tf-nightly

Pre-release

This release is a pre-release and may not be stable for production use.

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.

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

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

tf_nightly-2.22.0.dev20260904-cp314-cp314-win_amd64.whl (383.3 MB view details)

Uploaded Sep 4, 2026 CPython 3.14Windows x86-64

tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_x86_64.whl (635.7 MB view details)

Uploaded Sep 4, 2026 CPython 3.14manylinux: glibc 2.27+ x86-64

tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_aarch64.whl (303.6 MB view details)

Uploaded Sep 4, 2026 CPython 3.14manylinux: glibc 2.27+ ARM64

tf_nightly-2.22.0.dev20260904-cp313-cp313-win_amd64.whl (375.8 MB view details)

Uploaded Sep 4, 2026 CPython 3.13Windows x86-64

tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_x86_64.whl (635.6 MB view details)

Uploaded Sep 4, 2026 CPython 3.13manylinux: glibc 2.27+ x86-64

tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_aarch64.whl (303.5 MB view details)

Uploaded Sep 4, 2026 CPython 3.13manylinux: glibc 2.27+ ARM64

tf_nightly-2.22.0.dev20260904-cp312-cp312-win_amd64.whl (375.7 MB view details)

Uploaded Sep 4, 2026 CPython 3.12Windows x86-64

tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_x86_64.whl (635.5 MB view details)

Uploaded Sep 4, 2026 CPython 3.12manylinux: glibc 2.27+ x86-64

tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_aarch64.whl (303.4 MB view details)

Uploaded Sep 4, 2026 CPython 3.12manylinux: glibc 2.27+ ARM64

tf_nightly-2.22.0.dev20260904-cp311-cp311-win_amd64.whl (375.6 MB view details)

Uploaded Sep 4, 2026 CPython 3.11Windows x86-64

tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_x86_64.whl (635.4 MB view details)

Uploaded Sep 4, 2026 CPython 3.11manylinux: glibc 2.27+ x86-64

tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_aarch64.whl (303.3 MB view details)

