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 2.2.0b20230105

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 2.2.0b20230105
File Actions
bigdl_nano-2.2.0b20230105-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20230105-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20230105-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20230105-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20230105-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.2.0b20230105-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.2.0b20230105-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20230105-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.8 MB

Release files / bigdl_nano-2.2.0b20230105-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20230105-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
b2710e526253cdbbdc859b5c7266ba253715179127e56350eb737f0b95ed5e9a
BLAKE2b-256 checksum
How to use checksums
671c812bf56038713e7b52e17ec5b7ccb3114746221dcfa68dc2898432475fe9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20230105-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20230105-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
e7e18facdad5c8b723861b6381c408db78d0ec32da677492c1e9bd3da86ebdb6
BLAKE2b-256 checksum
How to use checksums
423824a6daed2b1d4b30facbf83ccad2b57ac262cd15d1dec977bbcceefe3176
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20230105-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.2.0b20230105-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
ec4ceae3c93e55569ebd6f934f87701f2d5cb35dfc19bb788d0140e5b4db65d3
BLAKE2b-256 checksum
How to use checksums
70102e13d750a514dffc89170dba2801baf641f6230998572b91c2da4a089908
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20230105-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20230105-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
9b637e8e05275e0c6731ba02b7c57b58c47c7ef65c8d238c5050d08f1024495a
BLAKE2b-256 checksum
How to use checksums
eeea545a1f95d99e30da06bcb63800d4fbeb6c1d73a1b2681901981195b0d94c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-nano 2.2.0b20230105

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