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 2.4.0b20230811

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 2.4.0b20230811
File Actions
bigdl_nano-2.4.0b20230811-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230811-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230811-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230811-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230811-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230811-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230811-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230811-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230811-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230811-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
773a3b390c7a7c0fd251e84a1a5f354dc80ace286cb609f7cf265c5e64a921a8
BLAKE2b-256 checksum
How to use checksums
67e29edc2330535eca5610fc857c92d2a76769373373aa226bda864e0c018328
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-2.4.0b20230811-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230811-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
2cd473439067a0c5252e4b740c908142b8176f473fbca391e86bc31fcae7dd00
BLAKE2b-256 checksum
How to use checksums
11bfaef2155403e368ddc9b5c962cd7c4579d81477e87f4d7456086492cae0f5
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-2.4.0b20230811-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230811-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
71cc30a74ea2c14596361654ba8985586f75df385f7b2638cd3fd5e282224eeb
BLAKE2b-256 checksum
How to use checksums
3ea7988df0d8ccbddcad1602e07b5d0efee2881d05d61524c014a5d7c8fae6b5
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-2.4.0b20230811-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230811-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
2cd6660381c1731ad0b5c1cc16a0da017c2c9c9e178ea2f39189524bd3fe34bb
BLAKE2b-256 checksum
How to use checksums
a8275e5d20f4482a55ce45297abcda57fdd3a5a1fa9d68f0e30304edaff694f3
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 2.4.0b20230811

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