{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":785460728,"defaultBranch":"main","name":"Storytelling","ownerLogin":"Mindful-AI-Assistants","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2024-04-11T23:38:10.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/148736092?v=4","public":true,"private":false,"isOrgOwned":true},"refInfo":{"name":"","listCacheKey":"v0:1725887127.0","currentOid":""},"activityList":{"items":[{"before":"be6cde544cb7dd84dfc4d01303d0ff2eb7d6892a","after":null,"ref":"refs/heads/FabianaCampanari-patch-1","pushedAt":"2024-09-09T13:05:27.000Z","pushType":"branch_deletion","commitsCount":0,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"}},{"before":"357f59bfb138dd4541ca19964aa2a9a582695f48","after":"f587947dcd0f1136dd47b275ad71cdf66625023e","ref":"refs/heads/main","pushedAt":"2024-09-09T13:05:25.000Z","pushType":"pr_merge","commitsCount":2,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"},"commit":{"message":"Update README.md (#549)\n\n\r\n\r\n\r\n\r\n## Changes\r\n\r\n\r\n\r\n## Context\r\n\r\n\r\n\r\n\r\n\r\n## Documentation (please check one with an [x])\r\n\r\n- [ ] I have updated the documentation, or\r\n- [ ] No documentation update is required\r\n\r\n## How I've tested my work (please select one)\r\n\r\nI have verified these changes via:\r\n\r\n- [ ] Code inspection only, or\r\n- [ ] Newly added/modified unit tests, or\r\n- [ ] No unit tests but ran on a real repository, or\r\n- [ ] Both unit tests + ran on a real repository\r\n\r\n\r\n\r\n\r\n","shortMessageHtmlLink":"Update README.md (#549)"}},{"before":null,"after":"be6cde544cb7dd84dfc4d01303d0ff2eb7d6892a","ref":"refs/heads/FabianaCampanari-patch-1","pushedAt":"2024-09-09T13:05:04.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"},"commit":{"message":"Update README.md\n\nSigned-off-by: Fabiana 🚀 Campanari ","shortMessageHtmlLink":"Update README.md"}},{"before":"1cec46a02b8146b94d3fd2d6f19ff7b16ce2d6a3","after":null,"ref":"refs/heads/dependabot/pip/nltk-3.9","pushedAt":"2024-08-29T02:15:42.000Z","pushType":"branch_deletion","commitsCount":0,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"}},{"before":"4a07f5fe4538fe4f870444fd7ff600366c39aec6","after":"357f59bfb138dd4541ca19964aa2a9a582695f48","ref":"refs/heads/main","pushedAt":"2024-08-29T02:15:41.000Z","pushType":"pr_merge","commitsCount":2,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"},"commit":{"message":"Bump nltk from 3.6.6 to 3.9 (#548)\n\nBumps [nltk](https://github.com/nltk/nltk) from 3.6.6 to 3.9.\r\n
\r\nChangelog\r\n

Sourced from nltk's\r\nchangelog.

\r\n
\r\n

Version 3.9.1 2024-08-19

\r\n
    \r\n
  • Fixed bug that prevented wordnet from loading
  • \r\n
\r\n

Version 3.9 2024-08-18

\r\n
    \r\n
  • Avoid need for pickled models, resolves security vulnerability\r\nCVE-2024-39705
  • \r\n
  • No longer sort WordNet synsets and relations (sort in calling\r\nfunction when required)
  • \r\n
  • Add Python 3.12 support
  • \r\n
  • Many other minor fixes
  • \r\n
\r\n

Thanks to the following contributors to 3.8.2:\r\nTom Aarsen, Cat Lee Ball, Veralara Bernhard, Carlos Brandt, Konstantin\r\nChernyshev, Michael Higgins,\r\nEric Kafe, Vivek Kalyan, David Lukes, Rob Malouf, purificant, Alex\r\nRudnick, Liling Tan, Akihiro Yamazaki.

