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 2.5.0b20240321

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 2.5.0b20240321
File Interpreter ABI Platform Actions
bigdl_orca-2.5.0b20240321-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_orca-2.5.0b20240321-py3-none-manylinux1_x86_64.whl
bigdl_orca-2.5.0b20240321-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_orca-2.5.0b20240321-py3-none-macosx_10_11_x86_64.whl

Total release size: 44.9 MB

Release files / bigdl_orca-2.5.0b20240321-py3-none-manylinux1_x86_64.whl

Download URL bigdl_orca-2.5.0b20240321-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
8e779a20f6ce7008a9b95c568b5c3616c3c5fe416591a0259583aaea8369008b
BLAKE2b-256 checksum
How to use checksums
a03383bd9a12def46597536a6d952c8a6295ba2749dc4767fa52cea2a530423b
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-2.5.0b20240321-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_orca-2.5.0b20240321-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
53278da7c1d016c3abde1823775cbe5169ea15fff5a2c502e4a2f63bd0fd5e0d
BLAKE2b-256 checksum
How to use checksums
02ac936a9d520f40872f844fc3024ff30618f47fb6a2d2ad24c5f2fd30f81eb7
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 2.5.0b20240321

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