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 2.5.0b20240116

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 2.5.0b20240116
File Actions
bigdl_nano-2.5.0b20240116-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20240116-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20240116-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20240116-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20240116-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20240116-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20240116-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20240116-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20240116-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20240116-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
a2a0fb1a128caaa7e62adfa4289289181c141c35876d44152cb826145cf8eb5d
BLAKE2b-256 checksum
How to use checksums
f2e04b24a6f4cfbb1ba8b5b776dc74043f7899a68dd014809047e8a75ab55c85
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-2.5.0b20240116-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20240116-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
8b12825dd34d19da09993d31b5dd754f4935eda8e9cccfed21cc26ae91dacd45
BLAKE2b-256 checksum
How to use checksums
80decb3a19d60742bef74812892a1cf13dac66b21e342c14e90e6bb8516a7f2b
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-2.5.0b20240116-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20240116-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
2691b49f9d237bb3666d063994e0e1fdd57835e0cc3204d1d1859e7c610973b5
BLAKE2b-256 checksum
How to use checksums
90f4a36c2b3a9608255697220f01dc3c2acce1a9861684431134693cf000dda6
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-2.5.0b20240116-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20240116-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
4ee5e69e0aa8a44b51b65fe09a222d45b42b16e7ef6305c35d2a623d3d9b97a6
BLAKE2b-256 checksum
How to use checksums
6e391c2b5c6a601e3b2a0ca4d28a404f7278bf91d7fa91bc8096d14c9e54bb95
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 2.5.0b20240116

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