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Aug 13, 2024
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Bump the pip group across 1 directory with 3 updates #1251

merged 1 commit into from
Aug 13, 2024

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Bumps the pip group with 3 updates in the / directory: tensorflow, keras and nltk.

Updates tensorflow from 2.11.1 to 2.12.1

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.12.1

Release 2.12.1

Bug Fixes and Other Changes

  • The use of the ambe config to build and test aarch64 is not needed. The ambe config will be removed in the future. Making cpu_arm64_pip.sh and cpu_arm64_nonpip.sh more similar for easier future maintenance.

TensorFlow 2.12.0

Release 2.12.0

TensorFlow

Breaking Changes

  • Build, Compilation and Packaging

    • Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These packages were removed and replaced with packages that direct users to switch to tensorflow or tf-nightly respectively. Since TensorFlow 2.1, the only difference between these two sets of packages was their names, so there is no loss of functionality or GPU support. See https://pypi.org/project/tensorflow-gpu for more details.

  • tf.function:

    • tf.function now uses the Python inspect library directly for parsing the signature of the Python function it is decorated on. This change may break code where the function signature is malformed, but was ignored previously, such as:
      • Using functools.wraps on a function with different signature
      • Using functools.partial with an invalid tf.function input
    • tf.function now enforces input parameter names to be valid Python identifiers. Incompatible names are automatically sanitized similarly to existing SavedModel signature behavior.
    • Parameterless tf.functions are assumed to have an empty input_signature instead of an undefined one even if the input_signature is unspecified.
    • tf.types.experimental.TraceType now requires an additional placeholder_value method to be defined.
    • tf.function now traces with placeholder values generated by TraceType instead of the value itself.

  • Experimental APIs tf.config.experimental.enable_mlir_graph_optimization and tf.config.experimental.disable_mlir_graph_optimization were removed.

Major Features and Improvements

  • Support for Python 3.11 has been added.

  • Support for Python 3.7 has been removed. We are not releasing any more patches for Python 3.7.

  • tf.lite:

    • Add 16-bit float type support for built-in op fill.
    • Transpose now supports 6D tensors.
    • Float LSTM now supports diagonal recurrent tensors: https://arxiv.org/abs/1903.08023

  • tf.experimental.dtensor:

    • Coordination service now works with dtensor.initialize_accelerator_system, and enabled by default.
    • Add tf.experimental.dtensor.is_dtensor to check if a tensor is a DTensor instance.

  • tf.data:

    • Added support for alternative checkpointing protocol which makes it possible to checkpoint the state of the input pipeline without having to store the contents of internal buffers. The new functionality can be enabled through the experimental_symbolic_checkpoint option of tf.data.Options().
    • Added a new rerandomize_each_iteration argument for the tf.data.Dataset.random() operation, which controls whether the sequence of generated random numbers should be re-randomized every epoch or not (the default behavior). If seed is set and rerandomize_each_iteration=True, the random() operation will produce a different (deterministic) sequence of numbers every epoch.

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.12.1

Bug Fixes and Other Changes

  • The use of the ambe config to build and test aarch64 is not needed. The ambe config will be removed in the future. Making cpu_arm64_pip.sh and cpu_arm64_nonpip.sh more similar for easier future maintenance.

Release 2.12.0

Breaking Changes

  • Build, Compilation and Packaging

    • Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These packages were removed and replaced with packages that direct users to switch to tensorflow or tf-nightly respectively. Since TensorFlow 2.1, the only difference between these two sets of packages was their names, so there is no loss of functionality or GPU support. See https://pypi.org/project/tensorflow-gpu for more details.

  • tf.function:

    • tf.function now uses the Python inspect library directly for parsing the signature of the Python function it is decorated on. This change may break code where the function signature is malformed, but was ignored previously, such as:
      • Using functools.wraps on a function with different signature
      • Using functools.partial with an invalid tf.function input
    • tf.function now enforces input parameter names to be valid Python identifiers. Incompatible names are automatically sanitized similarly to existing SavedModel signature behavior.
    • Parameterless tf.functions are assumed to have an empty input_signature instead of an undefined one even if the input_signature is unspecified.
    • tf.types.experimental.TraceType now requires an additional placeholder_value method to be defined.
    • tf.function now traces with placeholder values generated by TraceType instead of the value itself.

