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 2.1.0b20220918

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 2.1.0b20220918
File Interpreter ABI Platform Actions
bigdl_nano-2.1.0b20220918-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.1.0b20220918-py3-none-win_amd64.whl
bigdl_nano-2.1.0b20220918-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.1.0b20220918-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.1.0b20220918-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.1.0b20220918-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.7 MB

Release files / bigdl_nano-2.1.0b20220918-py3-none-win_amd64.whl

Download URL bigdl_nano-2.1.0b20220918-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
d5d7af67261f0b2ec6ee35041616b5f0659d39030be64eb74763416fa72f545e
BLAKE2b-256 checksum
How to use checksums
4963738f6055f8fd9e6402a36c3df18149578b1b6175b7645ea9d025f59f5ebb
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-2.1.0b20220918-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.1.0b20220918-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
74c5387dcb7d475260d4a37c511be3b0a7beeaa1a3460d24d439d445406ed45b
BLAKE2b-256 checksum
How to use checksums
6d9f8f529b7eb91a6e08a65ab2f0d9ac3855338a99caa64c3daefd047c856d90
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-2.1.0b20220918-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.1.0b20220918-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
016abd5a04caafe4cc082e5ed62a4ee24aefda0ee41c18a95dbce5e49a17451d
BLAKE2b-256 checksum
How to use checksums
9e192e9b85f09546d6c0d484ae19880322f52f7aaf9061666db9cf1c9f305376
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 2.1.0b20220918

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