Skip to main content
Pre-release

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

BigDL Orca helps to seamlessly scale out TensorFlow and PyTorch pipelines for distributed Big Data.

See here for more information.

Metadata

Release files for bigdl-orca 2.5.0b20240313

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-orca 2.5.0b20240313
File Interpreter ABI Platform Actions
bigdl_orca-2.5.0b20240313-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_orca-2.5.0b20240313-py3-none-manylinux1_x86_64.whl
bigdl_orca-2.5.0b20240313-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_orca-2.5.0b20240313-py3-none-macosx_10_11_x86_64.whl

Total release size: 44.9 MB

Release files / bigdl_orca-2.5.0b20240313-py3-none-manylinux1_x86_64.whl

Download URL bigdl_orca-2.5.0b20240313-py3-none-manylinux1_x86_64.whl
Size 20.4 MB
Tags Linux glibc 2.5+ x86-64 Python 3
SHA-256 checksum
How to use checksums
9cc8ed01b8d7a4bdc4db5092d55e06075916facfcffd57548e9c70648557aff7
BLAKE2b-256 checksum
How to use checksums
acd81b1b003d58874869287cac7162b063af98c97ef302591d13600b0689af38
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_orca-2.5.0b20240313-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_orca-2.5.0b20240313-py3-none-macosx_10_11_x86_64.whl
Size 24.5 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
5c9600f90bef50e80f8a6b61986176da740815c49ef6deb94c6a1a0918d51f12
BLAKE2b-256 checksum
How to use checksums
53cded431fad3122b2630c536e2833080b515ba72bad063824c49379bee6c2a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Security for bigdl-orca 2.5.0b20240313

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