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-2.19.0.dev20241014-cp312-cp312-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241014-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241014-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241014-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241014-cp310-cp310-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241014-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241014-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241014-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 f6932c9b7f96b8e2c9ccf8c426238a4515436e5402f3dd3b5c86193b0df7e792
MD5 58e26b6839d61aac8c30399ab9a09031
BLAKE2b-256 b6173b9307e8d4c2385fee3d630fe76a67ff2fb8a7262b5bc1017a208927e493

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 30d95d22c0c793f9bb73e40b2d7f371c67ba0e2d5881dd6f3bc5b090ffb90845
MD5 d578241c3da606d74095657497ed6b8f
BLAKE2b-256 ffa4b999ccf9b5a0fcf9effe86d498dc36099fb4802ac634b8859ead5b96efa1

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8c87765eff2525ca04e877c66678d772f74fcec42b327e3bbf1e50fdb4afa760
MD5 15c01419b22238b54872c5c47bc7ab7e
BLAKE2b-256 e414461d56929edabbfbc55101e00de52d7d3c16d112454cd5420b8238a50313

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 02b265eefc2e7f463c562e15e83e464b1f0ab66544ff4fe5724a387349bbc5ad
MD5 54f68ccc21051f15159d12c32d9c77f7
BLAKE2b-256 c0f1613c1d3a39711ba55113307cf50f0990351db06e433e56419e5dde5603ce

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3a9bf524278d5ba7ac678d6bce61dc8c676e70cd2a3ef24e92000085baa5cf26
MD5 1dba0c94d6f1a89cd997a9aab54f8c80
BLAKE2b-256 de5770d384dbaa3ad4c224ed61a1891947d2793e105666c0bb8d96b78d059c71

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 19464538cfbef700919d957ea4e5acac13012a779eec9ee9f258444c478027b1
MD5 16a72c033f03c11d70e203e681dd022b
BLAKE2b-256 bd8c230e216047218bf174458e64ab4f4657b774713da6b406024bbb5dc223b6

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 db7e42c57da57bfc528eb4f97a0fc3b92466653e54ae5c34bc7339381a56b4a6
MD5 620e8dcc9b33c99deb4963239116736e
BLAKE2b-256 17dc087e273c56b3331f3c7ebc0438b314fb9d0ed85fa55fd9aaf3048a957208

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241014-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241014-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f80db49b0e5e872f45b9cad6c211b10e1e07472def7523cee4b50a26085c5398
MD5 890d97c85c3271d54801f0012776619a
BLAKE2b-256 67c3acafccec8db2e9610b5f10db7b051161b3ffcec17db13922461ccfdd173d

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