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.dev20241015-cp312-cp312-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241015-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.dev20241015-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241015-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.dev20241015-cp310-cp310-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241015-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.19.0.dev20241015-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.19.0.dev20241015-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (231.2 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.dev20241015-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 4dbf245351235e43e2af1141750da6fd213c09b2e6617b5439c2c32dece1fcd6
MD5 d9c3fd50ea3aa33f449d8e5ae18d6b40
BLAKE2b-256 22ea0e6b79b5c8b7155ae2fc5894af0f74972633b45c45f74cb2418b1e227a0d

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241015-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e51e39bc5745c1a70ea4d8a89eb92fec6349481b3130ab6f82d9197c397ab688
MD5 0ed4c302bbd3e7c943052bdf5f966303
BLAKE2b-256 33bd559f15b559f601f1b69af3941f005267379e4295ef21c57d1388bf5636cb

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241015-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 764d80c2847c6cc3831a81604cafa0af7507f3e29c5f6883f5d139c0175e54f7
MD5 ac120cc402c58933a9463c7b778a6b00
BLAKE2b-256 63f080fb5305e52d8e230e978f9bb099de2f8a532f856f39b3c7009513748f16

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241015-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 505885a7ff300be5a4da9b09d658066c461ae0c25eb38c6f5796a21fa7f4e5a7
MD5 e7212ef61e54952cc26823634d5fd0a6
BLAKE2b-256 3de19e346789f35f85825b3048f60b7ceb4625da64a9a4033e9dc6fd1e254a44

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241015-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3a638d7df667e14c134fa9a200ac611b7e2b85c3313df8d14d991e5adbfed082
MD5 eace63b6a8b36a612fb30e0adcd584d5
BLAKE2b-256 69b1e7e035ce4a0dbb4e4f141806802a96109454eabeb02d63abd55597fad27d

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241015-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 53df31058f4fc48ad0b7e83800fef26c7db2ee827f63e59c65311339082cc4ac
MD5 0144863df11148fd5dab40e922d53650
BLAKE2b-256 6f392c60cd837258cce5a4b7d3bd3c08205c4471baa81d08c24852d202f1089a

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241015-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 57395c92dbb8735d3a8627d76b2d4bf5235ff527781a6edc3bd19796aedcbf2b
MD5 de23379c233f3a2eab5a17ac49ff6a38
BLAKE2b-256 42ff71cf72312cec8330af4a22edd2e26cc25437079c9566c734f94ed0d3486c

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.19.0.dev20241015-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.19.0.dev20241015-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f5ac5682191b4026e63a6689e154dbe59f58c07f151652ed0333293f0dfdd49d
MD5 577663799873566f579d5cadba93b0e9
BLAKE2b-256 8bd0a35e5eb3f0cc2711b70038a4b30f71195eaef9a7723b719383342488f34f

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