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머신러닝/딥러닝 라이브러리 - GPU 사용 테스트
본 포스팅은 딥러닝 도커 설치 후 머신러닝/딥러닝 라이브러리의 GPU 사용 여부를 테스트하는 코드를 공유 드립니다. 머신러닝/딥러닝(PyTorch, TensorFlow) 최신 도커(docker)글을 참고하셔서 도커로 딥러닝 환경 구성을 하신 후, 아래 코드로 테스트 해 볼 수 있습니다.
참고
- 도커 Hub 주소: teddylee777/deepko
-
GitHub 주소: teddylee777/deepko
- 데이터분석, 머신러닝, 딥러닝 한글 패키지 버전 도커 - 글
- 딥러닝 도커(한글 패키지, 언어 설치) GitHub
- 딥러닝 도커(한글 패키지, 언어 설치) DockerHub
GPU 드라이버 확인
!nvidia-smi
Sun Jun 6 02:25:41 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.80 Driver Version: 460.80 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce RTX 3090 Off | 00000000:21:00.0 Off | N/A |
| 0% 48C P8 31W / 370W | 19MiB / 24265MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 GeForce RTX 3090 Off | 00000000:49:00.0 Off | N/A |
| 0% 47C P8 31W / 370W | 5MiB / 24268MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
TensorFlow
import tensorflow as tf
print(f'tf.__version__: {tf.__version__}')
gpus = tf.config.experimental.list_physical_devices('GPU')
for gpu in gpus:
print(gpu)
tf.__version__: 2.4.1 PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU') PhysicalDevice(name='/physical_device:GPU:1', device_type='GPU')
PyTorch
import torch
print(f'torch.__version__: {torch.__version__}')
print(f'GPU 사용여부: {torch.cuda.is_available()}')
gpu_count = torch.cuda.device_count()
print(f'GPU count: {gpu_count}')
if gpu_count > 0:
print(f'GPU name: {torch.cuda.get_device_name(0)}')
torch.__version__: 1.7.0 GPU 사용여부: True GPU count: 2 GPU name: GeForce RTX 3090
한글 자연어 처리 패키지
from konlpy.tag import Okt, Kkma, Hannanum
sample_sentence = '아버지가방에들어가신다.'
okt = Okt()
print(f'okt: {okt.pos(sample_sentence)}')
kkma = Kkma()
print(f'kkma: {okt.pos(sample_sentence)}')
hannanum = Hannanum()
print(f'hannanum: {hannanum.pos(sample_sentence)}')
okt: [('아버지', 'Noun'), ('가방', 'Noun'), ('에', 'Josa'), ('들어가신다', 'Verb'), ('.', 'Punctuation')]
kkma: [('아버지', 'Noun'), ('가방', 'Noun'), ('에', 'Josa'), ('들어가신다', 'Verb'), ('.', 'Punctuation')]
hannanum: [('아버지가방에들어가', 'N'), ('이', 'J'), ('시ㄴ다', 'E'), ('.', 'S')]
Mecab 추가 설치 확인
from konlpy.tag import Mecab
sample_sentence = '아버지가방에들어가신다.'
