[Snyk] Security upgrade tensorflow/tensorflow from 2.10.0rc1-gpu-jupyter to 2.11.0rc2-gpu-jupyter

[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

• Dockerfile.paperspace

We recommend upgrading to tensorflow/tensorflow:2.11.0rc2-gpu-jupyter, as this image has only 48 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
	586	CVE-2022-32221 SNYK-UBUNTU2004-CURL-3070971	No Known Exploit
	586	Out-of-bounds Write SNYK-UBUNTU2004-GIT-3051747	No Known Exploit
	586	Link Following SNYK-UBUNTU2004-GIT-3051752	No Known Exploit
	514	Improper Verification of Cryptographic Signature SNYK-UBUNTU2004-PERL-1930907	No Known Exploit
	514	Out-of-bounds Write SNYK-UBUNTU2004-UNZIP-2396700	No Known Exploit

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[coveralls]

Pull Request Test Coverage Report for Build 3387993184

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage remained the same at 95.798%

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Totals
Change from base Build 3077671355:	0.0%
Covered Lines:	1368
Relevant Lines:	1428

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💛 - Coveralls