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 2.5.0b20231217

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 2.5.0b20231217
File Actions
bigdl_nano-2.5.0b20231217-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20231217-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20231217-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20231217-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20231217-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20231217-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20231217-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20231217-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20231217-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20231217-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
633e37b7463358876a74cc52948659aa8b83c080478a7490000e5f1b60602dfa
BLAKE2b-256 checksum
How to use checksums
1e0f1f0557568d11e02c74b4e3fcd75da0e695549334f6e0a259044e85db1472
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-2.5.0b20231217-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20231217-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
786b91b0f083ef2da3fbb90409cba1321ac46765bd2cd65efd77a5b5e1258324
BLAKE2b-256 checksum
How to use checksums
fb79d47285a3dcf1c829a17c3c71915a8130b32a63ad54841c3a20c26ba58a14
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-2.5.0b20231217-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20231217-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
c478e2bdaf8f4a362ce16d50084b14e22dc58ca33b8db6fcd171bbb9dc0d1116
BLAKE2b-256 checksum
How to use checksums
ab3c5ec44787e7467415bb9a225f82f9b6f5877114883717c0b916f79958d823
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-2.5.0b20231217-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20231217-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
94a9d4bd2a814e5fbc875a1485021a39ea41b2dbfcff92e2e621a8bb6031fa4f
BLAKE2b-256 checksum
How to use checksums
4a3397e3f1a36964f417284c20162bf21b1da2259b03f598de0ad2ae4a55db5d
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 2.5.0b20231217

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