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 2.4.0b20230721

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 2.4.0b20230721
File Actions
bigdl_nano-2.4.0b20230721-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230721-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230721-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230721-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230721-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230721-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230721-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230721-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.4 MB

Release files / bigdl_nano-2.4.0b20230721-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230721-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
ba8463bafc4ab7fec2900ead918e8762cdfcaad0010b3e1aebe23e0926b7b4d5
BLAKE2b-256 checksum
How to use checksums
de9eff8e9565fe46c579bb08531f6e652ed5d5ebf86d07a6765d8f0df3965ecc
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-2.4.0b20230721-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230721-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
8b59800169468d28d0ab75e08c078a0aaf28071d0b08e6dbbbcc1a7f4536c31d
BLAKE2b-256 checksum
How to use checksums
2235c773e6fab51f35b13ccdb65095ec69274ac6a4b558d5fcec462f45f889de
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-2.4.0b20230721-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230721-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
e4506220fce3703e1a0c22a8ed549c622e86747cd92e34c551a1dcc5cdaa981f
BLAKE2b-256 checksum
How to use checksums
8360a4469b77f2b85f8e29ffb11038cb32ff9a2e603c8e9419e88c719217c5fc
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-2.4.0b20230721-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230721-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
aac92b90b18774b4d3a3fdc7a46a6eeea2ba2c9a1ad2a0703dec6792022396d8
BLAKE2b-256 checksum
How to use checksums
3be5c6c646db337da2ac54dba5b786ce59b00c1c3d50602a7e02b429179a3875
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 2.4.0b20230721

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