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 2.4.0b20230726

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 2.4.0b20230726
File Actions
bigdl_nano-2.4.0b20230726-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230726-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230726-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230726-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230726-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230726-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230726-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230726-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230726-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230726-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
7a0315b18431ff74923206f7deb85c30f362a35cdb5ec80f0277f62a514bb3fb
BLAKE2b-256 checksum
How to use checksums
9d7666b235a2916888effcbed13dea92ac298c23acb9552fd82ad8e905977054
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-2.4.0b20230726-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230726-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
0338532cfdb3813a0b21eadaece34e857dcbbda0e2835bce7cb5349b0d4ec75a
BLAKE2b-256 checksum
How to use checksums
612e5070499406c806db67d8dca7858779fa70cacca206d7461652103a1b3a9b
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-2.4.0b20230726-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230726-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
7ed3adff8fbb7cc502f9d24fb311ae3deb03be2024f81d1b55a8e99f158a0e0a
BLAKE2b-256 checksum
How to use checksums
4b85f7876233597f70345c0ddb72df826b440dd2cc9da4807057ef67dc27f048
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-2.4.0b20230726-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230726-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
da64e5ac6b203da32100d374b49276e89d0d69c9965e89bec0e70ddcbba2b30c
BLAKE2b-256 checksum
How to use checksums
e80a46660db961efe34fe90820a1e1e1dbcf40d07b5d14676a5bedcb5a30838e
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 2.4.0b20230726

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