[Snyk] Security upgrade ubuntu from 20.04 to rolling

[msaroufim]

This PR was automatically created by Snyk using the credentials of a real user.

Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Changes included in this PR

• docker/Dockerfile.dev

We recommend upgrading to ubuntu:rolling, as this image has only 6 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Some of the most important vulnerabilities in your base image include:

Severity	Priority Score / 1000	Issue	Exploit Maturity
	150	Uncontrolled Recursion SNYK-UBUNTU2004-PCRE3-580031	No Known Exploit
	150	Time-of-check Time-of-use (TOCTOU) SNYK-UBUNTU2004-SHADOW-577863	No Known Exploit
	150	Time-of-check Time-of-use (TOCTOU) SNYK-UBUNTU2004-SHADOW-577863	No Known Exploit
	300	Off-by-one Error SNYK-UBUNTU2004-SYSTEMD-3098845	No Known Exploit
	300	Off-by-one Error SNYK-UBUNTU2004-SYSTEMD-3098845	No Known Exploit

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[codecov]

Codecov Report

Merging #2065 (1aaa788) into master (3ca7834) will not change coverage.
The diff coverage is n/a.

❗ Current head 1aaa788 differs from pull request most recent head 99e48b4. Consider uploading reports for the commit 99e48b4 to get more accurate results

@@           Coverage Diff           @@
##           master    #2065   +/-   ##
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  Coverage   53.38%   53.38%           
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  Files          71       71           
  Lines        3224     3224           
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  Hits         1721     1721           
  Misses       1503     1503           

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[msaroufim]

Logs

(base) ubuntu@ip-172-31-17-70:~/serve/docker$ ./build_image.sh -bt dev -b snyk-fix-e1077ba036875975fd0ab47e0f5bffb7 -g -cv cu117 -t marksaroufim/torchserve:gpu-latest
[+] Building 385.9s (14/14) FINISHED                                                 
 => [internal] load build definition from Dockerfile.dev                        0.9s
 => => transferring dockerfile: 4.32kB                                          0.0s
 => [internal] load .dockerignore                                               1.1s
 => => transferring context: 2B                                                 0.0s
 => resolve image config for docker.io/docker/dockerfile:experimental           0.7s
 => [auth] docker/dockerfile:pull token for registry-1.docker.io                0.0s
 => CACHED docker-image://docker.io/docker/dockerfile:experimental@sha256:600e  0.0s
 => [internal] load metadata for docker.io/nvidia/cuda:11.7.0-cudnn8-runtime-u  0.5s
 => [auth] nvidia/cuda:pull token for registry-1.docker.io                      0.0s
 => CACHED [compile-image 1/3] FROM docker.io/nvidia/cuda:11.7.0-cudnn8-runtim  0.0s
 => [compile-image 2/3] RUN --mount=type=cache,id=apt-dev,target=/var/cache/a  98.2s
 => [compile-image 3/3] RUN update-alternatives --install /usr/bin/python pyth  0.4s
 => [dev-image 1/2] RUN if [ "gpu" = "gpu" ]; then export USE_CUDA=1; fi      226.0s 
 => [dev-image 2/2] WORKDIR /home/model-server                                  0.0s 
 => [final-image 1/1] RUN echo "dev image creation completed"                   0.4s 
 => exporting to image                                                         38.2s 
 => => exporting layers                                                        38.2s 
 => => writing image sha256:b1586f945f96fcf36c0c496cc37017b89afc3a762cb23b04e5  0.0s 
 => => naming to docker.io/marksaroufim/torchserve:gpu-latest