Commit Graph

282 Commits (b29e1f07224298aea35aab7ee83284beac28e0d8)

Author SHA1 Message Date
Boyuan Yao b414eaa5db [NFC] polish colossalai/nn/optimizer/lamb.py code style (#1275) 2022-07-13 12:08:21 +08:00
Super Daniel 52d145a342 [NFC] polish colossalai/nn/lr_scheduler/onecycle.py code style (#1269) 2022-07-13 12:08:21 +08:00
Geng Zhang 0e06f62160 [NFC] polish colossalai/nn/layer/parallel_sequence/_operation.py code style (#1266) 2022-07-13 12:08:21 +08:00
superhao1995 f660152c73 [NFC] polish colossalai/nn/layer/parallel_3d/_operation.py code style (#1258)
Co-authored-by: Research <research@soccf-snr3-017.comp.nus.edu.sg>
2022-07-13 12:08:21 +08:00
Thunderbeee 9738fb0f78 [NFC] polish colossalai/nn/lr_scheduler/__init__.py (#1255)
code style
2022-07-13 12:08:21 +08:00
Ofey Chan 2dd4d556fb
[NFC] polish colossalai/nn/init.py code style (#1292) 2022-07-13 10:51:55 +08:00
HELSON abba4d84e1
[hotfix] fix bert model test in unitests (#1272) 2022-07-12 23:26:45 +08:00
oahzxl 0cf8e8e91c
[NFC] polish <colossalai/nn/lr_scheduler/poly.py> code style (#1267) 2022-07-12 18:18:14 +08:00
Jiarui Fang 1aad903c15
[tensor] redistribute among different process groups (#1247)
* make it faster

* [tensor] rename convert_to_dist -> redistribute

* [tensor] ShardSpec and ReplicaSpec

* [tensor] redistribute among diff pgs

* polish code
2022-07-12 10:24:05 +08:00
Jiarui Fang 9bcd2fd4af
[tensor] a shorter shard and replicate spec (#1245) 2022-07-11 15:51:48 +08:00
Jiarui Fang 2699dfbbfd
[rename] convert_to_dist -> redistribute (#1243) 2022-07-11 13:05:44 +08:00
Jiarui Fang 4a76084dc9
[tensor] add zero_like colo op, important for Optimizer (#1236) 2022-07-08 14:55:27 +08:00
Jiarui Fang 3b500984b1
[tensor] fix some unittests (#1234) 2022-07-08 14:18:30 +08:00
HELSON 0453776def
[tensor] fix a assertion in colo_tensor cross_entropy (#1232) 2022-07-08 11:18:00 +08:00
HELSON 42ab36b762
[tensor] add unitest for colo_tensor 1DTP cross_entropy (#1230) 2022-07-07 19:17:23 +08:00
Yi Zhao 04537bf83e
[checkpoint]support generalized scheduler (#1222) 2022-07-07 18:16:38 +08:00
Jiarui Fang a98319f023
[tensor] torch function return colotensor (#1229) 2022-07-07 18:09:18 +08:00
Jiarui Fang ae7d3f4927
[refactor] move process group from _DistSpec to ColoTensor. (#1203) 2022-07-06 16:15:16 +08:00
Jiarui Fang b5f25eb32a
[Tensor] add cpu group to ddp (#1200) 2022-07-05 14:58:28 +08:00
Jiarui Fang 060b917daf
[refactor] remove gpc dependency in colotensor's _ops (#1189) 2022-07-04 18:54:37 +08:00
Jiarui Fang 372f791444
[refactor] move chunk and chunkmgr to directory gemini (#1182) 2022-06-29 13:31:02 +08:00
ver217 6b2f2ab9bb
[ddp] ColoDDP uses bucket all-reduce (#1177)
* add reducer

* update colo ddp with reducer

* polish unit test

* polish unit test
2022-06-29 10:34:13 +08:00
Jiarui Fang 1b657f9ce1
[tensor] revert local view back (#1178) 2022-06-27 18:38:34 +08:00
Jiarui Fang 0dd4e2bbfb
[Tensor] rename some APIs in TensorSpec and Polish view unittest (#1176) 2022-06-27 15:56:11 +08:00
Ziyue Jiang dd0420909f
[Tensor] rename parallel_action (#1174)
* rename parallel_action

