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 2.2.0b20221013

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 2.2.0b20221013
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221013-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221013-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221013-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221013-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221013-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221013-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.7 MB

Release files / bigdl_nano-2.2.0b20221013-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221013-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
ad878e3e6f9b84ccaa6541c9efacdb4ba0c92ee0293ae8203fc6c46bb3b9dfb4
BLAKE2b-256 checksum
How to use checksums
ff0e3d30692d11d8f06b73fbc56ce6c5d7388b902640fba237423347a0422487
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.2.0b20221013-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221013-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
c5d44486ce9de1a59a1d1d4f2c2aff5b13555df34a38376857f063cfb74f7114
BLAKE2b-256 checksum
How to use checksums
ea61ccd16f6d62f748f4ee26413d8dbe5806158e68cee8028203e41f1d73164b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.2.0b20221013-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221013-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
6aa0b8962cff663c0e5ea3bed4d6ecf31f7025c8c05c2cf29f433cd8888923db
BLAKE2b-256 checksum
How to use checksums
9ca3cb6fb5e5c32e9a9db5de2d0b2087f05209fff1c14ff6415792f02de40746
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for bigdl-nano 2.2.0b20221013

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