mecab = Mecab()
print(f'mecab: {mecab.pos(sample_sentence)}')
mecab: [('아버지', 'NNG'), ('가', 'JKS'), ('방', 'NNG'), ('에', 'JKB'), ('들어가', 'VV'), ('신다', 'EP+EF'), ('.', 'SF')]
머신러닝 패키지 확인
import sklearn
import lightgbm
import xgboost
print(f'lightgbm: {lightgbm.__version__}\nxgboost: {xgboost.__version__}\nsklearn: {sklearn.__version__}')
lightgbm: 3.2.0 xgboost: 1.4.2 sklearn: 0.24.2
한글 폰트 시각화 확인
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
print(f'matplotlib: {matplotlib.__version__}')
print(f'pandas: {pd.__version__}')
# Unicode warning 제거 (폰트 관련 경고메시지)
plt.rcParams['axes.unicode_minus']=False
# 그래프 출력 사이즈 설정
plt.rcParams["figure.figsize"] = (10, 6)
matplotlib: 3.4.2 pandas: 1.1.5
# D2Coding
plt.rcParams['font.family'] = "D2Coding"
data = {
'한글테스트': [10, 20, 30, 40, 50]
}
pd.DataFrame(data).plot(kind='bar')
plt.title('한글 폰트 테스트', fontsize=15)
plt.show()
# NanumGothic
plt.rcParams['font.family'] = "NanumGothic"
data = {
'한글테스트': [10, 20, 30, 40, 50]
}
pd.DataFrame(data).plot(kind='bar')
plt.title('한글 폰트 테스트', fontsize=15)
plt.show()
# NanumSquare
plt.rcParams['font.family'] = "NanumSquare"
data = {
'한글테스트': [10, 20, 30, 40, 50]
}
pd.DataFrame(data).plot(kind='bar')
plt.title('한글 폰트 테스트', fontsize=15)
plt.show()
XGBoost CPU & GPU 학습시간 비교
import time
from sklearn.datasets import make_regression
from xgboost import XGBRegressor
def model_test(model_name, model):
x, y = make_regression(n_samples=100000, n_features=100)
start_time = time.time()
model.fit(x, y)
end_time = time.time()
return f'{model_name}: 소요시간: {(end_time - start_time)} 초'
xgb = XGBRegressor(n_estimators=1000,
learning_rate=0.01,
subsample=0.8,
colsample_bytree=0.8,
objective='reg:squarederror',
)
print(model_test('xgb (cpu)', xgb))
xgb = XGBRegressor(n_estimators=1000,
learning_rate=0.01,
subsample=0.8,
colsample_bytree=0.8,
objective='reg:squarederror',
tree_method='gpu_hist')
print(model_test('xgb (gpu)', xgb))
xgb (cpu): 소요시간: 35.86732840538025 초 xgb (gpu): 소요시간: 6.682094573974609 초
기타 패키지 출력
!pip list
Package Version Location ------------------------------ ------------------- -------------- absl-py 0.12.0 adal 1.2.6 affine 2.3.0 aiobotocore 1.3.0 aiohttp 3.7.4 aiohttp-cors 0.7.0 aioitertools 0.7.1 aioredis 1.3.1 albumentations 1.0.0 alembic 1.6.5 allennlp 2.4.0 altair 4.1.0 annoy 1.17.0 ansiwrap 0.8.4 appdirs 1.4.4 argon2-cffi 20.1.0 arrow 1.0.3 arviz 0.11.2 asn1crypto 1.4.0 astunparse 1.6.3 async-generator 1.10 async-timeout 3.0.1 attrs 20.3.0 audioread 2.1.9 autocfg 0.0.8 autogluon.core 0.2.0 autograd 1.3 Babel 2.9.1 backcall 0.2.0 backports.functools-lru-cache 1.6.3 basemap 1.2.1 bayesian-optimization 1.2.0 bayespy 0.5.22 bcrypt 3.2.0 beautifulsoup4 4.6.0 binaryornot 