[Snyk] Security upgrade tensorflow/tensorflow from 2.5.1-gpu to 2.13.0rc1-gpu

[snyk-bot]

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/launchpad-tf-gpu/Dockerfile

We recommend upgrading to tensorflow/tensorflow:2.13.0rc1-gpu, as this image has only 45 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
	536	Improper Check for Dropped Privileges SNYK-UBUNTU1804-BASH-542613	Mature
	514	Allocation of Resources Without Limits or Throttling SNYK-UBUNTU1804-CURL-2936030	No Known Exploit
	614	Buffer Overflow SNYK-UBUNTU1804-OPENSSL-1569474	No Known Exploit
	614	Loop with Unreachable Exit Condition ('Infinite Loop') SNYK-UBUNTU1804-OPENSSL-2426347	No Known Exploit
	614	Access of Resource Using Incompatible Type ('Type Confusion') SNYK-UBUNTU1804-OPENSSL-3314796	No Known Exploit

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🦉 Allocation of Resources Without Limits or Throttling