* polish
2022-06-27 10:04:45 +08:00
Jiarui Fang aa7bef73d4
[Tensor] distributed view supports inter-process hybrid parallel (#1169) 2022-06-27 09:45:26 +08:00
Jiarui Fang 4b9bba8116
[ColoTensor] rename APIs and add output_replicate to ComputeSpec (#1168) 2022-06-24 13:08:54 +08:00
Jiarui Fang f4ef224358
[Tensor] remove ParallelAction, use ComputeSpec instread (#1166) 2022-06-23 17:34:59 +08:00
Jiarui Fang 177c374401
remove gather out in parallel action (#1163) 2022-06-23 16:35:05 +08:00
Ziyue Jiang 955ac912de
remove log (#1160) 2022-06-23 10:32:42 +08:00
Jiarui Fang 07f9c781f9
[graph] improve the graph building. (#1157) 2022-06-22 16:47:20 +08:00
ver217 22717a856f
[tensor] add embedding bag op (#1156) 2022-06-22 15:54:03 +08:00
ver217 ae86151968
[tensor] add more element-wise ops (#1155)
* add more element-wise ops

* update test_op

* polish unit test
2022-06-22 15:16:47 +08:00
ver217 54aabb8da4
[gemini] refactor gemini mgr (#1151)
* refactor gemini mgr

* udpate __init__
2022-06-22 11:54:36 +08:00
ver217 8106d7b8c7
[ddp] refactor ColoDDP and ZeroDDP (#1146)
* ColoDDP supports overwriting default process group

* rename ColoDDPV2 to ZeroDDP

* add docstr for ZeroDDP

* polish docstr
2022-06-21 16:35:23 +08:00
ver217 ccf3c58c89
embedding op use gather_out (#1143) 2022-06-21 13:21:20 +08:00
Frank Lee 15aab1476e
[zero] avoid zero hook spam by changing log to debug level (#1137) 2022-06-21 10:44:01 +08:00
ver217 e4f555f29a
[optim] refactor fused sgd (#1134) 2022-06-20 11:19:38 +08:00
ver217 d26902645e
[ddp] add save/load state dict for ColoDDP (#1127)
* add save/load state dict for ColoDDP

* add unit test

* refactor unit test folder

* polish unit test

* rename unit test
2022-06-20 10:51:47 +08:00
ver217 f0a954f16d
[ddp] add set_params_to_ignore for ColoDDP (#1122)
* add set_params_to_ignore for ColoDDP

* polish code

* fix zero hook v2

* add unit test

* polish docstr
2022-06-16 12:54:46 +08:00
ver217 e127b4375b
cast colo ddp v2 inputs/outputs (#1120) 2022-06-15 15:57:04 +08:00
ver217 7d14b473f0
[gemini] gemini mgr supports "cpu" placement policy (#1118)
* update gemini mgr

* update chunk

* add docstr

* polish placement policy

* update test chunk

* update test zero

* polish unit test

* remove useless unit test
2022-06-15 15:05:19 +08:00
ver217 895c1c5ee7
[tensor] refactor param op hook (#1097)
* refactor param op hook

* add docstr

* fix bug
2022-06-13 16:11:53 +08:00
Frank Lee cb18922c47
[doc] added documentation to chunk and chunk manager (#1094)
* [doc] added documentation to chunk and chunk manager

* polish code

* polish code

* polish code
2022-06-10 15:33:06 +08:00
ver217 1f894e033f
[gemini] zero supports gemini (#1093)
* add placement policy

* add gemini mgr

* update mem stats collector

* update zero

* update zero optim

* fix bugs

* zero optim monitor os

* polish unit test

* polish unit test

* add assert
2022-06-10 14:48:28 +08:00
Frank Lee 2b2dc1c86b
[pipeline] refactor the pipeline module (#1087)
* [pipeline] refactor the pipeline module

* polish code
2022-06-10 11:27:38 +08:00
ver217 be01db37c8
[tensor] refactor chunk mgr and impl MemStatsCollectorV2 (#1077)
* polish chunk manager

* polish unit test

* impl add_extern_static_tensor for chunk mgr

* add mem stats collector v2

* polish code

* polish unit test

* polish code

* polish get chunks
2022-06-09 20:56:34 +08:00
Ziyue Jiang 0653c63eaa
[Tensor] 1d row embedding (#1075)
* Add CPU 1d row embedding

