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 2.3.0b20230312

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 2.3.0b20230312
File Actions
bigdl_nano-2.3.0b20230312-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230312-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230312-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230312-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230312-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230312-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230312-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230312-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.9 MB

Release files / bigdl_nano-2.3.0b20230312-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230312-py3-none-win_amd64.whl
Size 3.0 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
6b66e096f12f6a67e461703b6e9bd602d57f9a611be673af7e5291c1c426f2e5
BLAKE2b-256 checksum
How to use checksums
a07ec4e6cdd919a9e8b60e84c9a785b396472b7b8df3af8e31f208e395611880
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-2.3.0b20230312-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230312-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
4b44baf00e0175e487e0e2109ddf299d9bfe776cd21a25f9a112e38af5bbfda9
BLAKE2b-256 checksum
How to use checksums
367bf4708f95a966436de0963b9a80401fc5567ec06b47c799074e88865aece3
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-2.3.0b20230312-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230312-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
69494e2ee8198ffeaba786fa83f7e36f94ffda30d9798e3ffc332724e80bd473
BLAKE2b-256 checksum
How to use checksums
a34ef4e9a9368aef28b40bd0551204129df257013dc5ced0760a8cf4e795992b
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-2.3.0b20230312-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230312-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
823eccf2e359b6d959203bbc530d414ee549f83c4ec809c67630a38206191884
BLAKE2b-256 checksum
How to use checksums
3795433538591907f9911e0e2d9d75ce41d6e1d12ba81d69864054be3044aa31
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 2.3.0b20230312

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