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 2.5.0b20240201

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 2.5.0b20240201
File Interpreter ABI Platform Actions
bigdl_orca-2.5.0b20240201-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_orca-2.5.0b20240201-py3-none-manylinux1_x86_64.whl
bigdl_orca-2.5.0b20240201-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_orca-2.5.0b20240201-py3-none-macosx_10_11_x86_64.whl

Total release size: 44.9 MB

Release files / bigdl_orca-2.5.0b20240201-py3-none-manylinux1_x86_64.whl

Download URL bigdl_orca-2.5.0b20240201-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
930a2ef3197dfc5fcf92cab92502e95fcec1e5615553dd8d925dfcba2bfa8ff8
BLAKE2b-256 checksum
How to use checksums
9afa69b6c66cd0b5d19126e79df857cc2ea6cb0a151e2ac9fd29e000c7ddf525
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-2.5.0b20240201-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_orca-2.5.0b20240201-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
fdeda83535e1c7491f5e8eee86d1b84ce876851cf934f8eb2cddc447c955caea
BLAKE2b-256 checksum
How to use checksums
4a5563e9d3c8ebaf988b37796e61a168b523654dbf465dc68ef2a8450e180530
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 2.5.0b20240201

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