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-2.18.0.dev20240908-cp312-cp312-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240908-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240908-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240908-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240908-cp310-cp310-win_amd64.whl (7.8 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240908-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240908-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240908-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 552ce839fce4c4479789a881218ecb9c9037a7b9643530753b2e0aa72f3d4248
MD5 82592e381525fbddc246b75464a46b45
BLAKE2b-256 963db5c91f80abbf729aebe1e851a0ce473d5e09b779aad88bc329f1b45c757d

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 22d4f1bbffd3baf357d8f2d06893e549ded8473d3015b1de540547d8932a83da
MD5 aa04394556bfdc4f0aec4a96f633a93c
BLAKE2b-256 6957f27847752971f0c7ba699f80e8dfb810f4b6fe30ab5f0a9c79c207285578

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 12296c1d043aeeb8626c3422291a67c1d4b83085a4544303f443bd5141cc6fff
MD5 e5e6238e8d8630b364700120a570c882
BLAKE2b-256 cc42787853a593c51711679ea14ef0fbd7ed7b2713718a553e855c067eb0ab93

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 75d459a6d501699953d7542ca281735fc0cb29dd1b01c3fbabce3904aafd885d
MD5 9cf301337cd42a09c61e362aee8fbc1a
BLAKE2b-256 16f9199d8ec29970bbb181e1013c30858fa3f52f88027169090add54b6b98566

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 77d1a21e26e5b63212e793f4c4be3c1e71101dc76f80f1f32484cf0870bc468c
MD5 6acadb2fb55a299f3531a3771384022c
BLAKE2b-256 9943023ddbc3f55bbd525a5b3c10944fba69b7b6f52b0372bc2c16fc63a62f87

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 de0939e71e36851bae1cb3ca77fcd6863bfef583aa6cee5b341060c106f8c28e
MD5 0c25533b742ed9f5fe25ec6a0d27110b
BLAKE2b-256 cf7d37da30c0f370f8c56a4f413af574a686fde77719722f97b8dc8cf2bb294e

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 e395c206958a82b8ade257422f68ee651913e56f1cca81e16637a2d8d448c501
MD5 cc458f704768c0ace054017dcb348d86
BLAKE2b-256 3490c94e6d1aa8145a5d06edea7225044f052bcd520f77e34d695c5de765033b

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240908-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240908-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c6a16e192113b856fe7ab302b2984fdec06679152157ef4fbf5aeae8ee0ca759
MD5 7fb87e097ef6f323177acd5423fe66d2
BLAKE2b-256 117b903e9b1bc123b3779effd373c2c3973db09f7406fd5f5f890d60bf009073

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