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1618 Commits (50e5602c2d6c8e25ad544cbecc38649e5257e7b8)

Author SHA1 Message Date
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
Frank Lee 50ec3a7e06
[test] skip tests when not enough GPUs are detected (#1090) 
* [test] skip tests when not enough GPUs are detected

* polish code

* polish code
 2022-06-09 17:19:13 +08:00
Ziyue Jiang 0653c63eaa
[Tensor] 1d row embedding (#1075) 
* Add CPU 1d row embedding

* polish
 2022-06-08 12:04:59 +08:00
junxu d66ffb4df4
Remove duplication registry (#1078) 2022-06-08 07:47:24 +08:00
Jiarui Fang bcab249565
fix issue #1080 (#1071) 2022-06-07 17:21:11 +08:00
ver217 1b17859328
[tensor] chunk manager monitor mem usage (#1076) 2022-06-07 15:00:00 +08:00
ver217 98cdbf49c6
[hotfix] fix chunk comm src rank (#1072) 2022-06-07 11:54:56 +08:00
Frank Lee bfdc5ccb7b
[context] maintain the context object in with statement (#1073) 2022-06-07 10:48:45 +08:00
ver217 c5cd3b0f35
[zero] zero optim copy chunk rather than copy tensor (#1070) 2022-06-07 10:30:46 +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
Frank Lee 3d10be33bd
[cudnn] set False to cudnn benchmark by default (#1063) 2022-06-03 17:58:06 +08:00
Ziyue Jiang df9dcbbff6
[Tensor] add hybrid device demo and fix bugs (#1059) 2022-06-03 12:09:49 +08:00
YuliangLiu0306 b167258b6a
[pipeline]refactor ppschedule to support tensor list (#1050) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* refactor ppschedule to support tensor list

* polish
 2022-06-02 13:48:59 +08:00
ver217 e3fde4ee6b
fix import error in sharded model v2 (#1053) 2022-06-02 13:48:22 +08:00
ver217 e1922ea4f6
[zero] add chunk size search for chunk manager (#1052) 2022-06-02 13:20:20 +08:00
アマデウス 2c42b230f3
updated collective ops api (#1054) 2022-06-02 12:52:27 +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 7faef93326
fix dist spec mgr (#1045) 2022-05-31 12:14:39 +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
Ziyue Jiang 7c530b9de2
[Tensor] add Parameter inheritance for ColoParameter (#1041) 
* add Parameter inheritance for ColoParameter

* remove tricks

* remove tricks

* polish

* polish
 2022-05-30 17:23:44 +08:00
ver217 7cfd6c827e
[zero] add load_state_dict for sharded model (#894) 
* add load_state_dict for sharded model

* fix bug

* fix bug

* fix ckpt dtype and device

* support load state dict in zero init ctx

* fix bugs
 2022-05-27 10:25:08 +08:00
Ziyue Jiang 6c5996a56e
[Tensor] add module check and bert test (#1031) 
* add Embedding

* Add bert test

* polish

* add check module test

* polish

* polish

* polish

* polish
 2022-05-26 18:15:42 +08:00
YuliangLiu0306 7106bd671d
[p2p]add object list send/recv (#1024) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [p2p]add object list send recv

* refactor for code reusability

* polish
 2022-05-26 14:28:46 +08:00
Frank Lee e4685832f8
[engine] fixed bug in gradient accumulation dataloader to keep the last step (#1030) 2022-05-26 14:28:23 +08:00
Ziyue Jiang 32291dd73f
[Tensor] add module handler for linear (#1021) 
* add module spec for linear

* polish

* polish

* polish
 2022-05-26 11:50:44 +08:00
Ryan Russell 9b0c037027
fix typo in constants (#1027) 2022-05-26 08:45:08 +08:00
ver217 007ca0df92
fix colo init context (#1026) 2022-05-25 20:41:58 +08:00
YuliangLiu0306 d182b0bd47
[hotfix] fix some bugs caused by size mismatch. (#1011) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [hotfix]fix some bugs caused by size mismatch.

* add warning logs

* polish
 2022-05-23 14:02:28 +08:00
ver217 cefc29ff06
[tensor] impl ColoDDP for ColoTensor (#1009) 
* impl ColoDDP for ColoTensor

* polish code
 2022-05-21 13:52:04 +08:00
zhengzangw ae7c338105 [NFC] polish colossalai/kernel/cuda_native/csrc/colossal_C_frontend.cpp code style 2022-05-20 23:57:38 +08:00
ver217 a3b66f6def
[tensor] refactor parallel action (#1007) 
* refactor parallel action

* polish unit tests
 2022-05-20 20:19:58 +08:00
ver217 ad536e308e
[tensor] refactor colo-tensor (#992) 
* refactor colo-tensor and update linear op

* polish code

* polish code

* update ops and unit tests

* update unit tests

* polish code

* rename dist_spec module

* polish code

* polish code

* remove unneeded import

* fix pipelinable
 2022-05-19 12:44:59 +08:00
Frank Lee 1467d83edf
[cli] remove unused imports (#1001) 2022-05-18 23:27:18 +08:00
Frank Lee 533d0c46d8
[kernel] fixed the include bug in dropout kernel (#999) 2022-05-18 21:43:18 +08:00
Jiarui Fang 802ac297cc
[Tensor] remove useless import in tensor dir (#997) 2022-05-18 14:54:51 +08:00
Ziheng Qin 571f12eff3 [NFC] polish colossalai/nn/layer/utils/common.py code style (#983) 2022-05-17 10:25:06 +08:00
puck_WCR bda70b4b66 [NFC] polish colossalai/kernel/cuda_native/layer_norm.py code style (#980) 2022-05-17 10:25:06 +08:00
Kai Wang (Victor Kai) c50c08dcbb [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/dropout_kernels.cu code style (#979) 2022-05-17 10:25:06 +08:00
binmakeswell f28c021376 [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_sgd_kernel.cu code style (#978) 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
Jie Zhu b67eebd20f [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_scale_kernel.cu code style (#977) 2022-05-17 10:25:06 +08:00
DouJS 52705ec5c5 [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/normalize_kernels.cu code style (#974) 2022-05-17 10:25:06 +08:00
Ofey Chan 136946422b [NFC] polish colossalai/kernel/cuda_native/csrc/layer_norm_cuda.cpp code style (#973) 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
Xu Kai 632e94abde [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/dropout.h code style (#970) 2022-05-17 10:25:06 +08:00
ExtremeViscent 22d1df224d [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/feed_forward.h (#968) 
code style
 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
lucasliunju 955463e542 [NFC] polish __init__.py code style (#965) 2022-05-17 10:25:06 +08:00
Yuer867 7106a399fc [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/softmax.h code style (#964) 2022-05-17 10:25:06 +08:00
ziyu huang 5bd80b7dd1 [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/general_kernels.cu code style (#963) 
Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>
 2022-05-17 10:25:06 +08:00
superhao1995 48c4a180c7 [NFC] polish colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp code style (#959) 2022-05-17 10:25:06 +08:00
MaxT 442a2975ab [NFC] polish colossalai/kernel/cuda_native/csrc/multihead_attention_1d.h code style (#962) 2022-05-17 10:25:06 +08:00
runluo 89e2767a92 [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_l2norm_kernel.cu code style (#958) 2022-05-17 10:25:06 +08:00
doubleHU 1dc1b6fa00 [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cross_entropy_layer.h code style (#957) 2022-05-17 10:25:06 +08:00
RichardoLuo 0e922da874 [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/context.h code style (#956) 
Co-authored-by: RichardoLuo <14049555596@qq.com>
 2022-05-17 10:25:06 +08:00
Wangbo Zhao(黑色枷锁) 8ca2a85682 [NFC] polish colossalai/kernel/cuda_native/scaled_softmax.py code style (#955) 2022-05-17 10:25:06 +08:00
Luxios22 f6970ef8b1 [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/softmax_kernels.cu code style (#954) 2022-05-17 10:25:06 +08:00
Cautiousss 0b86a6345e [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>
 2022-05-17 10:25:06 +08:00
Sze-qq d8d07b0e2b [NFC] polish colossalai/kernel/cuda_native/csrc/multihead_attention_1d.cpp code style (#952) 2022-05-17 10:25:06 +08:00
xyupeng fa43bb216d [NFC] polish colossalai/builder/pipeline.py code style (#951) 2022-05-17 10:25:06 +08:00
JT.Han c3e423c8be [NFC] polish colossalai/kernel/cuda_native/csrc/scaled_masked_softmax_cuda.cu code style (#949) 
Co-authored-by: Jiatong <jiatong.han@u.nus.edu>
 2022-05-17 10:25:06 +08:00
luoling-LC 72c71b67ec [NFC] polish colossalai/kernel/jit/bias_gelu.py code style (#946) 
Co-authored-by: jnbai <897086360@qq.com>
 2022-05-17 10:25:06 +08:00
bajiaoyu517 eb9a81d72a [NFC] polish colossalai/kernel/cuda_native/csrc/cpu_adam.h code style (#945) 2022-05-17 10:25:06 +08:00
wky 8ffdc38376 [NFC] polish colossalai/kernel/cuda_native/csrc/moe_cuda.cpp code style (#942) 2022-05-17 10:25:06 +08:00
HaoyuQin c0f373db5d [NFC] polish pre-commit run --files colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax_cuda.cu code style (#943) 2022-05-17 10:25:06 +08:00
XYE 5bbefeb06a [NFC] polish moe_cuda_kernel.cu code style (#940) 
Co-authored-by: Xiao Ye <xiaoye2@illinois.edu>
 2022-05-17 10:25:06 +08:00
Maruyama_Aya 7aa35eae6a [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/block_reduce.h code style (#938) 2022-05-17 10:25:06 +08:00
Geng Zhang b6cc9313ef [NFC] polish colossalai/kernel/cuda_native/csrc/cpu_adam.cpp code style (#936) 2022-05-17 10:25:06 +08:00
yuxuan-lou 44b6f8947b [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cuda_util.h code style (#939) 2022-05-17 10:25:06 +08:00
BoxiangW 872aa413c2 [NFC] Polish colossalai/kernel/cuda_native/csrc/multi_tensor_lamb.cu code style. (#937) 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
ver217 c2fdc6a011
[tensor] derive compute pattern from dist spec (#971) 
* derive compute pattern from dist spec

