Update tensorflow requirement from <=2.16.1 to <=2.16.2

[dependabot]

Updates the requirements on tensorflow to permit the latest version.

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.

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)

Commits

• 810f233 Merge pull request #70357 from tensorflow/r2.16-b24db0b2a85
• eeee7f8 Add back xla/stream_executor:cuda_platform to tf_additional_binary_deps.
• 42cbd16 Merge pull request #69911 from tensorflow/patch-r2.16-installer-wheels-poetry
• 03e24a1 Fix references to deprecated installer wheels in V2 setup.py
• 25a99db Merge pull request #69484 from tensorflow-jenkins/version-numbers-2.16.2-4011
• 038cfb0 Merge pull request #69740 from tensorflow/rtg0795-patch-1
• 19ac7bf Update v2/setup.py
• dd18d13 Merge pull request #69726 from tensorflow/r2.16-264dce9fb38
• e83b403 Remove CMake from requirements now that dm-tree has 3.12 wheels.
• 5f69a22 Merge pull request #69643 from tensorflow/rtg0795-patch-1
• Additional commits viewable in compare view

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🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Minor update to TensorFlow dependency version to fix a bug.

📊 Key Changes

• Updated TensorFlow version from <=2.16.1 to <=2.16.2 in pyproject.toml.

🎯 Purpose & Impact

• Purpose: Address a known bug issue with TensorFlow, ensuring smoother and more reliable model exports.
• Impact: Users will experience fewer bugs and improved stability when exporting models to TensorFlow. 🚀