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 2.2.0b20221211

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 2.2.0b20221211
File Actions
bigdl_nano-2.2.0b20221211-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221211-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221211-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221211-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221211-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.2.0b20221211-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.2.0b20221211-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221211-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.7 MB

Release files / bigdl_nano-2.2.0b20221211-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221211-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
cc72fdd91a8293deaca1a9f1fbbf02b1dbb11817832091d24dad46fa31e2156c
BLAKE2b-256 checksum
How to use checksums
e864ceaa1c5bfc946bda63f34b9f8cd2fdcc285886a6859565a1d06565f3f151
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-2.2.0b20221211-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221211-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
d502899471459e76d713cfebbe5cfa43ec1b7db763f5cd7d536521131023189d
BLAKE2b-256 checksum
How to use checksums
63e8abb00534ee560006d67800070fc2dc21f97933761f6f97e7de592d326da7
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-2.2.0b20221211-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.2.0b20221211-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
7734fa2a5178ea3c6635ea41b180c776fd5163cafb311a391fb8df1163c94d19
BLAKE2b-256 checksum
How to use checksums
acdcc24705df164bc7b59fd37b60f2a1c3a9d829446b5ce3ab99222ae0548344
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-2.2.0b20221211-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221211-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
33ddb519007866c666783f5c178c1c9f952221b4923808519e61e92e27015a2d
BLAKE2b-256 checksum
How to use checksums
aefacdf32e17ba4be62c045bce49683a99c3cb1dd5d1f9d78eaaf72efd67a011
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 2.2.0b20221211

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