Skip to main content

TensorFlow is an open source machine learning framework for everyone.

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


Release history Release notifications | RSS feed

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-2.20.0rc0-cp313-cp313-win_amd64.whl (332.0 MB view details)

Uploaded CPython 3.13Windows x86-64

tensorflow-2.20.0rc0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (620.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

tensorflow-2.20.0rc0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (259.7 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

tensorflow-2.20.0rc0-cp313-cp313-macosx_12_0_arm64.whl (200.7 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tensorflow-2.20.0rc0-cp312-cp312-win_amd64.whl (331.9 MB view details)

Uploaded CPython 3.12Windows x86-64

tensorflow-2.20.0rc0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (620.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

tensorflow-2.20.0rc0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (259.5 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

tensorflow-2.20.0rc0-cp312-cp312-macosx_12_0_arm64.whl (200.5 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tensorflow-2.20.0rc0-cp311-cp311-win_amd64.whl (331.8 MB view details)

Uploaded CPython 3.11Windows x86-64

tensorflow-2.20.0rc0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (620.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

tensorflow-2.20.0rc0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (259.5 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tensorflow-2.20.0rc0-cp311-cp311-macosx_12_0_arm64.whl (200.5 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tensorflow-2.20.0rc0-cp310-cp310-win_amd64.whl (331.7 MB view details)

Uploaded CPython 3.10Windows x86-64

tensorflow-2.20.0rc0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (620.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

tensorflow-2.20.0rc0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (259.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

tensorflow-2.20.0rc0-cp310-cp310-macosx_12_0_arm64.whl (200.4 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tensorflow-2.20.0rc0-cp39-cp39-win_amd64.whl (331.7 MB view details)

Uploaded CPython 3.9Windows x86-64

tensorflow-2.20.0rc0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (620.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

tensorflow-2.20.0rc0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (259.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

tensorflow-2.20.0rc0-cp39-cp39-macosx_12_0_arm64.whl (200.4 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

File details

Details for the file tensorflow-2.20.0rc0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 7a58790c7c6e68953a28f34bc817c3e87adc1da71707ca162b22da9d218a817a
MD5 b0c1f7045646844ac51d541c5e368cc6
BLAKE2b-256 cf5b7e6e4d7da1268aac1ad6dc1058fe25ba3d6b696e67738682520a4c12d47f

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a9651d2df821312222a3e4fa5649456b39b62b6b1a4b57d6c46991fe875ee74e
MD5 1a56ab5965c3113713cb1c7f03a2a730
BLAKE2b-256 892d001755c8490936e6f13d3c2ace994f6de02ac6764c2b9524a1c47e410a30

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d2eeb49c0f9ef93620fd1a29dc4047e16ae2218fb71552900a9ea78c09c42e35
MD5 ef48eda2453615be55c2d7673ef481b6
BLAKE2b-256 0b813da301d826d3c1cc218be23def78b350bbb940ef29d20c7d7a6bd2d81290

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 1008cabe82e8ad989a27d3b0ff779ced221f2e8d19610f0d5bbe42cd8fc7df0a
MD5 6abe143ee66649eccbf37b0b754389c2
BLAKE2b-256 14aea327dd0089372d5ada33b6d29a31544cf4a2920c50a8a1b38c61bc2d9593

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 d1deeb90e1c86ced51636c469ed5456c9c36d21143411c89d3da81667482bcaf
MD5 6c85f035bc331f76837a6b3a73cdcb54
BLAKE2b-256 2d4499a2bb84fb74249bb00a96a26393e7d2ba11f83baef5b7a9c655dcf81f57

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 541017c8e760f2fd62ab991db022491ecdec3ba4d1b04f7c12d5d467e31a5c3e
MD5 edfa3d53a0d1622f5f703aa93dab2e68
BLAKE2b-256 20d4a71dc8cf1b98a2658f0c38b05319325dc194bf879c5e5a04acb8c76af922

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4f4190ef15d6d7db82ecbf9eb7d93a0b7ff979fb3d1364b30a24695f40b7bf7a
MD5 5a931cd0e4a7fd4f916eac695d3ec591
BLAKE2b-256 19d595c170c514f0732b852a438cefb53b39a63e85b78fe26abee02fb1b61655

