photonixapp / photonix

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
https://photonix.org/
GNU Affero General Public License v3.0
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Bump tensorflow from 2.4.1 to 2.6.4 #397

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps tensorflow from 2.4.1 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 2.6.4

This releases introduces several vulnerability fixes:

Release 2.8.0

Major Features and Improvements

  • tf.lite:

    • Added TFLite builtin op support for the following TF ops:
      • tf.raw_ops.Bucketize op on CPU.
      • tf.where op for data types tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
      • tf.random.normal op for output data type tf.float32 on CPU.
      • tf.random.uniform op for output data type tf.float32 on CPU.
      • tf.random.categorical op for output data type tf.int64 on CPU.
  • tensorflow.experimental.tensorrt:

    • conversion_params is now deprecated inside TrtGraphConverterV2 in favor of direct arguments: max_workspace_size_bytes, precision_mode, minimum_segment_size, maximum_cached_engines, use_calibration and

... (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 #399.