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

tensorflow_cpu-2.18.0-cp312-cp312-win_amd64.whl (7.6 kB view details)

Uploaded CPython 3.12 Windows x86-64

tensorflow_cpu-2.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (230.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tensorflow_cpu-2.18.0-cp311-cp311-win_amd64.whl (7.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

tensorflow_cpu-2.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (230.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tensorflow_cpu-2.18.0-cp310-cp310-win_amd64.whl (7.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

tensorflow_cpu-2.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (230.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tensorflow_cpu-2.18.0-cp39-cp39-win_amd64.whl (7.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

tensorflow_cpu-2.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (230.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

File details

Details for the file tensorflow_cpu-2.18.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0b093b727c2f2a8cf4ee4f2c7352c8e958a2a1d27a452961b8d5f43a0798dcd2
MD5 e4820c8694297f561396cd0a1828c816
BLAKE2b-256 0e7a1c99bb2bb7d24238b748f9f0244a198ee15d23782bb56dbf4e7b93a29c6a

See more details on using hashes here.

Provenance

File details

Details for the file tensorflow_cpu-2.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 39bd421ad125e4163d6e2d41ab0e158b583fb5c6f9254522fb87635b0e70b891
MD5 54fa751a68f271ed7df32757cc130419
BLAKE2b-256 ca3f2ed163140237aefa72c761d56af8ba3fa5cb0fe37a9f53b14ad8bcd7ef87

See more details on using hashes here.

Provenance

File details

Details for the file tensorflow_cpu-2.18.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c61ef38e24686cd460e31f988ea36f73092ccc628193df95116d6c5f690393f9
MD5 191cff2444543643dbcb7e8b8b0ae3de
BLAKE2b-256 ac19c254bb3df8f1325cc7c7ad7db2ec7cf704a04e7a682b6352a6129fbefbc4

See more details on using hashes here.

Provenance

File details

Details for the file tensorflow_cpu-2.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 089e71746960ea581dca53401f84b3b99c8537313e337a9e5dbf97036a936f7e
MD5 28270ea111a9d7b64298c16207b80419
BLAKE2b-256 aa1d032a9d40762895e51cad06f382135c14d16487a0ad9dcc65aae5bd89c968

See more details on using hashes here.

Provenance

File details

Details for the file tensorflow_cpu-2.18.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 482dc228f513c65bbe34abbb7c456765bd8e1599dbeae0924fc96d97578f9987
MD5 3b33946d5eb7347c5eb23b85db6a5425
BLAKE2b-256 ea9dc1d0e5b7d69466d93761ba34f87eb35de4dfffcc55761722ef6b680c9abd

See more details on using hashes here.

Provenance

File details

Details for the file tensorflow_cpu-2.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9f98466fde4a307d39b71309b1a9a8a4f1bb972e70d36b1ead0817405cc518f2
MD5 4d997f7a1c42fdf9b2de6c3015e6b856
BLAKE2b-256 86f54e97a17fadd91f77bfdac18523eced22201b5df5bd7c969e9ff8cbda1f51

See more details on using hashes here.

Provenance

File details

Details for the file tensorflow_cpu-2.18.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 107775c86045c7a3042cf9d79046be49cd68a3278f5d9f8c75158c049259307c
MD5 7e4dd93b575cfc53a7c32d3a2dd41635
BLAKE2b-256 5b88f38b3034a8aefef4f2f20160fe3295820f35615162df926145b4523a1b94

See more details on using hashes here.

Provenance

File details

Details for the file tensorflow_cpu-2.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_cpu-2.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c2dc132be3215f4f8d56766bf8b6645fa6d45dea70b46ae092c5cdd3e958c0ac
MD5 8aaab5a40e9b530abf938d96c8ea25c2
BLAKE2b-256 445314703a7f769e88e3bbf7a93e218c8e50a0545f07692eb7366c5c11e2fbec

See more details on using hashes here.

Provenance

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