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 2.2.0b20221020

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 2.2.0b20221020
File Interpreter ABI Platform Actions
bigdl_nano-2.2.0b20221020-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.2.0b20221020-py3-none-win_amd64.whl
bigdl_nano-2.2.0b20221020-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.2.0b20221020-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.2.0b20221020-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.2.0b20221020-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.7 MB

Release files / bigdl_nano-2.2.0b20221020-py3-none-win_amd64.whl

Download URL bigdl_nano-2.2.0b20221020-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
51cc5fb939ba6b53caac940af745641930b7a5e4800565115a1f3b274730b490
BLAKE2b-256 checksum
How to use checksums
e339ea352a877be6c50b97bb934a79088ed0e9060c1bc8e3ffcf520f1eb3076e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.2.0b20221020-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.2.0b20221020-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
73e56a23f478fcf48860e52f0f647e2e4bf9c962eb346499569f1dfa73d74fcb
BLAKE2b-256 checksum
How to use checksums
8c2ac16fe7a85db37da947e658cb6ffca89b3a71551834c43006a7a8aab0df1a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.2.0b20221020-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.2.0b20221020-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
9d792bbee66513f262fb79ce5ae8781c9e86e65e6036195b42cc2ca2e37611ce
BLAKE2b-256 checksum
How to use checksums
b1d04047ba09ba4b979846965f96f074137286141d9a1f15c0ff138aae980ee3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for bigdl-nano 2.2.0b20221020

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