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 2.2.0b20221119

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 2.2.0b20221119
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221119-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221119-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221119-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221119-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221119-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221119-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.8 MB

Release files / bigdl_nano-2.2.0b20221119-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221119-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
fd27e53f74aeea9811f4d07d97ec9c0409132acaf261dd62046667a408951018
BLAKE2b-256 checksum
How to use checksums
84e8166f318306c023d690096c683ac89ab6124a310a91019e51f6a8bae5769a
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-2.2.0b20221119-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221119-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
41158dcbf35338172cbdb2c609d7bc5cd1553bb1b66bdf775f87015a20218fd5
BLAKE2b-256 checksum
How to use checksums
efd74ee4e3957a43562d01aa217a51b5c0a29f13c0ef8291063a2eb3508b9118
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-2.2.0b20221119-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221119-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
5125905b21f50d59e01adc843f966989e5d5723b24f77ee5df514a2066b1f80e
BLAKE2b-256 checksum
How to use checksums
553425b1fb8c1c21ead5399e9ee44f32de5d085b4e49f5533ab8c0a77403ee2c
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 2.2.0b20221119

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