Bump the python group across 1 directory with 7 updates

[dependabot]

Updates the requirements on tensorflow-cpu, tensorflow, tensorflow-text, torch, torchvision, transformers and tensorflow[and-cuda] to permit the latest version.
Updates tensorflow-cpu to 2.20.0

Release notes

Sourced from tensorflow-cpu's releases.

TensorFlow 2.20.0

Release 2.20.0

TensorFlow

Breaking Changes

• The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Major Features and Improvements

• tf.data
  • Adds autotune.min_parallelism to tf.data.Options to enable faster input pipeline warm up.
• tf.lite
  • tf.lite will be deprecated, in favor of the new repo https://github.com/google-ai-edge/LiteRT.
  • The duplicated source will also be removed from the TF repo.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

1ndig0, 372046933, abhinav, afzpatel, Akhil Goel, Alain Carlucci, Aleksei, Alen Huang, Alex, Amrinfathima-Mcw, Aravindh Balaji, Armand Picard, Aseem Athale, Ashiq Imran, Assoap, Chao, Chase Riley Roberts, Chenhao Jiang, chunhsue, chuntl, Chunyu Jin, Corentin Kerisit, Crefeda Rodrigues, dependabot[bot], Dragan Mladjenovic, Elen Kalda, Felix Thomasmathibalan, gabeweisz, Gauri Deshpande, Georg Stefan Schmid, Guozhong Zhuang, Harsha H S, Harshith_N, Hugo Mano, Ian Tayler Lessa, Jack Wolfard, James Ward, Jane Liu, Jaroslav Sevcik, JD, Jerry-Ge, Jian Li, Jinzhe Zeng, jiunkaiy, Johannes Reifferscheid, johnnkp, junweifu, Kanvi Khanna, Kasper Nielsen, Linzb-Xyz, Luke Hutton, Mahmoud Abuzaina, Mathew Odden, Michael Platings, misterBart, Mitchell Ludwig, Mmakevic-Amd, mraunak, NamanAgarwal0905, Namrata-Ibm, Neuropilot-Captain, nhatle, Nicholas Wilson, Nikhil Shinde, Olli Lupton, Patrick J. Lopresti, Pavel Emeliyanenko, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratham-Mcw, RahulSudarMCW, RakshithGB, Rakshithgb-Fujitsu, RuslanSemchenko, Ruturaj Vaidya, Sachin Muradi, sandeepgupta12, SaoirseARM, Sergey Kozub, Sevin Fide Varoglu, Shanbin Ke, Shaogang Wang, Shraiysh Vaishay, Siddhartha Menon, spiao, Swatheesh Muralidharan, Tai Ly, Terry Sun, Thibaut Goetghebuer-Planchon, Thomas Dickerson, Tilak, Tj Xu, Trevor Morris, tyb0807, vfdev, Wei Wang, wokron, wondertx, Xuefei Jiang, Yaowei Zhou, Zentrik, Ziyun Cheng, Zoranjovanovic-Ns

Changelog

Sourced from tensorflow-cpu's changelog.

Release 2.20.0

TensorFlow

Breaking Changes

• The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Major Features and Improvements

• tf.data
  • Adds autotune.min_parallelism to tf.data.Options to enable faster input pipeline warm up.
• tf.lite
  • LiteRT announced a new release at Google IO ‘25 that improves upon TFLite, particularly in terms of NPU and GPU hardware acceleration and performance for on-device ML and AI applications. The APIs are available in Kotlin and C++.
  • Additionally, LiteRT code base will decouple from TensorFlow repository, and tf.lite will be removed in future TensorFlow Python package. More details to follow in future release notes.
  • Migrate to LiteRT for continued updates; the new repo can be found at https://github.com/google-ai-edge/LiteRT. For more information and NPU EAP signup, reach out to the team at: g.co/ai/LiteRT-NPU-EAP.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

