Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update tensorflow requirement from <=2.13.1 to <=2.16.1 #4

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update tensorflow requirement from <=2.13.1 to <=2.16.1 #4

wants to merge 1 commit into from

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Mar 11, 2024

Updates the requirements on tensorflow to permit the latest version.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.16.1

Release 2.16.1

TensorFlow

  • TensorFlow Windows Build:
    • Clang is now the default compiler to build TensorFlow CPU wheels on the Windows Platform starting with this release. The currently supported version is LLVM/clang 17. The official Wheels-published on PyPI will be based on Clang; however, users retain the option to build wheels using the MSVC compiler following the steps mentioned in https://www.tensorflow.org/install/source_windows as has been the case before
  • TensorFlow 2.16 will be released as TF 2.16.1 (instead of 2.16.0). The patch release will be done as 2.16.2 during the next release cycle.

Breaking Changes

  • tf.summary.trace_on now takes a profiler_outdir argument. This must be set if profiler arg is set to True.

    • tf.summary.trace_export's profiler_outdir arg is now a no-op. Enabling the profiler now requires setting profiler_outdir in trace_on.

  • tf.estimator

    • The tf.estimator API is removed.
    • To continue using tf.estimator, you will need to use TF 2.15 or an earlier version.

  • Keras 3.0 will be the default Keras version. You may need to update your script to use Keras 3.0.

  • Please refer to the new Keras documentation for Keras 3.0 (https://keras.io/keras_3).

  • To continue using Keras 2.0, do the following.

    1. Install tf-keras via pip install tf-keras~=2.16

    2. To switch tf.keras to use Keras 2 (tf-keras), set the environment variable TF_USE_LEGACY_KERAS=1 directly or in your python program with import os;os.environ["TF_USE_LEGACY_KERAS"]="1". Please note that this will set it for all packages in your Python runtime program

    3. Change the keras import: replace import tensorflow.keras as keras or import keras with import tf_keras as keras. Update any tf.keras references to keras.

  • Apple Silicon users: If you previously installed TensorFlow using pip install tensorflow-macos, please update your installation method. Use pip install tensorflow from now on.

  • Mac x86 users: Mac x86 builds are being deprecated and will no longer be released as a Pip package from TF 2.17 onwards.

Known Caveats

  • Full aarch64 Linux and Arm64 macOS wheels are now published to the tensorflow pypi repository and no longer redirect to a separate package.

Major Features and Improvements

  • Support for Python 3.12 has been added.
  • tensorflow-tpu package is now available for easier TPU based installs.
  • TensorFlow pip packages are now built with CUDA 12.3 and cuDNN 8.9.7
  • Added experimental support for float16 auto-mixed precision using the new AMX-FP16 instruction set on X86 CPUs.

Bug Fixes and Other Changes

  • tf.lite

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.16.1

TensorFlow

  • TensorFlow Windows Build:
    • Clang is now the default compiler to build TensorFlow CPU wheels on the Windows Platform starting with this release. The currently supported version is LLVM/clang 17. The official Wheels-published on PyPI will be based on Clang; however, users retain the option to build wheels using the MSVC compiler following the steps mentioned in https://www.tensorflow.org/install/source_windows as has been the case before
  • TensorFlow 2.16 will be released as TF 2.16.1 (instead of 2.16.0). The patch release will be done as 2.16.2 during the next release cycle.

Breaking Changes

  • tf.summary.trace_on now takes a profiler_outdir argument. This must be set if profiler arg is set to True.

    • tf.summary.trace_export's profiler_outdir arg is now a no-op. Enabling the profiler now requires setting profiler_outdir in trace_on.

  • tf.estimator

    • The tf.estimator API is removed.
    • To continue using tf.estimator, you will need to use TF 2.15 or an earlier version.

  • Keras 3.0 will be the default Keras version. You may need to update your script to use Keras 3.0.

  • Please refer to the new Keras documentation for Keras 3.0 (https://keras.io/keras_3).

  • To continue using Keras 2.0, do the following.

    1. Install tf-keras via pip install tf-keras~=2.16

    2. To switch tf.keras to use Keras 2 (tf-keras), set the environment variable TF_USE_LEGACY_KERAS=1 directly or in your python program with import os;os.environ["TF_USE_LEGACY_KERAS"]="1". Please note that this will set it for all packages in your Python runtime program

    3. Change the keras import: replace import tensorflow.keras as keras or import keras with import tf_keras as keras. Update any tf.keras references to keras.

  • Apple Silicon users: If you previously installed TensorFlow using pip install tensorflow-macos, please update your installation method. Use pip install tensorflow from now on.

  • Mac x86 users: Mac x86 builds are being deprecated and will no longer be released as a Pip package from TF 2.17 onwards.

Known Caveats

  • Full aarch64 Linux and Arm64 macOS wheels are now published to the tensorflow pypi repository and no longer redirect to a separate package.

Major Features and Improvements

  • Support for Python 3.12 has been added.
  • tensorflow-tpu package is now available for easier TPU based installs.
  • TensorFlow pip packages are now built with CUDA 12.3 and cuDNN 8.9.7
  • Added experimental support for float16 auto-mixed precision using the new AMX-FP16 instruction set on X86 CPUs.

Bug Fixes and Other Changes

  • tf.lite
    • Added support for stablehlo.gather.

... (truncated)

Commits
  • 5bc9d26 Merge pull request #63073 from Intel-tensorflow/kanvi/update-release-notes
  • 086d2cc Merge pull request #63127 from rtg0795/r2.16
  • 82cdec2 Update RELEASE.md
  • 563129d Merge pull request #63120 from tensorflow/MarkDaoust-2.16-release-notes
  • 152a11b Merge branch 'r2.16' into MarkDaoust-2.16-release-notes
  • 1196a06 Merge pull request #63121 from tensorflow-jenkins/version-numbers-2.16.1-25649
  • 46faa44 Update release notes for TensorFlow 2.16.1 (#63117)
  • 5fdacf3 Merge pull request #63119 from tensorflow/patch-r2.16-release-notes
  • 887bcc9 Update version numbers to 2.16.1
  • f1b3d80 Fix formatting.
  • 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 this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot
Update tensorflow requirement from <=2.13.1 to <=2.16.1
ff40d2e 
Updates the requirements on [tensorflow](https://github.com/tensorflow/tensorflow) to permit the latest version.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/v2.16.1/RELEASE.md)
- [Commits](tensorflow/tensorflow@tflite-v0.1.7...v2.16.1)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot Dependabot
Copy link
Contributor Author

dependabot bot commented on behalf of github Mar 11, 2024

Dependabot tried to add @glenn-jocher as a reviewer to this PR, but received the following error from GitHub:

POST https://api.github.com/repos/oafish1982/ultralytics_16bit/pulls/4/requested_reviewers: 422 - Reviews may only be requested from collaborators. One or more of the users or teams you specified is not a collaborator of the oafish1982/ultralytics_16bit repository. // See: https://docs.github.com/rest/pulls/review-requests#request-reviewers-for-a-pull-request

@dependabot Dependabot
Copy link
Contributor Author

dependabot bot commented on behalf of github Mar 11, 2024

The following labels could not be found: dependencies.

@dependabot dependabot bot mentioned this pull request Mar 11, 2024
Closed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers
No reviews
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
0 participants