TensorFlow is an open source machine learning framework for everyone.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mihaimaruseac from gravatar.com mihaimaruseac 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 >=3.10
  • Provides-Extra: and-cuda , gcs-filesystem
Classifiers
Report project as malware

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 mihaimaruseac from gravatar.com mihaimaruseac 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 >=3.10
  • Provides-Extra: and-cuda , gcs-filesystem
Classifiers

Release history Release notifications | RSS feed

This version

2.21.0

2.21.0rc1 pre-release

2.21.0rc0 pre-release

2.20.0

2.20.0rc0 pre-release

2.19.1

2.19.0

2.19.0rc0 pre-release

2.18.1

2.18.0

2.18.0rc2 pre-release

2.18.0rc1 pre-release

2.18.0rc0 pre-release

2.17.1

2.17.0

2.17.0rc1 pre-release

2.17.0rc0 pre-release

2.16.2

2.16.1

2.16.0rc0 pre-release

2.15.1

2.15.0.post1

2.15.0

2.15.0rc1 pre-release

2.15.0rc0 pre-release

2.14.1

2.14.0

2.14.0rc1 pre-release

2.14.0rc0 pre-release

2.13.1

2.13.0

2.13.0rc2 pre-release

2.13.0rc1 pre-release

2.13.0rc0 pre-release

2.12.1

2.12.0

2.12.0rc1 pre-release

2.12.0rc0 pre-release

2.11.1

2.11.0

2.11.0rc2 pre-release

2.11.0rc1 pre-release

2.11.0rc0 pre-release

2.10.1

2.10.0

2.10.0rc3 pre-release

2.10.0rc2 pre-release

2.10.0rc1 pre-release

2.10.0rc0 pre-release

2.9.3

2.9.2

2.9.1

2.9.0

2.9.0rc2 pre-release

2.9.0rc1 pre-release

2.9.0rc0 pre-release

2.8.4

2.8.3

2.8.2

2.8.1

2.8.0

2.8.0rc1 pre-release

2.8.0rc0 pre-release

2.7.4

2.7.3

2.7.2

2.7.1

2.7.0

2.7.0rc1 pre-release

2.7.0rc0 pre-release

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.6.0rc2 pre-release

2.6.0rc1 pre-release

2.6.0rc0 pre-release

2.5.3

2.5.2

2.5.1

2.5.0

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.3

2.2.2

2.2.1

2.2.0

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.15.5

1.15.4

1.15.3

1.15.2

1.15.0

1.14.0

1.13.2

1.13.1

1.12.3

1.12.2

1.12.0

1.11.0

1.10.1

1.10.0

1.9.0

1.8.0

1.7.1

1.7.0

1.6.0

1.5.1

1.5.0

1.4.1

1.4.0

1.3.0

1.2.1

1.2.0

1.1.0

1.0.1

1.0.0

0.12.1

0.12.0

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

If you're not sure about the file name format, learn more about wheel file names.

tensorflow-2.21.0-cp313-cp313-win_amd64.whl (351.2 MB view details)

Uploaded CPython 3.13Windows x86-64

tensorflow-2.21.0-cp313-cp313-manylinux_2_27_x86_64.whl (572.9 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

tensorflow-2.21.0-cp313-cp313-manylinux_2_27_aarch64.whl (282.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ ARM64

tensorflow-2.21.0-cp313-cp313-macosx_12_0_arm64.whl (223.8 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tensorflow-2.21.0-cp312-cp312-win_amd64.whl (350.9 MB view details)

Uploaded CPython 3.12Windows x86-64

tensorflow-2.21.0-cp312-cp312-manylinux_2_27_x86_64.whl (572.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

tensorflow-2.21.0-cp312-cp312-manylinux_2_27_aarch64.whl (281.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ ARM64

tensorflow-2.21.0-cp312-cp312-macosx_12_0_arm64.whl (223.5 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tensorflow-2.21.0-cp311-cp311-win_amd64.whl (350.8 MB view details)

Uploaded CPython 3.11Windows x86-64

tensorflow-2.21.0-cp311-cp311-manylinux_2_27_x86_64.whl (572.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

tensorflow-2.21.0-cp311-cp311-manylinux_2_27_aarch64.whl (281.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ ARM64

tensorflow-2.21.0-cp311-cp311-macosx_12_0_arm64.whl (223.4 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tensorflow-2.21.0-cp310-cp310-win_amd64.whl (350.6 MB view details)

Uploaded CPython 3.10Windows x86-64

tensorflow-2.21.0-cp310-cp310-manylinux_2_27_x86_64.whl (572.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

tensorflow-2.21.0-cp310-cp310-manylinux_2_27_aarch64.whl (281.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ ARM64

tensorflow-2.21.0-cp310-cp310-macosx_12_0_arm64.whl (223.2 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

File details

Details for the file tensorflow-2.21.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 76cccbe0a95d9392dee1ae501ae0656b6c73c1cac29a7f8f32d570e0670863f7
MD5 a59c1d8913d00f21eeac72a366573fab
BLAKE2b-256 8691dedad8403e7b0036d99be4878987693b7b7f62097eb8537fa6ce62ea131c

