TensorFlow is an open source machine learning framework for everyone.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mhudgins from gravatar.com mhudgins Avatar for mihaimaruseac from gravatar.com mihaimaruseac Avatar for rishikasinha from gravatar.com rishikasinha Avatar for rostam from gravatar.com rostam Avatar for tf-nightly from gravatar.com tf-nightly

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: Google Inc.
  • Tags tensorflow, tensor, machine, learning
  • Requires: Python >=3.9
  • Provides-Extra: and-cuda
Classifiers

Project description

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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mhudgins from gravatar.com mhudgins Avatar for mihaimaruseac from gravatar.com mihaimaruseac Avatar for rishikasinha from gravatar.com rishikasinha Avatar for rostam from gravatar.com rostam Avatar for tf-nightly from gravatar.com tf-nightly

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: Google Inc.
  • Tags tensorflow, tensor, machine, learning
  • Requires: Python >=3.9
  • Provides-Extra: and-cuda
Classifiers

Release history Release notifications | RSS feed

2.19.0.dev20241122 pre-release

2.19.0.dev20241121 pre-release

2.19.0.dev20241119 pre-release

2.19.0.dev20241117 pre-release

This version

2.19.0.dev20241116 pre-release

2.19.0.dev20241115 pre-release

2.19.0.dev20241114 pre-release

2.19.0.dev20241113 pre-release

2.19.0.dev20241112 pre-release

2.19.0.dev20241111 pre-release

2.19.0.dev20241110 pre-release

2.19.0.dev20241109 pre-release

2.19.0.dev20241108 pre-release

2.19.0.dev20241107 pre-release

2.19.0.dev20241106 pre-release

2.19.0.dev20241105 pre-release

2.19.0.dev20241104 pre-release

2.19.0.dev20241103 pre-release

2.19.0.dev20241101 pre-release

2.19.0.dev20241029 pre-release

2.19.0.dev20241026 pre-release

2.19.0.dev20241025 pre-release

2.19.0.dev20241024 pre-release

2.19.0.dev20241023 pre-release

2.19.0.dev20241021 pre-release

2.19.0.dev20241020 pre-release

2.19.0.dev20241019 pre-release

2.19.0.dev20241018 pre-release

2.19.0.dev20241017 pre-release

2.19.0.dev20241016 pre-release

2.19.0.dev20241015 pre-release

2.19.0.dev20241014 pre-release

2.19.0.dev20241013 pre-release

2.19.0.dev20241012 pre-release

2.19.0.dev20241007 pre-release

2.19.0.dev20241003 pre-release

2.19.0.dev20241002 pre-release

2.19.0.dev20241001 pre-release

2.19.0.dev20240929 pre-release

2.19.0.dev20240927 pre-release

2.18.0.dev20240925 pre-release

2.18.0.dev20240924 pre-release

2.18.0.dev20240923 pre-release

2.18.0.dev20240922 pre-release

2.18.0.dev20240920 pre-release

2.18.0.dev20240919 pre-release

2.18.0.dev20240917 pre-release

2.18.0.dev20240916 pre-release

2.18.0.dev20240915 pre-release

2.18.0.dev20240910 pre-release

2.18.0.dev20240909 pre-release

2.18.0.dev20240908 pre-release

2.18.0.dev20240907 pre-release

2.18.0.dev20240906 pre-release

2.18.0.dev20240905 pre-release

2.18.0.dev20240904 pre-release

2.18.0.dev20240828 pre-release

2.18.0.dev20240827 pre-release

2.18.0.dev20240826 pre-release

2.18.0.dev20240825 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tf_nightly-2.19.0.dev20241116-cp312-cp312-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly-2.19.0.dev20241116-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (631.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly-2.19.0.dev20241116-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (239.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

tf_nightly-2.19.0.dev20241116-cp312-cp312-macosx_12_0_arm64.whl (249.8 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tf_nightly-2.19.0.dev20241116-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly-2.19.0.dev20241116-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (631.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly-2.19.0.dev20241116-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (239.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

tf_nightly-2.19.0.dev20241116-cp311-cp311-macosx_12_0_arm64.whl (249.8 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tf_nightly-2.19.0.dev20241116-cp310-cp310-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly-2.19.0.dev20241116-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (631.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly-2.19.0.dev20241116-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (239.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

tf_nightly-2.19.0.dev20241116-cp310-cp310-macosx_12_0_arm64.whl (249.7 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tf_nightly-2.19.0.dev20241116-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly-2.19.0.dev20241116-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (631.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tf_nightly-2.19.0.dev20241116-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (239.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

tf_nightly-2.19.0.dev20241116-cp39-cp39-macosx_12_0_arm64.whl (249.7 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 ca0a8561f4a1efd0b6bc060f963c9c16a955057cfeff4f237e44ccc8ebe6e7fb
MD5 6b950a982b67dd40abe5ecb4248b7ffd
BLAKE2b-256 702bd804d72baad6a90397f2aa84770171b9a88994fbaf4d7cc8e2c320f8bfd8

