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 2.5.0b20240105

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 2.5.0b20240105
File Actions
bigdl_nano-2.5.0b20240105-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20240105-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20240105-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20240105-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20240105-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20240105-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20240105-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20240105-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20240105-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20240105-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
76c5bec3470a99fa6d87f20fe2830351630b5649e8d5a4ee0a05ceea728c936d
BLAKE2b-256 checksum
How to use checksums
e9c93aa1f3d03fc7d8260009bffdc3c785cf4e1992c8a98b6888b09fabc16cde
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-2.5.0b20240105-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20240105-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
5040bc9f4ae8effb9798695ab9494731f73288d6456f79d2976278eca99b50f1
BLAKE2b-256 checksum
How to use checksums
8dab3e2319e08c7607fc26d528902180258e689d82a30c33494df844c071dd44
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-2.5.0b20240105-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20240105-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
eefee5731f4efca6785abecf1c4b21a9c29f594bbcbe0cecf0f16f7d1a585c26
BLAKE2b-256 checksum
How to use checksums
c9b68c4d69da91a30e7b2be51a7a4ff8eaa7145e42a47850d5ea68454a31aaa8
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-2.5.0b20240105-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20240105-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
62346865c03afd33fce534897e606db3e239f2c6bdea2001394b39057d5ed913
BLAKE2b-256 checksum
How to use checksums
afa3323e3f65b617a1c7bcb3a3b72910561818e9691a3d771a35c7efbea54647
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 2.5.0b20240105

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