Commit Graph

14 Commits (5bbab1533ae7672ab37e91b7bc9e584b3a4e9cc1)

Author SHA1 Message Date
flybird11111 8954a0c2e2 [LowLevelZero] low level zero support lora (#5153)
* low level zero support lora

low level zero support lora

* add checkpoint test

* add checkpoint test

* fix

* fix

* fix

* fix

fix

fix

fix

* fix

* fix

fix

fix

fix

fix

fix

fix

* fix

* fix

fix

fix

fix

fix

fix

fix

* fix

* test ci

* git # This is a combination of 3 commits.

Update low_level_zero_plugin.py

Update low_level_zero_plugin.py

fix

fix

fix

* fix naming

fix naming

fix naming

fix
2024-04-28 10:51:27 +08:00
Elsa Granger d565df3821
[pipeline] A more general _communicate in p2p (#5062)
* A more general _communicate

* feat: finish tree_flatten version p2p

* fix: update p2p api calls

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-01-08 15:37:27 +08:00
Wenhao Chen d799a3088f
[pipeline]: add p2p fallback order and fix interleaved pp deadlock (#5214)
* fix: add fallback order option and update 1f1b

* fix: fix deadlock comm in interleaved pp

* test: modify p2p test
2024-01-03 11:34:49 +08:00
Wenhao Chen 4fa689fca1
[pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp (#5134)
* test: add more p2p tests

* fix: remove send_forward_recv_forward as p2p op list need to use the same group

* fix: make send and receive atomic

* feat: update P2PComm fn

* feat: add metadata cache in 1f1b

* feat: add metadata cache in interleaved pp

* feat: modify is_xx_stage fn

* revert: add _broadcast_object_list

* feat: add interleaved pp in llama policy

* feat: set NCCL_BUFFSIZE in HybridParallelPlugin
2023-12-22 10:44:00 +08:00
Elsa Granger b2ad0d9e8f
[pipeline,shardformer] Fix p2p efficiency in pipeline, allow skipping loading weight not in weight_map when `strict=False`, fix llama flash attention forward, add flop estimation by megatron in llama benchmark (#5017)
* Use p2p

* Cannot bidirectonal send p2p

* Refactor tensor creation and serialization in P2P
communication

* Fix llama forward args in flash attention

* Add flop estimate from megatron

* Support loading weight not in weight_map when strict=False in hybrid_parallel

* Use send_forward_recv_backward, etc in 1f1b

* Use dataclass for metdata
Remove torch.cuda.synchronize() as suggested

* Add comment about the torch.cuda.synchronize for potential error

* Typo

* Update hybrid_parallel_checkpoint_io.py

* Update p2p.py

* Update one_f_one_b.py

* Update p2p.py

---------

Co-authored-by: flybird11111 <1829166702@qq.com>
2023-11-16 20:15:59 +08:00
github-actions[bot] 486d06a2d5
[format] applied code formatting on changed files in pull request 4820 (#4886)
Co-authored-by: github-actions <github-actions@github.com>
2023-10-18 11:46:37 +08:00
Bin Jia 08a9f76b2f
[Pipeline Inference] Sync pipeline inference branch to main (#4820)
* [pipeline inference] pipeline inference (#4492)

* add pp stage manager as circle stage

* fix a bug when create process group

* add ppinfer basic framework

* add micro batch manager and support kvcache-pp gpt2 fwd

* add generate schedule

* use mb size to control mb number

* support generate with kv cache

* add output, remove unused code

* add test

* reuse shardformer to build model

* refactor some code and use the same attribute name of hf

* fix review and add test for generation

* remove unused file

* fix CI

* add cache clear

* fix code error

* fix typo

* [Pipeline inference] Modify to tieweight (#4599)

* add pp stage manager as circle stage

* fix a bug when create process group

* add ppinfer basic framework

* add micro batch manager and support kvcache-pp gpt2 fwd

* add generate schedule

* use mb size to control mb number

* support generate with kv cache

* add output, remove unused code

* add test

* reuse shardformer to build model

* refactor some code and use the same attribute name of hf

* fix review and add test for generation

* remove unused file

* modify the way of saving newtokens

* modify to tieweight

* modify test

* remove unused file

* solve review

* add docstring

* [Pipeline inference] support llama pipeline inference (#4647)

