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donkirkby / zero-play

Teach a computer to play any game.
https://donkirkby.github.io/zero-play/
MIT License
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Bump tensorflow from 2.15.0.post1 to 2.16.2 #255

Closed dependabot[bot] closed 4 months ago

dependabot[bot] commented 4 months ago

Bumps tensorflow from 2.15.0.post1 to 2.16.2.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.16.2

Release 2.16.2

Bug Fixes and Other Changes

  • Fixed: Incorrect dependency metadata in TensorFlow Python packages causing installation failures with certain package managers such as Poetry.

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

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.16.2

Bug Fixes and Other Changes

  • Fixed: Incorrect dependency metadata in TensorFlow Python packages causing installation failures with certain package managers such as Poetry.

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.

... (truncated)

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dependabot[bot] commented 4 months ago

Superseded by #262.