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 2.5.0b20231216

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 2.5.0b20231216
File Actions
bigdl_nano-2.5.0b20231216-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20231216-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20231216-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20231216-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20231216-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20231216-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20231216-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20231216-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20231216-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20231216-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
398b6655017acc11b00945d28fc66d01eb0fcf8f69cb080c6baac79e1ad22a78
BLAKE2b-256 checksum
How to use checksums
07b9a1572f0d277dd9b4dfe58831c55c75a6584911492be4ac293c92007b722e
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-2.5.0b20231216-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20231216-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
595e8f12a31b42fc757e26407668656c76fee8b889d1ab0fd924b57a11993d15
BLAKE2b-256 checksum
How to use checksums
2b2a48b1b090ce42512e2593df0057e2604fe6730782b6973e2e626a92242dd1
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-2.5.0b20231216-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20231216-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
471df9cb8b7d4bf3fdd8477d19f30c41f8e0d42bb23efa5c8ecb9c8fce9fb5de
BLAKE2b-256 checksum
How to use checksums
38216df66e6db014a69f3ca6697a54cf108539c4a330cc4c1204279de195aae6
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-2.5.0b20231216-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20231216-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
93b8c3a6aaa03e466f35cb4d105ce4a9fe79ed7242a3af9f2653712d9a40f6df
BLAKE2b-256 checksum
How to use checksums
5648b98387876e76dcf6f986b7123127e0d60e7afdcd88f5569d2c2ea8df9ac7
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 2.5.0b20231216

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