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 2.2.0b20221012

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 2.2.0b20221012
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221012-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221012-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221012-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221012-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221012-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221012-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.7 MB

Release files / bigdl_nano-2.2.0b20221012-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221012-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
9edec387ac0386384c3ffc2b0de30da505b3f0519239b001f797e222a3794ef3
BLAKE2b-256 checksum
How to use checksums
0a17b90b5b6e83c716c096a8d0ad7d3454d25ab6cff835c080d978faf5d0c86e
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-2.2.0b20221012-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221012-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
2bcbc58e813a43883b1d27c1e7ba5a9d6d8ca83a835afe5643bf5e1b42053cf1
BLAKE2b-256 checksum
How to use checksums
c4e4b56ead3a843724f7849bb77250ca737be9156051d39bb02ddf66ba298186
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-2.2.0b20221012-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221012-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
b9bff87dd337b99c8392859bd7d3c97aa500d53e96b8a9e95adcb6531791d12a
BLAKE2b-256 checksum
How to use checksums
e6163c96b4d506388d8ea5bc02688cba621da7af25081383b6c65d77546b6d66
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 2.2.0b20221012

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