* polish code
 2022-05-16 14:58:08 +08:00
Ziyue Jiang 797a9dc5a9
add DistSpec for loss and test_model (#947) 2022-05-13 20:29:50 +08:00
ver217 67c33f57eb
[tensor] design DistSpec and DistSpecManager for ColoTensor (#934) 
* add dist spec

* update linear op

* polish code

* polish code

* update embedding op

* polish unit tests

* polish unit tests

* polish comments

* polish code

* add test_dist_spec_mgr

* polish code

* refactor folder structure

* polish unit tests

* add get_process_group() for TensorSpec

* polish code
 2022-05-13 15:13:52 +08:00
Ziyue Jiang d73c2b1d79
[Tensor] fix init context (#931) 
* change torch.Parameter to ColoParameter

* fix post assignment for init context

* polish

* polish
 2022-05-11 15:48:12 +08:00
Ziyue Jiang dfc88b85ea
[Tensor] simplify named param (#928) 
* simplify ColoModulize

* simplify ColoModulize

* polish

* polish
 2022-05-11 10:54:19 +08:00
YuliangLiu0306 32a45cd7ef
[pipelinable]use pipelinable to support GPT model. (#903) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [pipelinable]use pipelinable to support GPT model.

* fix a bug caused by ShardedModel

* polish

* fix front func list
 2022-05-11 09:23:58 +08:00
ver217 4ca732349e
[tensor] colo tensor overrides mul (#927) 
* colo tensor overrides mul

* polish code
 2022-05-10 16:04:08 +08:00
ver217 45b9124df4
[tensor] hijack addmm for colo tensor (#923) 
* hijack addmm for colo tensor

* fix bugs

* polish unit test

* polish comments
 2022-05-09 18:55:49 +08:00
Ziyue Jiang c195d2814c
[Tensor] add from_pretrained support and bert pretrained test (#921) 
* add from_pretrained support and test

* polish

* polish

* polish

* polish
 2022-05-09 16:11:47 +08:00
Jiarui Fang 845856ea29
[Graph] building computing graph with ColoTensor, Linear only (#917) 2022-05-07 17:10:37 +08:00
Ziyue Jiang 75d221918a
[Tensor] add 1d vocab loss (#918) 
* add 1d vocab loss

* polish
 2022-05-07 15:49:14 +08:00
Jiarui Fang ab95ec9aea
[Tensor] init ColoParameter (#914) 2022-05-06 12:57:14 +08:00
Ziyue Jiang f593a5637e
[Tensor] add embedding tp1d row (#904) 2022-04-29 14:10:05 +08:00
Ziyue Jiang 2c0d19d755
[Tensor] add ColoTensor TP1Dcol Embedding (#899) 2022-04-28 17:45:06 +08:00
Jiarui Fang d16671da75
[Tensor] initialize the ColoOptimizer (#898) 
* [Tensor] activation is an attr of ColoTensor

* [Tensor] add optimizer

* only detach parameters in context

* polish code
 2022-04-28 15:23:40 +08:00
Jiarui Fang 676f191532
[Tensor] activation is an attr of ColoTensor (#897) 2022-04-28 14:43:22 +08:00
Ziyue Jiang cb182da7c5
[tensor] refine linear and add gather for laynorm (#893) 
* refine linear and add function to ColoTensor

* add gather for layernorm

* polish

* polish
 2022-04-28 10:55:40 +08:00
Jiarui Fang 26c49639d8
[Tensor] overriding paramters() for Module using ColoTensor (#889) 2022-04-27 15:28:59 +08:00
Ziyue Jiang 1d0aba4153
[tensor] add ColoTensor 1Dcol (#888) 2022-04-27 14:13:55 +08:00
Jiarui Fang 72cdc06875
[Tensor] make ColoTensor more robust for getattr (#886) 
* [Tensor] make ColoTensor more robust for getattr

* polish

* polish
 2022-04-27 10:57:49 +08:00
Ziyue Jiang 9bc5a77c31
[tensor] wrap function in the torch_tensor to ColoTensor (#881) 2022-04-26 20:13:56 +08:00
ver217 4df6471f5d
fix import error (#880) 2022-04-26 19:28:40 +08:00
Jiarui Fang 7f76517a85
[Tensor] make a simple net works with 1D row TP (#879) 2022-04-26 18:11:47 +08:00
ver217 c4d903e64a
[gemini] accelerate adjust_layout() (#878) 
* add lru cache

* polish code

* update unit test

* fix sharded optim
 2022-04-26 18:08:31 +08:00
Jiarui Fang 909211453b
[Tensor] Add some attributes to ColoTensor (#877) 
* [Tensor] add some function to ColoTensor

* torch.allclose

* rm torch.add
 2022-04-26 15:10:47 +08:00
HELSON 425b4a96b8
[gemini] polish stateful_tensor_mgr (#876) 2022-04-26 15:05:03 +08:00
Jiarui Fang e43f83aa5c
[Tensor] get named parameters for model using ColoTensors (#874) 2022-04-26 14:08:01 +08:00
Jiarui Fang 96211c2cc8
[tensor] customized op returns ColoTensor (#875) 
* [tensor] customized op returns ColoTensor

