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 2.2.0b20221120

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 2.2.0b20221120
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221120-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221120-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221120-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221120-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221120-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221120-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.8 MB

Release files / bigdl_nano-2.2.0b20221120-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221120-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
20b717ab2a33e70bbc996682fde783bcdc2a015b5d369b767192df96adfad393
BLAKE2b-256 checksum
How to use checksums
a5964d140be54435f50657d8746fd44b63bcf3cc7e2f182f5b864c94403abd09
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-2.2.0b20221120-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221120-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
e920ffcf88743e84a89381b93cb17b082d6d584e8fa1a4d2b0d3c7f24d23f453
BLAKE2b-256 checksum
How to use checksums
3686359afaa70d60fc15e16df17e12c77728e49bf829f2765234a9d2900ce35e
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-2.2.0b20221120-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221120-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
49312cb664685fb9d372bb8937f0ffa739c8ecb3463a529c6f857759b342b666
BLAKE2b-256 checksum
How to use checksums
abcd1a60870c2ddb38326af2feb81ac6bfdc178944c154f95101f7e7cf3df6aa
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 2.2.0b20221120

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