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
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.

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
Classifiers

Release history Release notifications | RSS feed

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

This version

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

tensorflow-2.4.3-cp38-cp38-win_amd64.whl (370.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

tensorflow-2.4.3-cp38-cp38-manylinux2010_x86_64.whl (394.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tensorflow-2.4.3-cp38-cp38-macosx_10_11_x86_64.whl (174.2 MB view details)

Uploaded CPython 3.8 macOS 10.11+ x86-64

tensorflow-2.4.3-cp37-cp37m-win_amd64.whl (370.9 MB view details)

Uploaded CPython 3.7m Windows x86-64

tensorflow-2.4.3-cp37-cp37m-manylinux2010_x86_64.whl (394.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

tensorflow-2.4.3-cp37-cp37m-macosx_10_11_x86_64.whl (174.2 MB view details)

Uploaded CPython 3.7m macOS 10.11+ x86-64

tensorflow-2.4.3-cp36-cp36m-win_amd64.whl (370.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

tensorflow-2.4.3-cp36-cp36m-manylinux2010_x86_64.whl (394.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

tensorflow-2.4.3-cp36-cp36m-macosx_10_11_x86_64.whl (174.1 MB view details)

Uploaded CPython 3.6m macOS 10.11+ x86-64

File details

Details for the file tensorflow-2.4.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 370.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 fa52caf2eba757a387faa005d7ae7539170f3de475ad71a0308fcea4c73f7b95
MD5 aa976699b08dd48d719e043d719ce698
BLAKE2b-256 1862de13098d582ef199a3821e0a391ed25a69cd57ef0dcd4c4e1b0ead91ea4e

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 394.6 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6cf18e0e00f6cacb5b15af93d4d2ab6dbe913f50046793caf0d70d583a1a3cac
MD5 e8480359d09c94a84dfa675147e70a3e
BLAKE2b-256 f115e74c766e58280836924e005c14edf0ac63f74431db51e43a0586b63c8f30

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp38-cp38-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp38-cp38-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 174.2 MB
  • Tags: CPython 3.8, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp38-cp38-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 f4021fbdd1aa2ccce5afc91fffe846b8448b03f994a33eb152040b5cf9fd7e39
MD5 ca12491f6e62d3dce52215949f5a1717
BLAKE2b-256 447c06a8fa80991c9702f6cdecb135cc6559b4ffd55bdb0991b34828ce91626c

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 370.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 46790befef6bfe26ac47021e1da9fea6f9458d4b3507ace322dbf75fbedf7403
MD5 84f2b655cfc7ab0714c1255b725a6d3d
BLAKE2b-256 0be35abc32a9d2dd94fa935ce1a14969335d54268394cbe799a9c461173236f0

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 394.5 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 839c15ceed30c34b5970c932e3686fb6e8895324d7b634e1a2ebb883c8e8bcd5
MD5 eabbc95b1858989865ae108c35b87ba5
BLAKE2b-256 7c32467fa7000b11582da6a3754028570800c74799dce09bb8768859e14e0384

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp37-cp37m-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp37-cp37m-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 174.2 MB
  • Tags: CPython 3.7m, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp37-cp37m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 29ce75170bdbf5744e5273c361cfd079d1648824a5a99056246c4ab8bd3dc083
MD5 466081657e0c95144671411cb72f5e94
BLAKE2b-256 ffe699a83dc89e831106f5dadaaa25ca176e13e0c60071448105b71020faf7f9

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 370.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 18e5b3288c35a2050d772bfbad664b34edd2c15d3ac0b1e7c771df84be1296ec
MD5 f30f916005a9025ad2bd9e94d47324b3
BLAKE2b-256 e582a129230083ab0254dc56afbd0975eeae21d8e1d70efb4e41c2b06ae9ab88

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 394.5 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2d5d8b46f5def930aa9f5ce8a94b2ead8e913ef7ae7232c3790e2056546b3bee
MD5 2e5b1f7bf2823e5562cd8188ee2e16eb
BLAKE2b-256 d01aee279cafc900b559df58a91e0921f461c4b3517d3bea66ebf25f1334c57f

See more details on using hashes here.

File details

Details for the file tensorflow-2.4.3-cp36-cp36m-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: tensorflow-2.4.3-cp36-cp36m-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 174.1 MB
  • Tags: CPython 3.6m, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.10

File hashes

Hashes for tensorflow-2.4.3-cp36-cp36m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 72eeba3fddcdc4980d9ec2fd444cf0eeed5e3949a888a56f8ef7e116af1a4695
MD5 503e79ed0cceb249b6e2a8cff4dbfb37
BLAKE2b-256 8dd9316306384ca8c54b0035fa16a2e751128c401c1fe6551dd57b4bf8495a16

See more details on using hashes here.

Supported by

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