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 2.2.0b20221031

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 2.2.0b20221031
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221031-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221031-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221031-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221031-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221031-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221031-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.7 MB

Release files / bigdl_nano-2.2.0b20221031-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221031-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
0dcca415bf84278f98eb06440163c684662047856f4af615bfeb6976f1443ee6
BLAKE2b-256 checksum
How to use checksums
d57036dd8c98e314e5baff7c07d3f3e6b032591c1e4a5af5e11100161120b1a5
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-2.2.0b20221031-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221031-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
e5498e36c47e78c3e0bc4a2008cc2d63cfe3f8366ba762a52b5d1356ed074187
BLAKE2b-256 checksum
How to use checksums
2006833bc68035dc48f4f151debb7ffdd73a2cb10f994f378031d481ebd8fb1c
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-2.2.0b20221031-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221031-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
eb277728c5e7340cecb71779ff90733ab723f2fd8fbbdd315ffb9b3e782c285b
BLAKE2b-256 checksum
How to use checksums
22ca87aad59cf4478f9d00a7f5a6bf736a27b820449986337cf30a3c21541a20
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 2.2.0b20221031

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