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[Zerobubble] Merge Main. #6107

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merged 190 commits into from
Nov 5, 2024

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@duanjunwen duanjunwen commented Nov 1, 2024

📌 Checklist before creating the PR

  • I have created an issue for this PR for traceability
  • The title follows the standard format: [doc/gemini/tensor/...]: A concise description
  • I have added relevant tags if possible for us to better distinguish different PRs
  • I have installed pre-commit: pip install pre-commit && pre-commit install

🚨 Issue number

Link this PR to your issue with words like fixed to automatically close the linked issue upon merge

e.g. fixed #1234, closed #1234, resolved #1234
#6037

📝 What does this PR do?

Summarize your work here.
if you have any plots/diagrams/screenshots/tables, please attach them here.
This PR will support fully HybridParallel (we only support Hybrid parallelism associated with tensor parallelism in #6083). Also, model policy including llama and mixtral will support zerobubble.

💥 Checklist before requesting a review

  • I have linked my PR to an issue (instruction)
  • My issue clearly describes the problem/feature/proposal, with diagrams/charts/table/code if possible
  • I have performed a self-review of my code
  • I have added thorough tests.
  • I have added docstrings for all the functions/methods I implemented

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BurkeHulk and others added 30 commits July 1, 2024 13:44
cast_to_fp8, cast_from_fp8, all_reduce_fp8
…p8_comm

# Conflicts:
#	colossalai/quantization/fp8.py
[Feature] FP8 communication in ShardFormer
[Shardformer] Fix Shardformer FP8 communication training accuracy degradation
[fp8] add fp8 comm for low level zero
* add llama shardformer fp8

* Llama Shardformer Parity

* fix typo

* fix all reduce

* fix pytest failure

* fix reduce op and move function to fp8.py

* fix typo
* add SimPO

* fix dataloader

* remove debug code

* add orpo

* fix style

* fix colossalai, transformers version

* fix colossalai, transformers version

* fix colossalai, transformers version

* fix torch colossalai version

* update transformers version

* [shardformer] DeepseekMoE support (hpcaitech#5871)

* [Feature] deepseek moe expert parallel implement

* [misc] fix typo, remove redundant file (hpcaitech#5867)

* [misc] fix typo

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [Feature] deepseek support & unit test

* [misc] remove debug code & useless print

* [misc] fix typos (hpcaitech#5872)

* [Feature] remove modeling file, use auto config. (hpcaitech#5884)

* [misc] fix typos

* [Feature] deepseek support via auto model, remove modeling file

* [misc] delete useless file

* [misc] fix typos

* [Deepseek] remove redundant code (hpcaitech#5888)

* [misc] fix typos

* [Feature] deepseek support via auto model, remove modeling file

* [misc] delete useless file

* [misc] fix typos

* [misc] remove redundant code

* [Feature/deepseek] resolve comment. (hpcaitech#5889)

* [misc] fix typos

* [Feature] deepseek support via auto model, remove modeling file

* [misc] delete useless file

* [misc] fix typos

* [misc] remove redundant code

* [misc] mv module replacement into if branch

* [misc] add some warning message and modify some code in unit test

* [misc] fix typos

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [Hoxfix] Fix CUDA_DEVICE_MAX_CONNECTIONS for comm overlap

Co-authored-by: Edenzzzz <[email protected]>

* [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (hpcaitech#5838)

* Diffusion Model Inference support

* Stable Diffusion 3 Support

* pixartalpha support

* [HotFix] CI,import,requirements-test for hpcaitech#5838 (hpcaitech#5892)

* [Hot Fix] CI,import,requirements-test

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [Feature] Enable PP + SP for llama (hpcaitech#5868)

* fix cross-PP-stage position id length diff bug

* fix typo

* fix typo

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* use a one cross entropy func for all shardformer models

---------

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* [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (hpcaitech#5897)

* add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint

* fix style

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* fix eval

* hotfix citation

* [zero] support all-gather overlap (hpcaitech#5898)

* [zero] support all-gather overlap

* [zero] add overlap all-gather flag

* [misc] fix typo

* [zero] update api

* fix orpo cross entropy loss

* [Auto Parallel]: Speed up intra-op plan generation by 44% (hpcaitech#5446)

* Remove unnecessary calls to deepcopy

* Build DimSpec's difference dict only once

This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough.