* polish

* polish code
 2022-04-26 13:23:59 +08:00
Ziyue Jiang 26d4ab8b03
[Tensor] Add function to spec and update linear 1Drow and unit tests (#869) 2022-04-26 10:15:26 +08:00
Frank Lee 11f54c7b6b
[doc] improved docstring and assertion messages for the engine module (#871) 2022-04-26 10:00:18 +08:00
Frank Lee 1c34382678
[doc] improved assertion messages in trainer (#873) 2022-04-26 10:00:12 +08:00
Frank Lee 7a64fae33a
[doc] improved error messages in initialize (#872) 2022-04-26 10:00:03 +08:00
Jiarui Fang 1190b2c4a4
[tensor] add cross_entrophy_loss (#868) 2022-04-25 16:01:52 +08:00
HELSON 3107817172
[gemini] add stateful tensor container (#867) 2022-04-25 14:58:16 +08:00
Jiarui Fang d01d3b8cb0
colo init context add device attr. (#866) 2022-04-25 14:24:26 +08:00
Frank Lee 2238758c2e
[usability] improved error messages in the context module (#856) 2022-04-25 13:42:31 +08:00
Frank Lee 9fdebadd69
[doc] improved docstring in the amp module (#857) 2022-04-25 13:42:17 +08:00
Frank Lee b862d89d00
[doc] improved docstring in the logging module (#861) 2022-04-25 13:42:00 +08:00
Frank Lee 8004c8e938
[doc] improved docstring in the communication module (#863) 2022-04-25 13:41:43 +08:00
Jiarui Fang 8af5f7423d
[tensor] an initial dea of tensor spec (#865) 
* a initial dea of tensor spec

* polish

* polish
 2022-04-25 13:33:52 +08:00
Jiarui Fang 126ba573a8
[Tensor] add layer norm Op (#852) 2022-04-25 11:49:20 +08:00
Frank Lee a82da26f7e
[cli] refactored micro-benchmarking cli and added more metrics (#858) 2022-04-25 11:48:07 +08:00
Frank Lee ee222dfbf3
[usability] added assertion message in registry (#864) 2022-04-25 11:45:15 +08:00
HELSON f0e654558f
[gemini] polish code (#855) 2022-04-25 10:40:14 +08:00
Jiarui Fang 29159d9b5b
hotfix tensor unittest bugs (#862) 2022-04-25 10:06:53 +08:00
YuliangLiu0306 c6930d8ddf
[pipelinable]use ColoTensor to replace dummy tensor. (#853) 2022-04-24 18:31:22 +08:00
Ziyue Jiang bcc8655021
[Tensor ] Add 1Drow weight reshard by spec (#854) 2022-04-24 18:30:20 +08:00
ver217 d7e0303d1e
[zero] use GeminiMemoryManager when sampling model data (#850) 2022-04-24 17:17:22 +08:00
ver217 232142f402
[utils] refactor profiler (#837) 
* add model data profiler

* add a subclass of torch.profiler.profile

* refactor folder structure

* remove redundant codes

* polish code

* use GeminiMemoryManager

* fix import path

* fix stm profiler ext

* polish comments

* remove useless file
 2022-04-24 17:03:59 +08:00
Jiarui Fang 62f059251b
[Tensor] init a tp network training unittest (#849) 2022-04-24 16:43:44 +08:00
ver217 0dea140760
[hotfix] add deconstructor for stateful tensor (#848) 
* add deconstructor for stateful tensor

* fix colo init context
 2022-04-24 15:03:04 +08:00
ver217 0f7ed8c192
fix _post_init_method of zero init ctx (#847) 2022-04-24 14:16:50 +08:00
Ziyue Jiang 2a0a427e04
[tensor]add assert for colo_tensor 1Drow (#846) 2022-04-24 14:12:45 +08:00
Ziyue Jiang 05023ecfee
[Tensor] TP Linear 1D row (#843) 2022-04-24 13:43:12 +08:00
Frank Lee cf6d1c9284
[CLI] refactored the launch CLI and fixed bugs in multi-node launching (#844) 
* [cli] fixed multi-node job launching

* [cli] fixed a bug in version comparison

* [cli] support launching with env var

* [cli] fixed multi-node job launching

* [cli] fixed a bug in version comparison

* [cli] support launching with env var

* added docstring

* [cli] added extra launch arguments

* [cli] added default launch rdzv args

* [cli] fixed version comparison

* [cli] added docstring examples and requierment

* polish docstring

* polish code

* polish code
 2022-04-24 13:26:26 +08:00
HELSON e5ea3fdeef
[gemini] add GeminiMemoryManger (#832) 
* refactor StatefulTensor, tensor utilities

* add unitest for GeminiMemoryManager
 2022-04-24 13:08:48 +08:00
YuliangLiu0306 35ea6e1023
[pipelinable]use pipelinable context to initialize non-pipeline model (#816) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [pipeline]add module lazy init feature to support large model initization.

* [pipeline]add to_layer_list and partition method to support arbitrary non-pp model

* refactor the module structure

* polish

* [pipelinable]add unit test for pipelinable

* polish

* polish

* Fix CodeFactor issues.
 2022-04-24 13:03:12 +08:00
Jiarui Fang ea0a2ed25f
[hotfix] the bug of numel() in ColoTensor (#845) 2022-04-24 12:32:10 +08:00
LuGY c1e8d2001e
modefied the pp build for ckpt adaptation (#803) 2022-04-24 12:23:16 +08:00
Jiarui Fang 8789850eea
Init Conext supports lazy allocate model memory (#842) 2022-04-22 18:03:35 +08:00
Jiarui Fang 4575a3298b
[hotfix] ColoTensor pin_memory (#840) 2022-04-22 17:07:46 +08:00
Frank Lee 01e9f834f5
[dependency] removed torchvision (#833) 
* [dependency] removed torchvision

* fixed transforms
 2022-04-22 15:24:35 +08:00
Jiarui Fang cb5a4778e1
Revert "[WIP] Applying ColoTensor on TP-1D-row Linear. (#831)" (#835) 
This reverts commit ac88de6dfc.
 2022-04-22 14:45:57 +08:00
Jiarui Fang ac88de6dfc
[WIP] Applying ColoTensor on TP-1D-row Linear. (#831) 
* revert zero tensors back

* [tensor] init row 1d linear
 2022-04-22 14:03:26 +08:00
Jiarui Fang 595bedf767
revert zero tensors back (#829) 2022-04-22 12:12:35 +08:00
Jiarui Fang 294a6060d0
[tensor] ZeRO use ColoTensor as the base class. (#828) 
* [refactor] moving InsertPostInitMethodToModuleSubClasses to utils.

* [tensor] ZeRO use ColoTensor as the base class.

* polish
 2022-04-22 12:00:48 +08:00
Ziyue Jiang 8e6fdb4f29
[tensor]fix test_linear (#826) 2022-04-21 17:18:56 +08:00
Ziyue Jiang 1a9e2c2dff
[tensor] fix kwargs in colo_tensor torch_funtion (#825) 2022-04-21 16:47:35 +08:00
Jiarui Fang eb1b89908c
[refactor] moving InsertPostInitMethodToModuleSubClasses to utils. (#824) 2022-04-21 16:03:18 +08:00
Jiarui Fang 2ecc3d7a55
[tensor] lazy init (#823) 2022-04-21 15:40:23 +08:00
Jiarui Fang 68dcd51d41
[Tensor] update ColoTensor torch_function (#822) 
* Revert "[zero] add ZeroTensorShardStrategy (#793)"

This reverts commit 88759e289e.

* [gemini] set cpu memory capacity

* [log] local throughput collecting

* polish

* polish

* polish

* polish code

* polish

* polish code

* add a new tensor structure and override linear for it

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* [tensor] renaming and reorganize directory structure.

* rm useless dir

* polish

* polish

* [tensor] hander the function not wrapped

* polish
 2022-04-21 14:25:27 +08:00
Jiarui Fang 0ce8924ceb
[tensor] reorganize files (#820) 2022-04-21 14:15:48 +08:00
Jiarui Fang ab962b9735
[gemini] a new tensor structure (#818) 
* Revert "[zero] add ZeroTensorShardStrategy (#793)"

This reverts commit 88759e289e.

