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 2.2.0b20221017

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 2.2.0b20221017
File Interpreter ABI Platform Actions
bigdl_orca-2.2.0b20221017-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_orca-2.2.0b20221017-py3-none-manylinux1_x86_64.whl
bigdl_orca-2.2.0b20221017-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_orca-2.2.0b20221017-py3-none-macosx_10_11_x86_64.whl

Total release size: 44.8 MB

Release files / bigdl_orca-2.2.0b20221017-py3-none-manylinux1_x86_64.whl

Download URL bigdl_orca-2.2.0b20221017-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
e708e8e91d568e128371456d06783a69a10935e847bf0634c2d7370a87ff635b
BLAKE2b-256 checksum
How to use checksums
82c5f4e8279710dc6f8df0f16cac4f80d3ab0aed3a18b428d520b5a05ccf7ef7
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-2.2.0b20221017-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_orca-2.2.0b20221017-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
eb07230c9c1667e99519c858d5b053e4030bb3309b214b4c7c4210e44f9a0b11
BLAKE2b-256 checksum
How to use checksums
20d6bde9ff39bd83c78a751919f356d3ae22455391e5f46189a8398b9194c312
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 2.2.0b20221017

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