我正在构建一个基于 Docker 容器python:3.7-slim-stretch
(同样的问题也发生在python:3.7-slim-stretch
),并且它正在变得Killed
on
pip install --no-cache-dir --verbose /wheels/*
我的 Mac (OSX 10.15.7) 有 64Gb RAM 和充足的磁盘空间,所以我不知道为什么它被杀死。我怎样才能找到答案? (我看到一个建议检查/var/log/messages
...但它不存在...)然后,我能做什么呢?
(此外,有趣的是,最初pip wheel
工作得很好。)
以防万一,这是Dockerfile
:
###########
# BUILDER #
###########
FROM python:3.7-slim-stretch as builder
WORKDIR /usr/src/app
ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1
RUN apt update \
&& apt install -y build-essential mecab
COPY ./requirements.txt .
RUN pip install --upgrade pip \
&& pip wheel --no-cache-dir --no-deps --wheel-dir /usr/src/app/wheels -r requirements.txt
#########
# FINAL #
#########
FROM python:3.7-slim-stretch
ENV HOME=/home/app APP_HOME=/home/app/web
RUN mkdir -p /home/app $APP_HOME \
&& addgroup --system app \
&& adduser --system --ingroup app app
WORKDIR $APP_HOME
COPY --chown=app:app --from=builder /usr/src/app/wheels /wheels
COPY --chown=app:app --from=builder /usr/src/app/requirements.txt .
RUN pip install --verbose --no-cache-dir /wheels/*
COPY --chown=app:app . $APP_HOME
USER app
ENTRYPOINT ["/home/app/web/entrypoint.sh"]
and requirements.txt
:
aiofiles==0.6.0
alabaster==0.7.12
allennlp==0.9.0
attrs==20.3.0
Babel==2.9.0
blinker==1.4
blis==0.2.4
boto3==1.17.10
botocore==1.20.10
cached-property==1.5.2
certifi==2020.12.5
chardet==4.0.0
click==7.1.2
conllu==1.3.1
cycler==0.10.0
cymem==2.0.5
dataclasses==0.6
docutils==0.16
editdistance==0.5.3
filelock==3.0.12
flaky==3.7.0
Flask==1.1.2
Flask-Cors==3.0.10
ftfy==5.9
gevent==21.1.2
greenlet==1.0.0
h11==0.12.0
h2==4.0.0
h5py==3.1.0
hpack==4.0.0
Hypercorn==0.11.2
hyperframe==6.0.0
idna==2.10
imagesize==1.2.0
importlib-metadata==3.4.0
iniconfig==1.1.1
isort==4.3.21
itsdangerous==1.1.0
Jinja2==2.11.3
jmespath==0.10.0
joblib==1.0.1
jsonnet==0.17.0
jsonpickle==2.0.0
kiwisolver==1.3.1
MarkupSafe==1.1.1
matplotlib==3.3.4
mecab-python3==0.996.5
mojimoji==0.0.11
murmurhash==1.0.5
nltk==3.5
numpy==1.20.1
numpydoc==1.1.0
overrides==3.1.0
packaging==20.9
parsimonious==0.8.1
Pillow==8.1.0
plac==0.9.6
pluggy==0.13.1
preshed==2.0.1
priority==1.3.0
protobuf==3.14.0
py==1.10.0
Pygments==2.8.0
pyparsing==2.4.7
pytest==6.2.2
python-dateutil==2.8.1
pytorch-pretrained-bert==0.6.2
pytorch-transformers==1.1.0
pytz==2021.1
Quart==0.14.1
regex==2020.11.13
requests==2.25.1
responses==0.12.1
s3transfer==0.3.4
sacremoses==0.0.43
scikit-learn==0.24.1
scipy==1.6.1
sentencepiece==0.1.95
six==1.15.0
snowballstemmer==2.1.0
spacy==2.1.9
Sphinx==3.5.1
sphinxcontrib-applehelp==1.0.2
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-htmlhelp==1.0.3
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-serializinghtml==1.1.4
sqlparse==0.4.1
srsly==1.0.5
tensorboardX==2.1
thinc==7.0.8
threadpoolctl==2.1.0
tokenizers==0.8.1rc1
toml==0.10.2
torch==1.7.1
tqdm==4.57.0
transformers==3.0.2
typing-extensions==3.7.4.3
Unidecode==1.2.0
urllib3==1.26.3
wasabi==0.8.2
wcwidth==0.2.5
Werkzeug==1.0.1
word2number==1.1
wsproto==1.0.0
zipp==3.4.0
zope.event==4.5.0
zope.interface==5.2.0
当我的 docker 容器在 WSL 中耗尽内存时,我在 Windows 上遇到了类似的情况。我认为 Mac 的设置有所不同,但这里似乎有关于在 Mac 上为 Docker for Desktop 设置 VM RAM/磁盘大小/交换文件设置的信息:
https://docs.docker.com/docker-for-mac https://docs.docker.com/docker-for-mac
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