* [gemini] set cpu memory capacity

* [log] local throughput collecting

* polish

* polish

* polish

* polish code

* polish

* polish code

* add a new tensor structure and override linear for it

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish
 2022-04-21 11:42:37 +08:00
FrankLeeeee 70ed11d07e [cli] added check installation cli 2022-04-20 12:13:27 +08:00
YuliangLiu0306 c7eca40f51
Merge pull request #812 from FrankLeeeee/feature/cli 
[cli] fixed single-node process launching
 2022-04-20 11:40:07 +08:00
Jiarui Fang 3ddbd1bce1
[gemini] collect cpu-gpu moving volume in each iteration (#813) 2022-04-20 11:29:48 +08:00
FrankLeeeee d522cb704e [cli] fixed single-node process launching 2022-04-20 10:46:51 +08:00
Jiarui Fang 61c20b44bc
[log] local throughput metrics (#811) 
* Revert "[zero] add ZeroTensorShardStrategy (#793)"

This reverts commit 88759e289e.

* [gemini] set cpu memory capacity

* [log] local throughput collecting

* polish

* polish

* polish

* polish code

* polish
 2022-04-20 10:05:39 +08:00
ver217 dd92b90a68
[DO NOT MERGE] [zero] init fp16 params directly in ZeroInitContext (#808) 
* init fp16 param directly

* polish code
 2022-04-19 16:16:48 +08:00
Jiarui Fang 227d1cd4b3
[gemini] APIs to set cpu memory capacity (#809) 2022-04-19 16:05:22 +08:00
FrankLeeeee f63e91d280 [cli] fixed a bug in user args and refactored the module structure 2022-04-19 15:15:16 +08:00
Jiarui Fang e761ad2cd7
Revert "[zero] add ZeroTensorShardStrategy (#793)" (#806) 2022-04-19 14:40:02 +08:00
HELSON 88759e289e
[zero] add ZeroTensorShardStrategy (#793) 2022-04-19 14:32:45 +08:00
Jiarui Fang 681addb512
[refactor] moving grad acc logic to engine (#804) 2022-04-19 14:03:21 +08:00
Frank Lee 05d9ae5999
[cli] add missing requirement (#805) 2022-04-19 13:56:59 +08:00
YuliangLiu0306 de2f581d43
[cli] added micro benchmarking for tp (#789) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [CLI]add cli benchmark feature

* fix CodeFactor issues.

* refactor the module structure.
 2022-04-19 12:08:28 +08:00
YuliangLiu0306 cfadc9df8e
[cli] added distributed launcher command (#791) 
* [CLI] add CLI launcher

* Revert "[CLI] add CLI launcher"

This reverts commit df7e6506d4.

* [CLI]add cli launcher feature

* remove testing message used during developing

* refactor the module structure.
 2022-04-19 10:59:44 +08:00
Jiarui Fang 4d9332b4c5
[refactor] moving memtracer to gemini (#801) 2022-04-19 10:13:08 +08:00
Jiarui Fang 8711c706f4
[hotfix] fix grad offload when enabling reuse_fp16_shard 2022-04-18 14:58:21 +08:00
ver217 f1fa1a675f fix grad offload when enabling reuse_fp16_shard 2022-04-18 14:07:39 +08:00
HELSON 4c4388c46e
[hotfix] fix memory leak in zero (#781) 2022-04-18 13:57:03 +08:00
Ziyue Jiang 4b01da24cd
[TP] change the check assert in split batch 2d (#772) 2022-04-16 21:29:57 +08:00
ver217 846406a07a
[gemini] fix auto tensor placement policy (#775) 2022-04-16 21:29:31 +08:00
HELSON a65cbb7e4e
[zero] refactor shard and gather operation (#773) 2022-04-15 14:41:31 +08:00
ver217 6e553748a7
polish sharded optim docstr and warning (#770) 2022-04-14 21:03:59 +08:00
LuGY 80e37eec42
fix the ckpt bugs when using DDP (#769) 2022-04-14 21:03:24 +08:00
Frank Lee 920fe31526
[compatibility] used backward-compatible API for global process group (#758) 2022-04-14 17:20:35 +08:00
Frank Lee 4ea49cb536
[test] added a decorator for address already in use error with backward compatibility (#760) 
* [test] added a decorator for address already in use error with backward compatibility

* [test] added a decorator for address already in use error with backward compatibility
 2022-04-14 16:48:44 +08:00
Jiarui Fang 10ef8afdd2
[gemini] init genimi individual directory (#754) 2022-04-14 16:40:26 +08:00
ver217 dcca614eee
[hotfix] fix test_stateful_tensor_mgr (#762) 2022-04-14 15:50:09 +08:00
ver217 a93a7d7364
[hotfix] fix reuse_fp16_shard of sharded model (#756) 
* fix reuse_fp16_shard

* disable test stm

* polish code
 2022-04-14 14:56:46 +08:00
ver217 8f7ce94b8e
[hotfix] fix auto tensor placement policy (#753) 2022-04-14 12:04:45 +08:00
HELSON 84c6700b2a
[zero] refactor memstats_collector (#746) 2022-04-14 12:01:12 +08:00
アマデウス b8899e0905
[TP] allow layernorm without bias (#750) 2022-04-14 11:43:56 +08:00
Jiarui Fang 3d7dc46d33
[zero] use factory pattern for tensor_placement_policy (#752) 2022-04-14 11:07:29 +08:00
ver217 4b048a8728
fix prepare grads in sharded optim (#749) 2022-04-13 22:36:11 +08:00
ver217 097772546e fix initialize about zero 2022-04-13 19:10:21 +08:00
ver217 e396bb71f2
[zero] add tensor placement policies (#743) 
* add tensor placement policies

* polish comments

* polish comments

* update moe unit tests
 2022-04-13 15:00:48 +08:00
HELSON 22c4b88d56
[zero] refactor ShardedParamV2 for convenience (#742) 2022-04-13 14:54:26 +08:00
HELSON 340e59f968
[utils] add synchronized cuda memory monitor (#740) 2022-04-13 10:50:54 +08:00
ver217 e6212f56cd
[hotfix] fix memory leak in backward of sharded model (#741) 2022-04-13 09:59:05 +08:00
Frank Lee a4e91bc87f
[bug] fixed grad scaler compatibility with torch 1.8 (#735) 2022-04-12 16:04:21 +08:00
Jiarui Fang 53cb584808
[utils] correct cpu memory used and capacity in the context of multi-process (#726) 2022-04-12 14:57:54 +08:00
Jiarui Fang 7db3ccc79b
[hotfix] remove duplicated param register to stateful tensor manager (#728) 2022-04-12 13:55:25 +08:00
Frank Lee 1cb7bdad3b
[util] fixed communication API depth with PyTorch 1.9 (#721) 2022-04-12 09:44:40 +08:00
Frank Lee 2412429d54
[util] fixed activation checkpointing on torch 1.9 (#719) 2022-04-12 09:35:45 +08:00
Frank Lee 04ff5ea546
[utils] support detection of number of processes on current node (#723) 2022-04-12 09:28:19 +08:00
Jiarui Fang 4d90a7b513
[refactor] zero directory (#724) 2022-04-11 23:13:02 +08:00
Jiarui Fang 193dc8dacb
[refactor] refactor the memory utils (#715) 2022-04-11 16:47:57 +08:00
HELSON dbd96fe90a
[zero] check whether gradients have inf and nan in gpu (#712) 2022-04-11 15:40:13 +08:00
ver217 715b86eadd
[hotfix] fix stm cuda model data size (#710) 2022-04-11 15:10:39 +08:00
LuGY 140263a394
[hotfix]fixed bugs of assigning grad states to non leaf nodes (#711) 
* fixed bugs of assigning grad states to non leaf nodes

* use detach()
 2022-04-11 14:04:58 +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
ver217 ab8c6b4a0e
[zero] refactor memstats collector (#706) 
* refactor memstats collector

* fix disposable

* polish code
 2022-04-11 10:46:08 +08:00
アマデウス 3fc8a204dc
[]Corrected 3d vocab parallel embedding (#707) 2022-04-11 10:17:55 +08:00
HELSON ee112fe1da
[zero] adapt zero hooks for unsharded module (#699) 2022-04-08 20:23:26 +08:00
ver217 3c9cd5bb5e
[zero] stateful tensor manager (#687) 
* [WIP] stateful tensor manager

* add eviction strategy

* polish code

* polish code

* polish comment

* add unit test

* fix sampler bug

* polish code

* fix max sampling cnt resetting bug

* fix sampler bug

* polish code

* fix bug

* fix unit test

Co-authored-by: jiaruifang <fangjiarui123@gmail.com>
 2022-04-08 17:51:34 +08:00
HELSON d7ecaf362b
[zero] fix init bugs in zero context (#686) 
* adapt model weight initialization for methods in Pytorch nn.init
 2022-04-07 17:38:45 +08:00
YuliangLiu0306 0ed7042f42
[pipeline] refactor pipeline (#679) 
* refactor pipeline---put runtime schedule into engine.