* polish
2022-06-08 12:04:59 +08:00
Ziyue Jiang 4fc748f69b
[Tensor] fix optimizer for CPU parallel (#1069) 2022-06-06 17:36:11 +08:00
Jiarui Fang 49832b2344
[refactory] add nn.parallel module (#1068) 2022-06-06 15:34:41 +08:00
Ziyue Jiang 6754f1b77f
fix module utils bug (#1066) 2022-06-06 12:11:48 +08:00
Jiarui Fang a00644079e
reorgnize colotensor directory (#1062)
* reorgnize colotensor directory

* polish code
2022-06-03 18:04:22 +08:00
Ziyue Jiang df9dcbbff6
[Tensor] add hybrid device demo and fix bugs (#1059) 2022-06-03 12:09:49 +08:00
ver217 51b9a49655
[zero] add zero optimizer for ColoTensor (#1046)
* add zero optimizer

* torch ok

* unit test ok

* polish code

* fix bugs

* polish unit test

* polish zero optim

* polish colo ddp v2

* refactor folder structure

* add comment

* polish unit test

* polish zero optim

* polish unit test
2022-06-02 12:13:15 +08:00
ver217 9492a561c3
[tensor] ColoTensor supports ZeRo (#1015)
* impl chunk manager

* impl param op hook

* add reduce_chunk

* add zero hook v2

* add zero dp

* fix TensorInfo

* impl load balancing when using zero without chunk

* fix zero hook

* polish chunk

* fix bugs

* ddp ok

* zero ok

* polish code

* fix bugs about load balancing

* polish code

* polish code

* add ene-to-end test

* polish code

* polish code

* polish code

* fix typo

* add test_chunk

* fix bugs

* fix bugs

* polish code
2022-05-31 12:00:12 +08:00
ver217 cefc29ff06
[tensor] impl ColoDDP for ColoTensor (#1009)
* impl ColoDDP for ColoTensor

* polish code
2022-05-21 13:52:04 +08:00
Ziheng Qin 571f12eff3 [NFC] polish colossalai/nn/layer/utils/common.py code style (#983) 2022-05-17 10:25:06 +08:00
shenggan 18542b47fc [NFC] polish colossalai/nn/layer/parallel_2d/layers.py code style (#976) 2022-05-17 10:25:06 +08:00
Zirui Zhu 598cde4a0f [NFC] polish colossalai/nn/layer/parallel_2p5d/layers.py code style (#972) 2022-05-17 10:25:06 +08:00
LuGY fb5bc6cb28 [NFC] polish colossalai/nn/layer/parallel_3d/layers.py code style (#966) 2022-05-17 10:25:06 +08:00
ver217 58580b50fe
Revert "[NFC] Hotfix/format (#984)" (#986)
This reverts commit 0772828fba.
2022-05-17 10:23:38 +08:00
binmakeswell 0772828fba
[NFC] Hotfix/format (#984)
* [NFC] Polish colossalai/kernel/cuda_native/csrc/multi_tensor_lamb.cu code style. (#937)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cuda_util.h code style (#939)

* [NFC] polish colossalai/kernel/cuda_native/csrc/cpu_adam.cpp code style (#936)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/block_reduce.h code style (#938)

* [NFC] polish moe_cuda_kernel.cu code style (#940)

Co-authored-by: Xiao Ye <xiaoye2@illinois.edu>

* [NFC] polish pre-commit run --files colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax_cuda.cu code style (#943)

* [NFC] polish colossalai/kernel/cuda_native/csrc/moe_cuda.cpp code style (#942)

* [NFC] polish colossalai/kernel/cuda_native/csrc/cpu_adam.h code style (#945)

* [NFC] polish colossalai/kernel/jit/bias_gelu.py code style (#946)

Co-authored-by: jnbai <897086360@qq.com>

* [NFC] polish colossalai/kernel/cuda_native/csrc/scaled_masked_softmax_cuda.cu code style (#949)

Co-authored-by: Jiatong <jiatong.han@u.nus.edu>

* [NFC] polish colossalai/builder/pipeline.py code style (#951)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multihead_attention_1d.cpp code style (#952)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/cross_entropy.cu code style (#953)

Co-authored-by: 何晓昕 <cautious@hexiaoxins-MacBook-Pro.local>

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/softmax_kernels.cu code style (#954)

* [NFC] polish colossalai/kernel/cuda_native/scaled_softmax.py  code style (#955)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/context.h code style (#956)

