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 2.3.0b20230215

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 2.3.0b20230215
File Actions
bigdl_nano-2.3.0b20230215-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230215-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230215-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230215-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230215-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230215-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230215-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230215-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.9 MB

Release files / bigdl_nano-2.3.0b20230215-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230215-py3-none-win_amd64.whl
Size 2.2 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
41df31ecc3fd2e5f9c1958be552ba050ef6341583b5aa7553a152cc945cdf6de
BLAKE2b-256 checksum
How to use checksums
6df3f6ba1cc9a6f23e12fe370782876a54ecba2d8ecf7aafaf35cee947efaca9
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-2.3.0b20230215-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230215-py3-none-manylinux2010_x86_64.whl
Size 2.2 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
1e46fb8056592dfe9cb2addf62e800f1eb51723c0140df917b48c55dd2038a61
BLAKE2b-256 checksum
How to use checksums
67209b2486b0ed6ecc6caa738bfc5fc1a81f6336f39caa6dd40698050c7beaf1
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-2.3.0b20230215-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230215-py3-none-macosx_11_0_arm64.whl
Size 2.2 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
6228d576a2cb43e6ba5aaa859b554d41c48d8f92160ab1bbb6dab963ab2dd468
BLAKE2b-256 checksum
How to use checksums
f19ca0aaf31dc796536d975c467d4d7045b7647e871463d73f5caa25feaa1fdc
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-2.3.0b20230215-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230215-py3-none-macosx_10_11_x86_64.whl
Size 2.2 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
98e22d726fbde3dd6e303e8ed2afbd9629d886316e604c8c08cd6a152e0ca796
BLAKE2b-256 checksum
How to use checksums
0e7819dad7ef46230c4962d2d34d6ddb84aeecbd3ee01c5b5fc8c6a218f2b852
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 2.3.0b20230215

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