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 2.4.0b20230802

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 2.4.0b20230802
File Actions
bigdl_nano-2.4.0b20230802-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230802-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230802-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230802-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230802-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230802-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230802-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230802-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230802-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230802-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
2a973f4299268548905fb29e983a6fb6d6883c2f2e188c14469a33b00dc05fdd
BLAKE2b-256 checksum
How to use checksums
b417af6494bc78efc3f68915aae785314c5f015a25eb60d918b6edeb7dc718f3
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-2.4.0b20230802-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230802-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
36c03a97a37ca8ccbea9a1bb1f68e020a4151fc977c742892d11e0669cb3a93c
BLAKE2b-256 checksum
How to use checksums
838bc1e40adcc03758d70309b2cb737713149e802da27f7ac37af2411409430d
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-2.4.0b20230802-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230802-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
4693312c3c99a9f19ac454daf3a577880e91376a2e4f11823da1fb482575adc5
BLAKE2b-256 checksum
How to use checksums
1ad7ab553396aeb1c9e324684cab0cc1edc28bca4e71a6bae3652185b0d577c9
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-2.4.0b20230802-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230802-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
bc639d0799a61832d14e611890e2a19c288a5e651dcf3d34f034b3925dfc7ecd
BLAKE2b-256 checksum
How to use checksums
8507cf8cf08db1391f471462beefc722b63888fa5823db5b1d6c1cd0a5c6120b
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 2.4.0b20230802

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