Bump @tensorflow/tfjs from 3.9.0 to 3.12.0#22
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Bumps [@tensorflow/tfjs](https://github.com/tensorflow/tfjs) from 3.9.0 to 3.12.0. - [Release notes](https://github.com/tensorflow/tfjs/releases) - [Changelog](https://github.com/tensorflow/tfjs/blob/master/cloudbuild-release.yml) - [Commits](tensorflow/tfjs@tfjs-v3.9.0...tfjs-v3.12.0) --- updated-dependencies: - dependency-name: "@tensorflow/tfjs" dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #25. |
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Bumps @tensorflow/tfjs from 3.9.0 to 3.12.0.
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Commits
f41e509Update lockfiles branch tfjs_3.12.0_lockfiles lock files. (#5929)72c450bUpdate monorepo to 3.12.0. (#5926)9dd2e8d[benchmark] Support collecting and showing per-op stats (latency for now) for...23f6ebd[tflite] Add profiling related APIs to tfjs-tflite (#5911)a2b5ccf[webgpu] Add program label for shader (#5905)5b33e5c[benchmark] Add initial support for tflite models (#5870)96ab71dupdate darwin-arm64 download url to tfjs gcp bucket (#5899)9f2d465Add SparseSegmentSum/Mean kernel to WASM backend (#5739)0bab1d8Expose dimRoundingMode attribute of pool op (#5849)2dcda6fAdd SparseFillEmptyRows kernel to WASM (#5747)Dependabot 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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