* support llama pipeline inference

* remove tie weight operation

* [pipeline inference] Fix the blocking of communication when ppsize is 2 (#4708)

* add benchmark verbose

* fix export tokens

* fix benchmark verbose

* add P2POp style to do p2p communication

* modify schedule as p2p type when ppsize is 2

* remove unused code and add docstring

* [Pipeline inference] Refactor code, add docsting, fix bug (#4790)

* add benchmark script

* update argparse

* fix fp16 load

* refactor code style

* add docstring

* polish code

* fix test bug

* [Pipeline inference] Add pipeline inference docs (#4817)

* add readme doc

* add a ico

* Add performance

* update table of contents

* refactor code (#4873)
2023-10-11 11:40:06 +08:00
Hongxin Liu 079bf3cb26
[misc] update pre-commit and run all files (#4752)
* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
LuGY a78daf6180
[shardformer] support interleaved pipeline (#4448)
* support interleaved pipeline

* fix unit test

* remove virtual stage test in stage mgr

* add droped type hint and updated bwd
2023-08-16 19:29:03 +08:00
Baizhou Zhang ed4c448488 [pipeline] rewrite t5 tests & support multi-tensor transmitting in pipeline (#4388)
* fix remaining t5 bugs/rewrite t5 tests

* fix multi-tensor communication in pipeline

* rearrange test_config

* fix keyerror in sync_shared_params

* fix get_held_layers & Randomnizer, complete t5 tests

* erase printing

* fix get_held_layers through modifying _release_unheld_layers

* fix _get_recursive_held_layers bug
2023-08-15 23:25:14 +08:00
Hongxin Liu 261eab02fb [plugin] add 3d parallel plugin (#4295)
* [amp] add mixed precision optimizer

* [plugin] add 3d parallel plugin

* [booster] support pipeline

* [plugin] 3d parallel plugin support clip grad norm

* [shardformer] fix sharder and add plugin test

* [plugin] rename 3d parallel plugin

* [ci] support testmon core pkg change detection (#4305)

* [hotfix] debug testmon

* [hotfix] fix llama

* [hotfix] fix p2p bugs

* [hotfix] fix requirements
2023-08-15 23:25:14 +08:00
Jianghai d0807122e2 [pipeline] test pure pipeline process using llama (#4218)
* bloom policy

* llama pipeline forward and tests

* fix the output and attention_mask

* fix name

* bind argument to policy

* Revert "bloom policy"

This reverts commit 8dee68a0a2.

This policy should be revert and copied to feature/bloom

* revert the bloom changes

* cancel unneeded inputs

* gpt

* finish llama

* causal lm and sequence classification

* revision

* add pure pipeline test

* fixed version

* fixed version

* pure pipeline
2023-08-15 23:25:14 +08:00
Jianghai e7cc62d735 [pipeline] All bert models (#4233)
* bloom policy

* llama pipeline forward and tests

* fix the output and attention_mask

* fix name

* bind argument to policy

* Revert "bloom policy"

This reverts commit 8dee68a0a2.

This policy should be revert and copied to feature/bloom

* revert the bloom changes

* cancel unneeded inputs

* gpt

* finish llama

* causal lm and sequence classification

* revision

* add pure pipeline test

* finish some bert models

* finish all bert models

* finish bert tests

* fix bugs

* fix bugs

* fix test pipeline

* fix data gen for qa

* update the set pipeline forward

* shared params

* fix bugs
2023-08-15 23:25:14 +08:00
Hongxin Liu 45fdc9b42c [pipeline] implement p2p communication (#4100)
* [pipeline] add p2p communication

* [test] add p2p communication test

* [test] add rerun decorator

* [test] rename to avoid conflict
2023-08-15 23:25:14 +08:00