* add type hint for schedule Optional[BaseSchedule]

* preprocess schedule during engine initializing

* infer pipeline schedule params from config
 2022-04-07 15:54:14 +08:00
Jiarui Fang 59bf2dc590
[zero] initialize a stateful tensor manager (#614) 2022-04-06 16:18:49 +08:00
encmps 79ccfa4310 [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_adam.cu code style (#667) 2022-04-06 11:40:59 +08:00
lucasliunju e4bcff9b0f [NFC] polish colossalai/builder/builder.py code style (#662) 2022-04-06 11:40:59 +08:00
shenggan 331683bf82 [NFC] polish colossalai/kernel/cuda_native/csrc/layer_norm_cuda_kernel.cu code style (#661) 2022-04-06 11:40:59 +08:00
FredHuang99 c336cd3066 [NFC] polish colossalai/communication/utils.py code style (#656) 2022-04-06 11:40:59 +08:00
MaxT 5ab9a71299 [NFC] polish colossalai/kernel/cuda_native/csrc/moe_cuda.cpp code style (#642) 2022-04-06 11:40:59 +08:00
Xue Fuzhao 10afec728f [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cuda_util.h code style (#641) 2022-04-06 11:40:59 +08:00
Cautiousss 055d0270c8 [NFC] polish colossalai/context/process_group_initializer/initializer_sequence.py colossalai/context/process_group_initializer initializer_tensor.py code style (#639) 
Co-authored-by: 何晓昕 <cautious@r-236-100-25-172.comp.nus.edu.sg>
 2022-04-06 11:40:59 +08:00
Ziheng Qin c7c224ee17 [NFC] polish colossalai/builder/pipeline.py code style (#638) 2022-04-06 11:40:59 +08:00
Sze-qq 10591ecdf9 [NFC] polish colossalai/kernel/cuda_native/csrc/cpu_adam.cpp code style (#636) 2022-04-06 11:40:59 +08:00
Wangbo Zhao 6fcb381801 [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_l2norm_kernel.cu code style (#635) 2022-04-06 11:40:59 +08:00
ExtremeViscent 8a5d526e95 [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/dropout_kernels.cu and cross_entropy.cu code style (#634) 2022-04-06 11:40:59 +08:00
RichardoLuo ad1e7ab2b2 '[NFC] polish <colossalai/engine/_base_engine.py> code style' (#631) 
Co-authored-by: RichardoLuo <14049555596@qq.com>
 2022-04-06 11:40:59 +08:00
Zangwei 2e11853d04 [NFC] polish colossalai/communication/ring.py code style (#630) 2022-04-06 11:40:59 +08:00
puck_WCR 01cc941e1d [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/transform_kernels.cu code stype (#629) 2022-04-06 11:40:59 +08:00
superhao1995 c1bed0d998 [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_lamb.cu code stype (#628) 2022-04-06 11:40:59 +08:00
Jiang Zhuo 0a96338b13 [NFC] polish <colossalai/context/process_group_initializer/initializer_data.py> code stype (#626) 
Co-authored-by: 姜卓 <jiangzhuo@jiangzhuodeMacBook-Pro.local>
 2022-04-06 11:40:59 +08:00
ziyu huang 701bad439b [NFC] polish colossalai/context/process_group_initializer/process_group_initializer.py code stype (#617) 
Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>
 2022-04-06 11:40:59 +08:00
Shawn-Kong db54419409 fix format (#613) 
Co-authored-by: evin K <evink@evins-MacBook-Air.local>
 2022-04-06 11:40:59 +08:00
Yuer867 5ecef13c16 fix format (#611) 2022-04-06 11:40:59 +08:00
xyupeng d3d5bedc65 fix format (#607) 2022-04-06 11:40:59 +08:00
xuqifan897 f2d2a1597a fix format (#608) 2022-04-06 11:40:59 +08:00
doubleHU f2da21a827 fix format (#586) 2022-04-06 11:40:59 +08:00
fanjinfucool ffad81e1d1 fix format (#585) 
Co-authored-by: fanjifu <FAN>
 2022-04-06 11:40:59 +08:00
binmakeswell 6582aedc94 fix format (#583) 2022-04-06 11:40:59 +08:00
DouJS f08fc17f2b block_reduce.h fix format (#581) 2022-04-06 11:40:59 +08:00
Maruyama_Aya d2dc6049b5 fix format (#580) 2022-04-06 11:40:59 +08:00
wky 174b9c1d85 fix format (#574) 2022-04-06 11:40:59 +08:00
BoxiangW dfe423ae42 fix format (#572) 2022-04-06 11:40:59 +08:00
yuxuan-lou cfb41297ff 'fix/format' (#573) 2022-04-06 11:40:59 +08:00
Kai Wang (Victor Kai) b0f708dfc1 fix format (#570) 2022-04-06 11:40:59 +08:00
Xu Kai 2a915a8b62 fix format (#568) 2022-04-06 11:40:59 +08:00
YuliangLiu0306 9420d3ae31 fix format (#567) 2022-04-06 11:40:59 +08:00
Jie Zhu 0f1da44e5e [format]colossalai/kernel/cuda_native/csrc/layer_norm_cuda.cpp (#566) 2022-04-06 11:40:59 +08:00
coder-chin 5835631218 fix format (#564) 2022-04-06 11:40:59 +08:00
Luxios22 e014144c44 fix format (#565) 2022-04-06 11:40:59 +08:00
Ziyue Jiang 1762ba14ab fix format (#563) 2022-04-06 11:40:59 +08:00
HELSON 17e73e62cc
[hotfix] fix bugs for unsharded parameters when restore data (#664) 2022-04-03 22:02:11 +08:00
Jiarui Fang 0aab52301e
[hotfix] fix a bug in model data stats tracing (#655) 2022-04-03 21:48:06 +08:00
YuliangLiu0306 ade05a5d83
[refactor] pipeline, put runtime schedule into engine. (#627) 2022-04-03 20:46:45 +08:00
HELSON e5d615aeee
[hotfix] fix bugs in testing (#659) 
* remove hybrid adam in test_moe_zero_optim

* fix activation checkpointing and its unitest
 2022-04-02 21:58:47 +08:00
Jiarui Fang 036404ca8a
Revert "[zero] polish init context (#645)" (#657) 2022-04-02 18:30:06 +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
LuGY 1e2557e801
[zero] fixed the activation offload (#647) 
* fixed the activation offload