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 e9d8da8dcab9650efb45f032ba70af2f016f907e6e0c6bda29dd101bba945406
MD5 df616dc49c64371dc0b69516c5936bbe
BLAKE2b-256 866c10d075ffc09754c7f10e749ba3c9d46dd809fb007990c7f788128044180c

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp313-cp313-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp313-cp313-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 a10abdfb8b1189210c251021a3f153b7ccc52a8e6521351f3dc3331e8ba593e0
MD5 219e717a12d376c4c56ad7863ffff1d0
BLAKE2b-256 7272343b86b4c9bfe28e81f749439f908c1e26aeac73d9f12b8dcdb996eb8ecb

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 a145ed46c58192b7c3f9916d070caf4f6afc6dc7e5511f83dd97677f4c4947f4
MD5 5c16f2a5da382ed56295493419e53cdb
BLAKE2b-256 4009268b45a61be2bce136dabf3a3cd7099c8a984ae398198f71920b4c60c502

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 27ba0682572b1e50a0db1ee74cfb787eafcfdb1b751bbbf401fed62fe32a92e0
MD5 c0379f0bbdeb867c6c70dd03f81963a7
BLAKE2b-256 7d0d4ee4bc074597b41c9c00dc97b4418ef1eb8736fe9186ffdb3961efdfb730

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 b3b95643c4e70eb925839938fb35cbe142f317ec84af6844ee61513713bb13c0
MD5 d5165bdb8bed7507b6ef269af44f417a
BLAKE2b-256 ced76e71b4ded8ce99cd21add95611ca14af6e9ad4f2baeabdeb79a4a6b3cb1f

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp312-cp312-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp312-cp312-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 b07d15737406533898e36c7ef7944b1be18e9028dc521b9229952c537bbc5552
MD5 4d301222cea7237265c6e6ea1513b917
BLAKE2b-256 20a5f139fbbd4e81a2e556170718698acf518a71a84927fa1dc1f5935b6ab3d2

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 56ecd7d47429acbe1df2694d50b75bf9fc3995ac92cb367cd9af6c4780ead712
MD5 31e57954ae22a55fef340b92f4278584
BLAKE2b-256 395927adba20bbd1088b00fc0e9232aa21493b4800af2299eb6005017a6053f4

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0064a19bdc054a4b7c5e7e21cdf50ce38a114c2bada578b4f5267a37410f6784
MD5 9cfd4683bb20f6126e50404431d12889
BLAKE2b-256 8fa26d7e6a738e302530586d484895de2cf3fc158ad9c73b4504a670b2956dd9

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 9056fbc9ba04235810b71ae6cbd958a196e8804fb53bbcffbf3e23b56155f124
MD5 9b216dc27c95392ac1a34f02df647187
BLAKE2b-256 26a123b9b39c046c723db63a1c2c93397703efa3400a36f98d9c717b473aafb8

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp311-cp311-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp311-cp311-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 4b24aca16d527a3cf1c37f720c04c484c3d20f4d0fdfa98632ac8b9f3be6eb5c
MD5 e280ee38999f714997dd400103abdaee
BLAKE2b-256 9c7c57b7ee953b40d5d837136d20af6851b20ea6ca63753fc05699e8bcfab6d5

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 51f46f4806139d01fc7920cc72a4c75876f80649bf40ff083ab6212ceb43ca88
MD5 51deeb7762502d54dae9818dd208022c
BLAKE2b-256 ec76b649b02a243c09f0348199dbd81408c1558cfbec2b6d77d820c428a95254

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8ee4d30fca0249c441bf65e63994df848dc63c80730bd494a9aa9ce5e3f0dee5
MD5 d028d097dae67b64bdff17334ff66cb8
BLAKE2b-256 51b8a5aba377db57aa08684816cd31a04291c750cde8fa30414ad0918ca47624

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 77c6f298e695ea1d283cdd7d30f8d97530cc6e92c1395a9ddbab9771c99233a4
MD5 9dc0a4abfd5c433737b209f0a5d07713
BLAKE2b-256 c9b7df85669b3a862bc7704de206cc52801302c0441c67c3f382d621f173c93f

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp310-cp310-manylinux_2_27_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp310-cp310-manylinux_2_27_aarch64.whl
Algorithm Hash digest
SHA256 7c97938b25cf70c80ae8619931f85abcdee2ab2eb256c2051202edb3b89e9a5d
MD5 214da7b5907420ec35d1f84732bb9401
BLAKE2b-256 adbc94ab362f9309d41997d504f440c8ce3282fd0879a60b6b5fedf2605c05c7

See more details on using hashes here.

File details

Details for the file tensorflow-2.21.0-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.21.0-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 6462632889e0e9ce1455b208c87b86a8c154e899407ef7d426ef1ec71647f565
MD5 9e29d34c48d28f1d888acef3a8cc5bef
BLAKE2b-256 9e3114a78add50edf9b171d0edad1d50afe1672cdaa8b9b60d30716307b4f188

See more details on using hashes here.

Supported by

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