Co-authored-by: RichardoLuo <14049555596@qq.com>

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cross_entropy_layer.h code style (#957)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_l2norm_kernel.cu code style (#958)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multihead_attention_1d.h code style (#962)

* [NFC] polish colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp code style (#959)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/general_kernels.cu code style (#963)

Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/softmax.h code style (#964)

* [NFC] polish __init__.py code style (#965)

* [NFC] polish colossalai/nn/layer/parallel_3d/layers.py code style (#966)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/feed_forward.h (#968)

code style

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/dropout.h code style (#970)

* [NFC] polish colossalai/nn/layer/parallel_2p5d/layers.py code style (#972)

* [NFC] polish colossalai/kernel/cuda_native/csrc/layer_norm_cuda.cpp code style (#973)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/normalize_kernels.cu code style (#974)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_scale_kernel.cu code style (#977)

* [NFC] polish colossalai/nn/layer/parallel_2d/layers.py code style (#976)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_sgd_kernel.cu code style (#978)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/dropout_kernels.cu code style (#979)

* [NFC] polish colossalai/kernel/cuda_native/layer_norm.py code style (#980)

* [NFC] polish colossalai/nn/layer/utils/common.py code style (#983)

Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
Co-authored-by: yuxuan-lou <83441848+yuxuan-lou@users.noreply.github.com>
Co-authored-by: Geng Zhang <34452939+zxgx@users.noreply.github.com>
Co-authored-by: Maruyama_Aya <38985202+MaruyamaAya@users.noreply.github.com>
Co-authored-by: XYE <92607131+Itok2000u@users.noreply.github.com>
Co-authored-by: Xiao Ye <xiaoye2@illinois.edu>
Co-authored-by: HaoyuQin <79465534+coder-chin@users.noreply.github.com>
Co-authored-by: wky <64853922+wangkuangyi@users.noreply.github.com>
Co-authored-by: bajiaoyu517 <59548007+bajiaoyu517@users.noreply.github.com>
Co-authored-by: luoling-LC <105470086+luoling-LC@users.noreply.github.com>
Co-authored-by: jnbai <897086360@qq.com>
Co-authored-by: JT.Han <59948448+JThh@users.noreply.github.com>
Co-authored-by: Jiatong <jiatong.han@u.nus.edu>
Co-authored-by: xyupeng <99191637+xyupeng@users.noreply.github.com>
Co-authored-by: Sze-qq <68757353+Sze-qq@users.noreply.github.com>
Co-authored-by: Cautiousss <48676630+Cautiousss@users.noreply.github.com>
Co-authored-by: 何晓昕 <cautious@hexiaoxins-MacBook-Pro.local>
Co-authored-by: Luxios22 <67457897+Luxios22@users.noreply.github.com>
Co-authored-by: Wangbo Zhao(黑色枷锁) <56866854+wangbo-zhao@users.noreply.github.com>
Co-authored-by: RichardoLuo <50363844+RichardoLuo@users.noreply.github.com>
Co-authored-by: RichardoLuo <14049555596@qq.com>
Co-authored-by: doubleHU <98150031+huxin711@users.noreply.github.com>
Co-authored-by: runluo <68489000+run-qiao@users.noreply.github.com>
Co-authored-by: MaxT <854721132@qq.com>
Co-authored-by: superhao1995 <804673818@qq.com>
Co-authored-by: ziyu huang <huang0ziyu@gmail.com>
Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>
Co-authored-by: Yuer867 <62204893+Yuer867@users.noreply.github.com>
Co-authored-by: lucasliunju <lucasliunju@gmail.com>
Co-authored-by: LuGY <74758262+Gy-Lu@users.noreply.github.com>
Co-authored-by: ExtremeViscent <zhangyiqi55732@sina.com>
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Zirui Zhu <zhuzr21@gmail.com>
Co-authored-by: Ofey Chan <ofey206@gmail.com>
Co-authored-by: DouJS <dujiangsu@163.com>
Co-authored-by: Jie Zhu <chore.08-protist@icloud.com>
Co-authored-by: shenggan <csg19971016@gmail.com>
Co-authored-by: Kai Wang (Victor Kai) <37533040+kaiwang960112@users.noreply.github.com>
Co-authored-by: puck_WCR <46049915+WANG-CR@users.noreply.github.com>
Co-authored-by: Ziheng Qin <37519855+henryqin1997@users.noreply.github.com>
2022-05-17 09:54:49 +08:00
HELSON e5ea3fdeef
[gemini] add GeminiMemoryManger (#832)
* refactor StatefulTensor, tensor utilities

