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.dev20241026-cp312-cp312-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241026-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241026-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241026-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241026-cp310-cp310-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241026-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.dev20241026-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241026-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.dev20241026-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 5771798f2c6b112ceb2b555556d96ec617cd2e5912e05da49d7718074389e489
MD5 8b4d467ceedc41d0ab69ab6c8204df01
BLAKE2b-256 053e3509182aa0ae2e72fac4e3956d5293b7648866fe8074e3bfdd3061234397

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241026-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6975dc0a7862b3aa90f602b6524da248f605b4afe294655bfae4a7799ff8ecd9
MD5 68474e8e0b33e7cbb54d09cc4d67dd1b
BLAKE2b-256 31584dd28e0b633996da87922ca11d2b3cb8975ff15d9510cacf5935a21fa4f9

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241026-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a9763cfcca01b8e69dc82f362f10d8064aabf27592fe9211ce947aabb345dbfb
MD5 dbe2779d9eb807afe53ed0d2b9619109
BLAKE2b-256 0a9741a84e51fd13f752144139037b78e9fdebc6b2eec8383c7fdae93d53c7a5

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241026-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4121af28dff3ed79364908d1f74f622e9b52d4362529b35e3dfdd5775f1c8b0f
MD5 74167db088f06eebb41550c18dae0210
BLAKE2b-256 ec071fb408c64140e80f8644d9b469419b8e028e819893afa2a21ad6911d08fa

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241026-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f70266e672fafe1e8714da66fc0103e2b073948fcabbfea9eba4748221771bfb
MD5 4831dfdc7791c57bc534d93f864a3269
BLAKE2b-256 1bb3eb314895b268ba142ea0c1bb87c5fd2757ca924a3e50c042de30bf269e2f

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241026-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 aa0a6adb23cd30a681294187a523a45545eaa3f476ac1d3f93680004b82ccd0a
MD5 cb7851061c94e67cc4e82e8c2832f904
BLAKE2b-256 944c9289ead7d63d37dd1c03c3483d59d2b72650a80a2db447cb025f987bfb9f

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241026-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3ae6f38225cbb46803780f1044e2bcd715cf08a4f01dbd466d2f44bfc4deace2
MD5 2fe5fd2a9899b5567477824b8eeede02
BLAKE2b-256 f5364bee5644f1c2c183ba0775284b66f3b512976b4818ea4daa78d9fb240881

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241026-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241026-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7013fcc540b0b3e20b83075e39baf57c8b2d339fb2a46df9aaf126e54a30ce79
MD5 d5397cf472f5d3b93e0b5249778388e1
BLAKE2b-256 a58a466d0fe14e1b902da77b626e61c7345163983dbd70b6979dbe709ccd9b60

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