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Updates the requirements on tensorflow-cpu, tensorflow, torch, torch-xla 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

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

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 torch from 2.6.0 to 2.8.0+cpu

Updates torch-xla from 2.6.0 to 2.8.1

Release notes

Sourced from torch-xla's releases.

PyTorch/XLA 2.8 release

Highlights

  • Broader Platform Support: Build support has been added for Python 3.12 and 3.13.

  • New Quantization Features: Introduced support for weight-8-bit, activation-8-bit (w8a8) quantized matrix multiplication, including both the kernel and the Torch/XLA wrapper.

  • Torchax Enhancements: The torchax library has been significantly improved with new features like torchax.amp.autocast, support for bicubic and bilinear resampling, and better interoperability with Flax.

  • Distributed Computing: Added support for the torch.distributed.scatter collective operation and fixed logic for all_gather_into_tensor.

Bug Fixes

  • Fixed an issue in EmbeddingDenseBackward by removing an unnecessary cast of padding_idx to double.
  • Corrected all_gather_into_tensor logic.
  • Resolved an issue where Allgather would incorrectly check tuple shapes.
  • Fixed unspecified behavior in custom calls.
  • Addressed a bug in the ragged paged attention kernel by applying a KV mask to filter out NaNs.
  • Corrected the reloading of sharded optimizer parameter groups and master weights.
  • Fixed an issue where NoneRemover was not returning the modified list/tuple.

Deprecations

  • A warning will now be surfaced upon initialization if the deprecated XLA:CUDA device is used. Nightly CUDA builds have been removed.
  • The devkind field from xla_model.xla_device is deprecated.
  • ShapeOfXlaOp is deprecated in favor of GetShape.

What's Changed

... (truncated)

Commits

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

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
Bump the python group with 5 updates
46a6449 
Updates the requirements on [tensorflow-cpu](https://github.com/tensorflow/tensorflow), [tensorflow](https://github.com/tensorflow/tensorflow), torch, [torch-xla](https://github.com/pytorch/xla) and [tensorflow[and-cuda]](https://github.com/tensorflow/tensorflow) to permit the latest version.

Updates `tensorflow-cpu` to 2.20.0
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.18.1...v2.20.0)

Updates `tensorflow` to 2.20.0
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.18.1...v2.20.0)

Updates `torch` from 2.6.0 to 2.8.0+cpu

Updates `torch-xla` from 2.6.0 to 2.8.1
- [Release notes](https://github.com/pytorch/xla/releases)
- [Commits](pytorch/xla@v2.6.0...v2.8.1)

Updates `tensorflow[and-cuda]` to 2.20.0
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.18.1...v2.20.0)

---
updated-dependencies:
- dependency-name: tensorflow-cpu
  dependency-version: 2.20.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: tensorflow
  dependency-version: 2.20.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: torch
  dependency-version: 2.8.0+cpu
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python
- dependency-name: torch-xla
  dependency-version: 2.8.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python
- dependency-name: tensorflow[and-cuda]
  dependency-version: 2.20.0
  dependency-type: direct:production
  dependency-group: python
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Oct 1, 2025
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 10, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
3cf2641 
Replacement for keras-team#21704
@hertschuh hertschuh mentioned this pull request Oct 10, 2025
Merged
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 10, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
6cb2d88 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 10, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
ddff6e5 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 10, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
3bbf56f 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 10, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
1b10544 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
ef0c87e 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
f3ef4fd 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
b58cd1c 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
e0b1683 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
4a55e58 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
1a62feb 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
9565f61 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
621a3c6 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
ab91082 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
192e1d1 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
b6964f7 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
24f3e82 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
0fe5e27 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
64ee9bf 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
6a4b251 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
e257167 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
725e24b 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
164da0e 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
d4ea6ca 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 11, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
9079421 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 12, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
90a1b46 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 12, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
baba52f 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 12, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
a6bf016 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 12, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
9cd2bc7 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 13, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
8a29ab8 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 13, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
42e3d55 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 13, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
d514ad4 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 13, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
0904c7e 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 13, 2025
@hertschuh
Update Torch version everywhere and TF version on GPU.
80abe02 
Replacement for keras-team#21704
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 14, 2025
@hertschuh
Update Torch and Tensorflow versions in cuda requirements files.
cf8949a 
Replacement for keras-team#21704

Also:
- Disabled an ONNX export test for Torch that was already disabled on GPU with both JAX and Tensorflow.
- Moved install for `tf_keras` from `requirements.txt` to `action.yml` using the `--no-deps` option because `tf_keras` depends on `tensorflow`, which installs the non-CPU version of TensorFlow and causes issues with CPU tests.
hertschuh added a commit to hertschuh/keras that referenced this pull request Oct 14, 2025
@hertschuh
Update Torch and Tensorflow versions in cuda requirements files.
778112f 
Replacement for keras-team#21704

Also:
- Disabled an ONNX export test for Torch that was already disabled on GPU with both JAX and Tensorflow.
- Moved install for `tf_keras` from `requirements.txt` to `action.yml` using the `--no-deps` option because `tf_keras` depends on `tensorflow`, which installs the non-CPU version of TensorFlow and causes issues with CPU tests.
hertschuh added a commit that referenced this pull request Oct 15, 2025
@hertschuh
Update Torch and Tensorflow versions in cuda requirements files. (#21732
ccbc9d4 
)

Replacement for #21704

Also:
- Disabled an ONNX export test for Torch that was already disabled on GPU with both JAX and Tensorflow.
- Moved install for `tf_keras` from `requirements.txt` to `action.yml` using the `--no-deps` option because `tf_keras` depends on `tensorflow`, which installs the non-CPU version of TensorFlow and causes issues with CPU tests.
@dependabot @github
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dependabot bot commented on behalf of github Oct 15, 2025

Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot bot closed this Oct 15, 2025
@dependabot dependabot bot deleted the dependabot/pip/python-3341689d3d branch October 15, 2025 05:56
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