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 2.3.0b20230414

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 2.3.0b20230414
File Actions
bigdl_nano-2.3.0b20230414-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230414-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230414-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230414-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230414-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230414-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230414-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230414-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.9 MB

Release files / bigdl_nano-2.3.0b20230414-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230414-py3-none-win_amd64.whl
Size 3.0 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
fab4f5cd662ecfce277911f7bba212ef36fd3c363d989a49b23930e2f90d277b
BLAKE2b-256 checksum
How to use checksums
f5e9597cd0c5d691d31a0e95638cd33e5f2de88cc5457868518862da8e83b135
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-2.3.0b20230414-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230414-py3-none-manylinux2010_x86_64.whl
Size 3.0 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
88df49abdedc147a10143acb0689bd8a8d50cdec7c1240a6efe187177270d033
BLAKE2b-256 checksum
How to use checksums
6b19e1ae4a9ffa0b29c2ace6c164435139804eae2d068b47a7f28901065e4fc9
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-2.3.0b20230414-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230414-py3-none-macosx_11_0_arm64.whl
Size 3.0 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
76bfdcc8603d6c3bc188a927479315b9c3e334c144eb967ba4193597a2b09a74
BLAKE2b-256 checksum
How to use checksums
a37991bc2ec4b2b12929da57fecb392446670096b1a4996a3532883817480ef0
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-2.3.0b20230414-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230414-py3-none-macosx_10_11_x86_64.whl
Size 3.0 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
fa4c69c2414ce901861923c13ff95ec72305ca598b5774e8f72117279717c848
BLAKE2b-256 checksum
How to use checksums
793e9a8b8c51dcd93977ebd8d04f5cab1319e962a06532056263f940a27792a6
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 2.3.0b20230414

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