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 2.2.0b20221111

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 2.2.0b20221111
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221111-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221111-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221111-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221111-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221111-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221111-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.8 MB

Release files / bigdl_nano-2.2.0b20221111-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221111-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
e8eba7a2d8984df4326458f0e97175a9692c9f5f79d79fe2db1e3b263de7ac22
BLAKE2b-256 checksum
How to use checksums
3c9d43e381114c97f74adafb86946c37e27e7ad978bb7e898741e4f65b49b018
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-2.2.0b20221111-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221111-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
5404a059c4c250b0cac0a8e6092acc3dc8894a0d9e8c09d8c464352f5643c002
BLAKE2b-256 checksum
How to use checksums
571d467529388cd4fb6582dcdbec3638e688263cda27992e1de440ea840a8a46
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-2.2.0b20221111-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221111-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
6ceca09171d6efd4bdde35dbcd2aa949c2c690159f5cde7cd537683d4eb4e93b
BLAKE2b-256 checksum
How to use checksums
47244eabfbda1062630dfd9d76e8dd7b6a78b4336983a83bf3f30471c4661fd3
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 2.2.0b20221111

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