1ndig0, 372046933, abhinav, afzpatel, Akhil Goel, Alain Carlucci, Aleksei, Alen Huang, Alex, Amrinfathima-Mcw, Aravindh Balaji, Armand Picard, Aseem Athale, Ashiq Imran, Assoap, Chao, Chase Riley Roberts, Chenhao Jiang, chunhsue, chuntl, Chunyu Jin, Corentin Kerisit, Crefeda Rodrigues, dependabot[bot], Dragan Mladjenovic, Elen Kalda, Felix Thomasmathibalan, gabeweisz, Gauri Deshpande, Georg Stefan Schmid, Guozhong Zhuang, Harsha H S, Harshith_N, Hugo Mano, Ian Tayler Lessa, Jack Wolfard, James Ward, Jane Liu, Jaroslav Sevcik, JD, Jerry-Ge, Jian Li, Jinzhe Zeng, jiunkaiy, Johannes Reifferscheid, johnnkp, junweifu, Kanvi Khanna, Kasper Nielsen, Linzb-Xyz, Luke Hutton, Mahmoud Abuzaina, Mathew Odden, Michael Platings, misterBart, Mitchell Ludwig, Mmakevic-Amd, mraunak, NamanAgarwal0905, Namrata-Ibm, Neuropilot-Captain, nhatle, Nicholas Wilson, Nikhil Shinde, Olli Lupton, Patrick J. Lopresti, Pavel Emeliyanenko, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratham-Mcw, RahulSudarMCW, RakshithGB, Rakshithgb-Fujitsu, RuslanSemchenko, Ruturaj Vaidya, Sachin Muradi, sandeepgupta12, SaoirseARM, Sergey Kozub, Sevin Fide Varoglu, Shanbin Ke, Shaogang Wang, Shraiysh Vaishay, Siddhartha Menon, spiao, Swatheesh Muralidharan, Tai Ly, Terry Sun, Thibaut Goetghebuer-Planchon, Thomas Dickerson, Tilak, Tj Xu, Trevor Morris, tyb0807, vfdev, Wei Wang, wokron, wondertx, Xuefei Jiang, Yaowei Zhou, Zentrik, Ziyun Cheng, Zoranjovanovic-Ns

Release 2.19.1

Bug Fixes and Other Changes

• Fix save_model.save for Serving embedding and add SparseCore Reshard.

Release 2.19.0

TensorFlow

Breaking Changes

• LiteRT, a.k.a. tf.lite:
  • C++ API:
    • The public constants tflite::Interpreter:kTensorsReservedCapacity and tflite::Interpreter:kTensorsCapacityHeadroom are now const references, rather than constexpr compile-time constants. (This is to enable better API compatibility for TFLite in Play services while preserving the implementation flexibility to change the values of these constants in the future.)
  • Python API:
    • tf.lite.Interpreter gives deprecation warning redirecting to its new location at ai_edge_litert.interpreter, as the API tf.lite.Interpreter will be deleted in TF 2.20. See the migration guide for details.

... (truncated)

Commits

• 72fbba3 Merge pull request #98438 from tensorflow-jenkins/version-numbers-2.20.0-17429
• bf5899d Update version numbers to 2.20.0
• a80fbfe Merge pull request #97728 from tensorflow/r2.20-b0b73e1d3b4
• b2eeb62 Fix release wheels build.
• 2272fa9 Merge pull request #97519 from rtg0795/r2.20
• 2cbf40e Refresh lock files
• 89106da Update keras in requirements.in and setup.py.tpl
• ea85f43 Merge pull request #97305 from rtg0795/r2.20
• 58d26a9 Update BUILD files with dependencies
• de4ccfb Merge pull request #97302 from rtg0795/r2.20
• Additional commits viewable in compare view

Updates tensorflow to 2.20.0

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.20.0

Release 2.20.0

TensorFlow

Breaking Changes

• The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Major Features and Improvements

