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 2.2.0b20221213

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 2.2.0b20221213
File Actions
bigdl_nano-2.2.0b20221213-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221213-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221213-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221213-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221213-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.2.0b20221213-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.2.0b20221213-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221213-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.8 MB

Release files / bigdl_nano-2.2.0b20221213-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221213-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
6c82ad5196fb7746b8457197323c8b797dd8f1638759d82acc259d6c47e9c3cb
BLAKE2b-256 checksum
How to use checksums
185edc7a3c4fea41bb5d111cc141aee0af372d652a007e4756aa971f8da32a73
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20221213-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221213-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
56c555cad15c16363b86635de82f1a05d0f448f60b871187ba231e1d803dc024
BLAKE2b-256 checksum
How to use checksums
de99100daf2010a004da0a43791957338a393aeedc0a963fde831c122c9f2b71
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20221213-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.2.0b20221213-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
6dff92c3d2192546d8bd76cb4dc2ee49342ebc6e2004bd4c3a11c5483f4c1c64
BLAKE2b-256 checksum
How to use checksums
1fe47cdc84915b7733cc6e8c95abacdc3f47ee6a756bf9f7fa6a9c346afb9234
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_nano-2.2.0b20221213-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221213-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
1c252d9d901c29f969cd55ea91229cda7568a245ecbccd2c94017cab331d2c55
BLAKE2b-256 checksum
How to use checksums
6fb11d4e64978aa48f1b8bf893dc655567ce47631c0060a40f732711836e4a83
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-nano 2.2.0b20221213

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