Skip to main content
Pre-release

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

BigDL Nano automatically accelerates TensorFlow and PyTorch pipelines by applying modern CPU optimizations.

See here for more information.

Metadata

Release files for bigdl-nano 2.2.0b20221122

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 bigdl-nano 2.2.0b20221122
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221122-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221122-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221122-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221122-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221122-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221122-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.8 MB

Release files / bigdl_nano-2.2.0b20221122-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221122-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
22f5194645264449e640702ef0213f455ae6a837de10a13375b6a53142ec03e4
BLAKE2b-256 checksum
How to use checksums
312069bfd27794029ea1c52157761d031bf1360bb350681fd5518e73d835ff78
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20221122-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221122-py3-none-manylinux2010_x86_64.whl
Size 2.9 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
a12ee3f8244662aa114c45621cdb3f75598c84752e37fc013213bc69bb69d7bc
BLAKE2b-256 checksum
How to use checksums
e2f413cc1691b1468072b4e153c4ba4eeffc62251220ecc2e4c8ceb43348a003
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20221122-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221122-py3-none-macosx_10_11_x86_64.whl
Size 2.9 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
02ff84ceea39c6b068c212f9e693a9f2e132b046981392b715f084e4b5220eb2
BLAKE2b-256 checksum
How to use checksums
fb69e09e94a70a70d991e0c5bbf3b9ecedd0aaae4f44aa9ad9206f43b8d789f1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-nano 2.2.0b20221122

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