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 2.2.0b20221019

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 2.2.0b20221019
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221019-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221019-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221019-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221019-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221019-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221019-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.7 MB

Release files / bigdl_nano-2.2.0b20221019-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221019-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
4ec8a4739ad258ff3ebe26cfc45c99135f625464f9f86715883bf7289f11c3a5
BLAKE2b-256 checksum
How to use checksums
93369a6edc1e751a5a749496b4efed10c50a9ec8d39d31609fd0a84757ef2cca
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-2.2.0b20221019-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221019-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
4cc53772046b6c282eb2b9264c32e1e8958cca97e82dae9b91d2603801a98394
BLAKE2b-256 checksum
How to use checksums
41134726310957a2fc7a1d09e998126b4adcea78e3967d91f4f5bc93bb30f0b2
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-2.2.0b20221019-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221019-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
85bc9ee09f0190177aeb20713bc09f2bb7cc55c2dc486727965bbe8645e7ff67
BLAKE2b-256 checksum
How to use checksums
87ae81eefcf666ee0a01edd63785b718cafa4416a49ab61ae8421084a14b25b7
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 2.2.0b20221019

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