build: move to poetry

This commit is contained in:
Cyrille Nofficial 2022-10-27 14:25:32 +02:00
parent d7756a7184
commit 44bbe77a5b
7 changed files with 1974 additions and 47 deletions

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FROM docker.io/tensorflow/tensorflow:2.10.0 FROM docker.io/library/python:3.10-slim as base
COPY requirements.txt . # Configure piwheels repo to use pre-compiled numpy wheels for arm
RUN pip3 install --upgrade pip==22.2.2 && pip3 list && pip3 install -r requirements.txt \ RUN echo -n "[global]\nextra-index-url=https://www.piwheels.org/simple\n" >> /etc/pip.conf
&& pip3 list
WORKDIR /root
# copy the training script inside the container
COPY src/tf_container/train.py /opt/ml/code/train.py
# define train.py as the script entry point
ENV SAGEMAKER_PROGRAM train.py
#################
FROM base as builder
RUN apt-get update && apt-get install -y git && \
pip3 install poetry==1.2.0 && \
poetry self add "poetry-dynamic-versioning[plugin]"
ADD . .
RUN poetry build
#################
FROM base
COPY --from=builder dist/*.whl /tmp/
RUN pip3 install /tmp/*whl
WORKDIR /tmp
USER 1234
ENTRYPOINT ["/usr/local/bin/train"]

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poetry.lock generated Normal file

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pyproject.toml Normal file
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[tool.poetry]
name = "robocar-training"
version = "0.0.0"
description = "DIY Robocars model training"
authors = ["Cyrille Nofficial <cynoffic@cyrilix.fr>"]
license = "Apache2"
readme = "README.md"
packages = [{include = "tf_container"}, {include="tensorflow-stubs"}]
[tool.poetry.dependencies]
python = ">=3.10,<3.11"
sagemaker-training = "^4.2.0"
tensorflow = "^2.10.0"
numpy = "^1.23.4"
pillow = "^8.3.2"
[tool.poetry.group.dev.dependencies]
mypy = "^0.982"
pylint = "^2.15.5"
tensor-annotations = "^2.0.2"
[build-system]
requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning"]
build-backend = "poetry_dynamic_versioning.backend"
[tool.poetry.scripts]
train = 'tf_container.train:main'

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sagemaker-training==4.2.0
tensorflow==2.10.0
numpy
pillow==8.3.2

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import os
from os.path import basename
from os.path import splitext
from glob import glob
from setuptools import setup, find_packages
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name='robocars_sagemaker_container',
version='1.0.0',
packages=find_packages(where='src', exclude=('test',)),
package_dir={'': 'src'},
py_modules=[splitext(basename(path))[0] for path in glob('src/*.py')],
classifiers=[
'Programming Language :: Python :: 3.7',
],
entry_points={
'console_scripts': [
'train=tf_container.train_entry_point:train',
]
},
install_requires=['sagemaker-container-support'],
extras_require={},
)