Skip to main content
Pre-release

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

TensorFlow Recommenders Addons are a collection of projects related to large-scale recommendation systems built upon TensorFlow. They are contributed and maintained by the community. Those contributions will be complementary to TensorFlow Core and TensorFlow Recommenders etc.

Metadata

Release files for tfra-nightly-gpu 0.6.1.dev20240306145426

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 tfra-nightly-gpu 0.6.1.dev20240306145426
File Interpreter ABI Platform
tfra_nightly_gpu-0.6.1.dev20240306145426-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.12+ x86-64, Linux glibc 2.17+ x86-64 Details
tfra_nightly_gpu-0.6.1.dev20240306145426-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.12+ x86-64, Linux glibc 2.17+ x86-64 Details
tfra_nightly_gpu-0.6.1.dev20240306145426-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64, Linux glibc 2.17+ x86-64 Details

Total release size: 103.0 MB

Release files / tfra_nightly_gpu-0.6.1.dev20240306145426-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly_gpu-0.6.1.dev20240306145426-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 34.3 MB
Tags CPython 3.11 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
56b660357bf9a23bc0025513eb47d6bd949b652d998b7643682386b8e78d86a4
BLAKE2b-256 checksum
How to use checksums
46a228a647c8279606c07f6d67e503230c55f40a8d230eff37760263785771fb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly_gpu-0.6.1.dev20240306145426-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly_gpu-0.6.1.dev20240306145426-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 34.3 MB
Tags CPython 3.10 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
57fd06ded19fe17355ba354f6d00ec55aae22404ca147f78012938b01e2e8e29
BLAKE2b-256 checksum
How to use checksums
dae8279f2f6864d242c64427093e8c18f54518692efaecb8af0c54e7a09369ec
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfra_nightly_gpu-0.6.1.dev20240306145426-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfra_nightly_gpu-0.6.1.dev20240306145426-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 34.3 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
404ff56ab85d7bf92cf0783b4bcdf29dcb0a25ce67c8f24a9bb5aafa7bb6a7ee
BLAKE2b-256 checksum
How to use checksums
ebad23571aefd95e1649f3c25a8f2ef67e20d868185f8d5b6b4468d442597fd2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Security for tfra-nightly-gpu 0.6.1.dev20240306145426

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.

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