0.4.4 biopython 1.78 black 20.8b1 bleach 3.3.0 blessings 1.7 blinker 1.4 blis 0.7.4 bokeh 2.3.2 Boruta 0.3 boto3 1.17.86 botocore 1.20.86 bq-helper 0.4.1 /src/bq-helper bqplot 0.12.27 branca 0.4.2 brewer2mpl 1.4.1 brotlipy 0.7.0 cachetools 4.2.1 caip-notebooks-serverextension 1.0.0 Cartopy 0.18.0 catalogue 1.0.0 catalyst 21.5 catboost 0.25.1 category-encoders 2.2.2 certifi 2021.5.30 cesium 0.9.12 cffi 1.14.5 cftime 1.5.0 chardet 4.0.0 cleverhans 3.1.0 click 7.1.2 click-plugins 1.1.1 cliff 3.8.0 cligj 0.7.2 cloud-tpu-client 0.10 cloudpickle 1.6.0 cmaes 0.8.2 cmd2 1.5.0 cmdstanpy 0.9.5 cmudict 0.4.5 colorama 0.4.4 colorcet 2.0.6 colorlog 5.0.1 colorlover 0.3.0 conda 4.10.1 conda-package-handling 1.7.2 configparser 5.0.2 ConfigSpace 0.4.18 confuse 1.4.0 contextily 1.1.0 contextlib2 0.6.0.post1 convertdate 2.3.2 cookiecutter 1.7.2 cryptography 3.4.7 cudf 0.16.0 cufflinks 0.17.3 cuml 0.16.0 cupy 8.0.0 cupy-cuda110 8.6.0 CVXcanon 0.1.2 cvxpy 1.1.7 cycler 0.10.0 cymem 2.0.5 cysignals 1.10.3 Cython 0.29.23 cytoolz 0.11.0 dask 2021.5.1 dask-cudf 0.16.0 dataclasses 0.6 datashader 0.12.1 datashape 0.5.2 datatable 0.11.1 deap 1.3.1 decorator 4.4.2 decord 0.5.2 deepdish 0.3.6 defusedxml 0.7.1 Delorean 1.0.0 Deprecated 1.2.12 descartes 1.1.0 dill 0.3.3 dipy 1.4.1 distributed 2021.5.1 dlib 19.22.0 dm-tree 0.1.6 docker 4.4.4 docker-pycreds 0.4.0 docutils 0.17.1 earthengine-api 0.1.268 easydev 0.11.1 easyocr 1.3.2 ecos 2.0.7.post1 eli5 0.11.0 emoji 1.2.0 en-core-web-lg 2.3.1 en-core-web-sm 2.3.1 entrypoints 0.3 ephem 3.7.7.1 essentia 2.1b6.dev374 fancyimpute 0.5.5 fastai 2.2.7 fastavro 1.4.1 fastcore 1.3.20 fastprogress 1.0.0 fastrlock 0.6 fasttext 0.9.2 fbpca 1.0 fbprophet 0.7.1 feather-format 0.4.1 featuretools 0.24.1 filelock 3.0.12 Fiona 1.8.18 fitter 1.3.0 flake8 3.9.2 flashtext 2.7 Flask 2.0.1 flatbuffers 1.12 folium 0.12.1 fsspec 2021.5.0 funcy 1.16 fury 0.7.0 future 0.18.2 fuzzywuzzy 0.18.0 gast 0.3.3 gatspy 0.3 gcsfs 0.7.2 GDAL 3.2.1 gensim 4.0.1 geographiclib 1.50 Geohash 1.0 geojson 2.5.0 geopandas 0.9.0 geoplot 0.4.1 geopy 2.1.0 geoviews 1.9.1 ggplot 0.11.5 gitdb 4.0.7 GitPython 3.1.14 gluoncv 0.10.1.post0 gluonnlp 0.10.0 google-api-core 1.26.2 google-api-python-client 1.8.0 google-auth 1.26.1 google-auth-httplib2 0.0.4 google-auth-oauthlib 0.4.3 google-cloud-aiplatform 0.6.0a1 google-cloud-automl 1.0.1 google-cloud-bigquery 2.2.0 google-cloud-bigtable 1.4.0 google-cloud-core 1.6.0 google-cloud-dataproc 1.1.1 google-cloud-datastore 1.12.0 google-cloud-firestore 1.8.1 google-cloud-kms 1.4.0 google-cloud-language 2.0.0 google-cloud-logging 1.15.1 google-cloud-monitoring 1.1.0 google-cloud-pubsub 1.7.0 google-cloud-scheduler 1.3.0 google-cloud-spanner 