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 2.3.0b20230412

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 2.3.0b20230412
File Actions
bigdl_nano-2.3.0b20230412-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230412-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230412-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230412-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230412-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230412-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230412-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230412-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.9 MB

Release files / bigdl_nano-2.3.0b20230412-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230412-py3-none-win_amd64.whl
Size 3.0 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
8cbc569c541020083def2dd08821abd562cb34cd29658c66d4f8b4241833b6e4
BLAKE2b-256 checksum
How to use checksums
e52d217ea7fc1d0e512c0e18e342d64313f53c6cca635af62feec14c475ee15f
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-2.3.0b20230412-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230412-py3-none-manylinux2010_x86_64.whl
Size 3.0 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
232c4ea218e045f9a824b0a3363c74b97be7ec2a271f180653b6d02d2956e8fa
BLAKE2b-256 checksum
How to use checksums
c6018a57f1d4b46f14cb6738525bad7ab8b79e9fe9754dfbc2b4472de8290074
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-2.3.0b20230412-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230412-py3-none-macosx_11_0_arm64.whl
Size 3.0 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
384e77d15767bc5b0ae71a2161d7b555647c34a0f20f4f946e07c242af61b7da
BLAKE2b-256 checksum
How to use checksums
1f2c181a9cdfe5e03ab17896116df78becc6211e8e955514f800ff2b808c41f3
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-2.3.0b20230412-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230412-py3-none-macosx_10_11_x86_64.whl
Size 3.0 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
aade7505150bfcb706aba5bfda941a45c113d9df5c8b75e75779d65ac1314934
BLAKE2b-256 checksum
How to use checksums
abc812657dca3e5fbc49e461a5e1daf1755cc370ce1325f4ac89d95cf1474feb
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 2.3.0b20230412

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