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TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. TensorFlow is licensed under Apache 2.0.

Release files for tf-nightly-macos 2.15.0.dev20230828

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for tf-nightly-macos 2.15.0.dev20230828
File Interpreter ABI Platform
tf_nightly_macos-2.15.0.dev20230828-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details
tf_nightly_macos-2.15.0.dev20230828-cp310-cp310-macosx_12_0_arm64.whl CPython 3.10 CPython 3.10 macOS 12.0+ ARM64 Details
tf_nightly_macos-2.15.0.dev20230828-cp39-cp39-macosx_12_0_arm64.whl CPython 3.9 CPython 3.9 macOS 12.0+ ARM64 Details

Total release size: 605.6 MB

Release files / tf_nightly_macos-2.15.0.dev20230828-cp311-cp311-macosx_12_0_arm64.whl

Download URL tf_nightly_macos-2.15.0.dev20230828-cp311-cp311-macosx_12_0_arm64.whl
Size 201.9 MB
Tags CPython 3.11 macOS 12.0+ ARM64
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8a787a9aa3349677f9924bd559ce3c7e28996d6682601cf0fd13c57d71df0f8f
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Uploaded via twine/4.0.2 CPython/3.10.10

Release files / tf_nightly_macos-2.15.0.dev20230828-cp310-cp310-macosx_12_0_arm64.whl

Download URL tf_nightly_macos-2.15.0.dev20230828-cp310-cp310-macosx_12_0_arm64.whl
Size 201.8 MB
Tags CPython 3.10 macOS 12.0+ ARM64
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Release files / tf_nightly_macos-2.15.0.dev20230828-cp39-cp39-macosx_12_0_arm64.whl

Download URL tf_nightly_macos-2.15.0.dev20230828-cp39-cp39-macosx_12_0_arm64.whl
Size 201.8 MB
Tags CPython 3.9 macOS 12.0+ ARM64
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Uploaded via twine/4.0.2 CPython/3.10.10

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