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 2.4.0b20230623

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 2.4.0b20230623
File Actions
bigdl_nano-2.4.0b20230623-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230623-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230623-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230623-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230623-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230623-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230623-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230623-py3-none-macosx_10_11_x86_64.whl

Total release size: 10.9 MB

Release files / bigdl_nano-2.4.0b20230623-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230623-py3-none-win_amd64.whl
Size 2.7 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
638e4b92e5d21126882b5967978c0672ac87a6f721b5ae89fd5e732f64601325
BLAKE2b-256 checksum
How to use checksums
8ff494d7178ca353f8e945399182448be9a82d8f03981cbe46676f13c5ef161a
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-2.4.0b20230623-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230623-py3-none-manylinux2010_x86_64.whl
Size 2.7 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
fd7bbb6b1a459c5a6f1d34c24b40d4f9550cd246990440786b2828d2ed5b02e3
BLAKE2b-256 checksum
How to use checksums
e515f9a1dc6c5e9eb1264a0d5dad73f54e22ec94c14bf0a53aaefc996fa60f30
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-2.4.0b20230623-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230623-py3-none-macosx_11_0_arm64.whl
Size 2.7 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
ac6bcf021f9fe50e16085a3cae3de2ef1708ce01fdb1331a1ee63683f5bd8ab6
BLAKE2b-256 checksum
How to use checksums
43a4747c585d0efc1942937f623099f08acde88b834a0d0bc17c0bfb62e3f370
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-2.4.0b20230623-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230623-py3-none-macosx_10_11_x86_64.whl
Size 2.7 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
e9463130b981db2be8b1f0618f771db125f48abf8703a2b3135c9eee3ec75c9d
BLAKE2b-256 checksum
How to use checksums
43f677c5eb33ddc41bf45d919676db2fd063324b0c0765b75569810fc58a8377
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 2.4.0b20230623

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