Dockerfile

FROM ubuntu:20.04

ENV LANG="C.UTF-8" LC_ALL="C.UTF-8" PATH="/home/python/.poetry/bin:/home/python/.local/bin:$PATH" PIP_NO_CACHE_DIR="false"

RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
    python3 python3-pip python-is-python3 curl ca-certificates && \
    rm -rf /var/lib/apt/lists/*

RUN groupadd --gid 1000 python && \
    useradd  --uid 1000 --gid python --shell /bin/bash --create-home python

USER 1000
RUN mkdir /home/python/app
WORKDIR /home/python/app

RUN curl -sSL https://github.com/python-poetry/poetry/raw/d3c9049a18ae33baacfcb5c698777282f2f58128/get-poetry.py | python
RUN poetry config virtualenvs.create false

ENTRYPOINT ["bash"]

poetry.lock

[[package]]                                                                                                                                                                                                                                                                               
category = "main"                                                                                                                                                                                                                                                                         
description = "Clean single-source support for Python 3 and 2"                                                                               
marker = "sys_platform == \"linux\""                                                                                                                                                                                                                                                      
name = "future"                                                                                                                                                                                                                                                                           
optional = false                                                                                                                             
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
version = "0.18.2"                                                    
                                                                      
[[package]]
category = "main"
description = "NumPy is the fundamental package for array computing with Python."
marker = "sys_platform == \"linux\""
name = "numpy"
optional = false
python-versions = ">=3.6"
version = "1.19.1"

[[package]]
category = "main"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
marker = "sys_platform == \"linux\""
name = "torch"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.6.0"
version = "1.5.1+cpu"

[package.dependencies]
future = "*"
numpy = "*"

[package.source]
reference = ""
type = "url"
url = "https://download.pytorch.org/whl/cpu/torch-1.5.1%2Bcpu-cp38-cp38-linux_x86_64.whl"
[metadata]
content-hash = "2ead7922b46061366bd0822d9c7d8a3726deced87195dabbf19d656fd4775a90"
lock-version = "1.0"
python-versions = "^3.8"

[metadata.files]
future = [
    {file = "future-0.18.2.tar.gz", hash = "sha256:b1bead90b70cf6ec3f0710ae53a525360fa360d306a86583adc6bf83a4db537d"},
]
numpy = [
    {file = "numpy-1.19.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:b1cca51512299841bf69add3b75361779962f9cee7d9ee3bb446d5982e925b69"},
    {file = "numpy-1.19.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:c9591886fc9cbe5532d5df85cb8e0cc3b44ba8ce4367bd4cf1b93dc19713da72"},
    {file = "numpy-1.19.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:cf1347450c0b7644ea142712619533553f02ef23f92f781312f6a3553d031fc7"},
    {file = "numpy-1.19.1-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:ed8a311493cf5480a2ebc597d1e177231984c818a86875126cfd004241a73c3e"},
    {file = "numpy-1.19.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:3673c8b2b29077f1b7b3a848794f8e11f401ba0b71c49fbd26fb40b71788b132"},
    {file = "numpy-1.19.1-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:56ef7f56470c24bb67fb43dae442e946a6ce172f97c69f8d067ff8550cf782ff"},
    {file = "numpy-1.19.1-cp36-cp36m-win32.whl", hash = "sha256:aaf42a04b472d12515debc621c31cf16c215e332242e7a9f56403d814c744624"},
    {file = "numpy-1.19.1-cp36-cp36m-win_amd64.whl", hash = "sha256:082f8d4dd69b6b688f64f509b91d482362124986d98dc7dc5f5e9f9b9c3bb983"},
    {file = "numpy-1.19.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e4f6d3c53911a9d103d8ec9518190e52a8b945bab021745af4939cfc7c0d4a9e"},
    {file = "numpy-1.19.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:5b6885c12784a27e957294b60f97e8b5b4174c7504665333c5e94fbf41ae5d6a"},
    {file = "numpy-1.19.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:1bc0145999e8cb8aed9d4e65dd8b139adf1919e521177f198529687dbf613065"},
    {file = "numpy-1.19.1-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:5a936fd51049541d86ccdeef2833cc89a18e4d3808fe58a8abeb802665c5af93"},
    {file = "numpy-1.19.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:ef71a1d4fd4858596ae80ad1ec76404ad29701f8ca7cdcebc50300178db14dfc"},
    {file = "numpy-1.19.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:b9792b0ac0130b277536ab8944e7b754c69560dac0415dd4b2dbd16b902c8954"},
    {file = "numpy-1.19.1-cp37-cp37m-win32.whl", hash = "sha256:b12e639378c741add21fbffd16ba5ad25c0a1a17cf2b6fe4288feeb65144f35b"},
    {file = "numpy-1.19.1-cp37-cp37m-win_amd64.whl", hash = "sha256:8343bf67c72e09cfabfab55ad4a43ce3f6bf6e6ced7acf70f45ded9ebb425055"},
    {file = "numpy-1.19.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e45f8e981a0ab47103181773cc0a54e650b2aef8c7b6cd07405d0fa8d869444a"},
    {file = "numpy-1.19.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:667c07063940e934287993366ad5f56766bc009017b4a0fe91dbd07960d0aba7"},
    {file = "numpy-1.19.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:480fdd4dbda4dd6b638d3863da3be82873bba6d32d1fc12ea1b8486ac7b8d129"},
    {file = "numpy-1.19.1-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:935c27ae2760c21cd7354402546f6be21d3d0c806fffe967f745d5f2de5005a7"},
    {file = "numpy-1.19.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:309cbcfaa103fc9a33ec16d2d62569d541b79f828c382556ff072442226d1968"},
    {file = "numpy-1.19.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:7ed448ff4eaffeb01094959b19cbaf998ecdee9ef9932381420d514e446601cd"},
    {file = "numpy-1.19.1-cp38-cp38-win32.whl", hash = "sha256:de8b4a9b56255797cbddb93281ed92acbc510fb7b15df3f01bd28f46ebc4edae"},
    {file = "numpy-1.19.1-cp38-cp38-win_amd64.whl", hash = "sha256:92feb989b47f83ebef246adabc7ff3b9a59ac30601c3f6819f8913458610bdcc"},
    {file = "numpy-1.19.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:e1b1dc0372f530f26a03578ac75d5e51b3868b9b76cd2facba4c9ee0eb252ab1"},
    {file = "numpy-1.19.1.zip", hash = "sha256:b8456987b637232602ceb4d663cb34106f7eb780e247d51a260b84760fd8f491"},
]
torch = []

pyproject.toml

[tool.poetry]
name = "app"
version = "0.1.0"
description = ""
authors = ["Your Name <you@example.com>"]

[tool.poetry.dependencies]
python = "^3.8"
torch = {url = "https://download.pytorch.org/whl/cpu/torch-1.5.1%2Bcpu-cp38-cp38-linux_x86_64.whl", platform = "linux"}

[tool.poetry.dev-dependencies]

[build-system]
requires = ["poetry>=0.12"]
build-backend = "poetry.masonry.api"