새 노트북에 tensorflow, cuda 등등 설치하다가 버전 문제로 고생해서 기록 남김.
1. anaconda 설치
2. cuda 11.2 설치
3. cudnn 8.1.1 설치
4. jupyter notebook --generate-config 해서 notebook_dir 변경.
5. python -m pip install --upgrade pip
6. conda create -n py39_tf214 python=3.9 (tensorflow 2.14가 python 3.6~3.9만 지원)
7. activate py39_tf214
8. pip install jupyter notebook
9. python -m ipykernel install --user --name py39_tf214 --display-name "py39_tf214" (jupyter notebook에 커널 연결)
10. conda install pytorch torchvision -c pytorch
11. pip install chardet
12. pip install -U --force-reinstall charset-normalizer
13. pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
14. pip install tensorflow-gpu==2.10.0
https://www.tensorflow.org/install/source_windows?hl=ko
Windows의 소스에서 빌드,Windows의 소스에서 빌드 | TensorFlow
이 페이지는 Cloud Translation API를 통해 번역되었습니다. Windows의 소스에서 빌드,Windows의 소스에서 빌드 컬렉션을 사용해 정리하기 내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요. 소스에
www.tensorflow.org
(py39_tf214) C:\Users\kasiw>pip list
Package Version
---------------------------- ---------------
absl-py 2.1.0
accelerate 0.28.0.dev0
anyio 4.3.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
astunparse 1.6.3
async-lru 2.0.4
attrs 23.2.0
Babel 2.14.0
beautifulsoup4 4.12.3
bitsandbytes 0.42.0
bleach 6.1.0
Brotli 1.0.9
cachetools 5.3.3
certifi 2024.2.2
cffi 1.16.0
chardet 5.2.0
charset-normalizer 3.3.2
colorama 0.4.6
comm 0.2.1
debugpy 1.8.1
decorator 5.1.1
defusedxml 0.7.1
exceptiongroup 1.2.0
executing 2.0.1
fastjsonschema 2.19.1
filelock 3.13.1
flatbuffers 23.5.26
fqdn 1.5.1
fsspec 2024.2.0
gast 0.4.0
gmpy2 2.1.2
google-auth 2.28.1
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
grpcio 1.62.0
h11 0.14.0
h5py 3.10.0
httpcore 1.0.4
httpx 0.27.0
huggingface-hub 0.21.3
idna 3.4
importlib-metadata 7.0.1
ipykernel 6.29.3
ipython 8.18.1
ipywidgets 8.1.2
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.3
json5 0.9.19
jsonpointer 2.4
jsonschema 4.21.1
jsonschema-specifications 2023.12.1
jupyter 1.0.0
jupyter_client 8.6.0
jupyter-console 6.6.3
jupyter_core 5.7.1
jupyter-events 0.9.0
jupyter-lsp 2.2.3
jupyter_server 2.12.5
jupyter_server_terminals 0.5.2
jupyterlab 4.1.2
jupyterlab_pygments 0.3.0
jupyterlab_server 2.25.3
jupyterlab_widgets 3.0.10
keras 2.10.0
Keras-Preprocessing 1.1.2
libclang 16.0.6
Markdown 3.5.2
MarkupSafe 2.1.3
matplotlib-inline 0.1.6
mistune 3.0.2
mkl-fft 1.3.8
mkl-random 1.2.4
mkl-service 2.4.0
ml-dtypes 0.2.0
mpmath 1.3.0
nbclient 0.9.0
nbconvert 7.16.1
nbformat 5.9.2
nest-asyncio 1.6.0
networkx 3.1
notebook 7.1.1
notebook_shim 0.2.4
numpy 1.26.4
oauthlib 3.2.2
opt-einsum 3.3.0
overrides 7.7.0
packaging 23.2
pandocfilters 1.5.1
parso 0.8.3
peft 0.9.1.dev0
pillow 10.2.0
pip 23.3.1
platformdirs 4.2.0
prometheus_client 0.20.0
prompt-toolkit 3.0.43
protobuf 3.19.6
psutil 5.9.8
pure-eval 0.2.2
pyasn1 0.5.1
pyasn1-modules 0.3.0
pycparser 2.21
Pygments 2.17.2
PySocks 1.7.1
python-dateutil 2.9.0.post0
python-json-logger 2.0.7
pywin32 306
pywinpty 2.0.13
PyYAML 6.0.1
pyzmq 25.1.2
qtconsole 5.5.1
QtPy 2.4.1
referencing 0.33.0
regex 2023.12.25
requests 2.31.0
requests-oauthlib 1.3.1
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.18.0
rsa 4.9
safetensors 0.4.2
scipy 1.12.0
Send2Trash 1.8.2
setuptools 68.2.2
six 1.16.0
sniffio 1.3.1
soupsieve 2.5
stack-data 0.6.3
sympy 1.12
tensorboard 2.10.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.14.0
tensorflow-estimator 2.10.0
tensorflow-gpu 2.10.0
tensorflow-intel 2.14.0
tensorflow-io-gcs-filesystem 0.31.0
termcolor 2.4.0
terminado 0.18.0
tinycss2 1.2.1
tokenizers 0.15.2
tomli 2.0.1
torch 2.2.1+cu121
torchaudio 2.2.1+cu121
torchvision 0.17.1
tornado 6.4
tqdm 4.66.2
traitlets 5.14.1
transformers 4.35.2
types-python-dateutil 2.8.19.20240106
typing_extensions 4.10.0
uri-template 1.3.0
urllib3 2.1.0
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.7.0
Werkzeug 3.0.1
wheel 0.41.2
widgetsnbextension 4.0.10
win-inet-pton 1.1.0
wrapt 1.14.1
zipp 3.17.0
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