* Fix documentation of DimSpec's difference method

* [ShardFormer] fix qwen2 sp (hpcaitech#5903)

* [compatibility] support torch 2.2 (hpcaitech#5875)

* Support Pytorch 2.2.2

* keep build_on_pr file and update .compatibility

* fix object_to_tensor usage when torch>=2.3.0 (hpcaitech#5820)

* [misc] support torch2.3 (hpcaitech#5893)

* [misc] support torch2.3

* [devops] update compatibility ci

* [devops] update compatibility ci

* [devops] add debug

* [devops] add debug

* [devops] add debug

* [devops] add debug

* [devops] remove debug

* [devops] remove debug

* [release] update version (hpcaitech#5912)

* [plugin] support all-gather overlap for hybrid parallel (hpcaitech#5919)

* [plugin] fixed all-gather overlap support for hybrid parallel

* add kto

* fix style, add kto data sample

* [Examples] Add lazy init to OPT and GPT examples (hpcaitech#5924)

Co-authored-by: Edenzzzz <[email protected]>

* [ColossalChat] Hotfix for ColossalChat (hpcaitech#5910)

* add ignore and tiny llama

* fix path issue

* run style

* fix issue

* update bash

* add ignore and tiny llama

* fix path issue

* run style

* fix issue

* update bash

* fix ddp issue

* add Qwen 1.5 32B

* refactor tokenization

* [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (hpcaitech#5931)

* cannot access local variable 'default_conversation' where it is not associated with a value

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* fix test data

* refactor evaluation

* remove real data path

* remove real data path

* Add n_fused as an input from native_module (hpcaitech#5894)

* [FIX BUG] convert env param to int in (hpcaitech#5934)

* [Hotfix] Fix ZeRO typo hpcaitech#5936

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* [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (hpcaitech#5941)

* Add a switch to control whether the model checkpoint needs to be saved after each epoch ends

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* fix style

* fix style

* fix style

* [shardformer] hotfix attn mask (hpcaitech#5945)

* [shardformer] hotfix attn mask (hpcaitech#5947)

* [Feat] Distrifusion Acceleration Support for Diffusion Inference (hpcaitech#5895)

* Distrifusion Support source

* comp comm overlap optimization

* sd3 benchmark

* pixart distrifusion bug fix

* sd3 bug fix and benchmark

* generation bug fix

* naming fix

* add docstring, fix counter and shape error

* add reference

* readme and requirement

* [zero] hotfix update master params (hpcaitech#5951)

* [release] update version (hpcaitech#5952)

* [Chat] Fix lora (hpcaitech#5946)

* fix merging

* remove filepath

* fix style

* Update README.md (hpcaitech#5958)

* [hotfix] Remove unused plan section (hpcaitech#5957)

* remove readme

* fix readme

* update

* [test] add mixtral for sequence classification

* [test] add mixtral transformer test

* [moe] fix plugin

* [test] mixtra pp shard test

* [chore] handle non member group

* [zero] solve hang

* [test] pass mixtral shardformer test

* [moe] implement transit between non moe tp and ep

* [zero] solve hang

* [misc] solve booster hang by rename the variable

* solve hang when parallel mode = pp + dp

* [moe] implement submesh initialization

* [moe] add mixtral dp grad scaling when not all experts are activated

* [chore] manually revert unintended commit

* [chore] trivial fix

* [chore] arg pass & remove drop token

* [test] add mixtral modelling test

* [moe] implement tp

* [moe] test deepseek

* [moe] clean legacy code

* [Feature] MoE Ulysses Support (hpcaitech#5918)

* moe sp support

* moe sp bug solve

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* [chore] minor fix

* [moe] init moe plugin comm setting with sp

* moe sp + ep bug fix

* [moe] finalize test (no pp)

* [moe] full test for deepseek and mixtral (pp + sp to fix)

* [chore] minor fix after rebase

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* [chore] solve moe ckpt test failure and some other arg pass failure

* [moe] remove ops

* [test] fix test: test_zero1_2

* [bug] fix: somehow logger hangs the program

* [moe] deepseek moe sp support

* [test] add check

* [deepseek] replace attn (a workaround for bug in transformers)

* [misc] skip redunant test

* [misc] remove debug/print code

* [moe] refactor mesh assignment

* Revert "[moe] implement submesh initialization"

This reverts commit 2f9bce6.

