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 2.2.0b20221011

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 2.2.0b20221011
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221011-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221011-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221011-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221011-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221011-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221011-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.7 MB

Release files / bigdl_nano-2.2.0b20221011-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221011-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
6b6164e7c029de7b922ef0e7901daa95357c8fef7aaf6d5e0fef3eb10a4eb302
BLAKE2b-256 checksum
How to use checksums
d9794efbd7b8edbe23eaedfd2215cd5c28534c5c5ecd10b2437abb944bb057e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.2.0b20221011-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221011-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
43ab96b99c8259d599ad89970eb9eb4160a42982a901470d55edcf54206e3b9b
BLAKE2b-256 checksum
How to use checksums
d2020f78bafb67ce6a95ee7162ea442132100067150abb926190bd622d9e5ea6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.2.0b20221011-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221011-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
e040be62b3d42e513739862e29c38e6ec8fc2e936a91da2b9cc2678f98ff543a
BLAKE2b-256 checksum
How to use checksums
c4aeddf75cbf5f0273267134f115339d32f447df667fd66ceee6161842333cd1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for bigdl-nano 2.2.0b20221011

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