• tf.data
  • Adds autotune.min_parallelism to tf.data.Options to enable faster input pipeline warm up.
• tf.lite
  • tf.lite will be deprecated, in favor of the new repo https://github.com/google-ai-edge/LiteRT.
  • The duplicated source will also be removed from the TF repo.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

1ndig0, 372046933, abhinav, afzpatel, Akhil Goel, Alain Carlucci, Aleksei, Alen Huang, Alex, Amrinfathima-Mcw, Aravindh Balaji, Armand Picard, Aseem Athale, Ashiq Imran, Assoap, Chao, Chase Riley Roberts, Chenhao Jiang, chunhsue, chuntl, Chunyu Jin, Corentin Kerisit, Crefeda Rodrigues, dependabot[bot], Dragan Mladjenovic, Elen Kalda, Felix Thomasmathibalan, gabeweisz, Gauri Deshpande, Georg Stefan Schmid, Guozhong Zhuang, Harsha H S, Harshith_N, Hugo Mano, Ian Tayler Lessa, Jack Wolfard, James Ward, Jane Liu, Jaroslav Sevcik, JD, Jerry-Ge, Jian Li, Jinzhe Zeng, jiunkaiy, Johannes Reifferscheid, johnnkp, junweifu, Kanvi Khanna, Kasper Nielsen, Linzb-Xyz, Luke Hutton, Mahmoud Abuzaina, Mathew Odden, Michael Platings, misterBart, Mitchell Ludwig, Mmakevic-Amd, mraunak, NamanAgarwal0905, Namrata-Ibm, Neuropilot-Captain, nhatle, Nicholas Wilson, Nikhil Shinde, Olli Lupton, Patrick J. Lopresti, Pavel Emeliyanenko, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratham-Mcw, RahulSudarMCW, RakshithGB, Rakshithgb-Fujitsu, RuslanSemchenko, Ruturaj Vaidya, Sachin Muradi, sandeepgupta12, SaoirseARM, Sergey Kozub, Sevin Fide Varoglu, Shanbin Ke, Shaogang Wang, Shraiysh Vaishay, Siddhartha Menon, spiao, Swatheesh Muralidharan, Tai Ly, Terry Sun, Thibaut Goetghebuer-Planchon, Thomas Dickerson, Tilak, Tj Xu, Trevor Morris, tyb0807, vfdev, Wei Wang, wokron, wondertx, Xuefei Jiang, Yaowei Zhou, Zentrik, Ziyun Cheng, Zoranjovanovic-Ns

Changelog

Sourced from tensorflow's changelog.

Release 2.20.0

TensorFlow

Breaking Changes

• The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Major Features and Improvements

• tf.data
  • Adds autotune.min_parallelism to tf.data.Options to enable faster input pipeline warm up.
• tf.lite
  • LiteRT announced a new release at Google IO ‘25 that improves upon TFLite, particularly in terms of NPU and GPU hardware acceleration and performance for on-device ML and AI applications. The APIs are available in Kotlin and C++.
  • Additionally, LiteRT code base will decouple from TensorFlow repository, and tf.lite will be removed in future TensorFlow Python package. More details to follow in future release notes.
  • Migrate to LiteRT for continued updates; the new repo can be found at https://github.com/google-ai-edge/LiteRT. For more information and NPU EAP signup, reach out to the team at: g.co/ai/LiteRT-NPU-EAP.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

