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 2.2.0b20221116

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 2.2.0b20221116
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221116-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221116-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221116-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221116-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221116-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221116-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.8 MB

Release files / bigdl_nano-2.2.0b20221116-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221116-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
4f234f8dd1697077f48829696470ede5b49a3d72dc66f09fed2da7ba410320c4
BLAKE2b-256 checksum
How to use checksums
d6abaf513bd4435643c9e0d250abd09e49f926de2ae1237500f21ef1be979d58
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-2.2.0b20221116-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221116-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
b1e43067728a21046e0278ec3ea43f7c400cbde6065574c701f93e223d7debb8
BLAKE2b-256 checksum
How to use checksums
dd2f278dbe59eb97d5eb88bb76fa1807a7cb63d123c9bc0a651ba7863f903fc2
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-2.2.0b20221116-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221116-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
6928c1ac93ba32dc0d176b90784fd19247fe9a06dd6751c7cf050dfeb6144345
BLAKE2b-256 checksum
How to use checksums
82cba9042e9836775aed85f92354ed11cfb81842c10439199e554e157b93ede9
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 2.2.0b20221116

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