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bcafc3130bb9bea63d16128c15d03169e33b6c39299668ad0dc794fdfec0e575
MD5 2c7c4b8c7c83c13691ccfd8970fec213
BLAKE2b-256 ecac2b9cf33a1613ed478d7805b63a52102c2c320eab3574a120d4fc7a91d269

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 43dcb72924f4d90af5622dfe7917ac011d135c4c895c37be2dac0cf92f7acaa8
MD5 03f3177bd5277c54548a65ce8191f219
BLAKE2b-256 6174a4b7c1612d891a51c539d6de3c91aa8418600a813cf50b1bdfff34a3ce37

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 b1e5f0cf67bdaad1af0b06ccbb7b3d72f898d0b04ba72beb8dfc8d2169bf77d0
MD5 d1a38a7779a3e816d81f11f44ed69257
BLAKE2b-256 e4ec88cd1b50fd43d12947a9c9711ae8806e86de35074376f884882016118bef

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 af41f4cf1779e7921980f0aaecd8e525ff0a3e307cc2c0a5bdbeb81ee5629cfa
MD5 524013b461bbf8b5f6ecfb3e6009f94c
BLAKE2b-256 70bd41565e41334fdb0ea9bc705f3bebd96e37ccb9cdb0c7b9aba137e76d4eb6

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c319aba065fc113e92ea2f4cbf056dbb784c14377360ae04a4f7f8f63cd4b7e8
MD5 1bb04970da2d8f54bb34902acca5ad38
BLAKE2b-256 6fc55eff5b79eaa48c49479741122c08d23b2180d26da8c60fcd8c3bc53192b6

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e0bb95cea48549eed1d5dca5a0c51a8994a4324dc84d14b0003201dcea1cc7ed
MD5 537644ebf91c5cf6b5dda3835795f506
BLAKE2b-256 019642c04dbfb7bb8ec53092b60a8f0c47f6ec91b1d031299ed69528adad7030

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 757ef403807d85d5f5dfe495bcba6f8029b853d61019cc3ff83bd6ef3a355336
MD5 8d8c99d6dd001524ac64e6329303233c
BLAKE2b-256 38e99782d30efb0743bc8334644cb997bc6554b39118ca745ddf70732e81e9f9

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 286a486f0b4de839d9f3a5b3c365f8fa02a51e701f153f4270b093bacd5b5c28
MD5 1593bc2186d0ac2e3c898fb4d6e87c9e
BLAKE2b-256 51bf952275f48a5b53ea974466fed969f24a83370f883d64c942f007579b8437

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7e17b6abf57320bc363354904ff28c3e5934149b9d87a9d5653927695e8dc81a
MD5 90aa759bfbe0b21afb5c0d2c68883e5d
BLAKE2b-256 9aadf3a4693df3ad28afb5d511de495362c46651fcdb698194986c8fa9c6d80e

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c8dd203d44bc33a8bbbd1bec60fcbbcbf29e94ccff0a0009fb0a4a370ab58034
MD5 edd1dbea322609c813a66910e06317ea
BLAKE2b-256 f87d6ac87b93f22e3dfcfcd2d85081cb0feac072491fc8a193bb7fee3fc94b53

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 a8f571c4529e8156bf940a038bbeef044f7d56b99d6713a163ec0f26ce22e351
MD5 4aa6fa3b6e0812c001e5cee9c9a667db
BLAKE2b-256 1ce6f34367c7e4f1517576357a49f36f96c820586084622d69eef879714b5472

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 856f96f2e30858366f50d99f7e995fa12cc28e31f1bda071b8f192a97a945b95
MD5 50f5130f2eb8e7c1b0892480ff03b49c
BLAKE2b-256 cea2817783835fd2272825f568ce1cec27e409b91415ec3cfe7f8d90bac7b4a4

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e7d6684e009dbf43b197a4205049da781b30eeb2d519e861957ab39ad68f95f4
MD5 739c2c67c4bd11ba3912baa9f0d48b13
BLAKE2b-256 a006e866b0303132826682c6ca83a4d22e24e154d9de44157160d2be356cad0b

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 97cee0d8312e4d48067cceae06c14412ac88161e3031d89039d7d012dec10e5d
MD5 2724966f6d07427a3569dbcb6e0c7d4f
BLAKE2b-256 98a2f2898237a151f0e8afbad5ce527ce921f9df02ada2432147312c568949d0

See more details on using hashes here.

File details

Details for the file tf_nightly-2.19.0.dev20241116-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.19.0.dev20241116-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 bcf756ef3163f701f6030c64ac8412c30fb33083dffc996d9c71dfc86260ac48
MD5 ad33c4a1052a422c9e4dd3ddbc647542
BLAKE2b-256 c1a8b5963c893cc54d849f1ad85a27921b4ac133aabd45e242f7bb3e369e2178

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page