Bump tensorflow from 2.1 to 2.7.2

[dependabot[bot]]

Bumps tensorflow from 2.1 to 2.7.2.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.7.2

Release 2.7.2

This releases introduces several vulnerability fixes:

• Fixes a code injection in saved_model_cli (CVE-2022-29216)
• Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193)
• Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192)
• Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194)
• Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191)
• Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195)
• Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197)
• Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199)
• Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198)
• Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200)
• Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196)
• Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197)
• Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207)
• Fixes a segfault due to missing support for quantized types (CVE-2022-29205)
• Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206)
• Fixes a missing validation which results in undefined behavior in QuantizedConv2D (CVE-2022-29201)
• Fixes an integer overflow in SpaceToBatchND (CVE-2022-29203)
• Fixes a segfault and OOB write due to incomplete validation in EditDistance (CVE-2022-29208)
• Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29204)
• Fixes a denial of service in tf.ragged.constant due to lack of validation (CVE-2022-29202)
• Fixes a segfault when tf.histogram_fixed_width is called with NaN values (CVE-2022-29211)
• Fixes a core dump when loading TFLite models with quantization (CVE-2022-29212)
• Fixes crashes stemming from incomplete validation in signal ops (CVE-2022-29213)
• Fixes a type confusion leading to CHECK-failure based denial of service (CVE-2022-29209)
• Updates curl to 7.83.1 to handle (CVE-2022-22576, (CVE-2022-27774, (CVE-2022-27775, (CVE-2022-27776, (CVE-2022-27778, (CVE-2022-27779, (CVE-2022-27780, (CVE-2022-27781, (CVE-2022-27782 and (CVE-2022-30115
• Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue

TensorFlow 2.7.1

Release 2.7.1

This releases introduces several vulnerability fixes:

• Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
• Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
• Fixes a heap OOB access in Dequantize (CVE-2022-21726)
• Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
• Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
• Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
• Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
• Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
• Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
• Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
• Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
• Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.10.0

Breaking Changes

• Some files in tensorflow/python/training have been moved to tensorflow/python/tracking and tensorflow/python/checkpoint. Please update your imports accordingly, the old files will be removed in Release 2.11.

Known Caveats

Major Features and Improvements

• tf.lite:

  • New operations supported:
    • tflite SelectV2 now supports 5D.
    • tf.einsum is supported with multiple unknown shapes.
    • tf.unsortedsegmentprod op is supported.

• tf.keras:

  • Added tf.keras.models.experimental.SharpnessAwareMinimization. This class implements the sharpness-aware minimization technique, which boosts model performance on various tasks, e.g., ResNet on image classification.
  • EinsumDense layer moved from experimental to core. Its import path moved from tf.keras.layers.experimental.EinsumDense to tf.keras.layers.EinsumDense.
  • Added tf.keras.utils.audio_dataset_from_directory utility to easily generate audio classification datasets from directories of .wav files.
  • Added subset="both" support in tf.keras.utils.image_dataset_from_directory, tf.keras.utils.text_dataset_from_directory, and audio_dataset_from_directory, to be used with the validation_split argument, for returning both dataset splits at once, as a tuple.
  • Added tf.keras.utils.split_dataset utility to split a Dataset object or a list/tuple of arrays into two Dataset objects (e.g. train/test).

• tf.data:

  • Added support for cross-trainer data caching in tf.data service. This saves computation resources when concurrent training jobs train from the same dataset. See

... (truncated)

Commits

• dd7b8a3 Merge pull request #56034 from tensorflow-jenkins/relnotes-2.7.2-15779
• 1e7d6ea Update RELEASE.md
• 5085135 Merge pull request #56069 from tensorflow/mm-cp-52488e5072f6fe44411d70c6af09e...
• adafb45 Merge pull request #56060 from yongtang:curl-7.83.1
• 01cb1b8 Merge pull request #56038 from tensorflow-jenkins/version-numbers-2.7.2-4733
• 8c90c2f Update version numbers to 2.7.2
• 43f3cdc Update RELEASE.md
• 98b0a48 Insert release notes place-fill
• dfa5cf3 Merge pull request #56028 from tensorflow/disable-tests-on-r2.7
• 501a65c Disable timing out tests
• Additional commits viewable in compare view

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 @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
• @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
• @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language
• @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language
• @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.