Data Science for Software Engineering (ds4se) is an academic initiative to perform exploratory and causal inference analysis on software engineering artifacts and metadata. Data Management, Analysis, and Benchmarking for DL and Traceability.
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Bumps tensorflow from 2.4.1 to 2.9.3.
Release notes
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Commits
a5ed5f3Merge pull request #58584 from tensorflow/vinila21-patch-2258f9a1Update py_func.cccd27cfbMerge pull request #58580 from tensorflow-jenkins/version-numbers-2.9.3-244743e75385Update version numbers to 2.9.3bc72c39Merge pull request #58482 from tensorflow-jenkins/relnotes-2.9.3-256953506c90Update RELEASE.md8dcb48eUpdate RELEASE.md4f34ec8Merge pull request #58576 from pak-laura/c2.99f03a9d3bafe902c1e6beb105b2f2417...6fc67e4Replace CHECK with returning an InternalError on failing to create python tuple5dbe90aMerge pull request #58570 from tensorflow/r2.9-7b174a0f2e4Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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