3) C:\Users\jmnote>python -V
Python 3.6.3 :: Anaconda, Inc.
</source>
<source lang='doscon'>
(C:\ProgramData\Anaconda3) C:\Users\jmnote>conda create -n tensorflow python=3.
6
Fetching package metadata .............
Solving package specifications: .


Package plan for installation in environment C:\ProgramData\Anaconda3\envs\tenso
<syntaxhighlight lang='doscon'>
rflow:
(base) C:\Users\jmnote>pip install tensorflow
Collecting tensorflow
  Downloading tensorflow-2.4.1-cp38-cp38-win_amd64.whl (370.7 MB)
    |████████████████████████████████| 370.7 MB 110 kB/s
Collecting gast==0.3.3
  Downloading gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
Collecting numpy~=1.19.2
  Downloading numpy-1.19.5-cp38-cp38-win_amd64.whl (13.3 MB)
    |████████████████████████████████| 13.3 MB 1.7 MB/s
...
Successfully built termcolor
Installing collected packages: urllib3, pyasn1, idna, chardet, rsa, requests, pyasn1-modules, oauthlib, cachetools, requests-oauthlib, google-auth, werkzeug, tensorboard-plugin-wit, protobuf, numpy, markdown, grpcio, google-auth-oauthlib, absl-py, typing-extensions, termcolor, tensorflow-estimator, tensorboard, opt-einsum, keras-preprocessing, h5py, google-pasta, gast, flatbuffers, astunparse, tensorflow
Successfully installed absl-py-0.12.0 astunparse-1.6.3 cachetools-4.2.1 chardet-4.0.0 flatbuffers-1.12 gast-0.3.3 google-auth-1.27.1 google-auth-oauthlib-0.4.3 google-pasta-0.2.0 grpcio-1.32.0 h5py-2.10.0 idna-2.10 keras-preprocessing-1.1.2 markdown-3.3.4 numpy-1.19.5 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.15.5 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7.2 tensorboard-2.4.1 tensorboard-plugin-wit-1.8.0 tensorflow-2.4.1 tensorflow-estimator-2.4.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.3 werkzeug-1.0.1
</syntaxhighlight>


The following NEW packages will be INSTALLED:
==확인==
 
<syntaxhighlight lang='doscon'>
    certifi:        2017.11.5-py36hb8ac631_0
(base) C:\Users\jmnote>pip list --format=columns | findstr tensorflow
    pip:            9.0.1-py36h226ae91_4
tensorflow             2.4.1
    python:        3.6.3-h3b118a2_4
tensorflow-estimator   2.4.0
    setuptools:    36.5.0-py36h65f9e6e_0
</syntaxhighlight>
    vc:            14-h2379b0c_2
    vs2015_runtime: 14.0.25123-hd4c4e62_2
    wheel:          0.30.0-py36h6c3ec14_1
    wincertstore:  0.2-py36h7fe50ca_0
 
Proceed ([y]/n)?
</source>
<source lang='doscon'>
python-3.6.3-h 100% |###############################| Time: 0:00:01  11.80 MB/s
certifi-2017.1 100% |###############################| Time: 0:00:00  12.56 MB/s
wheel-0.30.0-p 100% |###############################| Time: 0:00:00  14.48 MB/s
pip-9.0.1-py36 100% |###############################| Time: 0:00:00  11.63 MB/s
#
# To activate this environment, use:
# > activate tensorflow
#
# To deactivate an active environment, use:
# > deactivate
#
# * for power-users using bash, you must source
#
</source>
<source lang='doscon'>
(C:\ProgramData\Anaconda3) C:\Users\jmnote>activate tensorflow
 