* add unitest for GeminiMemoryManager
2022-04-24 13:08:48 +08:00
Ziyue Jiang 4b01da24cd
[TP] change the check assert in split batch 2d (#772) 2022-04-16 21:29:57 +08:00
アマデウス b8899e0905
[TP] allow layernorm without bias (#750) 2022-04-14 11:43:56 +08:00
Frank Lee eda30a058e
[compatibility] fixed tensor parallel compatibility with torch 1.9 (#700) 2022-04-11 13:44:50 +08:00
HELSON a9b8300d54
[zero] improve adaptability for not-shard parameters (#708)
* adapt post grad hooks for not-shard parameters
* adapt optimizer for not-shard parameters
* offload gradients for not-replicated parameters
2022-04-11 13:38:51 +08:00
アマデウス 3fc8a204dc
[]Corrected 3d vocab parallel embedding (#707) 2022-04-11 10:17:55 +08:00
HELSON b31daed4cf
fix bugs in CPU adam (#633)
* add cpu adam counter for all cpu adam

* fixed updating error in adam kernel
2022-04-02 17:04:05 +08:00
Liang Bowen 828e465622
[hotfix] Raise messages for indivisible batch sizes with tensor parallelism (#622) 2022-04-02 16:12:04 +08:00
アマデウス 77ad24bf94
[model checkpoint] updated saving/loading for 3d layers (#597) 2022-04-01 16:52:47 +08:00
アマデウス 93089ed708
[model checkpoint] updated saving/loading for 2.5d layers (#596) 2022-04-01 16:52:33 +08:00
アマデウス c50bfb807b
[model checkpoint] updated saving/loading for 1d layers (#594) 2022-04-01 16:51:52 +08:00
アマデウス 7636d518e1
[model checkpoint] updated saving/loading for 2d layers (#595) 2022-04-01 16:50:34 +08:00
アマデウス cd13b63832
[model checkpoint] reworked unified layers for ease of save/load states (#593) 2022-04-01 16:49:56 +08:00
Ziyue Jiang 1c40ee8749
[TP] add assert for tp1d (#621) 2022-04-01 16:44:23 +08:00
ver217 e619a651fb
polish optimizer docstring (#619) 2022-04-01 16:27:03 +08:00
ver217 8432dc7080
polish moe docsrting (#618) 2022-04-01 16:15:36 +08:00
ver217 104cbbb313
[hotfix] add hybrid adam to __init__ (#584) 2022-03-31 19:08:34 +08:00
HELSON e6d50ec107
[zero] adapt zero for unsharded parameters (#561)
* support existing sharded and unsharded parameters in zero

* add unitest for moe-zero model init

* polish moe gradient handler
2022-03-31 18:34:11 +08:00
Wesley 46c9ba33da update code format 2022-03-31 17:15:08 +08:00
Wesley 666cfd094a fix parallel_input flag for Linear1D_Col gather_output 2022-03-31 17:15:08 +08:00
Liang Bowen 2c45efc398
html refactor (#555) 2022-03-31 11:36:56 +08:00
LuGY c44d797072
[docs] updatad docs of hybrid adam and cpu adam (#552) 2022-03-30 18:14:59 +08:00
Ziyue Jiang 763dc325f1
[TP] Add gather_out arg to Linear (#541) 2022-03-30 09:35:46 +08:00
HELSON 8c90d4df54
[zero] add zero context manager to change config during initialization (#546) 2022-03-29 17:57:59 +08:00
Liang Bowen ec5086c49c Refactored docstring to google style 2022-03-29 17:17:47 +08:00
LuGY 105c5301c3
[zero]added hybrid adam, removed loss scale in adam (#527)
* [zero]added hybrid adam, removed loss scale of adam

* remove useless code
2022-03-25 18:03:54 +08:00
LuGY 6a3f9fda83
[cuda] modify the fused adam, support hybrid of fp16 and fp32 (#497) 2022-03-25 14:15:53 +08:00
Jiarui Fang a445e118cf
[polish] polish singleton and global context (#500) 2022-03-23 18:03:39 +08:00
ver217 9ec1ce6ab1
[zero] sharded model support the reuse of fp16 shard (#495)
* sharded model supports reuse fp16 shard