\r\n

Version 3.8.1 2023-01-02

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

Thanks to the following contributors to 3.8.1:\r\nFrancis Bond, John Vandenberg, Tom Aarsen

\r\n

Version 3.8 2022-12-12

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

... (truncated)

\r\n
\r\n
\r\nCommits\r\n\r\n
\r\n
\r\n\r\n\r\n[![Dependabot compatibility\r\nscore](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=nltk&package-manager=pip&previous-version=3.6.6&new-version=3.9)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)\r\n\r\nDependabot will resolve any conflicts with this PR as long as you don't\r\nalter it yourself. You can also trigger a rebase manually by commenting\r\n`@dependabot rebase`.\r\n\r\n[//]: # (dependabot-automerge-start)\r\n[//]: # (dependabot-automerge-end)\r\n\r\n---\r\n\r\n
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","shortMessageHtmlLink":"Bump nltk from 3.6.6 to 3.9 (#548)"}},{"before":null,"after":"1cec46a02b8146b94d3fd2d6f19ff7b16ce2d6a3","ref":"refs/heads/dependabot/pip/nltk-3.9","pushedAt":"2024-08-20T16:26:48.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"dependabot[bot]","name":null,"path":"/apps/dependabot","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/29110?s=80&v=4"},"commit":{"message":"Bump nltk from 3.6.6 to 3.9\n\nBumps [nltk](https://github.com/nltk/nltk) from 3.6.6 to 3.9.\n- [Changelog](https://github.com/nltk/nltk/blob/develop/ChangeLog)\n- [Commits](https://github.com/nltk/nltk/compare/3.6.6...3.9)\n\n---\nupdated-dependencies:\n- dependency-name: nltk\n dependency-type: direct:production\n...\n\nSigned-off-by: dependabot[bot] ","shortMessageHtmlLink":"Bump nltk from 3.6.6 to 3.9"}},{"before":"3cc2dcbafd24916b8710ffb97986778f78fc4722","after":null,"ref":"refs/heads/dependabot/pip/tensorflow-2.12.1","pushedAt":"2024-08-12T02:18:04.000Z","pushType":"branch_deletion","commitsCount":0,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"}},{"before":"cf8ae7d5e013aa9b795d346e8da7da165673929c","after":"4a07f5fe4538fe4f870444fd7ff600366c39aec6","ref":"refs/heads/main","pushedAt":"2024-08-12T02:18:02.000Z","pushType":"pr_merge","commitsCount":3,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"},"commit":{"message":"Bump tensorflow from 2.11.1 to 2.12.1 (#546)\n\n[//]: # (dependabot-start)\r\n⚠️ **Dependabot is rebasing this PR** ⚠️ \r\n\r\nRebasing might not happen immediately, so don't worry if this takes some\r\ntime.\r\n\r\nNote: if you make any changes to this PR yourself, they will take\r\nprecedence over the rebase.\r\n\r\n---\r\n\r\n[//]: # (dependabot-end)\r\n\r\nBumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.11.1\r\nto 2.12.1.\r\n
\r\nRelease notes\r\n

Sourced from tensorflow's\r\nreleases.

\r\n
\r\n

TensorFlow 2.12.1

\r\n

Release 2.12.1

\r\n

Bug Fixes and Other Changes

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

TensorFlow 2.12.0

\r\n

Release 2.12.0

\r\n

TensorFlow

\r\n

Breaking Changes

\r\n
    \r\n
  • \r\n

    Build, Compilation and Packaging

    \r\n
      \r\n
    • Removed redundant packages tensorflow-gpu and\r\ntf-nightly-gpu. These packages were removed and replaced\r\nwith packages that direct users to switch to tensorflow or\r\ntf-nightly respectively. Since TensorFlow 2.1, the only\r\ndifference between these two sets of packages was their names, so there\r\nis no loss of functionality or GPU support. See https://pypi.org/project/tensorflow-gpu\r\nfor more details.
    • \r\n
    \r\n
  • \r\n
  • \r\n

    tf.function:

    \r\n
      \r\n
    • tf.function now uses the Python inspect library\r\ndirectly for parsing the signature of the Python function it is\r\ndecorated on. This change may break code where the function signature is\r\nmalformed, but was ignored previously, such as:\r\n
        \r\n
      • Using functools.wraps on a function with different\r\nsignature
      • \r\n
      • Using functools.partial with an invalid\r\ntf.function input
      • \r\n
      \r\n
    • \r\n
    • tf.function now enforces input parameter names to be\r\nvalid Python identifiers. Incompatible names are automatically sanitized\r\nsimilarly to existing SavedModel signature behavior.
    • \r\n
    • Parameterless tf.functions are assumed to have an empty\r\ninput_signature instead of an undefined one even if the\r\ninput_signature is unspecified.
    • \r\n
    • tf.types.experimental.TraceType now requires an\r\nadditional placeholder_value method to be defined.
    • \r\n
    • tf.function now traces with placeholder values\r\ngenerated by TraceType instead of the value itself.
    • \r\n
    \r\n
  • \r\n
  • \r\n

    Experimental APIs\r\ntf.config.experimental.enable_mlir_graph_optimization and\r\ntf.config.experimental.disable_mlir_graph_optimization were\r\nremoved.

