Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Python PyPI

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 2.13.0.dev20230405

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 2.13.0.dev20230405
File
tf_nightly_macos-2.13.0.dev20230405-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details
tf_nightly_macos-2.13.0.dev20230405-cp310-cp310-macosx_12_0_arm64.whl CPython 3.10 CPython 3.10 macOS 12.0+ ARM64 Details
tf_nightly_macos-2.13.0.dev20230405-cp39-cp39-macosx_12_0_arm64.whl CPython 3.9 CPython 3.9 macOS 12.0+ ARM64 Details
tf_nightly_macos-2.13.0.dev20230405-cp38-cp38-macosx_12_0_arm64.whl CPython 3.8 CPython 3.8 macOS 12.0+ ARM64 Details

Total release size: 744.0 MB

Release files / tf_nightly_macos-2.13.0.dev20230405-cp311-cp311-macosx_12_0_arm64.whl

Download URL tf_nightly_macos-2.13.0.dev20230405-cp311-cp311-macosx_12_0_arm64.whl
Size 186.1 MB
Tags CPython 3.11 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
e0a280a8ac6e86f4b18e31ddccf0612d5b325f4ca9e1663a41baa1fb490cbcba
BLAKE2b-256 checksum
How to use checksums
5f970e090a54ebc1b6ab3681ee675d6724c69202274e4e9247184e322a26a1cc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.10

Release files / tf_nightly_macos-2.13.0.dev20230405-cp310-cp310-macosx_12_0_arm64.whl

Download URL tf_nightly_macos-2.13.0.dev20230405-cp310-cp310-macosx_12_0_arm64.whl
Size 186.0 MB
Tags CPython 3.10 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
926a2636c3340e603ed9b8848e491c0d4385c53fad9ac27ea2287e70a1313c63
BLAKE2b-256 checksum
How to use checksums
5b972c8f6de87c40ce45728d04e1374f689350779fc5fd4ea43b73abeeb0863d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.10

Release files / tf_nightly_macos-2.13.0.dev20230405-cp39-cp39-macosx_12_0_arm64.whl

Download URL tf_nightly_macos-2.13.0.dev20230405-cp39-cp39-macosx_12_0_arm64.whl
Size 186.0 MB
Tags CPython 3.9 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
e1711093d1ac40438dac07e6909640904fb01a0da55d07fea172b8c100915231
BLAKE2b-256 checksum
How to use checksums
11c855e60024faef6be84807aa50ea6115a3febc198b38a550ef46f5c7eda773
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.10

Release files / tf_nightly_macos-2.13.0.dev20230405-cp38-cp38-macosx_12_0_arm64.whl

Download URL tf_nightly_macos-2.13.0.dev20230405-cp38-cp38-macosx_12_0_arm64.whl
Size 186.0 MB
Tags CPython 3.8 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
c68e2390d0956c1eafe7b24a833b422f123162e2f33d91b468cf7f7e858f72de
BLAKE2b-256 checksum
How to use checksums
7d1405bfb06e548ce6903d8d21f0d22920b2cbc2257b8c8b9f9213b5e5e3ab8b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.10

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page