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 2.3.0b20230225

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 2.3.0b20230225
File Actions
bigdl_nano-2.3.0b20230225-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230225-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230225-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230225-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230225-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230225-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230225-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230225-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.9 MB

Release files / bigdl_nano-2.3.0b20230225-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230225-py3-none-win_amd64.whl
Size 2.2 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
60f44fc0d99e435803aebb06a53bb74381999bfc34089634eefb3b97bc1acc31
BLAKE2b-256 checksum
How to use checksums
ab1c5035ac6fb8647a7740884c9bce83f60f8cb65e328525998f54b25f2df5f6
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-2.3.0b20230225-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230225-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
c2384110d490a308d8fcfd7017cefca5d7e19a4b76d6ddd903721ebac88ccdee
BLAKE2b-256 checksum
How to use checksums
4ec60c0f1ff69591498c474192a49ff0adeec4434c834a9b6325ad26011b6ebf
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-2.3.0b20230225-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230225-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
97782ed47c12cea0c10797713182b6cc03beec529df0a73da067ecb3657a35a6
BLAKE2b-256 checksum
How to use checksums
eac0a2ebd2404d06d2ba8e38f0e5b454bd4e7563140800eedf54a9b1360fc03e
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-2.3.0b20230225-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230225-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
21f66b4063c9cbddf45c63dcbfc2583d2056b827ef97179df8892a1ee7a130fe
BLAKE2b-256 checksum
How to use checksums
5783411afe043a3c1ce5dfb54f7e91896023e8b6054d16e881713b921d6d7662
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 2.3.0b20230225

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