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 4542305a6741393df939bb4ba02e62a7a7b1e92040ce3c1230519d2658eda476
MD5 2bd653150d7344181573ba0b0cd58444
BLAKE2b-256 bedeb3c24b0c42a04eab1a9f7066ad31f6700dc6bebd5d55c6db5644c8a6a882

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 21740f9975472cc31f9e2d41e0850bca48255e8207520e4d69f8ecb80de09dba
MD5 499f4900f69b484f4eb3738b9d9208d1
BLAKE2b-256 539e869605423a207071716914c63c10e55ac8bfd94823524f93e57c3e659983

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a975629d8ee9ca0f1e3d9c9a19084fe0eb2a32ac37d2e9ca54b7c337b3d3619f
MD5 9a0ff93c1d57d0d56acf3565ff9d93f4
BLAKE2b-256 179a83804e0e22246b60287e1155207e8440522f97940ad060be7b9b38c464c7

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bf0c811f9c54310344a9475835a8ddbc59d536fe14f68c77f0588c1281724387
MD5 6e32ee9dbeb930175c147c1174e8a9ff
BLAKE2b-256 aef001d01c7d2c1b9b832cb132b88618631bbce7ecd862dce64d6b23e212df07

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 09a3f64bf84d0945756cc641d058834dedf4989d850661270b0149f08173404f
MD5 56766cfb6dc4edf60817e5588149558c
BLAKE2b-256 bed0ec0267e2b331b0a8c09fd5e6a732e1d3ea5df82cf0dbc20fb263618cfb65

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2c0a9ec5eff5262746d6e7a3300678cb252039a324f21744ebd972104253c42c
MD5 abd66a9235f474a52fa67830515bdf57
BLAKE2b-256 0ba7c78d442c84a47e5356c0a9b3c3e2d7be35823fdacee3618491b56a1e1835

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 523f6cec9b86fcc76a08659269918cafb23d1cc86fe208740e738b2cfd24c58a
MD5 48888a61d5cdf85029063ad85389fe08
BLAKE2b-256 40bbac39f47fc6807b17a5ca426d0d81cee5032e37fd928276db24bfbc7dcab9

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 83036ed40e074d3f4afb101ddb4c9cf2818f0eeacc3872b2e352095c68fcbff9
MD5 073be6cc831bc195b0f0cd56e24a847e
BLAKE2b-256 a3bfd4145a2ab94fc53f35f8fadda0a25a3d9f8e95f80def4a7715b02a85209b

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 16b1d64abf0711bab9d46797b6c7ec42f6429bfa5f526bd8bb45d1a9dc7e55c4
MD5 cb0d3b84338f0373617e607df274d058
BLAKE2b-256 2e0431e5e58ac88ecefed3ed76b58ad876fca230ab1f1734de1469199a26fb60

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 aae78ed9753c68910f8fdaefa1a4075753454ce71c1a833d240ffd3d7bd75b36
MD5 1e0d694cfaf3cef79c16da1c94456bbf
BLAKE2b-256 1cdf4c5f8300d3888b606e5a40a1ace3be0c9f786a4118c8856e4b0ca095709f

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a11229b4bc0046ebe8890b9532c474ff7718993bae8daf340ef2e8aca4f14abd
MD5 f3f05bb678695ac369b40ef4a1f81636
BLAKE2b-256 b401dfe6a631daa9805482686ad544c89312c395604f386301f89275c2dd55c6

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6c3e940060fe2ad55b7ed7a9a03f072511a3b8b86cecbb85d6652d47253fed5e
MD5 6cb3e8cad3aac29facf2743b7dc97686
BLAKE2b-256 b04a4cdb815af2947a6a6b3e60410fa3e88d62f59dbff64c43b67692e23815a9

See more details on using hashes here.

File details

Details for the file tensorflow-2.20.0rc0-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow-2.20.0rc0-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 0964074df5452a6c410fa29bac8fa3ac41b3fe53c1b0dfcf5675580fb25f3174
MD5 970f42b3692e3d368e06fb05ef5fc13e
BLAKE2b-256 5d31f300fbca3c50c115452e2146f87bcc8540dac09271eea9f43de48ef42610

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