Skip to main content

PyTorch implementation of warmup scheduler

Project description

PyTorch Warmup Scheduler

Open In Colab

This is a PyTorch implementation of the warmup scheduler.

Installation

pip install pytorch-warmup-scheduler

References

  • Goyal, Priya, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He. "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour." arXiv preprint arXiv:1706.02677 (2017). arXiv:1706.02677

Project details


Download files

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

Source Distribution

pytorch-warmup-scheduler-0.0.1.tar.gz (2.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pytorch_warmup_scheduler-0.0.1-py3-none-any.whl (3.4 kB view details)

Uploaded Python 3

File details

Details for the file pytorch-warmup-scheduler-0.0.1.tar.gz.

File metadata

  • Download URL: pytorch-warmup-scheduler-0.0.1.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for pytorch-warmup-scheduler-0.0.1.tar.gz
Algorithm Hash digest
SHA256 2dde4e820db7b3ab398fb69899488354b9f8ac68f7ea4fedcd393d10a984a0eb
MD5 ce189ce6361b6a19622b4c47214fc009
BLAKE2b-256 d95c61a1ce82fc0bef9cd405ff11673b7fd4b8b7e70b9c6e77dba11219f07a45

See more details on using hashes here.

File details

Details for the file pytorch_warmup_scheduler-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: pytorch_warmup_scheduler-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for pytorch_warmup_scheduler-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a22ff7fdff408e6c3c4584a8abb845230fb48ca94f70f594534bcef6f5f1db4f
MD5 aa0ed18bd289a3020c03529f06b6cc74
BLAKE2b-256 5a556cea1b5cecaee21cfa2a0512da5c4475109772331d243f2d487aab63b47c

See more details on using hashes here.

Supported by

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