Making large AI models cheaper, faster and more accessible

aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism

You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

Tree: a360b9bc44

ColossalChat

ckpt

cloud/coati

colossalchat

colossalchat_upgrade

dev/gpt2_metainfo_patch

dev/zero-offload

develop

feat/moe

feat/online-serving

feat/speculative-decoding

feature/2-stage

feature/async-io

feature/colossal-infer

feature/elixir

feature/inference-refactor

feature/lora

feature/stable-diffusion

feature/zerobubble

fix-setup

fix/format

flybird11111-patch-1

hotfix/example_test

hotfix/kernel_build_before_load

llama3

main

moe_sp

pre-commit-ci-update-config

refactor/inference

supercooledith-patch-1

support-npu

v0.0.1-beta

v0.0.2

v0.1.0

v0.1.1

v0.1.10

v0.1.11rc1

v0.1.11rc2

v0.1.11rc3

v0.1.11rc4

v0.1.11rc5

v0.1.12

v0.1.13

v0.1.2

v0.1.3

v0.1.4

v0.1.5

v0.1.6

v0.1.7

v0.1.8

v0.1.9

v0.2.0

v0.2.1

v0.2.2

v0.2.3

v0.2.4

v0.2.5

v0.2.6

v0.2.7

v0.2.8

v0.3.0

v0.3.1

v0.3.2

v0.3.3

v0.3.4

v0.3.5

v0.3.6

v0.3.7

v0.3.8

v0.3.9

v0.4.0

v0.4.1

v0.4.2

v0.4.3

v0.4.4

v0.4.5

v0.4.6

Branches Tags

${ item.name }

Create tag ${ searchTerm }

Create branch ${ searchTerm }

from 'a360b9bc44'

${ noResults }

ColossalAI/colossalai/pipeline

History

Ziyue Jiang fef5c949c3 polish pp middleware (#2476) ... Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>		2 years ago
..
middleware	[Pipeline Middleware] Adapt scheduler for Topo (#2066)	2 years ago
rpc	polish pp middleware (#2476)	2 years ago
__init__.py	fix file name (#1759)	2 years ago
layer_spec.py	fix file name (#1759)	2 years ago
pipelinable.py	fix file name (#1759)	2 years ago
pipeline_process_group.py	[pipeline/fix-bug] num_microbatches support any integrate | stable chimera | launch tool for rpc pp framework (#1684)	2 years ago
utils.py	[Pipeline]Adapt to Pipelinable OPT (#1782)	2 years ago