  • Experimental APIs tf.config.experimental.enable_mlir_graph_optimization and tf.config.experimental.disable_mlir_graph_optimization were removed.

Major Features and Improvements

  • Support for Python 3.11 has been added.

  • Support for Python 3.7 has been removed. We are not releasing any more patches for Python 3.7.

  • tf.lite:

    • Add 16-bit float type support for built-in op fill.
    • Transpose now supports 6D tensors.
    • Float LSTM now supports diagonal recurrent tensors: https://arxiv.org/abs/1903.08023

  • tf.experimental.dtensor:

    • Coordination service now works with dtensor.initialize_accelerator_system, and enabled by default.
    • Add tf.experimental.dtensor.is_dtensor to check if a tensor is a DTensor instance.

  • tf.data:

    • Added support for alternative checkpointing protocol which makes it possible to checkpoint the state of the input pipeline without having to store the contents of internal buffers. The new functionality can be enabled through the experimental_symbolic_checkpoint option of tf.data.Options().
    • Added a new rerandomize_each_iteration argument for the tf.data.Dataset.random() operation, which controls whether the sequence of generated random numbers should be re-randomized every epoch or not (the default behavior). If seed is set and rerandomize_each_iteration=True, the random() operation will produce a different (deterministic) sequence of numbers every epoch.
    • Added a new rerandomize_each_iteration argument for the tf.data.Dataset.sample_from_datasets() operation, which controls whether the sequence of generated random numbers used for sampling should be re-randomized every epoch or not. If seed is set and rerandomize_each_iteration=True, the sample_from_datasets() operation will use a different (deterministic) sequence of numbers every epoch.

  • tf.test:

... (truncated)

Commits
  • 8e2b665 Merge pull request #61094 from tensorflow/venkat-patch-444
  • 02478f0 Fix unit test failure caused by numpy update
  • 2cd9b41 Merge pull request #61082 from tensorflow/venkat-patch-333
  • 7995c95 Updating Simplified retry logic to DNS cache
  • 29479ed Merge pull request #60872 from tensorflow/r2.12-c45a6c0b1cb
  • e76a933 Simplified retry logic to DNS cache
  • 76addf7 Merge pull request #60850 from elfringham/non_pip_fix
  • 05987a8 [Linaro:ARM_CI] Fix permissions for running nonpip tests
  • 23724d2 Merge pull request #60842 from elfringham/r2.12
  • 496730b Limit typing_extensions to less than 4.6.0 until it works
  • Additional commits viewable in compare view

Updates keras from 2.6 to 2.13.1

Release notes

Sourced from keras's releases.

Keras Release 2.13.1

What's Changed

... (truncated)

Commits
  • b3ffea6 Cherrypick Sequential serialization bug fix for r2.13 (#18258)
  • 87db506 Cherrypick the release script fix for RC. (#18082)
  • a51c89a Increase the version number for keras 2.13 (#18081)
  • 861ad74 Adds error for serializing metric using layer serialization.
  • 1b7c53d Adds Keras v3 saving testing coverage to Keras layers tests.
  • e7c4d09 Expands Keras internal testing coverage for the new v3 saving format for comm...
  • d72829a Change references from distribution_strategy_context.py to `distribute_lib....
  • 605b2d7 Merge pull request #17961 from SamuelMarks:keras.layers.activation-defaults-to
  • a64d0b7 Merge pull request #17955 from SamuelMarks:keras.datasets-defaults-to
  • cb1e1a0 Merge pull request #17967 from SamuelMarks:keras.layers.preprocessing-default...
  • Additional commits viewable in compare view

Updates nltk from 3.8.1 to 3.8.2

Changelog

Sourced from nltk's changelog.

