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 2.3.0b20230223

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 2.3.0b20230223
File Actions
bigdl_nano-2.3.0b20230223-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230223-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230223-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230223-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230223-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230223-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230223-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230223-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.9 MB

Release files / bigdl_nano-2.3.0b20230223-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230223-py3-none-win_amd64.whl
Size 2.2 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
5d433b432ac7e1416f35a6f3b2341401e3245edcf912be3300ff9dfcf79e8bad
BLAKE2b-256 checksum
How to use checksums
14e3bcd1e98f1d02a521d6dc6878fa6fa9e1cc490b5caf4665ba2fa09baadd43
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-2.3.0b20230223-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230223-py3-none-manylinux2010_x86_64.whl
Size 2.2 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
eae15b4e2f8aa6d9e6656eef9de5a6a543ed88753f000e72235ca7b4e0d66321
BLAKE2b-256 checksum
How to use checksums
cc5648c3a34f9eb24097b7381d9b3814ef55148e8d67b332d8482b5fb4f7f393
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-2.3.0b20230223-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230223-py3-none-macosx_11_0_arm64.whl
Size 2.2 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
ed27189a4641e7d980495f6076609f6cd7339211d07c0eea78423aa3ae5cdacc
BLAKE2b-256 checksum
How to use checksums
ba855d36f965acf79dddf78481a38cd19ad83f7348f8462df6d4e5bccb978ced
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-2.3.0b20230223-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230223-py3-none-macosx_10_11_x86_64.whl
Size 2.2 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
2435d5bd1d66b8c84749e1cf8992368cd2eafa7e085914b5bb81aebe78a630ce
BLAKE2b-256 checksum
How to use checksums
8dc390c346272cc93a2bf37f6b96f01392f8fda24e3d6c22c20627e9543486e4
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 2.3.0b20230223

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