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 2.3.0b20230304

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 2.3.0b20230304
File Actions
bigdl_nano-2.3.0b20230304-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230304-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230304-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230304-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230304-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230304-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230304-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230304-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.9 MB

Release files / bigdl_nano-2.3.0b20230304-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230304-py3-none-win_amd64.whl
Size 3.0 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
34c0f03a49cd8995659db99d709f09b9e0acef6f1e37c48a82d53ca86203d355
BLAKE2b-256 checksum
How to use checksums
8adff3ecd977ca4a8fadbb0a39b8d7508d1daf67d1e8782ad8f56ac49c1685b3
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-2.3.0b20230304-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230304-py3-none-manylinux2010_x86_64.whl
Size 3.0 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
115b4cbefcf03e6142d053bc9bb5e18043d9efb320933d582c2582bcc2ed55f8
BLAKE2b-256 checksum
How to use checksums
545f0fe554d1becf6bfffea20d18bddbafd4825170425b61e0dd292f063210f8
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-2.3.0b20230304-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230304-py3-none-macosx_11_0_arm64.whl
Size 3.0 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
47e9f42b1ad42ccb6ea9a9a6906821d68c476afb73037437a058f035957002ee
BLAKE2b-256 checksum
How to use checksums
fa4f9919db6e6e336e7c487baf1b9f0164f9bb9522d0c2da7f6853e1fd9c1c50
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-2.3.0b20230304-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230304-py3-none-macosx_10_11_x86_64.whl
Size 3.0 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
cba559c40ab64df60a46f5cfcee6f844e415bb52415176cce0517a31bf47e21f
BLAKE2b-256 checksum
How to use checksums
3683cc736c083b6cf21e0524fc719283c8c0b928c2a8cda96aea8bb0319b58da
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 2.3.0b20230304

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