1ndig0, 372046933, abhinav, afzpatel, Akhil Goel, Alain Carlucci, Aleksei, Alen Huang, Alex, Amrinfathima-Mcw, Aravindh Balaji, Armand Picard, Aseem Athale, Ashiq Imran, Assoap, Chao, Chase Riley Roberts, Chenhao Jiang, chunhsue, chuntl, Chunyu Jin, Corentin Kerisit, Crefeda Rodrigues, dependabot[bot], Dragan Mladjenovic, Elen Kalda, Felix Thomasmathibalan, gabeweisz, Gauri Deshpande, Georg Stefan Schmid, Guozhong Zhuang, Harsha H S, Harshith_N, Hugo Mano, Ian Tayler Lessa, Jack Wolfard, James Ward, Jane Liu, Jaroslav Sevcik, JD, Jerry-Ge, Jian Li, Jinzhe Zeng, jiunkaiy, Johannes Reifferscheid, johnnkp, junweifu, Kanvi Khanna, Kasper Nielsen, Linzb-Xyz, Luke Hutton, Mahmoud Abuzaina, Mathew Odden, Michael Platings, misterBart, Mitchell Ludwig, Mmakevic-Amd, mraunak, NamanAgarwal0905, Namrata-Ibm, Neuropilot-Captain, nhatle, Nicholas Wilson, Nikhil Shinde, Olli Lupton, Patrick J. Lopresti, Pavel Emeliyanenko, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratham-Mcw, RahulSudarMCW, RakshithGB, Rakshithgb-Fujitsu, RuslanSemchenko, Ruturaj Vaidya, Sachin Muradi, sandeepgupta12, SaoirseARM, Sergey Kozub, Sevin Fide Varoglu, Shanbin Ke, Shaogang Wang, Shraiysh Vaishay, Siddhartha Menon, spiao, Swatheesh Muralidharan, Tai Ly, Terry Sun, Thibaut Goetghebuer-Planchon, Thomas Dickerson, Tilak, Tj Xu, Trevor Morris, tyb0807, vfdev, Wei Wang, wokron, wondertx, Xuefei Jiang, Yaowei Zhou, Zentrik, Ziyun Cheng, Zoranjovanovic-Ns

Release 2.19.1

Bug Fixes and Other Changes

• Fix save_model.save for Serving embedding and add SparseCore Reshard.

Release 2.19.0

TensorFlow

Breaking Changes

• LiteRT, a.k.a. tf.lite:
  • C++ API:
    • The public constants tflite::Interpreter:kTensorsReservedCapacity and tflite::Interpreter:kTensorsCapacityHeadroom are now const references, rather than constexpr compile-time constants. (This is to enable better API compatibility for TFLite in Play services while preserving the implementation flexibility to change the values of these constants in the future.)
  • Python API:
    • tf.lite.Interpreter gives deprecation warning redirecting to its new location at ai_edge_litert.interpreter, as the API tf.lite.Interpreter will be deleted in TF 2.20. See the migration guide for details.

... (truncated)

Commits

• 72fbba3 Merge pull request #98438 from tensorflow-jenkins/version-numbers-2.20.0-17429
• bf5899d Update version numbers to 2.20.0
• a80fbfe Merge pull request #97728 from tensorflow/r2.20-b0b73e1d3b4
• b2eeb62 Fix release wheels build.
• 2272fa9 Merge pull request #97519 from rtg0795/r2.20
• 2cbf40e Refresh lock files
• 89106da Update keras in requirements.in and setup.py.tpl
• ea85f43 Merge pull request #97305 from rtg0795/r2.20
• 58d26a9 Update BUILD files with dependencies
• de4ccfb Merge pull request #97302 from rtg0795/r2.20
• Additional commits viewable in compare view

Updates tensorflow-text to 2.20.0

Release notes

Sourced from tensorflow-text's releases.

v2.20.0

Release 2.20.0

Bug Fixes and Other Changes

• Fix nightly builds.
• iterate over Unicode White_Space directly, rather than testing each of 1.1M code points
• Change input size from int16_t to int32_t to support large inputs.
• Ignore SentencePiece::BYTE during encoding instead of throwing error
• Fix TF-text for TF 2.20.
• Update requirements with latest tensorflow-metadata.
• Fix configure to pull bazelrc from TF 2.20.
• update sha256 for tensorflow 2.20.0
• Revert "update sha256 for tensorflow 2.20.0"
• Change strip_prefix logic to grab sha256 properly
• Limit array-record dependency to Linux x86_64 and aarch64.
• Pin array-record to 0.4.1 for darwin platform
• Adds build_bazel_apple_support for newer macOS builds

