2. 파이토치 개발환경 구축(Anaconda3)
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2. 파이토치 개발환경 구축(Anaconda3)
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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