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.

Metadata

Release files for tf-nightly-cpu-aws 2.11.0.dev20220814

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-cpu-aws 2.11.0.dev20220814
File Actions
tf_nightly_cpu_aws-2.11.0.dev20220814-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details for tf_nightly_cpu_aws-2.11.0.dev20220814-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
tf_nightly_cpu_aws-2.11.0.dev20220814-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details for tf_nightly_cpu_aws-2.11.0.dev20220814-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
tf_nightly_cpu_aws-2.11.0.dev20220814-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details for tf_nightly_cpu_aws-2.11.0.dev20220814-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
tf_nightly_cpu_aws-2.11.0.dev20220814-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 Details for tf_nightly_cpu_aws-2.11.0.dev20220814-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Total release size: 858.9 MB

Release files / tf_nightly_cpu_aws-2.11.0.dev20220814-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL tf_nightly_cpu_aws-2.11.0.dev20220814-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 214.7 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
cea796d409271b98f6dd2f1baf91993587d302f0b403d531b402d8ef8aa07e9c
BLAKE2b-256 checksum
How to use checksums
a94a5e2be907391bdfb44537026def1d456a52e580276ac192f61a8c76d643b8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.8.10

Release files / tf_nightly_cpu_aws-2.11.0.dev20220814-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL tf_nightly_cpu_aws-2.11.0.dev20220814-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 214.7 MB
Tags CPython 3.9 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
e34ac6f8c92ba362e644ab752db85a6443e7791fc5c3c2adfad4c3a16ffa3857
BLAKE2b-256 checksum
How to use checksums
a2c363efa97143e1541bf3094b08a72683dd91b236ce42ed743e0388b219801c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.8.10

Release files / tf_nightly_cpu_aws-2.11.0.dev20220814-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL tf_nightly_cpu_aws-2.11.0.dev20220814-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 214.7 MB
Tags CPython 3.8 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
cfa820f0a9e5175c69ac1cc1b0d87716122bae60a947b2e71687390c71659e37
BLAKE2b-256 checksum
How to use checksums
135c2f76fed937cc23006168c9220deac2b2e9f0d97d48590ee7bf69f9d3e57d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.8.10

Release files / tf_nightly_cpu_aws-2.11.0.dev20220814-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL tf_nightly_cpu_aws-2.11.0.dev20220814-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 214.8 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
09e46b617cebfd65e64505fbab7a162d7fb12ded8aac04084862c3299be7ac7f
BLAKE2b-256 checksum
How to use checksums
5731e65327dfd46da2caa102bf014891c4b86a996f617df0d56da920a2fdb04f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.8.10

Security for tf-nightly-cpu-aws 2.11.0.dev20220814

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