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 2.5.0b20240318

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 2.5.0b20240318
File Actions
bigdl_nano-2.5.0b20240318-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20240318-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20240318-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20240318-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20240318-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20240318-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20240318-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20240318-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20240318-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20240318-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
c3f71004c87adbe570c754830f4f964175a624825b659b96780c7ea20a37a8bc
BLAKE2b-256 checksum
How to use checksums
42eed2e7cf0014de522e7b396c01b47dabe94f7bf0675c26567cfb41c6415e8a
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-2.5.0b20240318-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20240318-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
532eb5714728dddda56343dad70fbae5a88908cc8639f8de286719c1aeccc5f4
BLAKE2b-256 checksum
How to use checksums
4cc626d313908ed7385cc8af76594bde557b7700425bed3276c7773466c27aa5
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-2.5.0b20240318-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20240318-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
290d2a5e88364b814e662c9077b1ccaf612bb52e2614aea9b360ccea561d4c18
BLAKE2b-256 checksum
How to use checksums
aa3aecf414d0523305a0f437a1d1097aa9e71b42d79f9c2904bc865f74bbde24
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-2.5.0b20240318-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20240318-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
630840bff097961c0b305e0fe37fe7bfd14b722f6074f2f25fbfcc62774931d9
BLAKE2b-256 checksum
How to use checksums
13d110709ec03e2c40cb711ec82b9b42366db415470521b7ad080523ef014610
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 2.5.0b20240318

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