Skip to main content

Pipeline Parallelism for PyTorch

Project description

The PiPPy project stands for Pipeline Parallelism for PyTorch. It consists of a compiler and runtime stack for automated parallelism and scaling of PyTorch models. PiPPy partitions the code of the model in a pipelined fashion and enables multiple micro-batches to execute different parts of the model code concurrently. For details, please visit PiPPy's GitHub page.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

torchpippy-0.1.1-py3-none-any.whl (381.8 kB view details)

Uploaded Python 3

File details

Details for the file torchpippy-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: torchpippy-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 381.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for torchpippy-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c9e36552bb1858face1081bbd83c14a7a5a53fd642b69e7760db88e96cdc18f8
MD5 2e3104abc20bb22e57751be8446eb4b7
BLAKE2b-256 59fe1b379453301c248669fd9274e9ae5755abd63e32142f3d92456b87d5bda8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page