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 2.2.0b20230110

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 2.2.0b20230110
File Actions
bigdl_nano-2.2.0b20230110-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20230110-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20230110-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20230110-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20230110-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.2.0b20230110-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.2.0b20230110-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20230110-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.8 MB

Release files / bigdl_nano-2.2.0b20230110-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20230110-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
554867e5ba8f4b7b1e295fe36e0fd593da0cae6649ac5bf710a5a14a6b71c24a
BLAKE2b-256 checksum
How to use checksums
aeb6a11c3f8e0f2288299e2f9031625af9576e90494caa54e22b6430309aa96b
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-2.2.0b20230110-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20230110-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
d8ecde9915c5bc5b6e3da9580a350b3ed988c5afcf1d2dafe8ca1077700842d9
BLAKE2b-256 checksum
How to use checksums
e66b62569ba4b63d8ae61a4886d3776b8b99c17c5016fbb7b012d5502cfa9e6f
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-2.2.0b20230110-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.2.0b20230110-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
b788c52159028cbc79810890ce291233685b5e4c38ded55c256abfa89c64b739
BLAKE2b-256 checksum
How to use checksums
124c1b62bae5fad471e35b54b96ee2fe38095633ec3d03a8cf5b4ccd733c1405
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-2.2.0b20230110-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20230110-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
194f058b78fd7804c388b24e86cca1fc8bb006cdb562c9afbe6342dbb23ae84a
BLAKE2b-256 checksum
How to use checksums
b8eb2840159044b05e7fdebeb5c3472f175c898fa94421b9766ad212830fc2d9
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 2.2.0b20230110

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