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 2.3.0b20230205

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 2.3.0b20230205
File Actions
bigdl_nano-2.3.0b20230205-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.3.0b20230205-py3-none-win_amd64.whl
bigdl_nano-2.3.0b20230205-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.3.0b20230205-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.3.0b20230205-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.3.0b20230205-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.3.0b20230205-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.3.0b20230205-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.9 MB

Release files / bigdl_nano-2.3.0b20230205-py3-none-win_amd64.whl

Download URL bigdl_nano-2.3.0b20230205-py3-none-win_amd64.whl
Size 2.2 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
6c1db60654fb90a048b32995e26f1994854c79230793fd02f0439814362bd487
BLAKE2b-256 checksum
How to use checksums
b72c88cdce2194375f6d6a67557ac946b09adfa63b7113407e38da4ab3cee1c1
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-2.3.0b20230205-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.3.0b20230205-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
b4032f43baf37c7db1065aeb8941fa1f54c4af076796236cb036c42511b5a456
BLAKE2b-256 checksum
How to use checksums
23450c77c96fed175b76fbeca7aab6aa95ccbfd2c2b90c585cccb4ca31dc72e1
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-2.3.0b20230205-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.3.0b20230205-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
6b8c7658b0f3e98f0b041c2482ad82b4d865191ea3c326e45cd1e3d2e44f111b
BLAKE2b-256 checksum
How to use checksums
13a693f570291b42cb18390394f9ed7ed8ce2cc6681a93b004841798e253391b
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-2.3.0b20230205-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.3.0b20230205-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
2e4f98fee0a861ce561afb7662a7d6cc3fd12e88cd726c782c32acad7cb77172
BLAKE2b-256 checksum
How to use checksums
0180e41b5d24cdbf1b2f2cbc87a25545ce916608345dfa5c6f5691b510416727
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 2.3.0b20230205

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