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 2.5.0b20240311

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 2.5.0b20240311
File Actions
bigdl_nano-2.5.0b20240311-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20240311-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20240311-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20240311-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20240311-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20240311-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20240311-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20240311-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20240311-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20240311-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
71074d827cf2c1d339dca42729cf6999187bdecff5435f5d09fcef754f871876
BLAKE2b-256 checksum
How to use checksums
3fb12b2e583310197a30d6452c61bc6a58f8f01ce51d765fa6524becb0f9cb06
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-2.5.0b20240311-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20240311-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
bf24c66ffa6ea8e62cb2ab57acadaa2e5b77d8b893d39ec4cd6610c012c6335c
BLAKE2b-256 checksum
How to use checksums
b00db3c455bf742bfc339734244233d0e48aef14ffa4f9b2d345971122c7df17
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-2.5.0b20240311-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20240311-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
3e37fd1c6214d1e3887d1317033264cad2e7c63d10c4f79cd00d24c7585f654c
BLAKE2b-256 checksum
How to use checksums
6a46b57ef69ceed7ad18333fd06a14c375c512224b26b3b83ff551ee61ffbb99
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-2.5.0b20240311-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20240311-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
2d60549677dac1db0875a01fe9031be403bd76b7118e70b8fea06c70bfa17429
BLAKE2b-256 checksum
How to use checksums
69ccea01bb7cd9f7824e4853f5c73b286c3fd3e50a8dd06cd17f472c8727e048
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 2.5.0b20240311

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