* polish
 2022-04-02 16:21:32 +08:00
Liang Bowen 828e465622
[hotfix] Raise messages for indivisible batch sizes with tensor parallelism (#622) 2022-04-02 16:12:04 +08:00
Jiarui Fang 67b4928244
[zero] polish init context (#645) 2022-04-02 15:52:04 +08:00
ver217 f5d3a9c2b0
polish checkpoint docstring (#637) 2022-04-02 13:34:33 +08:00
HELSON 055fbf5be6
[zero] adapt zero for unsharded paramters (Optimizer part) (#601) 2022-04-01 20:10:47 +08:00
KAIYUAN GAN 229382c844
[NFC] polish colossalai/kernel/cuda_native/csrc/kernels/cuda_util.cu code stype (#625) 2022-04-01 17:45:53 +08:00
アマデウス 28b515d610
[model checkpoint] updated checkpoint hook (#598) 2022-04-01 16:53:03 +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 6302069c0e
[model checkpoint] updated communication ops for cpu tensors (#590) 2022-04-01 16:52:20 +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
アマデウス acae68eb04
[model checkpoint] updated checkpoint save/load utils (#592) 2022-04-01 16:49:21 +08:00
Ziyue Jiang 1c40ee8749
[TP] add assert for tp1d (#621) 2022-04-01 16:44:23 +08:00
ver217 369a288bf3
polish utils docstring (#620) 2022-04-01 16:36:47 +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 c5b488edf8
polish amp docstring (#616) 2022-04-01 16:09:39 +08:00
ver217 0ef8819c67
polish docstring of zero (#612) 2022-04-01 14:50:56 +08:00
LuGY 02b187c14f
[zero] add sampling time for memstats collector (#610) 2022-04-01 14:03:00 +08:00
ver217 9bee119104
[hotfix] fix sharded optim zero grad (#604) 
* fix sharded optim zero grad

* polish comments
 2022-04-01 12:41:20 +08:00
アマデウス 297b8baae2
[model checkpoint] add gloo groups for cpu tensor communication (#589) 2022-04-01 10:15:52 +08:00
アマデウス 54e688b623
moved ensure_path_exists to utils.common (#591) 2022-04-01 09:46:33 +08:00
Jiarui Fang e956d93ac2
[refactor] memory utils (#577) 2022-04-01 09:22:33 +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
ver217 7c6c427db1
[zero] trace states of fp16/32 grad and fp32 param (#571) 2022-03-31 16:26:54 +08:00
Jiarui Fang 7675366fce
[polish] rename col_attr -> colo_attr (#558) 2022-03-31 12:25:45 +08:00
Liang Bowen 2c45efc398
html refactor (#555) 2022-03-31 11:36:56 +08:00
Jiarui Fang d1211148a7
[utils] update colo tensor moving APIs (#553) 2022-03-30 23:13:24 +08:00
LuGY c44d797072
[docs] updatad docs of hybrid adam and cpu adam (#552) 2022-03-30 18:14:59 +08:00
ver217 014bac0c49
[zero] hijack p.grad in sharded model (#554) 
* hijack p.grad in sharded model

* polish comments

* polish comments
 2022-03-30 18:14:50 +08:00
Jiarui Fang f552b11294
[zero] label state for param fp16 and grad (#551) 2022-03-30 15:57:46 +08:00
Jiarui Fang 214da761d4
[zero] add stateful tensor (#549) 2022-03-30 13:51:37 +08:00
Jiarui Fang 107b99ddb1
[zero] dump memory stats for sharded model (#548) 2022-03-30 09:38:44 +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
Jiarui Fang 53b1b6e340
[zero] non model data tracing (#545) 2022-03-29 15:45:48 +08:00
Jie Zhu 73d36618a6
[profiler] add MemProfiler (#356) 
* add memory trainer hook

* fix bug

* add memory trainer hook

* fix import bug

* fix import bug

* add trainer hook

* fix #370 git log bug

* modify `to_tensorboard` function to support better output

* remove useless output

* change the name of `MemProfiler`

* complete memory profiler

* replace error with warning

* finish trainer hook

* modify interface of MemProfiler

* modify `__init__.py` in profiler

* remove unnecessary pass statement

* add usage to doc string

* add usage to trainer hook

* new location to store temp data file
 2022-03-29 12:48:34 +08:00
ver217 fb841dd5c5
[zero] optimize grad offload (#539) 
* optimize grad offload

* polish code

* polish code
 2022-03-29 12:48:00 +08:00
Jiarui Fang 7d81b5b46e
[logging] polish logger format (#543) 2022-03-29 10:37:11 +08:00
ver217 1f90a3b129
[zero] polish ZeroInitContext (#540) 2022-03-29 09:09:04 +08:00
Jiarui Fang c11ff81b15
[zero] get memory usage of sharded optim v2. (#542) 2022-03-29 09:08:18 +08:00
HELSON a30e2b4c24
[zero] adapt for no-leaf module in zero (#535) 
only process module's own parameters in Zero context

add zero hooks for all modules that contrain parameters

gather parameters only belonging to module itself
 2022-03-28 17:42:18 +08:00
Jiarui Fang 705f56107c
[zero] refactor model data tracing (#537) 2022-03-28 16:38:18 +08:00
Jiarui Fang a590ed0ba3
[zero] improve the accuracy of get_memory_usage of sharded param (#538) 2022-03-28 16:19:19 +08:00
Jiarui Fang 37cb70feec
[zero] get memory usage for sharded param (#536) 2022-03-28 15:01:21 +08:00
Jiarui Fang 05e33b2578
[zero] fix grad offload (#528) 
* [zero] fix grad offload

* polish code
 2022-03-25 18:23:25 +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
Jiarui Fang 8d8c5407c0
[zero] refactor model data tracing (#522) 2022-03-25 18:03:32 +08:00
Frank Lee 3601b2bad0
[test] fixed rerun_on_exception and adapted test cases (#487) 2022-03-25 17:25:12 +08:00
Jiarui Fang 4d322b79da
[refactor] remove old zero code (#517) 2022-03-25 14:54:39 +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 920c5889a7
[zero] add colo move inline (#521) 2022-03-25 14:02:55 +08:00
ver217 7be397ca9c
[log] polish disable_existing_loggers (#519) 2022-03-25 12:30:55 +08:00
Jiarui Fang 0bebda6ea5
[zero] fix init device bug in zero init context unittest (#516) 2022-03-25 12:24:18 +08:00
Jiarui Fang 7ef3507ace
[zero] show model data cuda memory usage after zero context init. (#515) 2022-03-25 11:23:35 +08:00
ver217 a2e61d61d4
[zero] zero init ctx enable rm_torch_payload_on_the_fly (#512) 
* enable rm_torch_payload_on_the_fly

* polish docstr
 2022-03-24 23:44:00 +08:00
Jiarui Fang 81145208d1
[install] run with out rich (#513) 2022-03-24 17:39:50 +08:00
Jiarui Fang bca0c49a9d
[zero] use colo model data api in optimv2 (#511) 2022-03-24 17:19:34 +08:00
Jiarui Fang 9330be0f3c
[memory] set cuda mem frac (#506) 2022-03-24 16:57:13 +08:00
Jiarui Fang 0035b7be07
[memory] add model data tensor moving api (#503) 2022-03-24 14:29:41 +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 f24b5ed201
[MOE] remove old MoE legacy (#493) 2022-03-22 17:37:16 +08:00
ver217 c4c02424f3
[zero] sharded model manages ophooks individually (#492) 2022-03-22 17:33:20 +08:00
HELSON c9023d4078
[MOE] support PR-MOE (#488) 2022-03-22 16:48:22 +08:00
ver217 a9ecb4b244
[zero] polish sharded optimizer v2 (#490) 2022-03-22 15:53:48 +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
Jiarui Fang b334822163
[zero] polish sharded param name (#484) 
* [zero] polish sharded param name

* polish code

* polish

* polish code

* polish

* polsih

* polish
 2022-03-22 14:36:16 +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
ver217 8d3250d74b
[zero] ZeRO supports pipeline parallel (#477) 2022-03-21 16:55:37 +08:00
Frank Lee 83a847d058
[test] added rerun on exception for testing (#475) 
* [test] added rerun on exception function

* polish code
 2022-03-21 15:51:57 +08:00
HELSON 7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel (#469) 2022-03-21 13:35:04 +08:00
ver217 3cb3fc275e
zero init ctx receives a dp process group (#471) 2022-03-21 11:18:55 +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
ver217 fc8e6db005
[doc] Update docstring for ZeRO (#459) 
* polish sharded model docstr

* polish sharded optim docstr

* polish zero docstr

* polish shard strategy docstr
 2022-03-18 16:48:20 +08:00
HELSON 84fd7c1d4d
add moe context, moe utilities and refactor gradient handler (#455) 2022-03-18 16:38:32 +08:00
ver217 a241f61b34
[zero] Update initialize for ZeRO (#458) 
* polish code

* shard strategy receive pg in shard() / gather()

* update zero engine

* polish code
 2022-03-18 16:18:31 +08:00
ver217 642846d6f9
update sharded optim and fix zero init ctx (#457) 2022-03-18 15:44:47 +08:00
Jiarui Fang e2e9f82588
Revert "[zero] update sharded optim and fix zero init ctx" (#456) 
* Revert "polish code"

This reverts commit 8cf7ff08cf.

