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 2.4.0b20231020

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 2.4.0b20231020
File Actions
bigdl_nano-2.4.0b20231020-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20231020-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20231020-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20231020-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20231020-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20231020-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20231020-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20231020-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20231020-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20231020-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
27736d8923aa0db2c360cee29b507e30110838bd9e6c529da776560276d54aac
BLAKE2b-256 checksum
How to use checksums
87acbc7a1337d390f88c4a91d9d851e22e2d7caf5026e1637c6c270fdecd8cfa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.4.0b20231020-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20231020-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
be44c7b1c2ceda4fee822da54d8eebf7d46733dcabb61807e8ac69345d544d21
BLAKE2b-256 checksum
How to use checksums
65a591696e79ffe51514c74eeb9a7fc96c8a38b97d44d8a2cc72124714792fe1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.4.0b20231020-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20231020-py3-none-macosx_11_0_arm64.whl
Size 2.9 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
c8f40908cacd727bb6d38f465117d29983be6426e44ad7725936af09de908fca
BLAKE2b-256 checksum
How to use checksums
7370c16090fa0564000189b6e20c427a796218bdc31fda42afddaf7e3707a19a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.4.0b20231020-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20231020-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
9e777df759ed815c235410e045c3c5855180420aaae5b1737331bceb1e3f8f83
BLAKE2b-256 checksum
How to use checksums
49f463cb367926e05ee2414530571dadce5552ae564495f13ec8d846b7535389
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Security for bigdl-nano 2.4.0b20231020

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