1.17.1 google-cloud-speech 1.3.2 google-cloud-storage 1.30.0 google-cloud-tasks 1.5.0 google-cloud-translate 3.2.0 google-cloud-videointelligence 2.2.0 google-cloud-vision 2.3.1 google-crc32c 1.1.2 google-pasta 0.2.0 google-resumable-media 1.2.0 googleapis-common-protos 1.53.0 gplearn 0.4.1 gpustat 0.6.0 gpxpy 1.4.2 graphviz 0.8.4 greenlet 1.0.0 grpc-google-iam-v1 0.12.3 grpcio 1.32.0 grpcio-gcp 0.2.2 gym 0.18.3 h2o 3.32.1.3 h5py 2.10.0 haversine 2.3.1 HeapDict 1.0.1 hep-ml 0.6.2 hijri-converter 2.1.2 hiredis 2.0.0 hmmlearn 0.2.5 holidays 0.11.1 holoviews 1.14.4 hpsklearn 0.1.0 html5lib 1.1 htmlmin 0.1.12 httplib2 0.19.0 httplib2shim 0.0.3 huggingface-hub 0.0.9 humanize 3.7.0 hunspell 0.5.5 husl 4.0.3 hyperopt 0.2.5 hypertools 0.6.3 hypothesis 6.13.12 ibis-framework 1.4.0 idna 2.10 imagecodecs 2021.5.20 ImageHash 4.2.0 imageio 2.9.0 imbalanced-learn 0.8.0 imgaug 0.4.0 implicit 0.4.4 importlib-metadata 3.4.0 iniconfig 1.1.1 ipykernel 5.5.0 ipympl 0.7.0 ipython 7.22.0 ipython-genutils 0.2.0 ipython-sql 0.3.9 ipywidgets 7.6.3 iso3166 1.0.1 isoweek 1.3.3 itsdangerous 2.0.1 Janome 0.4.1 jax 0.2.12 jaxlib 0.1.64+cuda110 jedi 0.18.0 jieba 0.42.1 Jinja2 3.0.1 jinja2-time 0.2.0 jmespath 0.10.0 joblib 1.0.1 JPype1 1.2.1 json5 0.9.5 jsonnet 0.17.0 jsonschema 3.2.0 jupyter-client 6.1.12 jupyter-console 6.4.0 jupyter-core 4.7.1 jupyter-http-over-ws 0.0.8 jupyterlab 1.2.16 jupyterlab-git 0.11.0 jupyterlab-pygments 0.1.2 jupyterlab-server 1.2.0 jupyterlab-widgets 1.0.0 kaggle 1.5.12 kaggle-environments 1.7.11 Keras 2.4.3 Keras-Preprocessing 1.1.2 keras-tuner 1.0.2 kiwisolver 1.3.1 kmapper 2.0.1 kmodes 0.11.0 knnimpute 0.1.0 konlpy 0.5.2 korean-lunar-calendar 0.2.1 kornia 0.5.3 krwordrank 1.0.3 kubernetes 12.0.1 langid 1.1.6 learntools 0.3.4 leven 1.0.4 libcst 0.3.19 librosa 0.8.1 lightfm 1.16 lightgbm 3.2.0 lime 0.2.0.1 line-profiler 3.2.6 llvmlite 0.36.0 lmdb 1.2.1 lml 0.1.0 locket 0.2.1 LunarCalendar 0.0.9 lxml 4.6.3 Mako 1.1.4 mapclassify 2.4.2 marisa-trie 0.7.5 Markdown 3.3.4 markovify 0.9.0 MarkupSafe 2.0.1 matplotlib 3.4.2 matplotlib-venn 0.11.6 matrixprofile 1.1.10 mccabe 0.6.1 mecab-python 0.996-ko-0.9.2 memory-profiler 0.58.0 mercantile 1.2.1 missingno 0.4.2 mistune 0.8.4 mizani 0.7.3 ml-metrics 0.1.4 mlcrate 0.2.0 mlens 0.2.3 mlxtend 0.18.0 mmh3 3.0.0 mne 0.23.0 mnist 0.2.2 mock 4.0.3 more-itertools 8.8.0 mpld3 0.5.2 mpmath 1.2.1 msgpack 1.0.2 msgpack-numpy 0.4.7.1 multidict 5.1.0 multipledispatch 0.6.0 multiprocess 0.70.11.1 munch 2.5.0 murmurhash 1.0.5 mxnet-cu110 1.8.0.post0 mypy-extensions 0.4.3 nb-conda 2.2.1 nb-conda-kernels 2.3.1 nbclient 0.5.3 nbconvert 6.0.7 nbdime 2.1.0 nbformat 5.1.2 nest-asyncio 1.4.3 netCDF4 1.5.6 networkx 2.5 nibabel 3.2.1 