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Bump org.tensorflow:tensorflow-lite from 2.11.0 to 2.16.1
Bumps org.tensorflow:tensorflow-lite from 2.11.0 to 2.16.1.
Release notes
Sourced from org.tensorflow:tensorflow-lite'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_onnow takes aprofiler_outdirargument. This must be set ifprofilerarg is set toTrue.
tf.summary.trace_export'sprofiler_outdirarg is now a no-op. Enabling the profiler now requires settingprofiler_outdirintrace_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.
Install
tf-kerasviapip install tf-keras~=2.16To switch
tf.kerasto use Keras 2 (tf-keras), set the environment variableTF_USE_LEGACY_KERAS=1directly or in your python program withimport os;os.environ["TF_USE_LEGACY_KERAS"]="1". Please note that this will set it for all packages in your Python runtime programChange the keras import: replace
import tensorflow.keras as kerasorimport keraswithimport tf_keras as keras. Update anytf.kerasreferences tokeras.Apple Silicon users: If you previously installed TensorFlow using
pip install tensorflow-macos, please update your installation method. Usepip install tensorflowfrom 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
tensorflowpypi 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 org.tensorflow:tensorflow-lite'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_onnow takes aprofiler_outdirargument. This must be set ifprofilerarg is set toTrue.
tf.summary.trace_export'sprofiler_outdirarg is now a no-op. Enabling the profiler now requires settingprofiler_outdirintrace_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.
Install
tf-kerasviapip install tf-keras~=2.16To switch
tf.kerasto use Keras 2 (tf-keras), set the environment variableTF_USE_LEGACY_KERAS=1directly or in your python program withimport os;os.environ["TF_USE_LEGACY_KERAS"]="1". Please note that this will set it for all packages in your Python runtime programChange the keras import: replace
import tensorflow.keras as kerasorimport keraswithimport tf_keras as keras. Update anytf.kerasreferences tokeras.Apple Silicon users: If you previously installed TensorFlow using
pip install tensorflow-macos, please update your installation method. Usepip install tensorflowfrom 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
tensorflowpypi 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
5bc9d26Merge pull request #63073 from Intel-tensorflow/kanvi/update-release-notes086d2ccMerge pull request #63127 from rtg0795/r2.1682cdec2Update RELEASE.md563129dMerge pull request #63120 from tensorflow/MarkDaoust-2.16-release-notes152a11bMerge branch 'r2.16' into MarkDaoust-2.16-release-notes1196a06Merge pull request #63121 from tensorflow-jenkins/version-numbers-2.16.1-2564946faa44Update release notes for TensorFlow 2.16.1 (#63117)5fdacf3Merge pull request #63119 from tensorflow/patch-r2.16-release-notes887bcc9Update version numbers to 2.16.1f1b3d80Fix formatting.- Additional commits viewable in compare view
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Diffuse output:
OLD: paymentsheet-example-release-master.apk (signature: V1, V2)
NEW: paymentsheet-example-release-pr.apk (signature: V1, V2)
│ compressed │ uncompressed
├───────────┬───────────┬──────┼───────────┬───────────┬──────
APK │ old │ new │ diff │ old │ new │ diff
──────────┼───────────┼───────────┼──────┼───────────┼───────────┼──────
dex │ 3.9 MiB │ 3.9 MiB │ 0 B │ 8.5 MiB │ 8.5 MiB │ 0 B
arsc │ 2.2 MiB │ 2.2 MiB │ 0 B │ 2.2 MiB │ 2.2 MiB │ 0 B
manifest │ 5 KiB │ 5 KiB │ 0 B │ 24.9 KiB │ 24.9 KiB │ 0 B
res │ 907.5 KiB │ 907.5 KiB │ 0 B │ 1.4 MiB │ 1.4 MiB │ 0 B
native │ 2.6 MiB │ 2.6 MiB │ 0 B │ 6 MiB │ 6 MiB │ 0 B
asset │ 3 MiB │ 3 MiB │ 0 B │ 3 MiB │ 3 MiB │ 0 B
other │ 203.7 KiB │ 203.7 KiB │ +1 B │ 444.2 KiB │ 444.2 KiB │ 0 B
──────────┼───────────┼───────────┼──────┼───────────┼───────────┼──────
total │ 12.8 MiB │ 12.8 MiB │ +1 B │ 21.7 MiB │ 21.7 MiB │ 0 B
DEX │ old │ new │ diff
─────────┼───────┼───────┼───────────
files │ 1 │ 1 │ 0
strings │ 42650 │ 42650 │ 0 (+0 -0)
types │ 14496 │ 14496 │ 0 (+0 -0)
classes │ 12220 │ 12220 │ 0 (+0 -0)
methods │ 60413 │ 60413 │ 0 (+0 -0)
fields │ 40059 │ 40059 │ 0 (+0 -0)
ARSC │ old │ new │ diff
─────────┼──────┼──────┼──────
configs │ 242 │ 242 │ 0
entries │ 6027 │ 6027 │ 0
APK
compressed │ uncompressed │
──────────┬──────┼───────────┬──────┤
size │ diff │ size │ diff │ path
──────────┼──────┼───────────┼──────┼────────────────────────
61.8 KiB │ +4 B │ 139.4 KiB │ 0 B │ ∆ META-INF/CERT.SF
53 KiB │ -2 B │ 139.3 KiB │ 0 B │ ∆ META-INF/MANIFEST.MF
1.2 KiB │ -1 B │ 1.2 KiB │ 0 B │ ∆ META-INF/CERT.RSA
──────────┼──────┼───────────┼──────┼────────────────────────
116 KiB │ +1 B │ 279.9 KiB │ 0 B │ (total)
OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.
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