    \r\n
  • \r\n
\r\n

Major Features and Improvements

\r\n
    \r\n
  • \r\n

    Support for Python 3.11 has been added.

    \r\n
  • \r\n
  • \r\n

    Support for Python 3.7 has been removed. We are not releasing any\r\nmore patches for Python 3.7.

    \r\n
  • \r\n
  • \r\n

    tf.lite:

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

    tf.experimental.dtensor:

    \r\n
      \r\n
    • Coordination service now works with\r\ndtensor.initialize_accelerator_system, and enabled by\r\ndefault.
    • \r\n
    • Add tf.experimental.dtensor.is_dtensor to check if a\r\ntensor is a DTensor instance.
    • \r\n
    \r\n
  • \r\n
  • \r\n

    tf.data:

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

... (truncated)

\r\n
\r\n
\r\nChangelog\r\n

Sourced from tensorflow's\r\nchangelog.

\r\n
\r\n

Release 2.12.1

\r\n

Bug Fixes and Other Changes

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

Release 2.12.0

\r\n

Breaking Changes

\r\n
    \r\n
  • \r\n

    Build, Compilation and Packaging

    \r\n
      \r\n
    • Removed redundant packages tensorflow-gpu and\r\ntf-nightly-gpu. These packages were removed and replaced\r\nwith packages that direct users to switch to tensorflow or\r\ntf-nightly respectively. Since TensorFlow 2.1, the only\r\ndifference between these two sets of packages was their names, so there\r\nis no loss of functionality or GPU support. See https://pypi.org/project/tensorflow-gpu\r\nfor more details.
    • \r\n
    \r\n
  • \r\n
  • \r\n

    tf.function:

    \r\n
      \r\n
    • tf.function now uses the Python inspect library\r\ndirectly for parsing the signature of the Python function it is\r\ndecorated on. This change may break code where the function signature is\r\nmalformed, but was ignored previously, such as:\r\n
        \r\n
      • Using functools.wraps on a function with different\r\nsignature
      • \r\n
      • Using functools.partial with an invalid\r\ntf.function input
      • \r\n
      \r\n
    • \r\n
    • tf.function now enforces input parameter names to be\r\nvalid Python identifiers. Incompatible names are automatically sanitized\r\nsimilarly to existing SavedModel signature behavior.
    • \r\n
    • Parameterless tf.functions are assumed to have an empty\r\ninput_signature instead of an undefined one even if the\r\ninput_signature is unspecified.
    • \r\n
    • tf.types.experimental.TraceType now requires an\r\nadditional placeholder_value method to be defined.
    • \r\n
    • tf.function now traces with placeholder values\r\ngenerated by TraceType instead of the value itself.
    • \r\n
    \r\n
  • \r\n
  • \r\n

    Experimental APIs\r\ntf.config.experimental.enable_mlir_graph_optimization and\r\ntf.config.experimental.disable_mlir_graph_optimization were\r\nremoved.

    \r\n
  • \r\n
\r\n

Major Features and Improvements

\r\n
    \r\n
  • \r\n

    Support for Python 3.11 has been added.

    \r\n
  • \r\n
  • \r\n

    Support for Python 3.7 has been removed. We are not releasing any\r\nmore patches for Python 3.7.

    \r\n
  • \r\n
  • \r\n

    tf.lite:

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

    tf.experimental.dtensor:

    \r\n
      \r\n
    • Coordination service now works with\r\ndtensor.initialize_accelerator_system, and enabled by\r\ndefault.
    • \r\n
    • Add tf.experimental.dtensor.is_dtensor to check if a\r\ntensor is a DTensor instance.
    • \r\n
    \r\n
  • \r\n
  • \r\n

    tf.data:

    \r\n
      \r\n
    • Added support for alternative checkpointing protocol which makes it\r\npossible to checkpoint the state of the input pipeline without having to\r\nstore the contents of internal buffers. The new functionality can be\r\nenabled through the experimental_symbolic_checkpoint option\r\nof tf.data.Options().
    • \r\n
    • Added a new rerandomize_each_iteration argument for the\r\ntf.data.Dataset.random() operation, which controls whether\r\nthe sequence of generated random numbers should be re-randomized every\r\nepoch or not (the default behavior). If seed is set and\r\nrerandomize_each_iteration=True, the random()\r\noperation will produce a different (deterministic) sequence of numbers\r\nevery epoch.
    • \r\n
    • Added a new rerandomize_each_iteration argument for the\r\ntf.data.Dataset.sample_from_datasets() operation, which\r\ncontrols whether the sequence of generated random numbers used for\r\nsampling should be re-randomized every epoch or not. If\r\nseed is set and\r\nrerandomize_each_iteration=True, the\r\nsample_from_datasets() operation will use a different\r\n(deterministic) sequence of numbers every epoch.
    • \r\n
    \r\n
  • \r\n
  • \r\n

    tf.test:

