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 2.5.0b20231214

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 2.5.0b20231214
File Actions
bigdl_nano-2.5.0b20231214-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20231214-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20231214-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20231214-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20231214-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20231214-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20231214-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20231214-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20231214-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20231214-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
6d6fb48f8f5069e08d55822baa2ca48cfdcaa419c0f405312db8a8b719e4627d
BLAKE2b-256 checksum
How to use checksums
695eab4f3f214356323540d05e6b55e87a9f06a60629a5a6adf08d907b16b78b
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-2.5.0b20231214-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20231214-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
371980f575dfb644d3c5fcd55b0f13f5558168c1a8511950510c5beab12c8aa9
BLAKE2b-256 checksum
How to use checksums
6440f1e0da84c5976cbe3a7cd70d8c12090c615bf6f95461aed53cabbf062444
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-2.5.0b20231214-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20231214-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
53aa9c693e02dfcc6f9f380c75db5a240abbb040ef1a8d964aeb844ed0e19f69
BLAKE2b-256 checksum
How to use checksums
aba6cb8fc79743ef932624f341dcfd490f6f1a3c870a1ccaa01aedc4b332b4e7
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-2.5.0b20231214-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20231214-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
5a2f67132c5d223d07c60d86920392ea006073317f90e1e90bfa4497d9ce335f
BLAKE2b-256 checksum
How to use checksums
1aeb86cc9c209fa968d73be5a5de9f1b01c850355a61cbe473c1c5edde56d688
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 2.5.0b20231214

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