Commits

• 54015a8 Adds build_bazel_apple_support for newer macOS builds
• 830c51d Pin array-record to 0.4.1 for darwin platform
• 894337f Limit array-record dependency to Linux x86_64 and aarch64.
• 31f7b34 Change strip_prefix logic to grab sha256 properly
• 05e1a5c Revert "update sha256 for tensorflow 2.20.0"
• 2f6765e update sha256 for tensorflow 2.20.0
• ca5b1b2 Fix configure to pull bazelrc from TF 2.20.
• 5058e32 Update requirements with latest tensorflow-metadata.
• 7215af0 Internal configuration change.
• eee824d Fix TF-text for TF 2.20.
• Additional commits viewable in compare view

Updates torch from 2.7.1+cu126 to 2.10.0+cu126

Updates torchvision from 0.22.1+cu126 to 0.25.0+cu126

Updates transformers to 5.0.0

Release notes

Sourced from transformers's releases.

Transformers v5 release notes

• Highlights
• Significant API changes: dynamic weight loading, tokenization
• Backwards Incompatible Changes
• Bugfixes and improvements

We have a migration guide that will be continuously updated available on the main branch, please check it out in case you're facing issues: migration guide.

Highlights

We are excited to announce the initial release of Transformers v5. This is the first major release in five years, and the release is significant: 1200 commits have been pushed to main since the latest minor release. This release removes a lot of long-due deprecations, introduces several refactors that significantly simplify our APIs and internals, and comes with a large number of bug fixes.

We give an overview of our focus for this release in the following blogpost. In these release notes, we'll focus directly on the refactors and new APIs coming with v5.

This release is the full V5 release. It sets in motion something bigger: going forward, starting with v5, we'll now release minor releases every week, rather than every 5 weeks. Expect v5.1 to follow next week, then v5.2 the week that follows, etc.

We're moving forward with this change to ensure you have access to models as soon as they're supported in the library, rather than a few weeks after.

In order to install this release, please do so with the following:

pip install transformers

For us to deliver the best package possible, it is imperative that we have feedback on how the toolkit is currently working for you. Please try it out, and open an issue in case you're facing something inconsistent/a bug.

Transformers version 5 is a community endeavor, and we couldn't have shipped such a massive release without the help of the entire community.

Significant API changes

Dynamic weight loading

We introduce a new weight loading API in transformers, which significantly improves on the previous API. This weight loading API is designed to apply operations to the checkpoints loaded by transformers.

Instead of loading the checkpoint exactly as it is serialized within the model, these operations can reshape, merge, and split the layers according to how they're defined in this new API. These operations are often a necessity when working with quantization or parallelism algorithms.

This new API is centered around the new WeightConverter class:

class WeightConverter(WeightTransform):
    operations: list[ConversionOps]
    source_keys: Union[str, list[str]]
    target_keys: Union[str, list[str]]

... (truncated)

Commits

• 08810b1 v5.0.0
• dcd7a10 fix dependencies to make sure release runs
• 93b425d Revise MIGRATION_GUIDE_V5.md for version 5 updates (#43485)
• 1e8d129 bring back clean_up_tokenization_spaces to tokenizers backend (#43426)
• 4df39f4 Fix lm_head weight tying in Mistral3ForConditionalGeneration (#43429)
• 55d1d09 Fix Pixtral with flash attention (#43443)
• a30413b fix gguf recent conversion issues (#43465)
• 728d64e 43125: Ensure correct checkpoint saving behavior by simplifying Trainer.save_...
• f5722a5 [DeepSpeed] add weight_mapping to _load_state_dict_into_zero3_model (#43303)
• c76c197 fix(models): Add tie_word_embeddings parameter to AyaVisionConfig for proper ...
• Additional commits viewable in compare view

Updates tensorflow[and-cuda] to 2.20.0

Release notes

Sourced from tensorflow[and-cuda]'s releases.

