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.

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-0.1.0-py3-none-any.whl (378.0 kB view details)

Uploaded Python 3

File details

Details for the file torchpippy-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: torchpippy-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 378.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for torchpippy-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3e1110a8b981e805613cc9be7caf23f56cc5905e956c1e578af6166e948d2eb8
MD5 6d24b477c6667eeea671367abe4cdd8c
BLAKE2b-256 6c259adf530514e6f91abc65cbbacb3cf86445639bae9974cd4cc337964fa397

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