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 2.5.0b20240124

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 2.5.0b20240124
File Actions
bigdl_nano-2.5.0b20240124-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20240124-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20240124-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20240124-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20240124-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20240124-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20240124-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20240124-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20240124-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20240124-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
164ccfc4b428b83f4b54da34cc0fb79a4ed774472e4a151e0a9d29cdf75f017a
BLAKE2b-256 checksum
How to use checksums
53e573dbb7735480e5951bca7016e0ccc81eb7ad3c9e3f97091981c19552c715
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-2.5.0b20240124-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20240124-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
b0da6af32d9ee689f882a83abae98f20d6347ba357635c77e84eecfd19a3be9d
BLAKE2b-256 checksum
How to use checksums
3392c69a82b982eff247f9c920e47a303b6a0eaa6ae13f76cb96ab3994ac1908
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-2.5.0b20240124-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20240124-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
e73e04e277a4bac4908a4edde3e4fbb15dcb04a19002c13cd06423d1bcdbe402
BLAKE2b-256 checksum
How to use checksums
a8348ea04314d160af66644058c65e6dbc11d73ca8b01d6db85141e48a138a91
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-2.5.0b20240124-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20240124-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
8103afb1e4e42f5e25d91e24ee0043b15f13e7f14f38293614e4398bf605cb66
BLAKE2b-256 checksum
How to use checksums
ba61a71a5c961c6734e5baaaa146491ee11d0430c143b2622da7b3b7e82041be
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 2.5.0b20240124

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