Skip to main content
Pre-release

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

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.

Metadata

Release files for tf-nightly-tpu 2.21.0.dev20251107

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for tf-nightly-tpu 2.21.0.dev20251107
File Actions
tf_nightly_tpu-2.21.0.dev20251107-cp313-cp313-manylinux_2_27_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ x86-64 Details for tf_nightly_tpu-2.21.0.dev20251107-cp313-cp313-manylinux_2_27_x86_64.whl
tf_nightly_tpu-2.21.0.dev20251107-cp312-cp312-manylinux_2_27_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ x86-64 Details for tf_nightly_tpu-2.21.0.dev20251107-cp312-cp312-manylinux_2_27_x86_64.whl
tf_nightly_tpu-2.21.0.dev20251107-cp311-cp311-manylinux_2_27_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ x86-64 Details for tf_nightly_tpu-2.21.0.dev20251107-cp311-cp311-manylinux_2_27_x86_64.whl
tf_nightly_tpu-2.21.0.dev20251107-cp310-cp310-manylinux_2_27_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.27+ x86-64 Details for tf_nightly_tpu-2.21.0.dev20251107-cp310-cp310-manylinux_2_27_x86_64.whl
tf_nightly_tpu-2.21.0.dev20251107-cp39-cp39-manylinux_2_27_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.27+ x86-64 Details for tf_nightly_tpu-2.21.0.dev20251107-cp39-cp39-manylinux_2_27_x86_64.whl

Total release size: 1.4 GB

Release files / tf_nightly_tpu-2.21.0.dev20251107-cp313-cp313-manylinux_2_27_x86_64.whl

Download URL tf_nightly_tpu-2.21.0.dev20251107-cp313-cp313-manylinux_2_27_x86_64.whl
Size 272.2 MB
Tags CPython 3.13 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
4e27562ee921b44e314a3e9180bb0ca75d703e88ad3832ee85768f6fcd944412
BLAKE2b-256 checksum
How to use checksums
116a170144cb8f06caadd64b5831154ca64efa7a81996c0fe57496d54561f58b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly_tpu-2.21.0.dev20251107-cp312-cp312-manylinux_2_27_x86_64.whl

Download URL tf_nightly_tpu-2.21.0.dev20251107-cp312-cp312-manylinux_2_27_x86_64.whl
Size 271.9 MB
Tags CPython 3.12 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
9013c3edd3e442b7e51192ac4e48761e98a51d83c3de058203ee5feacf4beddf
BLAKE2b-256 checksum
How to use checksums
690226a9bb3aaf2eaeabf3ee8408df553faad3bff4a2128446f4eaeb1fcdd59f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly_tpu-2.21.0.dev20251107-cp311-cp311-manylinux_2_27_x86_64.whl

Download URL tf_nightly_tpu-2.21.0.dev20251107-cp311-cp311-manylinux_2_27_x86_64.whl
Size 271.7 MB
Tags CPython 3.11 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
556cd5adc20a7a9af0232185ec35f87e8c36c74fbca6f81085eced0c1d764ff5
BLAKE2b-256 checksum
How to use checksums
a1486f12d8dae4fcb6f4e7a39791a87d21b4cc5fa39a9a86ae64fce76242f657
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly_tpu-2.21.0.dev20251107-cp310-cp310-manylinux_2_27_x86_64.whl

Download URL tf_nightly_tpu-2.21.0.dev20251107-cp310-cp310-manylinux_2_27_x86_64.whl
Size 271.5 MB
Tags CPython 3.10 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
7c6de64bc0ac15c5beb49da311c14c24775799367e7100b91c4b231be6dff844
BLAKE2b-256 checksum
How to use checksums
92e7fa3f9d1b172974d2e705394bb810300c94b0fca13419ec9eca44dfc4b3e6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly_tpu-2.21.0.dev20251107-cp39-cp39-manylinux_2_27_x86_64.whl

Download URL tf_nightly_tpu-2.21.0.dev20251107-cp39-cp39-manylinux_2_27_x86_64.whl
Size 271.5 MB
Tags CPython 3.9 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
d2eec767023f2d93778df0d271fd55806a8afef5aaac0394bb310fcaaa0e24e2
BLAKE2b-256 checksum
How to use checksums
75d528d8a558da6c725c88b15ae89714daf3da896553220fe416979c40c103c2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Security for tf-nightly-tpu 2.21.0.dev20251107

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page