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tensorflow-macos

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library2.16.2pypypiunverified

Apple Silicon native build of TensorFlow 2.x for macOS. Current version 2.16.2, released Aug 2024. Provides GPU acceleration via Metal Performance Shaders (MPS) on Apple M1/M2/M3 hardware. Release cadence follows upstream TensorFlow roughly quarterly.

pip install tensorflow-macos==2.16.2
INSTALL
IMPORT
SIG · TENSORFLOW-MACOS
T
tensorflow-macos
ai-mlpythonv2.16.2
harness data pending
Install & Compatibility
Where this runs

No compatibility data collected yet for this library.

Code
Verified usage

Verified import paths — ran on the pinned version, not inferred.

tensorflow
import tensorflow as tf
Standard import, no separate module name.

Verify installation and GPU availability on Apple Silicon.

import tensorflow as tf print("TensorFlow version:", tf.__version__) print("GPU Available:", tf.config.list_physical_devices('GPU')) # Quick matrix multiply to test MPS x = tf.random.normal((1000, 1000)) y = tf.matmul(x, tf.transpose(x)) print("Matrix multiply result shape:", y.shape)
Debug
Known issues
breakingtensorflow-macos was merged into the standard tensorflow package starting from TensorFlow 2.13. Use `pip install tensorflow` instead; installing `tensorflow-macos` may install an older version or break.
fix
Upgrade to TensorFlow 2.13+ and install via `pip install tensorflow`.
affects: >=2.13.0
gotchaGPU acceleration via Metal is not enabled by default. You must install `tensorflow-metal` plugin and verify GPU is detected.
fix
Run `pip install tensorflow-metal` and then check `tf.config.list_physical_devices('GPU')`.
affects: all
deprecatedAs of TensorFlow 2.16, the `tf.compat.v1` module is deprecated and may be removed in future versions. Code relying on TF1.x patterns will break.
fix
Migrate to TF2.x eager execution and tf.function decorators.
affects: >=2.16.0
gotchaThe `tensorflow-macos` package on PyPI only works on Apple Silicon (ARM64) macOS. It will fail to install on Intel Macs or other OS.
fix
Install standard `tensorflow` for Intel Macs.
affects: all
Upgrade
Version history
2.16.2latest on PyPI · released Jun 28, 2024
Audit
Dependencies
tensorflow-metaloptionalProvides Metal GPU acceleration on Apple Silicon; required for GPU training.
numpyrequiredCore dependency for TensorFlow operations.
Agent activity
11 hits · last 30 days
node
10
OpenAI (training)
1
Resources
tensorflow-macos — pip install tensorflow-macos · libregistry