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.dev20241117-cp312-cp312-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241117-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (238.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241117-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241117-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (237.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241117-cp310-cp310-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241117-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (237.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241117-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241117-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (237.8 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.dev20241117-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 5dae3593dbe114f56cff5eacada3109536883a8aa09458167965e29224f63719
MD5 5349ada0e5369a321c26bfc6e17bb87c
BLAKE2b-256 d73ffa32302669e75596e3f309c2d68978069b5df235001b491262e6cdd50254

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241117-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3cc69f2bc37e1da19514e3d809ab24b43bd4d15e4742862176542a2d53dea0d9
MD5 044cb5ea63dcc0fc84b2193df8eef37f
BLAKE2b-256 874196333eaae43047abdf8ece4600d645548198b9d3eb74cb0ba1166ee96d3b

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241117-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c5c08e6e8a85d88c9ae9228d81c131bbcd518440247fdadebd1d5f830f300b6c
MD5 15924b46d4ca7539cca3f61a75235a17
BLAKE2b-256 4f5b00e9df747b35a802cb0dd475451ee424b513a4b1cb54ccd136e04c7f2012

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241117-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 218c937b3e6d9abb8d7e0350892f122708130fdfb8280666e6ba66a08be751ce
MD5 98203ef88c1537d1b15ad4f949404a4d
BLAKE2b-256 439e31ad403ebb53a46b8a9f1d9b6a513a812333ef566132c07154e89a57463b

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241117-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ed0478cca322c5b1c09128254a40ec003191e408cae91ce0b6522c5d54bec641
MD5 4492e7a25160bc6bebc24c3f34960c25
BLAKE2b-256 3f9d28cafce476ac2010fa45300b7445aaf31a172ac14c363b748926d20e0560

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241117-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 13caca7bfed7e55dee4da731f0d519152715210be7e234cb2720d6e9e590f97d
MD5 8597dc870a3ede1ab8d38de1c0783ebc
BLAKE2b-256 1f8fd496e75b26119627d966c618166a0170f247f632ae452fd41f72df16e845

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241117-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f7a9da95ae90eb21ac2ae4aa2fa54a5af30470d0ec44048ea2bf19b8a514b884
MD5 383db4df174ccf07b0692ae3d430288f
BLAKE2b-256 dd60e530d5da84767bdb5b84c32f15c20fda60a7c49ec4b5123d04aca8da414e

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241117-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241117-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cdebfefb87d1354221d46c390be6f13ed4305b48686e628ed47a3783dfcf2ab2
MD5 5457759cce7d666e372bee68fb61575a
BLAKE2b-256 f663610e935fba257210631e3b41445f6e16e8501cb674e31b388219ed666b07

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