nilearn 0.7.1 nltk 3.2.4 nnabla 1.19.0 nnabla-ext-cuda110 1.19.0 nose 1.3.7 notebook 6.3.0 notebook-executor 0.2 numba 0.53.1 numexpr 2.7.3 numpy 1.19.5 nvidia-ml-py3 7.352.0 oauth2client 4.1.3 oauthlib 3.0.1 odfpy 1.4.1 olefile 0.46 onnx 1.8.1 opencensus 0.7.13 opencensus-context 0.1.2 opencv-python 4.5.2.52 opencv-python-headless 4.5.2.52 openslide-python 1.1.2 opt-einsum 3.3.0 optuna 2.7.0 orderedmultidict 1.0.1 ortools 9.0.9048 osmnx 1.1.1 osqp 0.6.2.post0 overrides 3.1.0 packaging 20.9 palettable 3.3.0 pandarallel 1.5.2 pandas 1.1.5 pandas-datareader 0.9.0 pandas-profiling 2.11.0 pandas-summary 0.0.7 pandasql 0.7.3 pandocfilters 1.4.2 panel 0.11.3 papermill 2.3.3 param 1.10.1 paramiko 2.7.2 parso 0.8.1 partd 1.2.0 path 15.1.2 path.py 12.5.0 pathos 0.2.7 pathspec 0.8.1 pathtools 0.1.2 patsy 0.5.1 pbr 5.6.0 pdf2image 1.15.1 PDPbox 0.2.1 pexpect 4.8.0 phik 0.11.2 pickleshare 0.7.5 Pillow 8.1.2 pip 21.0.1 plac 1.1.3 plotly 4.14.3 plotly-express 0.4.1 plotnine 0.8.0 pluggy 0.13.1 polyglot 16.7.4 pooch 1.3.0 portalocker 2.3.0 pox 0.2.9 poyo 0.5.0 ppca 0.0.4 ppft 1.6.6.3 preprocessing 0.1.13 preshed 3.0.5 prettytable 2.1.0 prometheus-client 0.9.0 promise 2.3 prompt-toolkit 3.0.18 pronouncing 0.2.0 proto-plus 1.18.1 protobuf 3.17.2 psutil 5.8.0 ptyprocess 0.7.0 pudb 2021.1 py 1.10.0 py-hanspell 1.1 py-lz4framed 0.14.0 py-spy 0.3.7 py-stringmatching 0.4.2 py-stringsimjoin 0.3.2 pyaml 20.4.0 PyArabic 0.6.10 pyarrow 1.0.1 pyasn1 0.4.8 pyasn1-modules 0.2.7 PyAstronomy 0.16.0 pybind11 2.6.2 pycodestyle 2.7.0 pycosat 0.6.3 pycountry 20.7.3 pycparser 2.20 pycrypto 2.6.1 pyct 0.4.8 pycuda 2021.1 pydash 5.0.0 pydegensac 0.1.2 pyDeprecate 0.3.0 pydicom 2.1.2 pydot 1.4.2 pydub 0.25.1 pyemd 0.5.1 pyexcel-io 0.6.4 pyexcel-ods 0.6.0 pyfasttext 0.4.6 pyflakes 2.3.1 pyglet 1.5.15 Pygments 2.8.1 PyJWT 2.0.1 pykalman 0.9.5 pyLDAvis 3.3.1 pymc3 3.11.2 PyMeeus 0.5.11 pymongo 3.11.4 Pympler 0.9 PyNaCl 1.4.0 pynndescent 0.5.2 pynvml 11.0.0 pynvrtc 9.2 pyocr 0.8 pyOpenSSL 20.0.1 pyparsing 2.4.7 pyPdf 1.13 pyperclip 1.8.2 PyPrind 2.11.3 pyproj 2.6.1.post1 PyQt5 5.12.3 PyQt5-sip 4.19.18 PyQtChart 5.12 PyQtWebEngine 5.12.1 pyrsistent 0.17.3 pysal 2.1.0 pyshp 2.1.3 PySocks 1.7.1 pystan 2.19.1.1 pytesseract 0.3.7 pytest 6.2.4 pytext-nlp 0.1.2 python-bidi 0.4.2 python-dateutil 2.8.1 python-editor 1.0.4 python-igraph 0.9.1 python-Levenshtein 0.12.2 python-louvain 0.15 python-slugify 4.0.1 pytools 2021.2.7 pytorch-ignite 0.4.4 pytorch-lightning 1.3.3 pytz 2021.1 PyUpSet 0.1.1.post7 pyviz-comms 2.0.1 PyWavelets 1.1.1 PyYAML 5.4.1 pyzmq 22.0.3 qdldl 0.1.5.post0 qgrid 1.3.1 qtconsole 5.1.0 QtPy 1.9.0 randomgen 1.16.6 rasterio 1.2.4 ray 1.3.0 redis 3.5.3 regex 2021.3.17 requests 