Version 3.8.2 2024-08-09

  • Avoid need for pickled models, resolves security vulnerability CVE-2024-39705
  • Add Python 3.12 support
  • Many other minor fixes

Thanks to the following contributors to 3.8.2: Tom Aarsen, Cat Lee Ball, Veralara Bernhard, Carlos Brandt, Konstantin Chernyshev, Michael Higgins, Eric Kafe, Vivek Kalyan, David Lukes, Rob Malouf, purificant, Alex Rudnick, Liling Tan, Akihiro Yamazaki.

Version 3.8.1 2023-01-02

  • Resolve RCE vulnerability in localhost WordNet Browser (#3100)
  • Remove unused tool scripts (#3099)
  • Resolve XSS vulnerability in localhost WordNet Browser (#3096)
  • Add Python 3.11 support (#3090)

Thanks to the following contributors to 3.8.1: Francis Bond, John Vandenberg, Tom Aarsen

Version 3.8 2022-12-12

  • Refactor dispersion plot (#3082)
  • Provide type hints for LazyCorpusLoader variables (#3081)
  • Throw warning when LanguageModel is initialized with incorrect vocabulary (#3080)
  • Fix WordNet's all_synsets() function (#3078)
  • Resolve TreebankWordDetokenizer inconsistency with end-of-string contractions (#3070)
  • Support both iso639-3 codes and BCP-47 language tags (#3060)
  • Avoid DeprecationWarning in Regexp tokenizer (#3055)
  • Fix many doctests, add doctests to CI (#3054, #3050, #3048)
  • Fix bool field not being read in VerbNet (#3044)
  • Greatly improve time efficiency of SyllableTokenizer when tokenizing numbers (#3042)
  • Fix encodings of Polish udhr corpus reader (#3038)
  • Allow TweetTokenizer to tokenize emoji flag sequences (#3034)
  • Prevent LazyModule from increasing the size of nltk.dict (#3033)
  • Fix CoreNLPServer non-default port issue (#3031)
  • Add "acion" suffix to the Spanish SnowballStemmer (#3030)
  • Allow loading WordNet without OMW (#3026)
  • Use input() in nltk.chat.chatbot() for Jupyter support (#3022)
  • Fix edit_distance_align() in distance.py (#3017)
  • Tackle performance and accuracy regression of sentence tokenizer since NLTK 3.6.6 (#3014)
  • Add the Iota operator to semantic logic (#3010)
  • Resolve critical errors in WordNet app (#3008)
  • Resolve critical error in CHILDES Corpus (#2998)
  • Make WordNet information_content() accept adjective satellites (#2995)
  • Add "strict=True" parameter to CoreNLP (#2993, #3043)
  • Resolve issue with WordNet's synset_from_sense_key (#2988)
  • Handle WordNet synsets that were lost in mapping (#2985)
  • Resolve TypeError in Boxer (#2979)
  • Add function to retrieve WordNet synonyms (#2978)
  • Warn about nonexistent OMW offsets instead of raising an error (#2974)

... (truncated)

Commits

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@dependabot
Bump the pip group across 1 directory with 3 updates
2bdaa36 
Bumps the pip group with 3 updates in the / directory: [tensorflow](https://github.com/tensorflow/tensorflow), [keras](https://github.com/keras-team/keras) and [nltk](https://github.com/nltk/nltk).


Updates `tensorflow` from 2.11.1 to 2.12.1
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.11.1...v2.12.1)

Updates `keras` from 2.6 to 2.13.1
- [Release notes](https://github.com/keras-team/keras/releases)
- [Commits](keras-team/keras@v2.6.0...v2.13.1)

Updates `nltk` from 3.8.1 to 3.8.2
- [Changelog](https://github.com/nltk/nltk/blob/develop/ChangeLog)
- [Commits](nltk/nltk@3.8.1...3.8.2)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: keras
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: nltk
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Aug 13, 2024
@FabianaCampanari FabianaCampanari self-assigned this Aug 13, 2024
@FabianaCampanari FabianaCampanari merged commit 2031e6e into main Aug 13, 2024
3 checks passed
@FabianaCampanari FabianaCampanari deleted the dependabot/pip/pip-f16b33052a branch August 13, 2024 17:07
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