[Snyk] Security upgrade tensorflow/tensorflow from 2.10.0rc1-gpu-jupyter to 2.11.0rc0-gpu-jupyter #219
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The following vulnerabilities are fixed with an upgrade: - https://snyk.io/vuln/SNYK-UBUNTU2004-E2FSPROGS-2770719 - https://snyk.io/vuln/SNYK-UBUNTU2004-HEIMDAL-3042504 - https://snyk.io/vuln/SNYK-UBUNTU2004-HEIMDAL-3042504 - https://snyk.io/vuln/SNYK-UBUNTU2004-LIBKSBA-3050813 - https://snyk.io/vuln/SNYK-UBUNTU2004-UNZIP-2396700
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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
We recommend upgrading to
tensorflow/tensorflow:2.11.0rc0-gpu-jupyter, as this image has only 61 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:
SNYK-UBUNTU2004-E2FSPROGS-2770719
SNYK-UBUNTU2004-HEIMDAL-3042504
SNYK-UBUNTU2004-HEIMDAL-3042504
SNYK-UBUNTU2004-LIBKSBA-3050813
SNYK-UBUNTU2004-UNZIP-2396700
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