Uploaded Sep 4, 2026 CPython 3.11manylinux: glibc 2.27+ ARM64

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp314-cp314-win_amd64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp314-cp314-win_amd64.whl
Upload date: Sep 4, 2026
Size: 383.3 MB
Tags: CPython 3.14, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp314-cp314-win_amd64.whl
Algorithm	Hash digest
SHA256	`3fbb0819d61e27f35afbb0ca45cd049417609a9be62109485e6033d30e5d64d1`
MD5	`e77c3f5f751c352427c77552c601d207`
BLAKE2b-256	`e400139df04cd3296ffe2fd9aaf3d90829ec5f2904da3ca62589411c07561f04`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_x86_64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_x86_64.whl
Upload date: Sep 4, 2026
Size: 635.7 MB
Tags: CPython 3.14, manylinux: glibc 2.27+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_x86_64.whl
Algorithm	Hash digest
SHA256	`8d1ff4e4a33cd1e0f8725c0f6da12f769f96d1fdaa994baa7f38e2da71b205d4`
MD5	`f4b41d69f922618fda575a89c40e7d6c`
BLAKE2b-256	`b265c4d9592f2c902f9b3f8869438811758c1dea1cc0e70b5cd35ae4aad74913`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_aarch64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_aarch64.whl
Upload date: Sep 4, 2026
Size: 303.6 MB
Tags: CPython 3.14, manylinux: glibc 2.27+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp314-cp314-manylinux_2_27_aarch64.whl
Algorithm	Hash digest
SHA256	`2e8107454d3f80d3ebb5241f733083ad3f57dbb1386e49bd7a17e43cc57fadd0`
MD5	`b9da4924f742a83cb9446cff88d4414d`
BLAKE2b-256	`cd1c6afc6e4c5be972db4df5edec75277a887868bd0d5a8b3ad30991405b81ab`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp313-cp313-win_amd64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp313-cp313-win_amd64.whl
Upload date: Sep 4, 2026
Size: 375.8 MB
Tags: CPython 3.13, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp313-cp313-win_amd64.whl
Algorithm	Hash digest
SHA256	`e9667fd94f1abb2c3247d8b7e253d8a5dbf7b93d0839dca64fb06f7b43f17841`
MD5	`5cfcc60ad5413b31559f6cc0680d3fc1`
BLAKE2b-256	`0acd0a51179aef90b4cd9c915bb80d5942db1196e931e620ba7b0292f549b0f5`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_x86_64.whl
Upload date: Sep 4, 2026
Size: 635.6 MB
Tags: CPython 3.13, manylinux: glibc 2.27+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm	Hash digest
SHA256	`360fe6cba55caefe247efee8da8f5891b7c835315a88a23e594afdaffb1d141b`
MD5	`e36629779b78b05831b18ed304011572`
BLAKE2b-256	`8ad374a1cae744d0707563e06098ca7dfc3a6ae21f2ed75330ed0e965a55913b`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_aarch64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_aarch64.whl
Upload date: Sep 4, 2026
Size: 303.5 MB
Tags: CPython 3.13, manylinux: glibc 2.27+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp313-cp313-manylinux_2_27_aarch64.whl
Algorithm	Hash digest
SHA256	`41ed53f5c43605b7340fa0771441addb287c5a0dac86d62421ac3c8d9878722a`
MD5	`ad3740447f8e6c905b1fa7ea0d1c409e`
BLAKE2b-256	`6ae6c61c67a1bcbb198b7b6c1e1f35135bab470b7ef2984f2bb61948aee180f4`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp312-cp312-win_amd64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp312-cp312-win_amd64.whl
Upload date: Sep 4, 2026
Size: 375.7 MB
Tags: CPython 3.12, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`2a156cc7fc757ed31a6d70050aa6a90a1c3d4c90d589c6e7dc1d9adfd301710f`
MD5	`5e459b3d5b8fe7092fe07aa057221f3e`
BLAKE2b-256	`bd32bc22465f26cb114502ab666168cf8854fdf1bb90a00512f8ad915858d329`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_x86_64.whl
Upload date: Sep 4, 2026
Size: 635.5 MB
Tags: CPython 3.12, manylinux: glibc 2.27+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm	Hash digest
SHA256	`17a05abb224df0b292a5ec01c73ba623b75399029fe14f06bd1b009808f8fdf0`
MD5	`1c81b711bdb2243a8fff460e4698cb24`
BLAKE2b-256	`9553fb6bb9b3d81d45872b56ad9d33263dc6c094889192ae58adfc48f26f1345`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_aarch64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_aarch64.whl
Upload date: Sep 4, 2026
Size: 303.4 MB
Tags: CPython 3.12, manylinux: glibc 2.27+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp312-cp312-manylinux_2_27_aarch64.whl
Algorithm	Hash digest
SHA256	`4e0e5c88f909b38fd653659189b2f2478d529d5220e0f3ced0b039a309dddc52`
MD5	`66f06e137ef24214bf3bc7bd47bee6d0`
BLAKE2b-256	`fe6e225b064503142daac81f99cfe3b64c39c44e25057e4a12920fa1924118ea`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp311-cp311-win_amd64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp311-cp311-win_amd64.whl
Upload date: Sep 4, 2026
Size: 375.6 MB
Tags: CPython 3.11, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`da3c7c82ff79384ab281114db42b113a8fda41f84bb4efe8e5bd9b325768b59e`
MD5	`2f8b4a584e5abd4a617d1072287a2df9`
BLAKE2b-256	`381e03c941725b3060291fc81d5e605a2c622c3af2a317a13c4382979d46f3ed`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_x86_64.whl
Upload date: Sep 4, 2026
Size: 635.4 MB
Tags: CPython 3.11, manylinux: glibc 2.27+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm	Hash digest
SHA256	`737e50621a536df23bb04786c938767c4084029f2658bea26c3f9f1c9f7300bf`
MD5	`00e5a311dd5b12b0ea586e5d7fbfbb38`
BLAKE2b-256	`4c2b3d7ee4f62478f168ea45108db6ee766f0fa3e1581b69be90ed713063a23e`

See more details on using hashes here.

File details

Details for the file tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_aarch64.whl.

File metadata

Download URL: tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_aarch64.whl
Upload date: Sep 4, 2026
Size: 303.3 MB
Tags: CPython 3.11, manylinux: glibc 2.27+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for tf_nightly-2.22.0.dev20260904-cp311-cp311-manylinux_2_27_aarch64.whl
Algorithm	Hash digest
SHA256	`f170f82fe725943e8f54d98a325173fe60933651f5508c1f1818586e81e508b8`
MD5	`32b3211acfdf6e18132bf6606a2972aa`
BLAKE2b-256	`ef1b11d32c618a02a0ba3e71c38dea8e9d56bb6d5e716e7263504b7c0fcfe7c0`