    \r\n
  • \r\n
\r\n\r\n
\r\n

... (truncated)

\r\n
\r\n
\r\nCommits\r\n
    \r\n
  • 8e2b665\r\nMerge pull request #61094\r\nfrom tensorflow/venkat-patch-444
  • \r\n
  • 02478f0\r\nFix unit test failure caused by numpy update
  • \r\n
  • 2cd9b41\r\nMerge pull request #61082\r\nfrom tensorflow/venkat-patch-333
  • \r\n
  • 7995c95\r\nUpdating Simplified retry logic to DNS cache
  • \r\n
  • 29479ed\r\nMerge pull request #60872\r\nfrom tensorflow/r2.12-c45a6c0b1cb
  • \r\n
  • e76a933\r\nSimplified retry logic to DNS cache
  • \r\n
  • 76addf7\r\nMerge pull request #60850\r\nfrom elfringham/non_pip_fix
  • \r\n
  • 05987a8\r\n[Linaro:ARM_CI] Fix permissions for running nonpip tests
  • \r\n
  • 23724d2\r\nMerge pull request #60842\r\nfrom elfringham/r2.12
  • \r\n
  • 496730b\r\nLimit typing_extensions to less than 4.6.0 until it works
  • \r\n
  • Additional commits viewable in compare\r\nview
  • \r\n
\r\n
\r\n
\r\n\r\n\r\n[![Dependabot compatibility\r\nscore](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=tensorflow&package-manager=pip&previous-version=2.11.1&new-version=2.12.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)\r\n\r\nDependabot will resolve any conflicts with this PR as long as you don't\r\nalter it yourself. You can also trigger a rebase manually by commenting\r\n`@dependabot rebase`.\r\n\r\n[//]: # (dependabot-automerge-start)\r\n[//]: # (dependabot-automerge-end)\r\n\r\n---\r\n\r\n
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","shortMessageHtmlLink":"Bump tensorflow from 2.11.1 to 2.12.1 (#546)"}},{"before":"2a4590db0038cd9aa08b34a349e5763d624e6124","after":"3cc2dcbafd24916b8710ffb97986778f78fc4722","ref":"refs/heads/dependabot/pip/tensorflow-2.12.1","pushedAt":"2024-08-12T02:17:50.000Z","pushType":"push","commitsCount":3,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"},"commit":{"message":"Merge branch 'main' into dependabot/pip/tensorflow-2.12.1\n\nSigned-off-by: Fabiana Campanari ","shortMessageHtmlLink":"Merge branch 'main' into dependabot/pip/tensorflow-2.12.1"}},{"before":"566c15831f31245d12b941d70bc2732358f1a077","after":null,"ref":"refs/heads/dependabot/pip/keras-2.13.1","pushedAt":"2024-08-12T02:17:00.000Z","pushType":"branch_deletion","commitsCount":0,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"}},{"before":"bf57ad6a004425eb6aeb70f3d324d203e6480721","after":"cf8ae7d5e013aa9b795d346e8da7da165673929c","ref":"refs/heads/main","pushedAt":"2024-08-12T02:16:59.000Z","pushType":"pr_merge","commitsCount":2,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"},"commit":{"message":"Bump keras from 2.6 to 2.13.1 (#547)\n\nBumps [keras](https://github.com/keras-team/keras) from 2.6 to 2.13.1.\r\n
\r\nRelease notes\r\n

Sourced from keras's\r\nreleases.

