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 links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.21.0)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for rostam from gravatar.com rostam Avatar for tf-nightly from gravatar.com tf-nightly

Credits

Author: Google Inc.

License

Apache Software License (Apache 2.0)

Requires

Python >=3.9

Provides Extra

and-cuda

Tags

tensorflow tensor machine learning

Classifiers

Report project as malware

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-2.19.1-cp312-cp312-win_amd64.whl (376.0 MB view details)

Uploaded CPython 3.12Windows x86-64

tensorflow-2.19.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (645.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

tensorflow-2.19.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (252.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

tensorflow-2.19.1-cp312-cp312-macosx_12_0_arm64.whl (252.7 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tensorflow-2.19.1-cp311-cp311-win_amd64.whl (375.9 MB view details)

Uploaded CPython 3.11Windows x86-64

tensorflow-2.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (644.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

tensorflow-2.19.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (252.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tensorflow-2.19.1-cp311-cp311-macosx_12_0_arm64.whl (252.6 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tensorflow-2.19.1-cp310-cp310-win_amd64.whl (375.7 MB view details)

Uploaded CPython 3.10Windows x86-64

tensorflow-2.19.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (644.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

tensorflow-2.19.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (252.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

tensorflow-2.19.1-cp310-cp310-macosx_12_0_arm64.whl (252.5 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tensorflow-2.19.1-cp39-cp39-win_amd64.whl (375.7 MB view details)

Uploaded CPython 3.9Windows x86-64

tensorflow-2.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (644.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

tensorflow-2.19.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (252.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

tensorflow-2.19.1-cp39-cp39-macosx_12_0_arm64.whl (252.5 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

File details

Details for the file tensorflow-2.19.1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 14ec6dee7ab3b241aae3537616e6f1ed1c7c67eff5d853e586eb66a2e9276ccc
MD5 ab8df620fa9c77c3638951a3d614e724
BLAKE2b-256 27bee303c6b55d3bc1d392c555f3e00773a5b2a1c82c8f5af052148e3f0d60ee

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 35a6950f3fee0ad2d1668241d31684676f2e6eceb613cbeef960ea22014ef8fb
MD5 c466aef4f4b7475a77a09d7c4d8e2e1f
BLAKE2b-256 5096b33fdf567332f65e78f02df3a69fbea911eec328e81dc4941d890f0777f5

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4c0e78b6100545fd90934c557f1ce802e6a9a7fdb031025efc298efb4aa2e3bb
MD5 512fa7b6e2e2c0bdd3cdbac467b02faf
BLAKE2b-256 6f3e717bb5b6ec69de7c08917326470432156b5d0fe888e43775de95d8322b07

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 02c69369a82709827c6a5218c6697ee94dcd1397230319cc17c47a3342249354
MD5 685ae7af3a34fdb4443f4f9372f4f92a
BLAKE2b-256 73c97f6430b944b3683d448f2b3ddace47701021116f6891ffc4926ebb957a88

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 1729bc2ae90a100a87d5a462b5e9b85a088261a03f0a7179eebb8735938bed57
MD5 6f2b3d50feee548992dcbc0320eb32a6
BLAKE2b-256 3af7b0f6e55174217a59e0b850909dc2691cb8afd8f7b38a99151d0a0d81e3ef

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8e5524eb492160576e5eeea9bb472ddc653123503f2290f83123d5ac9545750e
MD5 427f6af1dfb0f4a1aeedf6ea7d2e6df0
BLAKE2b-256 f65834f49a802d6d1f1eb6fe89bc9ff52e2bee19d5c3461059a55702fb7e5fb3

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 22deedc251837f2382d2b287c705705cb089bfaf79b2274b78c08740e02bf188
MD5 b32b3438930b9cd12a0c2af494644c2d
BLAKE2b-256 7ec6fc6416ac841106f3b6f2b4d16f50793a71d675c3558c482fd4b3cb44f95e

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 8a274a1336051bef0e7e042fa5818a9d342e300d9c311c5d7933eb60e2269770
MD5 839b0b2b21ab0d480a66373e6d4b1b5d
BLAKE2b-256 c69170ff01474ff0f2266f47ab292819b97088b512d7e9093e416d16c7aac5ea

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a61c209ec594b2ed4ee2d55a905945bd748df6a1d73ab7ccecf7a9234f52045f
MD5 7060b8881fdff52ac91ab5008c265490
BLAKE2b-256 7c80b74fef28ea980bf6a65dcd9cdc55e2c205b1fa7e8c253a6ddf9f260d990e

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 11377d4cecdc665515e370524b650a8ceb80b461f40f5e63993ed27d0ef931da
MD5 35c024a092245dbbd0e97428d361f7b0
BLAKE2b-256 776051d921b17f7b1547db32018d6a933627d4e2a762d2fc2ca6c0032cc8b062

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9077404d1928ee58bfb82ea1b0fce25353420338c259742227c27c4e00377f4b
MD5 0c6978cf4cbf12f8efd85bdea1a80aeb
BLAKE2b-256 654acdbcef3a959a2eddf5d3ee7a355454e8d18c89a2e197e96a1b4f55e58d86

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ed3148ee523cb46badd30ea04a6b7fb6056b9bdb7e082de294a86b2fdc01f9e4
MD5 d24f2e9044f855614220b6019d3d22f0
BLAKE2b-256 cb6e8613ef1cea8013b899adae32bb7cc5218434d84a3a2d6f41937e6d7251af

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tensorflow-2.19.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 375.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tensorflow-2.19.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7e770ce558ceeed129537683d3bc7ec9214de8bb296354e1c4198169f4deda1f
MD5 8fb31b651c0448599f0fd3f9d1401cc0
BLAKE2b-256 a28aa854c04228d41861c77493a7da5510c9b0969fe44c7903745afb8437188a

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7a66b66fcc3eee0cc4d6c405cb5918972afeeb148684e174693d5d0449c3fdaf
MD5 68556273080850049aaf24df039fe8d4
BLAKE2b-256 9345d9480e6140fdbdff8400c132c99a221787d66803739bc8664d3ec3f70633

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 938fb49b3299a77ccdaa26c0824dfcca3002b260c7bc994cb129d4ec12f31619
MD5 e1089866798588890bd7b399b7098bdb
BLAKE2b-256 500fe457ff412f20226516bebaeaf28f6a86531c15dde39fbf4f49b849e30cd7

See more details on using hashes here.

File details

Details for the file tensorflow-2.19.1-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.19.1-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 04f3b4dbb3ce4b507d853decfb2d116f8d0344d23413e2ad889e1e069fbeb54d
MD5 39b9cdd3a3c2fc2961835d546c3bf797
BLAKE2b-256 2da2cb060b8944a03321efbf1a56cfe49144e5ae648fbe68f2eff275ca297feb

See more details on using hashes here.

Release history Release notifications | RSS feed

2.21.0

2.21.0rc1 pre-release

2.21.0rc0 pre-release

2.20.0

2.20.0rc0 pre-release

This 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

Supported by

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