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 2.5.0b20240302

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 2.5.0b20240302
File Actions
bigdl_nano-2.5.0b20240302-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20240302-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20240302-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20240302-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20240302-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20240302-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20240302-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20240302-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20240302-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20240302-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
ee6c1ac0d1603cf3d12a47e5a0117d02f576127cdbdcd416356f0555367d10da
BLAKE2b-256 checksum
How to use checksums
6b3ef2b99da15d085f584356dfa35545525dbd5fb026942cfd8498040c7c97b5
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-2.5.0b20240302-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20240302-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
e89b8a47de57162b5adff71c45c525fe79e1c66399a46c0e01f8a39669182587
BLAKE2b-256 checksum
How to use checksums
0bb9c684cf9aaf55317b49f97a7c9fc2fc4733109fb7937e23a5148dd6a2f8e4
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-2.5.0b20240302-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20240302-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
a965dd569477a460d2876036fe765e378b20578039820a7a18f2f71e3c6e65d4
BLAKE2b-256 checksum
How to use checksums
c2657f91642909fc4c0c1ae23ab8d7f1a89cc4f4142babc9daf4e2b23109a8d0
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-2.5.0b20240302-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20240302-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
9f0239e6a650f4c99b0a45b8ab4b86381d2f554202bbce671a0f6882ac1adbd5
BLAKE2b-256 checksum
How to use checksums
18f6f3152e061f44627b9d4a1c85d5949f1e4155a303925fcb37b57d45d957f9
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 2.5.0b20240302

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