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 2.2.0b20221003

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 2.2.0b20221003
File Interpreter ABI Platform Actions
bigdl_orca-2.2.0b20221003-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_orca-2.2.0b20221003-py3-none-manylinux1_x86_64.whl
bigdl_orca-2.2.0b20221003-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_orca-2.2.0b20221003-py3-none-macosx_10_11_x86_64.whl

Total release size: 44.8 MB

Release files / bigdl_orca-2.2.0b20221003-py3-none-manylinux1_x86_64.whl

Download URL bigdl_orca-2.2.0b20221003-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
dbabb6f687da79ad8be012961073e1006adb98fdb793a89b524bc04ae4da82b7
BLAKE2b-256 checksum
How to use checksums
09421cce92c5ec39dd00f9435bfc493647a2fa2bfb066a4044f5f12a68d901e4
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-2.2.0b20221003-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_orca-2.2.0b20221003-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
18e0a9d3491a7c02c6d55a682224933b8c40758527f2233fd0accdae7b8d9fff
BLAKE2b-256 checksum
How to use checksums
16121f69d23f468a44fe8d6e65e95296a9807fd563795aca223fc1ea42d2b1a0
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 2.2.0b20221003

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