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 2.4.0b20230716

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 2.4.0b20230716
File Actions
bigdl_nano-2.4.0b20230716-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230716-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230716-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230716-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230716-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230716-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230716-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230716-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230716-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230716-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
e7bea15579bb65c0bec2817426c9c44415e1bdc5114f93fe5b34d4545b80fbc0
BLAKE2b-256 checksum
How to use checksums
8acf6df5fb8d7b9e3fdaadf8f93f28607d62ad94e9e7ffddc45fb7608d1ea104
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-2.4.0b20230716-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230716-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
08d05b55b12fb9b4a8b1aa71afbe9ff006b58f4ef9e3bb4909518567596a6f20
BLAKE2b-256 checksum
How to use checksums
89a3ca2ba16c2511af74f2a6b9e5870a19f57b3749742f680458b6d238dbac91
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-2.4.0b20230716-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230716-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
85267ab3ef1bc81399df2bb0daa65a7b18fcde7486db93c6bf5433dc7bff4190
BLAKE2b-256 checksum
How to use checksums
321544ac0f35b038a8d2ec6db11c05f6e467a6e991f6c21344d6299fd59d2d4d
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-2.4.0b20230716-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230716-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
69034c9f59c6d56d61d025ebbe7981fbdbf76b7e71cbb77f0d16752ab326d33c
BLAKE2b-256 checksum
How to use checksums
f0f51a1c14331f61316fb0ad7ff6346f6660e0385a7caa95b6723ce6f152b554
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 2.4.0b20230716

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