* [chore] change moe_pg_mesh to private

* [misc] remove incompatible test config

* [misc] fix ci failure: change default value to false in moe plugin

* [misc] remove useless condition

* [chore] docstring

* [moe] remove force_overlap_comm flag and add warning instead

* [doc] add MoeHybridParallelPlugin docstring

* [moe] solve dp axis issue

* [chore] remove redundant test case, print string & reduce test tokens

* [feat] Dist Loader for Eval (hpcaitech#5950)

* support auto distributed data loader

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* support auto distributed data loader

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* fix tp error

* remove unused parameters

* remove unused

* update inference

* update docs

* update inference

---------

Co-authored-by: Michelle <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* [lora] lora support hybrid parallel plugin (hpcaitech#5956)

* lora support hybrid plugin

* fix

* fix

* fix

* fix

* fp8 operators for compressed communication

cast_to_fp8, cast_from_fp8, all_reduce_fp8

* fix scaling algorithm in FP8 casting

* support fp8 communication in pipeline parallelism

* add fp8_communication flag in the script

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* fix typo

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* shardformer fp8

* fix rebase

* remove all to all

* fix shardformer fp8 communication training degradation

* [fp8] support all-gather flat tensor (hpcaitech#5932)

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* fix

* Update low_level_optim.py

---------

Co-authored-by: YeAnbang <[email protected]>
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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* support all2all fp8

* fix

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* fix

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* fix

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* [fp8] add fp8 linear

* [test] fix fp8 linear test condition

* [test] fix fp8 linear test condition

* [test] fix fp8 linear test condition
* [fp8] support fp8 amp for hybrid parallel plugin

* [test] add fp8 hook test

* [fp8] fix fp8 linear compatibility
…5928)

* support fp8_communication in the Torch DDP grad comm, FSDP grad comm, and FSDP params comm

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* implement communication hook for FSDP params all-gather

* added unit test for fp8 operators

* support fp8 communication in GeminiPlugin

* update training scripts to support fsdp and fp8 communication

* fixed some minor bugs observed in unit test

* add all_gather_into_tensor_flat_fp8

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* add skip the test if torch < 2.2.0

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* add skip the test if torch < 2.2.0

* add skip the test if torch < 2.2.0

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* rebase latest fp8 operators

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [fp8] refactor hook

* [fp8] support gemini plugin

* [example] add fp8 option for llama benchmark
* [fp8] use torch compile (torch >= 2.4.0)

* [fp8] set use_fast_accum in linear

* [chore] formal version check

* [chore] fix sig
BurkeHulk and others added 20 commits October 21, 2024 13:55
* [doc] sora solution news

* [doc] sora solution news
…ime too long in Recv Bwd; benchmark for llama + Hybrid(tp+pp);
* add reasoner

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* update code

* delete llama

* update prompts

* update readme

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---------

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… use weightGradStore and not use WeightGradStore
updates:
- [github.com/psf/black-pre-commit-mirror: 24.8.0 → 24.10.0](psf/black-pre-commit-mirror@24.8.0...24.10.0)
- [github.com/pre-commit/mirrors-clang-format: v18.1.8 → v19.1.2](pre-commit/mirrors-clang-format@v18.1.8...v19.1.2)
- [github.com/pre-commit/pre-commit-hooks: v4.6.0 → v5.0.0](pre-commit/pre-commit-hooks@v4.6.0...v5.0.0)

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@duanjunwen duanjunwen requested a review from a team as a code owner November 1, 2024 03:16
@duanjunwen duanjunwen changed the title [ZeroBubble] Support Fully HybridParallel Plugin. [Zerobubble] Merge Main. Nov 1, 2024
@duanjunwen duanjunwen merged commit 37b23e3 into hpcaitech:feature/zerobubble Nov 5, 2024
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