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 2.4.0b20230917

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 2.4.0b20230917
File Actions
bigdl_nano-2.4.0b20230917-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230917-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230917-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230917-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230917-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230917-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230917-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230917-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230917-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230917-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
92f5f669e936c25eeb55a170050e5bf8bd094b53890619b82ca5613e276b62c1
BLAKE2b-256 checksum
How to use checksums
dc08d9bc68300b801a5baf195adb12dfcf924ad2f8d4bf99b0855a4157ddf66c
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-2.4.0b20230917-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230917-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
746f9c67e49466138d1a3e70e0f8a56563d57060379423bcf16f76329880a8d7
BLAKE2b-256 checksum
How to use checksums
3af18290b103a1f0d23030456fffdc06ba829c2d2da56b6f035ad2539703eef4
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-2.4.0b20230917-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230917-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
3b117d049c864a0676efcab05955fdf20bc687e253dd35289d84c900d927d2be
BLAKE2b-256 checksum
How to use checksums
18d5eaf48f596945bd74766b9d1e78ba9fbbf4a3865d7a2e8d53f36f21c91b33
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-2.4.0b20230917-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230917-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
4a6af8b268b057f2f9e91a241621670258dec1c490a06937e48728d4c210f671
BLAKE2b-256 checksum
How to use checksums
fed637ba31965a06c2362aa834e5e25c9629390196c3efde26754adaf44d92ad
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 2.4.0b20230917

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