* rename variable

* polish code

* polish code

* polish code
2022-03-23 14:59:59 +08:00
HELSON c9023d4078
[MOE] support PR-MOE (#488) 2022-03-22 16:48:22 +08:00
ver217 62b0a8d644
[zero] sharded optim support hybrid cpu adam (#486)
* sharded optim support hybrid cpu adam

* update unit test

* polish docstring
2022-03-22 14:56:59 +08:00
HELSON d7ea63992b
[MOE] add FP32LinearGate for MOE in NaiveAMP context (#480) 2022-03-22 10:50:20 +08:00
Jiarui Fang 65c0f380c2
[format] polish name format for MOE (#481) 2022-03-21 23:19:47 +08:00
HELSON 7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel (#469) 2022-03-21 13:35:04 +08:00
HELSON aff9d354f7
[MOE] polish moe_env (#467) 2022-03-19 15:36:25 +08:00
HELSON bccbc15861
[MOE] changed parallelmode to dist process group (#460) 2022-03-19 13:46:29 +08:00
Jiarui Fang 0fcfb1e00d
[test] make zero engine test really work (#447) 2022-03-17 17:24:25 +08:00
Jiarui Fang 237d08e7ee
[zero] hybrid cpu adam (#445) 2022-03-17 15:05:41 +08:00
HELSON dbdc9a7783
added Multiply Jitter and capacity factor eval for MOE (#434) 2022-03-16 16:47:44 +08:00
HELSON 3f70a2b12f
removed noisy function during evaluation of MoE router (#419) 2022-03-15 12:06:09 +08:00
Jiang Zhuo 5a4a3b77d9 fix format (#376) 2022-03-11 15:50:28 +08:00
LuGY de46450461 Added activation offload (#331)
* Added activation offload

* Fixed the import bug, used the pytest
2022-03-11 15:50:28 +08:00
Kai Wang (Victor Kai) 53bb3bcc0a fix format (#362) 2022-03-11 15:50:28 +08:00
Yuer867 4a0f8c2c50 fix format parallel_2p5d (#357) 2022-03-11 15:50:28 +08:00
Liang Bowen 7eb87f516d flake8 style (#352) 2022-03-11 15:50:28 +08:00
xuqifan897 148207048e Qifan formated file ColossalAI\colossalai\nn\layer\parallel_1d\layers.py (#342) 2022-03-11 15:50:28 +08:00
DouJS cbb6436ff0 fix format for dir-[parallel_3d] (#333) 2022-03-11 15:50:28 +08:00
LuGY a3269de5c9 [zero] cpu adam kernel (#288)
* Added CPU Adam

* finished the cpu adam

* updated the license

* delete useless parameters, removed resnet

* modified the method off cpu adam unittest

* deleted some useless codes

* removed useless codes

Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: jiaruifang <fangjiarui123@gmail.com>
2022-03-11 15:50:28 +08:00
1SAA 82023779bb Added TPExpert for special situation 2022-03-11 15:50:28 +08:00
HELSON 36b8477228 Fixed parameter initialization in FFNExpert (#251) 2022-03-11 15:50:28 +08:00
アマデウス e13293bb4c fixed CI dataset directory; fixed import error of 2.5d accuracy (#255) 2022-03-11 15:50:28 +08:00
1SAA 219df6e685 Optimized MoE layer and fixed some bugs;
Decreased moe tests;

Added FFNExperts and ViTMoE model
2022-03-11 15:50:28 +08:00
zbian 3dba070580 fixed padding index issue for vocab parallel embedding layers; updated 3D linear to be compatible with examples in the tutorial 2022-03-11 15:50:28 +08:00
アマデウス 9ee197d0e9 moved env variables to global variables; (#215)
added branch context;
added vocab parallel layers;
moved split_batch from load_batch to tensor parallel embedding layers;
updated gpt model;
updated unit test cases;
fixed few collective communicator bugs
2022-02-15 11:31:13 +08:00
HELSON 0f8c7f9804
Fixed docstring in colossalai (#171) 2022-01-21 10:44:30 +08:00
Frank Lee e2089c5c15
adapted for sequence parallel (#163) 2022-01-20 13:44:51 +08:00
ver217 f68eddfb3d
refactor kernel (#142) 2022-01-13 16:47:17 +08:00
BoxiangW 4a3d3446b0
Update layer integration documentations (#108)
Update the documentations of layer integration