(tensorflow) C:\Users\jmnote>pip install tensorflow
</source>
<source lang='doscon'>
(tensorflow) C:\Users\jmnote>pip install tensorflow
Collecting tensorflow
  Downloading tensorflow-1.4.0-cp36-cp36m-win_amd64.whl (28.3MB)
    100% |████████████████████████████████| 28.3MB 755kB/s
Requirement already satisfied: wheel>=0.26 in c:\programdata\anaconda3\envs\tens
orflow\lib\site-packages (from tensorflow)
Collecting enum34>=1.1.6 (from tensorflow)
  Downloading enum34-1.1.6-py3-none-any.whl
Collecting protobuf>=3.3.0 (from tensorflow)
  Downloading protobuf-3.5.0.post1-py2.py3-none-any.whl (389kB)
    100% |████████████████████████████████| 389kB 9.8MB/s
Collecting tensorflow-tensorboard<0.5.0,>=0.4.0rc1 (from tensorflow)
  Downloading tensorflow_tensorboard-0.4.0rc3-py3-none-any.whl (1.7MB)
    100% |████████████████████████████████| 1.7MB 8.5MB/s
Collecting six>=1.10.0 (from tensorflow)
  Using cached six-1.11.0-py2.py3-none-any.whl
Collecting numpy>=1.12.1 (from tensorflow)
  Downloading numpy-1.13.3-cp36-none-win_amd64.whl (13.1MB)
    100% |████████████████████████████████| 13.1MB 2.8MB/s
Requirement already satisfied: setuptools in c:\programdata\anaconda3\envs\tenso
rflow\lib\site-packages (from protobuf>=3.3.0->tensorflow)
Collecting bleach==1.5.0 (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->tensorfl
ow)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Collecting werkzeug>=0.11.10 (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->tens
orflow)
  Downloading Werkzeug-0.13-py2.py3-none-any.whl (311kB)
    100% |████████████████████████████████| 317kB 2.4MB/s
Collecting markdown>=2.6.8 (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->tensor
flow)
  Downloading Markdown-2.6.10.zip (414kB)
    100% |████████████████████████████████| 419kB 9.3MB/s
Collecting html5lib==0.9999999 (from tensorflow-tensorboard<0.5.0,>=0.4.0rc1->te
nsorflow)
  Downloading html5lib-0.9999999.tar.gz (889kB)
    100% |████████████████████████████████| 890kB 7.3MB/s
Building wheels for collected packages: markdown, html5lib
   Running setup.py bdist_wheel for markdown ... done
  Stored in directory: C:\Users\jmnote\AppData\Local\pip\Cache\wheels\1e\5a\55\
a80b200d12e234d575ad68c1528593d1ce488720b65b24e48c
  Running setup.py bdist_wheel for html5lib ... done
  Stored in directory: C:\Users\jmnote\AppData\Local\pip\Cache\wheels\6f\85\6c\
56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built markdown html5lib
Installing collected packages: enum34, six, protobuf, numpy, html5lib, bleach, w
erkzeug, markdown, tensorflow-tensorboard, tensorflow
Successfully installed bleach-1.5.0 enum34-1.1.6 html5lib-0.9999999 markdown-2.6
.10 numpy-1.13.3 protobuf-3.5.0.post1 six-1.11.0 tensorflow-1.4.0 tensorflow-ten
sorboard-0.4.0rc3 werkzeug-0.13
</source>
<source lang='doscon'>
(tensorflow) C:\Users\jmnote>pip list | findstr tensorflow
tensorflow (1.4.0)
tensorflow-tensorboard (0.4.0rc3)
</source>


==같이 보기==
==같이 보기==
116번째 줄: 36번째 줄:


==참고==
==참고==
* https://brunch.co.kr/@mapthecity/15 윈도우에 TensorFlow를 설치하는 쉬운 방법  
* https://brunch.co.kr/@mapthecity/15 윈도우에 TensorFlow를 설치하는 쉬운 방법


[[분류: TensorFlow]]
[[분류:TensorFlow]]
[[분류:Anaconda]]

2021년 3월 11일 (목) 02:00 기준 최신판

윈도우 아나콘다 TensorFlow 설치
윈도우 아나콘다 텐서플로우 설치

1 사전작업[ | ]

2 설치[ | ]

  • Win --- Anaconda Prompt (anaconda3) 실행
(base) C:\Users\jmnote>pip install tensorflow
Collecting tensorflow
  Downloading tensorflow-2.4.1-cp38-cp38-win_amd64.whl (370.7 MB)
     |████████████████████████████████| 370.7 MB 110 kB/s
Collecting gast==0.3.3
  Downloading gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
Collecting numpy~=1.19.2
  Downloading numpy-1.19.5-cp38-cp38-win_amd64.whl (13.3 MB)
     |████████████████████████████████| 13.3 MB 1.7 MB/s
...
Successfully built termcolor
Installing collected packages: urllib3, pyasn1, idna, chardet, rsa, requests, pyasn1-modules, oauthlib, cachetools, requests-oauthlib, google-auth, werkzeug, tensorboard-plugin-wit, protobuf, numpy, markdown, grpcio, google-auth-oauthlib, absl-py, typing-extensions, termcolor, tensorflow-estimator, tensorboard, opt-einsum, keras-preprocessing, h5py, google-pasta, gast, flatbuffers, astunparse, tensorflow
Successfully installed absl-py-0.12.0 astunparse-1.6.3 cachetools-4.2.1 chardet-4.0.0 flatbuffers-1.12 gast-0.3.3 google-auth-1.27.1 google-auth-oauthlib-0.4.3 google-pasta-0.2.0 grpcio-1.32.0 h5py-2.10.0 idna-2.10 keras-preprocessing-1.1.2 markdown-3.3.4 numpy-1.19.5 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.15.5 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7.2 tensorboard-2.4.1 tensorboard-plugin-wit-1.8.0 tensorflow-2.4.1 tensorflow-estimator-2.4.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.3 werkzeug-1.0.1

3 확인[ | ]

(base) C:\Users\jmnote>pip list --format=columns | findstr tensorflow
tensorflow             2.4.1
tensorflow-estimator   2.4.0

4 같이 보기[ | ]

5 참고[ | ]

원본 주소 "https://zetawiki.com/w/index.php?title=윈도우_아나콘다_TensorFlow_설치&oldid=728324"
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