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 2.4.0b20230921

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 2.4.0b20230921
File Actions
bigdl_nano-2.4.0b20230921-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230921-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230921-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230921-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230921-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230921-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230921-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230921-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230921-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230921-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
ec990cc1bb7c4ec09b7c071eeace6adc71c1e18f02744fa2c3347ff6e3366b79
BLAKE2b-256 checksum
How to use checksums
3221c77ecda74d708c1d739f60e6b09091b1f922436124155aef58821dec40c6
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-2.4.0b20230921-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230921-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
ac042ffb6e5ebcba506dc129352e9cde2fff3008218d4be9d10a8c5497f39c3a
BLAKE2b-256 checksum
How to use checksums
6a7a9f054f918a87092e72850cd63db2a6eb8fda2b48ac87688264d44d053bf8
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-2.4.0b20230921-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230921-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
e127a84a1a5680902921ab004852c47c30a04208f854d3a78c79f97a01859e31
BLAKE2b-256 checksum
How to use checksums
a8fb525d9536943ba4f48c08f63b302d6d167c3ee36ff9aa08a535e65c3a9fec
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-2.4.0b20230921-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230921-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
90b6c89ec39e9700b138e7e7c94e1a2d78a4ed0afdb686498be6e7fa278f61a8
BLAKE2b-256 checksum
How to use checksums
13118cc9e346b1462cd552eae27a0dbd4b90102bc6f7889d88467cb7b4a4013d
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 2.4.0b20230921

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