TensorFlow 2.20.0

Release 2.20.0

TensorFlow

Breaking Changes

• The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Major Features and Improvements

• tf.data
  • Adds autotune.min_parallelism to tf.data.Options to enable faster input pipeline warm up.
• tf.lite
  • tf.lite will be deprecated, in favor of the new repo https://github.com/google-ai-edge/LiteRT.
  • The duplicated source will also be removed from the TF repo.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

1ndig0, 372046933, abhinav, afzpatel, Akhil Goel, Alain Carlucci, Aleksei, Alen Huang, Alex, Amrinfathima-Mcw, Aravindh Balaji, Armand Picard, Aseem Athale, Ashiq Imran, Assoap, Chao, Chase Riley Roberts, Chenhao Jiang, chunhsue, chuntl, Chunyu Jin, Corentin Kerisit, Crefeda Rodrigues, dependabot[bot], Dragan Mladjenovic, Elen Kalda, Felix Thomasmathibalan, gabeweisz, Gauri Deshpande, Georg Stefan Schmid, Guozhong Zhuang, Harsha H S, Harshith_N, Hugo Mano, Ian Tayler Lessa, Jack Wolfard, James Ward, Jane Liu, Jaroslav Sevcik, JD, Jerry-Ge, Jian Li, Jinzhe Zeng, jiunkaiy, Johannes Reifferscheid, johnnkp, junweifu, Kanvi Khanna, Kasper Nielsen, Linzb-Xyz, Luke Hutton, Mahmoud Abuzaina, Mathew Odden, Michael Platings, misterBart, Mitchell Ludwig, Mmakevic-Amd, mraunak, NamanAgarwal0905, Namrata-Ibm, Neuropilot-Captain, nhatle, Nicholas Wilson, Nikhil Shinde, Olli Lupton, Patrick J. Lopresti, Pavel Emeliyanenko, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratham-Mcw, RahulSudarMCW, RakshithGB, Rakshithgb-Fujitsu, RuslanSemchenko, Ruturaj Vaidya, Sachin Muradi, sandeepgupta12, SaoirseARM, Sergey Kozub, Sevin Fide Varoglu, Shanbin Ke, Shaogang Wang, Shraiysh Vaishay, Siddhartha Menon, spiao, Swatheesh Muralidharan, Tai Ly, Terry Sun, Thibaut Goetghebuer-Planchon, Thomas Dickerson, Tilak, Tj Xu, Trevor Morris, tyb0807, vfdev, Wei Wang, wokron, wondertx, Xuefei Jiang, Yaowei Zhou, Zentrik, Ziyun Cheng, Zoranjovanovic-Ns

Changelog

Sourced from tensorflow[and-cuda]'s changelog.

Release 2.20.0

TensorFlow

Breaking Changes

• The tensorflow-io-gcs-filesystem package is now optional, due its uncertain, and limited support. To install it alongside tensorflow, run pip install "tensorflow[gcs-filesystem]".

Major Features and Improvements

• tf.data
  • Adds autotune.min_parallelism to tf.data.Options to enable faster input pipeline warm up.
• tf.lite
  • LiteRT announced a new release at Google IO ‘25 that improves upon TFLite, particularly in terms of NPU and GPU hardware acceleration and performance for on-device ML and AI applications. The APIs are available in Kotlin and C++.
  • Additionally, LiteRT code base will decouple from TensorFlow repository, and tf.lite will be removed in future TensorFlow Python package. More details to follow in future release notes.
  • Migrate to LiteRT for continued updates; the new repo can be found at https://github.com/google-ai-edge/LiteRT. For more information and NPU EAP signup, reach out to the team at: g.co/ai/LiteRT-NPU-EAP.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