\r\n
\r\n

Keras Release 2.13.1

\r\n

What's Changed

\r\n
    \r\n
  • Fix timeseries_dataset_from_array counts when sequence_stride > 1\r\nby @​basjacobs93 in\r\nkeras-team/keras#17396
  • \r\n
  • Fix doc for MultiHeadAttention's output_shape arg by @​tsdeng in keras-team/keras#17432
  • \r\n
  • Added a link to the TextVectorization API Reference Page. by @​Neeshamraghav012\r\nin keras-team/keras#17540
  • \r\n
  • Fix ConvNeXt classifier activation bug by @​Frightera in keras-team/keras#17544
  • \r\n
  • Activations clean up by @​joesho112358\r\nin keras-team/keras#17545
  • \r\n
  • Perform all ops in apply_gradient in a given tf.name_scope. by @​foxik in keras-team/keras#17550
  • \r\n
  • Bugfix/normalization invert by @​jerabaul29 in keras-team/keras#17501
  • \r\n
  • OptimizerV2: Allow deepcopy by @​jschueller in keras-team/keras#17463
  • \r\n
  • keras.models.clone_model creates different weight names for RNN\r\nlayers by @​mergian in keras-team/keras#17465
  • \r\n
  • Fix spelling error in Initializer warning by @​edknv in keras-team/keras#17568
  • \r\n
  • LayerScale fix to support pretrained ConvNeXt models with mixed\r\nprecision by @​andreped in keras-team/keras#17547
  • \r\n
  • Softmax fix in Mixed Precision by @​dsr-lab in keras-team/keras#17571
  • \r\n
  • Less restrictive ROCm+GRU/LSTM fallback logic by @​ekuznetsov139\r\nin keras-team/keras#17587
  • \r\n
  • Update security section. by @​sachinprasadhs\r\nin keras-team/keras#17522
  • \r\n
  • Fix serialization error with EfficientNet by @​RocketDelivery\r\nin keras-team/keras#17498
  • \r\n
  • grammar corrections by @​egurnick in keras-team/keras#17595
  • \r\n
  • Update documentation to keras reuters dataset by @​hxy9243 in keras-team/keras#17635
  • \r\n
  • Add Lion optimizer by @​drauh in keras-team/keras#17605
  • \r\n
  • Correct the docstring of Head func in convnext.py by @​Frightera in keras-team/keras#17667
  • \r\n
  • keras.layers.Bidirectional is missing argument "states",\r\nwhich is defined for keras.layers.RNN by @​mergian in keras-team/keras#17469
  • \r\n
  • fix a small bug in tf.keras.layer.Layer.compute_output_signature by\r\n@​yamanoko in keras-team/keras#17636
  • \r\n
  • Optimize mixed-precision finite check for sparse tensors. by @​nluehr in keras-team/keras#17638
  • \r\n
  • Typo Lion docstring by @​drauh in keras-team/keras#17726
  • \r\n
  • Raise ValueError if reducing axis dimension is 0 by @​old-school-kid\r\nin keras-team/keras#16755
  • \r\n
  • Add CategoricalFocalCrossentropy to Losses API by @​Frightera in keras-team/keras#17651
  • \r\n
  • Unifying interpolation selection by @​jpodivin in keras-team/keras#17742
  • \r\n
  • Add a missing space by @​sudoLife in keras-team/keras#17744
  • \r\n
  • [keras/initializers/initializers_v1.py] Standardise docstring usage\r\nof "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17785
  • \r\n
  • [keras/layers/convolutional/conv3d_transpose.py] Standardise\r\ndocstring usage of "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17797
  • \r\n
  • [keras/engine/training.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17780
  • \r\n
  • [keras/feature_column/dense_features.py] Standardise docstring usage\r\nof "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17783
  • \r\n
  • [keras/datasets/imdb.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17771
  • \r\n
  • [keras/backend.py] Standardise docstring usage of "Default\r\nto" by @​SamuelMarks in\r\nkeras-team/keras#17769
  • \r\n
  • [keras/engine/base_layer_utils.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17774
  • \r\n
  • [keras/layers/activation/leaky_relu.py] Standardise docstring usage\r\nof "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17786
  • \r\n
  • [keras/engine/training_v1.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17781
  • \r\n
  • [keras/layers/activation/relu.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17787
  • \r\n
  • [keras/layers/convolutional/conv2d_transpose.py] Standardise\r\ndocstring usage of "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17795
  • \r\n
  • [keras/layers/convolutional/conv3d.py] Standardise docstring usage\r\nof "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17796
  • \r\n
  • [keras/layers/activation/softmax.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17788
  • \r\n
  • [keras/layers/convolutional/depthwise_conv2d.py] Standardise\r\ndocstring usage of "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17799
  • \r\n
  • [keras/layers/convolutional/separable_conv2d.py] Standardise\r\ndocstring usage of "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17800
  • \r\n
  • [keras/layers/locally_connected/locally_connected2d.py] Standardise\r\ndocstring usage of "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17803
  • \r\n
  • [keras/layers/locally_connected/locally_connected1d.py] Standardise\r\ndocstring usage of "Default to" by @​SamuelMarks in\r\nkeras-team/keras#17802
  • \r\n
  • Fix performance issue with sample weights in model.fit() by @​nershman in keras-team/keras#17357
  • \r\n
  • [keras/datasets/reuters.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17772
  • \r\n
  • [keras/applications/mobilenet.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17763
  • \r\n
  • [keras/applications/inception_v3.py] Standardise docstring usage of\r\n"Default to" by @​SamuelMarks in\r\nkeras-team/keras#17762
  • \r\n
\r\n\r\n
\r\n

