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 2.4.0b20230825

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 2.4.0b20230825
File Actions
bigdl_nano-2.4.0b20230825-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230825-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230825-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230825-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230825-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230825-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230825-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230825-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230825-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230825-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
84036c72addef93e0e86e5e49227873b228798d3f20e41cdc1eb97ab70e4e429
BLAKE2b-256 checksum
How to use checksums
4e29158109a521c9b10ce7ca1ddddbb43538f3143f45a2a5f473e67218905978
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-2.4.0b20230825-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230825-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
aae25e8af12627113756891db44b153c65532cb49680d70612ea36ee9374d08d
BLAKE2b-256 checksum
How to use checksums
47840285982ab1fb2c578488578b0f940ebffb7348316694e1f24b88303bdfb0
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-2.4.0b20230825-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230825-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
01001018ac0b68b4947569c62a182a6acbc1ee62d930082f6e5f5cceb8295ba5
BLAKE2b-256 checksum
How to use checksums
44658f198550d87f4e518e73624010ef6debc5e381513a538e06249ed1460793
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-2.4.0b20230825-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230825-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
99e47babbda7ac611a80f68b238ce5a59db81fd239f84bfe4f0927dbad0c0066
BLAKE2b-256 checksum
How to use checksums
f2e154e60fd4628433ef2c06491d5437f4f73918b81e3740544c9f2b6e172cd8
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 2.4.0b20230825

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