2.25.1 requests-oauthlib 1.3.0 resampy 0.2.2 retrying 1.3.3 rgf-python 3.10.0 rmm 0.16.0 rsa 4.7.2 Rtree 0.9.7 ruamel-yaml-conda 0.15.80 s2sphere 0.2.5 s3fs 2021.5.0 s3transfer 0.4.2 sacremoses 0.0.45 scattertext 0.1.2 scikit-image 0.18.1 scikit-learn 0.24.2 scikit-multilearn 0.2.0 scikit-optimize 0.8.1 scikit-plot 0.3.7 scikit-surprise 1.1.1 scipy 1.6.2 scs 2.1.3 seaborn 0.11.1 semver 2.13.0 Send2Trash 1.5.0 sentencepiece 0.1.95 sentry-sdk 1.1.0 setuptools 49.6.0.post20210108 setuptools-git 1.2 shap 0.39.0 Shapely 1.7.1 shortuuid 1.0.1 SimpleITK 2.0.2 simplejson 3.17.2 six 1.15.0 sklearn 0.0 sklearn-contrib-py-earth 0.1.0+1.gdde5f89 sklearn-pandas 2.2.0 slicer 0.0.7 smart-open 5.1.0 smhasher 0.150.1 smmap 3.0.5 snuggs 1.4.7 sortedcontainers 2.4.0 SoundFile 0.10.3.post1 soykeyword 0.0.14 soynlp 0.0.493 soyspacing 1.0.17 spacy 2.3.5 spectral 0.22.2 sphinx-rtd-theme 0.2.4 SQLAlchemy 1.4.3 sqlparse 0.4.1 squarify 0.4.3 srsly 1.0.5 statsmodels 0.12.2 stemming 1.0.1 stevedore 3.3.0 stop-words 2018.7.23 stopit 1.1.2 stumpy 1.8.0 subprocess32 3.5.4 sympy 1.8 tables 3.6.1 tabulate 0.8.9 tangled-up-in-unicode 0.0.7 tblib 1.7.0 tenacity 7.0.0 tensorboard 2.4.1 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.0 tensorboardX 2.2 tensorflow 2.4.1 tensorflow-addons 0.12.1 tensorflow-cloud 0.1.13 tensorflow-datasets 3.0.0 tensorflow-estimator 2.4.0 tensorflow-gcs-config 2.1.7 tensorflow-hub 0.12.0 tensorflow-metadata 1.0.0 tensorflow-probability 0.12.2 tensorpack 0.11 termcolor 1.1.0 terminado 0.9.3 terminaltables 3.1.0 testpath 0.4.4 text-unidecode 1.3 textblob 0.15.3 texttable 1.6.3 textwrap3 0.9.2 Theano 1.0.5 Theano-PyMC 1.1.2 thinc 7.4.5 threadpoolctl 2.1.0 tifffile 2021.4.8 tokenizers 0.10.3 toml 0.10.2 toolz 0.11.1 torch 1.7.0 torchaudio 0.7.0a0+ac17b64 torchmetrics 0.3.2 torchtext 0.8.0a0+cd6902d torchvision 0.8.1 tornado 6.1 TPOT 0.11.7 tqdm 4.59.0 traitlets 5.0.5 traittypes 0.2.1 transformers 4.5.1 treelite 0.93 treelite-runtime 0.93 trueskill 0.4.5 tsfresh 0.18.0 tweepy 3.10.0 typed-ast 1.4.2 typeguard 2.12.0 typing-extensions 3.7.4.3 typing-inspect 0.6.0 tzlocal 2.1 ucx-py 0.16.0 umap-learn 0.5.1 Unidecode 1.2.0 update-checker 0.18.0 uritemplate 3.0.1 urllib3 1.26.4 urwid 2.1.2 vecstack 0.4.0 visions 0.6.0 vowpalwabbit 8.10.1 vtk 9.0.1 Wand 0.6.6 wandb 0.10.31 wasabi 0.8.2 wavio 0.0.4 wcwidth 0.2.5 webencodings 0.5.1 websocket-client 0.57.0 Werkzeug 2.0.1 wfdb 3.4.0 wheel 0.36.2 whichcraft 0.6.1 widgetsnbextension 3.5.1 Wordbatch 1.4.7 wordcloud 1.8.1 wordsegment 1.3.1 wrapt 1.12.1 xarray 0.18.2 xgboost 1.4.2 xvfbwrapper 0.2.9 yacs 0.1.8 yarl 1.6.3 yellowbrick 1.3.post1 zict 2.0.0 zipp 3.4.1
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