1ndig0, 372046933, abhinav, afzpatel, Akhil Goel, Alain Carlucci, Aleksei, Alen Huang, Alex, Amrinfathima-Mcw, Aravindh Balaji, Armand Picard, Aseem Athale, Ashiq Imran, Assoap, Chao, Chase Riley Roberts, Chenhao Jiang, chunhsue, chuntl, Chunyu Jin, Corentin Kerisit, Crefeda Rodrigues, dependabot[bot], Dragan Mladjenovic, Elen Kalda, Felix Thomasmathibalan, gabeweisz, Gauri Deshpande, Georg Stefan Schmid, Guozhong Zhuang, Harsha H S, Harshith_N, Hugo Mano, Ian Tayler Lessa, Jack Wolfard, James Ward, Jane Liu, Jaroslav Sevcik, JD, Jerry-Ge, Jian Li, Jinzhe Zeng, jiunkaiy, Johannes Reifferscheid, johnnkp, junweifu, Kanvi Khanna, Kasper Nielsen, Linzb-Xyz, Luke Hutton, Mahmoud Abuzaina, Mathew Odden, Michael Platings, misterBart, Mitchell Ludwig, Mmakevic-Amd, mraunak, NamanAgarwal0905, Namrata-Ibm, Neuropilot-Captain, nhatle, Nicholas Wilson, Nikhil Shinde, Olli Lupton, Patrick J. Lopresti, Pavel Emeliyanenko, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratham-Mcw, RahulSudarMCW, RakshithGB, Rakshithgb-Fujitsu, RuslanSemchenko, Ruturaj Vaidya, Sachin Muradi, sandeepgupta12, SaoirseARM, Sergey Kozub, Sevin Fide Varoglu, Shanbin Ke, Shaogang Wang, Shraiysh Vaishay, Siddhartha Menon, spiao, Swatheesh Muralidharan, Tai Ly, Terry Sun, Thibaut Goetghebuer-Planchon, Thomas Dickerson, Tilak, Tj Xu, Trevor Morris, tyb0807, vfdev, Wei Wang, wokron, wondertx, Xuefei Jiang, Yaowei Zhou, Zentrik, Ziyun Cheng, Zoranjovanovic-Ns

Release 2.19.1

Bug Fixes and Other Changes

• Fix save_model.save for Serving embedding and add SparseCore Reshard.

Release 2.19.0

TensorFlow

Breaking Changes

• LiteRT, a.k.a. tf.lite:
  • C++ API:
    • The public constants tflite::Interpreter:kTensorsReservedCapacity and tflite::Interpreter:kTensorsCapacityHeadroom are now const references, rather than constexpr compile-time constants. (This is to enable better API compatibility for TFLite in Play services while preserving the implementation flexibility to change the values of these constants in the future.)
  • Python API:
    • tf.lite.Interpreter gives deprecation warning redirecting to its new location at ai_edge_litert.interpreter, as the API tf.lite.Interpreter will be deleted in TF 2.20. See the migration guide for details.

... (truncated)

Commits

• 72fbba3 Merge pull request #98438 from tensorflow-jenkins/version-numbers-2.20.0-17429
• bf5899d Update version numbers to 2.20.0
• a80fbfe Merge pull request #97728 from tensorflow/r2.20-b0b73e1d3b4
• b2eeb62 Fix release wheels build.
• 2272fa9 Merge pull request #97519 from rtg0795/r2.20
• 2cbf40e Refresh lock files
• 89106da Update keras in requirements.in and setup.py.tpl
• ea85f43 Merge pull request #97305 from rtg0795/r2.20
• 58d26a9 Update BUILD files with dependencies
• de4ccfb Merge pull request #97302 from rtg0795/r2.20
• Additional commits viewable in compare view

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• @dependabot ignore <dependency name> major version will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself)
• @dependabot ignore <dependency name> minor version will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself)
• @dependabot ignore <dependency name> will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself)
• @dependabot unignore <dependency name> will remove all of the ignore conditions of the specified dependency
• @dependabot unignore <dependency name> <ignore condition> will remove the ignore condition of the specified dependency and ignore conditions