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 2.5.0b20231130

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 2.5.0b20231130
File Actions
bigdl_nano-2.5.0b20231130-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20231130-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20231130-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20231130-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20231130-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20231130-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20231130-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20231130-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20231130-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20231130-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
0ad44f367cc9a445aa6fccb1bc3f683764a06baa3745cc0de7840b4b70c27a5c
BLAKE2b-256 checksum
How to use checksums
f60d9677bbf315d01afd40d82c89ee69b077cca969840009b31c87010c74e6c9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.5.0b20231130-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20231130-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
567554cdd852bfc50e24894abb183baa64ae7b6d9a766b8025f32c1c49edae96
BLAKE2b-256 checksum
How to use checksums
93af0cfe876fb12ab466e92edc3b12d4bb046fd0df55f963b14bdfcbda48c84b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.5.0b20231130-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20231130-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
7a5307f2edc4ea57b84c974e14499eca53975f6f8f05d6c7f6d54fc94323d38f
BLAKE2b-256 checksum
How to use checksums
00fcabd048afb09e7059c1ade1df94687bc97b04c252a6ea1e7a57b61506d8fc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.5.0b20231130-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20231130-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
3af9e9686f46f949c16cfd6f1c5e772e5d5686ccd2bd3a40506963325bcda317
BLAKE2b-256 checksum
How to use checksums
203038ddeaf7467ea6eb2cd91d5d515d343223610cfbfe1c46795f5f7c3b5965
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Security for bigdl-nano 2.5.0b20231130

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