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 2.2.0b20220926

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 2.2.0b20220926
File Interpreter ABI Platform Actions
bigdl_orca-2.2.0b20220926-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_orca-2.2.0b20220926-py3-none-manylinux1_x86_64.whl
bigdl_orca-2.2.0b20220926-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_orca-2.2.0b20220926-py3-none-macosx_10_11_x86_64.whl

Total release size: 44.8 MB

Release files / bigdl_orca-2.2.0b20220926-py3-none-manylinux1_x86_64.whl

Download URL bigdl_orca-2.2.0b20220926-py3-none-manylinux1_x86_64.whl
Size 20.3 MB
Tags Linux glibc 2.5+ x86-64 Python 3
SHA-256 checksum
How to use checksums
f83ac2b7fcd4a7141cb287c08bdea711fabdf25fcedf675f091bc842910a300c
BLAKE2b-256 checksum
How to use checksums
963092794b0243e53a4060369739920dd12c2169dc2ac6c00affc0128122c139
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_orca-2.2.0b20220926-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_orca-2.2.0b20220926-py3-none-macosx_10_11_x86_64.whl
Size 24.4 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
7e6baf2139293519a919dff896dd522b26b025903cc88df5cfe150603eada42b
BLAKE2b-256 checksum
How to use checksums
b7ac23d97bbbe9c7f75d2ddc421068a5503ac227a8a04f40e89d93097c7ddc95
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for bigdl-orca 2.2.0b20220926

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