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.dev20241021-cp312-cp312-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241021-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241021-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241021-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241021-cp310-cp310-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241021-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241021-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241021-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.6 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.dev20241021-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 70fa17f648d2e12e7e4033899401b21fd7d2777f4de87b7302f10cbcfcf35a0c
MD5 720174bd969e8ff2e59ee3f4a2a3ed40
BLAKE2b-256 7131dc0f5c5ad66f368afc5d1c5e9c5678912a202300c3e2011e0a6a999b2977

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241021-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 21228abbb4756a6cfd339dd9ed20a7e31b755023cd716433f0ad665e75dce13b
MD5 cfee9bf8216a65f2a2eaf0c35ed68b92
BLAKE2b-256 14627a359fb710f56763a0ba6c164989d205c18a084475a2e47b256aea84289f

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241021-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 5f9db2bb1c25b6a50e32cf634b9072df27b5f5e2cd9204764c7c26aabe7cea67
MD5 783c8fddc7721aa0c5d32f62aec4fe77
BLAKE2b-256 161f497e1ae8b33f97f810e05a618d5a8689e2c9919f7484a01458fd1b4e8cae

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241021-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b32066b86098cfdfb83c80078210012a1d9cc511b5603a600962a7e05f16bda
MD5 ead1eef2e5501bb7ab00c600f556dc8d
BLAKE2b-256 23fbd9c6a09b5e74ddfaf312b75fd69bc85f744c9f59833317b18d93895a7709

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241021-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 47b84effdf829c5fdd16daddd91697e5c7ae4eb316dc6fed05c47abc09a2a82f
MD5 3391b65a1a607364399d86d96d92c79f
BLAKE2b-256 4f89735d8a4b5955b2eecd5ae30eb27c5cfd1194bd0a6dfd4b9918cc5b8de9e2

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241021-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0615307a060ac9cdae3f178d0e2bd018c3b5091535fe17cc2f3000730099536a
MD5 d749238cbd865d6cb647471a3617e201
BLAKE2b-256 25557d9469839058b4673ac97e6a2a412acb093697611ed086002f3e132798a3

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241021-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ac60893abe54822c9a8452d34f258cda2b2c363515d2cae82b5fac5031ef1a66
MD5 daa55d2dda7db307e2517b7e627bf54a
BLAKE2b-256 65f2d788438d186ff007f7d646fe51d17858ebfaacc968400c5fc1a2f02b27a8

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241021-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241021-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 59de605ef6359a493dd0493055279e02ddec959ff4cc50dc9647c337803f988b
MD5 d9c9b5efb37ed954ea4859d58f08d7fe
BLAKE2b-256 01384598dc33425ebb52f5ba087db6213d938e50f97a43bbef47a4acbc03d3ae

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