2. 파이토치 개발환경 구축(Anaconda3)
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1. 아나콘다3 설치하기
2. 파이썬 환경설정
아나콘다 설치가 끝나면, Anaconda Prompt에서 파이썬 환경 설치, 각종 라이브러리 설치, 스크립트 실행 등의 작업을 한다.
2.1 새로운 파이썬 환경 생성
(base) C:\Users\jklee>conda create -n pytlesson
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.7.12
latest version: 4.8.2
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: C:\Anaconda3\envs\pytlesson
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate pytlesson
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) C:\Users\jklee>
여기서 파이썬 환경 이름을 pytlesson이라고 했지만 다른 이름을 써도 무방하다.
파이썬 환경을 생성하고 나면 아래 명령으로 새론 만든 환경을 활성화 한다.
(base) C:\Users\jklee>activate pytlesson
(pytlesson) C:\Users\jklee>
2.2 파이토치 설치
(pytlesson) C:\Users\jklee>conda install -c peterjc123 pytorch
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.7.12
latest version: 4.8.2
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: C:\Anaconda3\envs\pytlesson
added / updated specs:
- pytorch
The following packages will be downloaded:
package | build
---------------------------|-----------------
certifi-2019.11.28 | py36_0 154 KB
cffi-1.14.0 | py36h7a1dbc1_0 222 KB
intel-openmp-2020.0 | 166 1.5 MB
mkl-2020.0 | 166 98.9 MB
mkl-service-2.3.0 | py36hb782905_0 210 KB
mkl_fft-1.0.15 | py36h14836fe_0 118 KB
mkl_random-1.1.0 | py36h675688f_0 233 KB
numpy-1.18.1 | py36h93ca92e_0 6 KB
numpy-base-1.18.1 | py36hc3f5095_1 3.8 MB
pip-20.0.2 | py36_1 1.7 MB
pycparser-2.19 | py36_0 171 KB
python-3.6.10 | h9f7ef89_0 15.9 MB
pytorch-0.3.1 |py36_cuda80_cudnn6he774522_2 349.3 MB peterjc123
setuptools-45.2.0 | py36_0 528 KB
six-1.14.0 | py36_0 27 KB
sqlite-3.31.1 | he774522_0 637 KB
vc-14.1 | h21ff451_1 4 KB peterjc123
vs2015_runtime-14.16.27012 | hf0eaf9b_1 1.1 MB
vs2017_runtime-15.4.27004.2010| 1 1.6 MB peterjc123
wheel-0.34.2 | py36_0 66 KB
wincertstore-0.2 | py36h7fe50ca_0 14 KB
------------------------------------------------------------
Total: 476.3 MB
The following NEW packages will be INSTALLED:
blas pkgs/main/win-64::blas-1.0-mkl
certifi pkgs/main/win-64::certifi-2019.11.28-py36_0
cffi pkgs/main/win-64::cffi-1.14.0-py36h7a1dbc1_0
icc_rt pkgs/main/win-64::icc_rt-2019.0.0-h0cc432a_1
intel-openmp pkgs/main/win-64::intel-openmp-2020.0-166
mkl pkgs/main/win-64::mkl-2020.0-166
mkl-service pkgs/main/win-64::mkl-service-2.3.0-py36hb782905_0
mkl_fft pkgs/main/win-64::mkl_fft-1.0.15-py36h14836fe_0
mkl_random pkgs/main/win-64::mkl_random-1.1.0-py36h675688f_0
numpy pkgs/main/win-64::numpy-1.18.1-py36h93ca92e_0
numpy-base pkgs/main/win-64::numpy-base-1.18.1-py36hc3f5095_1
pip pkgs/main/win-64::pip-20.0.2-py36_1
pycparser pkgs/main/win-64::pycparser-2.19-py36_0
python pkgs/main/win-64::python-3.6.10-h9f7ef89_0
pytorch peterjc123/win-64::pytorch-0.3.1-py36_cuda80_cudnn6he774522_2
setuptools pkgs/main/win-64::setuptools-45.2.0-py36_0
six pkgs/main/win-64::six-1.14.0-py36_0
sqlite pkgs/main/win-64::sqlite-3.31.1-he774522_0
vc peterjc123/win-64::vc-14.1-h21ff451_1
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.16.27012-hf0eaf9b_1
vs2017_runtime peterjc123/win-64::vs2017_runtime-15.4.27004.2010-1
wheel pkgs/main/win-64::wheel-0.34.2-py36_0
wincertstore pkgs/main/win-64::wincertstore-0.2-py36h7fe50ca_0
Proceed ([y]/n)?y
Downloading and Extracting Packages
mkl-2020.0 | 98.9 MB | ############################################################################ | 100%
vs2017_runtime-15.4. | 1.6 MB | ############################################################################ | 100%
python-3.6.10 | 15.9 MB | ############################################################################ | 100%
sqlite-3.31.1 | 637 KB | ############################################################################ | 100%
pip-20.0.2 | 1.7 MB | ############################################################################ | 100%
mkl_fft-1.0.15 | 118 KB | ############################################################################ | 100%
mkl-service-2.3.0 | 210 KB | ############################################################################ | 100%
pycparser-2.19 | 171 KB | ############################################################################ | 100%
certifi-2019.11.28 | 154 KB | ############################################################################ | 100%
six-1.14.0 | 27 KB | ############################################################################ | 100%
numpy-1.18.1 | 6 KB | ############################################################################ | 100%
wincertstore-0.2 | 14 KB | ############################################################################ | 100%
wheel-0.34.2 | 66 KB | ############################################################################ | 100%
mkl_random-1.1.0 | 233 KB | ############################################################################ | 100%
intel-openmp-2020.0 | 1.5 MB | ############################################################################ | 100%
cffi-1.14.0 | 222 KB | ############################################################################ | 100%
vc-14.1 | 4 KB | ############################################################################ | 100%
numpy-base-1.18.1 | 3.8 MB | ############################################################################ | 100%
setuptools-45.2.0 | 528 KB | ############################################################################ | 100%
vs2015_runtime-14.16 | 1.1 MB | ############################################################################ | 100%
pytorch-0.3.1 | 349.3 MB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(pytlesson) C:\Users\jklee>
Numpy 등 파이토치를 사용용하는데 필요한 라이브러리도 함께 설치한다.
2.3 실습 관련 라이브러리 설치
jupyter : 개발환경 기능을 제공하는 라이브러리
Pillow : 이미지 처리 관련 함수를 제공
Matplotlib: 그래프 작성용 함수를 제공
Pandas : 데이터를 다루는 함수를 제공
Scikit-learn : 머신러닝 관련 함수를 제공
KoNLPy : 자연어 처리용 함수를 제공
(pytlesson) C:\Users\jklee>conda install jupyter
(pytlesson) C:\Users\jklee>conda install pillow
(pytlesson) C:\Users\jklee>conda install matplotlib
(pytlesson) C:\Users\jklee>conda install pandas
(pytlesson) C:\Users\jklee>conda install scikit-learn
(pytlesson) C:\Users\jklee>pip install konlpy
모든 라이브러리가 끝나면 윈도우 탐색기를 열어 C:\Anaconda3\envs\pytlesson 폴더를 확인한다.
envs아래를 보면 방금 추가한 파이썬 환경의 이름인 pytlesson이라는 폴더를 확인할 수 있다.
파이토치 설치
conda install pytorch-cpu==1.1.0 torchvision-cpu==0.3.0 cpuonly -c pytorch
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