Bump the python group with 5 updates

[dependabot]

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

Updates torch from 2.7.1+cu126 to 2.8.0+cu126

Updates torchvision from 0.22.1+cu126 to 0.23.0+cu126

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

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @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