... (truncated)

\r\n
\r\n
\r\nCommits\r\n
    \r\n
  • b3ffea6\r\nCherrypick Sequential serialization bug fix for r2.13 (#18258)
  • \r\n
  • 87db506\r\nCherrypick the release script fix for RC. (#18082)
  • \r\n
  • a51c89a\r\nIncrease the version number for keras 2.13 (#18081)
  • \r\n
  • 861ad74\r\nAdds error for serializing metric using layer serialization.
  • \r\n
  • 1b7c53d\r\nAdds Keras v3 saving testing coverage to Keras layers tests.
  • \r\n
  • e7c4d09\r\nExpands Keras internal testing coverage for the new v3 saving format for\r\ncomm...
  • \r\n
  • d72829a\r\nChange references from distribution_strategy_context.py to\r\n`distribute_lib....
  • \r\n
  • 605b2d7\r\nMerge pull request #17961\r\nfrom SamuelMarks:keras.layers.activation-defaults-to
  • \r\n
  • a64d0b7\r\nMerge pull request #17955\r\nfrom SamuelMarks:keras.datasets-defaults-to
  • \r\n
  • cb1e1a0\r\nMerge pull request #17967\r\nfrom SamuelMarks:keras.layers.preprocessing-default...
  • \r\n
  • Additional commits viewable in compare\r\nview
  • \r\n
\r\n
\r\n
\r\n\r\n\r\n[![Dependabot compatibility\r\nscore](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=keras&package-manager=pip&previous-version=2.6&new-version=2.13.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)\r\n\r\nDependabot will resolve any conflicts with this PR as long as you don't\r\nalter it yourself. You can also trigger a rebase manually by commenting\r\n`@dependabot rebase`.\r\n\r\n[//]: # (dependabot-automerge-start)\r\n[//]: # (dependabot-automerge-end)\r\n\r\n---\r\n\r\n
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","shortMessageHtmlLink":"Bump keras from 2.6 to 2.13.1 (#547)"}},{"before":null,"after":"566c15831f31245d12b941d70bc2732358f1a077","ref":"refs/heads/dependabot/pip/keras-2.13.1","pushedAt":"2024-08-02T16:30:44.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"dependabot[bot]","name":null,"path":"/apps/dependabot","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/29110?s=80&v=4"},"commit":{"message":"Bump keras from 2.6 to 2.13.1\n\nBumps [keras](https://github.com/keras-team/keras) from 2.6 to 2.13.1.\n- [Release notes](https://github.com/keras-team/keras/releases)\n- [Commits](https://github.com/keras-team/keras/compare/v2.6.0...v2.13.1)\n\n---\nupdated-dependencies:\n- dependency-name: keras\n dependency-type: direct:production\n...\n\nSigned-off-by: dependabot[bot] ","shortMessageHtmlLink":"Bump keras from 2.6 to 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documentation update is required\r\n\r\n## How I've tested my work (please select one)\r\n\r\nI have verified these changes via:\r\n\r\n- [ ] Code inspection only, or\r\n- [ ] Newly added/modified unit tests, or\r\n- [ ] No unit tests but ran on a real repository, or\r\n- [ ] Both unit tests + ran on a real repository\r\n\r\n\r\n\r\n\r\n","shortMessageHtmlLink":"Netflix-Data-Analysis (#545)"}},{"before":"ddbef95235e72c8369c59c0b0df16bbc9282a91f","after":"509fd51ffdb3b034e8914f7eb48a0df19001b1dc","ref":"refs/heads/FabianaCampanari-patch-1","pushedAt":"2024-07-01T11:17:22.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"FabianaCampanari","name":"Fabiana 🚀 Campanari","path":"/FabianaCampanari","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/113218619?s=80&v=4"},"commit":{"message":"Netflix-Data-Analysis\n\nSigned-off-by: Fabiana Campanari 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