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.

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

tf_nightly_cpu-2.18.0.dev20240907-cp312-cp312-win_amd64.whl (7.8 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240907-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240907-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240907-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240907-cp310-cp310-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240907-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240907-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240907-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 ec5fd372b6464cc1ebaf6e9f7d36beb1cb9b89c84f1bd644bf4ac0632cdb843f
MD5 ecb2659532957ff8d85279022cb194c6
BLAKE2b-256 5695fb4bab6aa11836e31f50a25afd7acd490eaa5f641908fde976f4ec7ceb74

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 40bfe7779c2c8f97396bf6a153acf79cf7def43904f9a22b7d9507b7dc132580
MD5 207c02fc6f3e15daf0ac7a823c29d6f8
BLAKE2b-256 a3d1f960a227891e1a71792bbfb1428b34361d94b604abb65cf1421b42f79191

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 434f30de943c2e103efb113c554b958750456bd06a38c8d7d362c0be0b2ed7fd
MD5 1afae2b13f3040b08d232a3aa9fed9a0
BLAKE2b-256 aaec39811ec5f2d489caa6f1b642f865bf3e831d960302a2acb02e575411becd

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 97f57dbf583206bc729fe3fe2b9b4ef8c37f67e7ddfa2b00ee014ee220294a0d
MD5 1fbe4e4c4874013033c855211698f687
BLAKE2b-256 a6086c4501a03468ef9761126dd5377cf4bdf9eecf1f48425799823965c5d1ef

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 914bc8f6f48ae3d2d813d04dab8ec2f172990bf56b0fe4b05d4d11059d87837c
MD5 8d1e3d31efa2fb3a638c51d1cd986b0d
BLAKE2b-256 8db36e5ce7f68f900378021fa6fdf4298dca0058c07ee4169d3fd8ccbad204d8

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fa459b8dc65f033737a629d265d539b71923072278b819ca01b74291fab0a907
MD5 9ecc5b8a9338ac34d10358c2acbb17ef
BLAKE2b-256 6236d1fb3edacc4b1cb48987bc5f56050e73a53b7b7a7b29930504e6a855ada6

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 146bb6fd95454288afdf7e2776b5f01ecc8597bf594ce4651fd2e85173438105
MD5 f5826437ba66b21589458d9f9951a7de
BLAKE2b-256 ec91f5ed12115b5e45ba4fd3588eabc6bf34b3950e3bff5b94fa7814a7cb8c4b

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240907-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240907-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f54af4513fa498ddd6ab206aabb57ad992d1e7b65622bdc23fea419cb1883464
MD5 1fb15534a282d1db369101dcfc7777ea
BLAKE2b-256 1facb77c1fce7dccdd932c14230d8d2898f4862044d3a06ca7fc02e47d8eb313

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