* Revert "rename variables"

This reverts commit e99af94ab8.

* Revert "remove surplus imports"

This reverts commit 46add4a5c5.

* Revert "update sharded optim and fix zero init ctx"

This reverts commit 57567ee768.
 2022-03-18 15:22:43 +08:00
ver217 e99af94ab8 rename variables 2022-03-18 14:25:25 +08:00
ver217 57567ee768 update sharded optim and fix zero init ctx 2022-03-18 14:25:25 +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
Frank Lee b72b8445c6
optimized context test time consumption (#446) 2022-03-17 14:40:52 +08:00
Jiarui Fang 496cbb0760
[hotfix] fix initialize bug with zero (#442) 2022-03-17 13:16:22 +08:00
Jiarui Fang 640a6cd304
[refactory] refactory the initialize method for new zero design (#431) 2022-03-16 19:29:37 +08:00
Frank Lee bffd85bf34
added testing module (#435) 2022-03-16 17:20:05 +08:00
HELSON dbdc9a7783
added Multiply Jitter and capacity factor eval for MOE (#434) 2022-03-16 16:47:44 +08:00
Frank Lee b03b3ae99c
fixed mem monitor device (#433) 
fixed mem monitor device
 2022-03-16 15:25:02 +08:00
Frank Lee 14a7094243
fixed fp16 optimizer none grad bug (#432) 2022-03-16 14:35:46 +08:00
ver217 fce9432f08 sync before creating empty grad 2022-03-16 14:24:09 +08:00
ver217 ea6905a898 free param.grad 2022-03-16 14:24:09 +08:00
ver217 9506a8beb2 use double buffer to handle grad 2022-03-16 14:24:09 +08:00
Jiarui Fang 54229cd33e
[log] better logging display with rich (#426) 
* better logger using rich

* remove deepspeed in zero requirements
 2022-03-16 09:51:15 +08:00
HELSON 3f70a2b12f
removed noisy function during evaluation of MoE router (#419) 2022-03-15 12:06:09 +08:00
Jiarui Fang adebb3e041
[zero] cuda margin space for OS (#418) 2022-03-15 12:02:19 +08:00
Jiarui Fang 56bb412e72
[polish] use GLOBAL_MODEL_DATA_TRACER (#417) 2022-03-15 11:29:46 +08:00
Jiarui Fang 23ba3fc450
[zero] refactory ShardedOptimV2 init method (#416) 2022-03-15 10:45:55 +08:00
Frank Lee e79ea44247
[fp16] refactored fp16 optimizer (#392) 2022-03-15 10:05:38 +08:00
Jiarui Fang 21dc54e019
[zero] memtracer to record cuda memory usage of model data and overall system (#395) 2022-03-14 22:05:30 +08:00
Jiarui Fang 370f567e7d
[zero] new interface for ShardedOptimv2 (#406) 2022-03-14 20:48:41 +08:00
LuGY a9c27be42e
Added tensor detector (#393) 
* Added tensor detector

* Added the - states

* Allowed change include_cpu when detect()
 2022-03-14 18:01:46 +08:00
1SAA 907ac4a2dc fixed error when no collective communication in CommProfiler 2022-03-14 17:21:00 +08:00
Frank Lee 2fe68b359a
Merge pull request #403 from ver217/feature/shard-strategy 
[zero] Add bucket tensor shard strategy
 2022-03-14 16:29:28 +08:00
HELSON dfd0363f68
polished output format for communication profiler and pcie profiler (#404) 
fixed typing error
 2022-03-14 16:07:45 +08:00
ver217 63469c0f91 polish code 2022-03-14 15:48:55 +08:00
ver217 88804aee49 add bucket tensor shard strategy 2022-03-14 14:48:32 +08:00
HELSON 7c079d9c33
[hotfix] fixed bugs in ShardStrategy and PcieProfiler (#394) 2022-03-11 18:12:46 +08:00
Frank Lee 1e4bf85cdb fixed bug in activation checkpointing test (#387) 2022-03-11 15:50:28 +08:00
Jiarui Fang 3af13a2c3e [zero] polish ShardedOptimV2 unittest (#385) 
* place params on cpu after zero init context

* polish code

* bucketzed cpu gpu tensor transter

* find a bug in sharded optim unittest

* add offload unittest for ShardedOptimV2.

* polish code and make it more robust
 2022-03-11 15:50:28 +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
Jiarui Fang 272ebfb57d [bug] shard param during initializing the ShardedModelV2 (#381) 2022-03-11 15:50:28 +08:00
HELSON 8c18eb0998 [profiler] Fixed bugs in CommProfiler and PcieProfiler (#377) 2022-03-11 15:50:28 +08:00
Jiarui Fang b5f43acee3 [zero] find miss code (#378) 2022-03-11 15:50:28 +08:00
Jiarui Fang 6b6002962a [zero] zero init context collect numel of model (#375) 2022-03-11 15:50:28 +08:00
HELSON 1ed7c24c02 Added PCIE profiler to dectect data transmission (#373) 2022-03-11 15:50:28 +08:00
jiaruifang d9217e1960 Revert "[zero] bucketized tensor cpu gpu copy (#368)" 
This reverts commit bef05489b6.
 2022-03-11 15:50:28 +08:00
RichardoLuo 8539898ec6 flake8 style change (#363) 2022-03-11 15:50:28 +08:00
Kai Wang (Victor Kai) 53bb3bcc0a fix format (#362) 2022-03-11 15:50:28 +08:00
ziyu huang a77d73f22b fix format parallel_context.py (#359) 
Co-authored-by: huangziyu <202476410arsmart@gmail.com>
 2022-03-11 15:50:28 +08:00
Zangwei c695369af0 fix format constants.py (#358) 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
Xu Kai 54ee8d1254 Fix/format colossalai/engine/paramhooks/(#350) 2022-03-11 15:50:28 +08:00
Maruyama_Aya e83970e3dc fix format ColossalAI\colossalai\context\process_group_initializer 2022-03-11 15:50:28 +08:00
yuxuan-lou 3b88eb2259 Flake8 code restyle 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
Cautiousss 3a51d909af fix format (#332) 
Co-authored-by: 何晓昕 <cautious@r-205-106-25-172.comp.nus.edu.sg>
 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
ExtremeViscent eaac03ae1d [formart] format fixed for kernel\cuda_native codes (#335) 2022-03-11 15:50:28 +08:00
Jiarui Fang 00670c870e [zero] bucketized tensor cpu gpu copy (#368) 2022-03-11 15:50:28 +08:00
Jiarui Fang 44e4891f57 [zero] able to place params on cpu after zero init context (#365) 
* place params on cpu after zero init context

