Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

BigDL DLlib is a distributed deep learning library for Apache Spark with Keras-style API and Spark ML pipeline support.

See here for more information.

Metadata

Release files for bigdl-dllib 2.3.0b20230329

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bigdl-dllib 2.3.0b20230329
File Size Uploaded Provenance Actions
bigdl-dllib-2.3.0b20230329.tar.gz 53.5 MB Without provenance Details for bigdl-dllib-2.3.0b20230329.tar.gz

Built distributions (wheels)

Table of built distributions (wheels) for bigdl-dllib 2.3.0b20230329
File Interpreter ABI Platform Actions
bigdl_dllib-2.3.0b20230329-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_dllib-2.3.0b20230329-py3-none-manylinux1_x86_64.whl
bigdl_dllib-2.3.0b20230329-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_dllib-2.3.0b20230329-py3-none-macosx_10_11_x86_64.whl

Total release size: 160.9 MB

Release files / bigdl-dllib-2.3.0b20230329.tar.gz

Download URL bigdl-dllib-2.3.0b20230329.tar.gz
Size 53.5 MB
Tags Source
SHA-256 checksum
How to use checksums
ad22852018b6442f505524e6148ec3e4dd046c9e8262921ee47e1409f15b88ed
BLAKE2b-256 checksum
How to use checksums
5c0edfb5ab8f726af7d1267d9a2aa02efedffb25ba15494c734c8d7dba4600f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_dllib-2.3.0b20230329-py3-none-manylinux1_x86_64.whl

Download URL bigdl_dllib-2.3.0b20230329-py3-none-manylinux1_x86_64.whl
Size 53.7 MB
Tags Linux glibc 2.5+ x86-64 Python 3
SHA-256 checksum
How to use checksums
305af4b4eac3c3ac810d8954e1f434e0e9d05a9203d3424ad360c23a4ce57e67
BLAKE2b-256 checksum
How to use checksums
2c97d451f38fa1f035867bddd2a351dde005aac613df0a2df62e5d01b9329b5c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_dllib-2.3.0b20230329-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_dllib-2.3.0b20230329-py3-none-macosx_10_11_x86_64.whl
Size 53.7 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
8eda716956bf53438f9a4020757d0cf1df15ad1356170bda1bc3b50d68c61b27
BLAKE2b-256 checksum
How to use checksums
c65af201bd69bec9fa414dd69aa340404b001656a23ce0ec8160f005b08852d9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-dllib 2.3.0b20230329

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