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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.

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Release files for tf-nightly 2.23.0.dev20261002

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Table of built distributions (wheels) for tf-nightly 2.23.0.dev20261002
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tf_nightly-2.23.0.dev20261002-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
tf_nightly-2.23.0.dev20261002-cp314-cp314-manylinux_2_27_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.27+ x86-64 Details
tf_nightly-2.23.0.dev20261002-cp314-cp314-manylinux_2_27_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.27+ ARM64 Details
tf_nightly-2.23.0.dev20261002-cp314-cp314-macosx_12_0_arm64.whl CPython 3.14 CPython 3.14 macOS 12.0+ ARM64 Details
tf_nightly-2.23.0.dev20261002-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
tf_nightly-2.23.0.dev20261002-cp313-cp313-manylinux_2_27_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ x86-64 Details
tf_nightly-2.23.0.dev20261002-cp313-cp313-manylinux_2_27_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ ARM64 Details
tf_nightly-2.23.0.dev20261002-cp313-cp313-macosx_12_0_arm64.whl CPython 3.13 CPython 3.13 macOS 12.0+ ARM64 Details
tf_nightly-2.23.0.dev20261002-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
tf_nightly-2.23.0.dev20261002-cp312-cp312-manylinux_2_27_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ x86-64 Details
tf_nightly-2.23.0.dev20261002-cp312-cp312-manylinux_2_27_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ ARM64 Details
tf_nightly-2.23.0.dev20261002-cp312-cp312-macosx_12_0_arm64.whl CPython 3.12 CPython 3.12 macOS 12.0+ ARM64 Details
tf_nightly-2.23.0.dev20261002-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
tf_nightly-2.23.0.dev20261002-cp311-cp311-manylinux_2_27_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ x86-64 Details
tf_nightly-2.23.0.dev20261002-cp311-cp311-manylinux_2_27_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ ARM64 Details
tf_nightly-2.23.0.dev20261002-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details

Total release size: 6.2 GB

Release files / tf_nightly-2.23.0.dev20261002-cp314-cp314-win_amd64.whl

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Release files / tf_nightly-2.23.0.dev20261002-cp313-cp313-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.23.0.dev20261002-cp313-cp313-manylinux_2_27_x86_64.whl
Size 640.0 MB
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Release files / tf_nightly-2.23.0.dev20261002-cp313-cp313-macosx_12_0_arm64.whl

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Size 240.5 MB
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Release files / tf_nightly-2.23.0.dev20261002-cp312-cp312-win_amd64.whl

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Size 376.9 MB
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Release files / tf_nightly-2.23.0.dev20261002-cp312-cp312-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.23.0.dev20261002-cp312-cp312-manylinux_2_27_x86_64.whl
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Release files / tf_nightly-2.23.0.dev20261002-cp312-cp312-manylinux_2_27_aarch64.whl

Download URL tf_nightly-2.23.0.dev20261002-cp312-cp312-manylinux_2_27_aarch64.whl
Size 302.1 MB
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Release files / tf_nightly-2.23.0.dev20261002-cp312-cp312-macosx_12_0_arm64.whl

Download URL tf_nightly-2.23.0.dev20261002-cp312-cp312-macosx_12_0_arm64.whl
Size 240.3 MB
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Release files / tf_nightly-2.23.0.dev20261002-cp311-cp311-win_amd64.whl

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Size 376.9 MB
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Release files / tf_nightly-2.23.0.dev20261002-cp311-cp311-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.23.0.dev20261002-cp311-cp311-manylinux_2_27_x86_64.whl
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Release files / tf_nightly-2.23.0.dev20261002-cp311-cp311-manylinux_2_27_aarch64.whl

Download URL tf_nightly-2.23.0.dev20261002-cp311-cp311-manylinux_2_27_aarch64.whl
Size 302.0 MB
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Release files / tf_nightly-2.23.0.dev20261002-cp311-cp311-macosx_12_0_arm64.whl

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