Update _log_hook.py

Update _operation.py
2022-01-10 18:05:58 +08:00
HELSON dceae85195
Added MoE parallel (#127) 2022-01-07 15:08:36 +08:00
ver217 7904baf6e1
fix layers/schedule for hybrid parallelization (#111) (#112) 2022-01-04 20:52:31 +08:00
ver217 96780e6ee4
Optimize pipeline schedule (#94)
* add pipeline shared module wrapper and update load batch

* added model parallel process group for amp and clip grad (#86)

* added model parallel process group for amp and clip grad

* update amp and clip with model parallel process group

* remove pipeline_prev/next group (#88)

* micro batch offload

* optimize pipeline gpu memory usage

* pipeline can receive tensor shape (#93)

* optimize pipeline gpu memory usage

* fix grad accumulation step counter

* rename classes and functions

Co-authored-by: Frank Lee <somerlee.9@gmail.com>
2021-12-30 15:56:46 +08:00
アマデウス 01a80cd86d
Hotfix/Colossalai layers (#92)
* optimized 1d layer apis; reorganized nn.layer modules; fixed tests

* fixed 2.5d runtime issue

* reworked split batch, now called in trainer.schedule.load_batch

Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-29 23:32:10 +08:00
アマデウス 0fedef4f3c
Layer integration (#83)
* integrated parallel layers for ease of building models

* integrated 2.5d layers

* cleaned codes and unit tests

* added log metric by step hook; updated imagenet benchmark; fixed some bugs

* reworked initialization; cleaned codes

Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-27 15:04:32 +08:00
HELSON 632e622de8
overlap computation and communication in 2d operations (#75) 2021-12-16 16:05:15 +08:00
Frank Lee 35813ed3c4
update examples and sphnix docs for the new api (#63) 2021-12-13 22:07:01 +08:00
Frank Lee da01c234e1
Develop/experiments (#59)
* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

* Split conv2d, class token, positional embedding in 2d, Fix random number in ddp
Fix convergence in cifar10, Imagenet1000

* Integrate 1d tensor parallel in Colossal-AI (#39)

* fixed 1D and 2D convergence (#38)

* optimized 2D operations

* fixed 1D ViT convergence problem

* Feature/ddp (#49)

* remove redundancy func in setup (#19) (#20)

* use env to control the language of doc (#24) (#25)

* Support TP-compatible Torch AMP and Update trainer API (#27)

* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>

* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29)

* add explanation for ViT example (#35) (#36)

* support torch ddp

* fix loss accumulation

* add log for ddp

* change seed

* modify timing hook

Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* Feature/pipeline (#40)

* remove redundancy func in setup (#19) (#20)

* use env to control the language of doc (#24) (#25)

* Support TP-compatible Torch AMP and Update trainer API (#27)

* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>

* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29)

* add explanation for ViT example (#35) (#36)

* optimize communication of pipeline parallel

* fix grad clip for pipeline

Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* optimized 3d layer to fix slow computation ; tested imagenet performance with 3d; reworked lr_scheduler config definition; fixed launch args; fixed some printing issues; simplified apis of 3d layers (#51)

* Update 2.5d layer code to get a similar accuracy on imagenet-1k dataset

* update api for better usability (#58)

update api for better usability

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: puck_WCR <46049915+WANG-CR@users.noreply.github.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-09 15:08:29 +08:00
ver217 dbe62c67b8
add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29) 2021-11-18 23:45:09 +08:00
Frank Lee 3defa32aee
Support TP-compatible Torch AMP and Update trainer API (#27)
* Add gradient accumulation, fix lr scheduler

* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)

* fixed bugs in compatibility between torch amp and tensor parallel and performed some minor fixes

* fixed trainer

* Revert "fixed trainer"

This reverts commit 2e0b0b7699.

* improved consistency between trainer, engine and schedule (#23)

Co-authored-by: 1SAA <c2h214748@gmail.com>

Co-authored-by: 1SAA <c2h214748@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>
2021-11-18 19:45:06 +08:00
ver217 3c7604ba30 update documentation 2021-10-29 09:29:20 +08:00
zbian 404ecbdcc6 Migrated project 2021-10-28 18:21:23 +02:00