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jakewalter / easyQuake

Simplified machine-learning driven earthquake detection, location, and analysis.
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Bump tensorflow from 2.1 to 2.6.4 #10

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps tensorflow from 2.1 to 2.6.4.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.6.4

Release 2.6.4

This releases introduces several vulnerability fixes:

TensorFlow 2.6.3

Release 2.6.3

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)
  • Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)

... (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
  • 33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
  • e1ec480 Fix build due to importlib-metadata/setuptools
  • 63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
  • 22b8fe4 Update RELEASE.md
  • ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6
  • 38774ed Merge pull request #56060 from yongtang:curl-7.83.1
  • 9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925
  • a6526a3 Update version numbers to 2.6.4
  • cb1a481 Update RELEASE.md
  • 4da550f Insert release notes place-fill
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 years ago

Superseded by #12.