* polish code
 2022-03-11 15:50:28 +08:00
ver217 253e54d98a fix grad shape 2022-03-11 15:50:28 +08:00
Jiarui Fang ea2872073f [zero] global model data memory tracer (#360) 2022-03-11 15:50:28 +08:00
Jiarui Fang cb34cd384d [test] polish zero related unitest (#351) 2022-03-11 15:50:28 +08:00
HELSON 534e0bb118 Fixed import bug for no-tensorboard environment (#354) 2022-03-11 15:50:28 +08:00
HELSON c57e089824 [profile] added example for ProfilerContext (#349) 2022-03-11 15:50:28 +08:00
Jiarui Fang 10e2826426 move async memory to an individual directory (#345) 2022-03-11 15:50:28 +08:00
HELSON 425bb0df3f Added Profiler Context to manage all profilers (#340) 2022-03-11 15:50:28 +08:00
ver217 d0ae0f2215 [zero] update sharded optim v2 (#334) 2022-03-11 15:50:28 +08:00
jiaruifang 5663616921 polish code 2022-03-11 15:50:28 +08:00
jiaruifang 7977422aeb add bert for unitest and sharded model is not able to pass the bert case 2022-03-11 15:50:28 +08:00
Frank Lee 3d5d64bd10 refactored grad scaler (#338) 2022-03-11 15:50:28 +08:00
Frank Lee 6a3188167c set criterion as optional in colossalai initialize (#336) 2022-03-11 15:50:28 +08:00
Jie Zhu 3213554cc2 [profiler] add adaptive sampling to memory profiler (#330) 
* fix merge conflict

modify unit test

remove unnessesary log info

reformat file

* remove unused module

* remove unnecessary sync function

* change doc string style from Google to Sphinx
 2022-03-11 15:50:28 +08:00
ver217 1388671699 [zero] Update sharded model v2 using sharded param v2 (#323) 2022-03-11 15:50:28 +08:00
Jiarui Fang 11bddb6e55 [zero] update zero context init with the updated test utils (#327) 2022-03-11 15:50:28 +08:00
HELSON 4f26fabe4f fixed strings in profiler outputs (#325) 2022-03-11 15:50:28 +08:00
Jiarui Fang de0468c7a8 [zero] zero init context (#321) 
* add zero init context

* add more flags for zero init context
fix bug of repeated converting param to ShardedParamV2

* polish code
 2022-03-11 15:50:28 +08:00
1SAA 73bff11288 Added profiler communication operations 
Fixed bug for learning rate scheduler
 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
Jiarui Fang 90d3aef62c [zero] yet an improved sharded param (#311) 2022-03-11 15:50:28 +08:00
Jiarui Fang c9e7d9582d [zero] polish shard strategy (#310) 
* init shard param from shape tuple

* add more unitest for shard param

* add set_payload method for ShardedParam

* [zero] add shareded tensor class

* polish code

* add shard stratgy

* move shard and gather logic to shard strategy from shard tensor.

* polish code
 2022-03-11 15:50:28 +08:00
ver217 3092317b80 polish code 2022-03-11 15:50:28 +08:00
ver217 36f9a74ab2 fix sharded param hook and unit test 2022-03-11 15:50:28 +08:00
ver217 001ca624dd impl shard optim v2 and add unit test 2022-03-11 15:50:28 +08:00
Jiarui Fang 74f77e314b [zero] a shard strategy in granularity of tensor (#307) 2022-03-11 15:50:28 +08:00
Jiarui Fang 80364c7686 [zero] sharded tensor (#305) 
* init shard param from shape tuple

* add more unitest for shard param

* add set_payload method for ShardedParam

* [zero] add shareded tensor class

* polish code
 2022-03-11 15:50:28 +08:00
Jie Zhu d344689274 [profiler] primary memory tracer 2022-03-11 15:50:28 +08:00
ver217 b105371ace rename shared adam to sharded optim v2 2022-03-11 15:50:28 +08:00
ver217 70814dc22f fix master params dtype 2022-03-11 15:50:28 +08:00
ver217 795210dd99 add fp32 master params in sharded adam 2022-03-11 15:50:28 +08:00
ver217 a109225bc2 add sharded adam 2022-03-11 15:50:28 +08:00
Jiarui Fang e17e92c54d Polish sharded parameter (#297) 
* init shard param from shape tuple

* add more unitest for shard param

* add more unittests to shareded param
 2022-03-11 15:50:28 +08:00
ver217 7aef75ca42 [zero] add sharded grad and refactor grad hooks for ShardedModel (#287) 2022-03-11 15:50:28 +08:00
Frank Lee 9afb5c8b2d fixed typo in ShardParam (#294) 2022-03-11 15:50:28 +08:00
Frank Lee e17e54e32a added buffer sync to naive amp model wrapper (#291) 2022-03-11 15:50:28 +08:00
Jiarui Fang 8d653af408 add a common util for hooks registered on parameter. (#292) 2022-03-11 15:50:28 +08:00
Jie Zhu f867365aba bug fix: pass hook_list to engine (#273) 
* bug fix: pass hook_list to engine

* change parameter name
 2022-03-11 15:50:28 +08:00
Jiarui Fang 5a560a060a Feature/zero (#279) 
* add zero1 (#209)

* add zero1

* add test zero1

* update zero stage 1 develop (#212)

* Implement naive zero3 (#240)

* naive zero3 works well

* add zero3 param manager

* add TODOs in comments

* add gather full param ctx

* fix sub module streams

* add offload

* fix bugs of hook and add unit tests

* fix bugs of hook and add unit tests (#252)

* add gather full param ctx

* fix sub module streams

* add offload

* fix bugs of hook and add unit tests

* polish code and add state dict hook

* fix bug

* update unit test

* refactor reconstructed zero code

* clip_grad support zero3 and add unit test

* add unit test for Zero3ParameterManager

* [WIP] initialize the shard param class

* [WIP] Yet another sharded model implementation (#274)

* [WIP] initialize the shard param class

* [WIP] Yes another implementation of shardModel. Using a better hook method.

* torch.concat -> torch.cat

* fix test_zero_level_1.py::test_zero_level_1 unitest

* remove deepspeed implementation and refactor for the reconstructed zero module

* polish zero dp unittests

Co-authored-by: ver217 <lhx0217@gmail.com>
Co-authored-by: Frank Lee <somerlee.9@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
Frank Lee f5ca88ec97 fixed apex import (#227) 2022-02-15 11:31:13 +08:00
Frank Lee 3a1a9820b0 fixed mkdir conflict and align yapf config with flake (#220) 2022-02-15 11:31:13 +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
Frank Lee 812357d63c
fixed utils docstring and add example to readme (#200) 2022-02-03 11:37:17 +08:00
Frank Lee 765db512b5
fixed ddp bug on torch 1.8 (#194) 2022-01-28 15:14:04 +08:00
Jiarui Fang 569357fea0
add pytorch hooks (#179) 
* add pytorch hooks
fix #175

* remove licenses in src code

* add gpu memory tracer

* replacing print with logger in ophooks.
 2022-01-25 22:20:54 +08:00
ver217 708404d5f8
fix pipeline forward return tensors (#176) 2022-01-21 15:46:02 +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
puck_WCR 9473a1b9c8
AMP docstring/markdown update (#160) 2022-01-18 18:33:36 +08:00
Frank Lee f3802d6b06
fixed jit default setting (#154) 2022-01-18 13:37:20 +08:00
ver217 7bf1e98b97
pipeline last stage supports multi output (#151) 2022-01-17 15:57:47 +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
ver217 9ef05ed1fc
try import deepspeed when using zero (#130) 2022-01-07 17:24:57 +08:00
HELSON dceae85195
Added MoE parallel (#127) 2022-01-07 15:08:36 +08:00
ver217 293fb40c42
add scatter/gather optim for pipeline (#123) 2022-01-07 13:22:22 +08:00
Jiarui Fang 2c0c85d3d3
fix a bug in timer (#114) 2022-01-05 16:07:06 +08:00
ver217 7904baf6e1
fix layers/schedule for hybrid parallelization (#111) (#112) 2022-01-04 20:52:31 +08:00
ver217 a951bc6089
update default logger (#100) (#101) 2022-01-04 20:03:26 +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
shenggan 5c3843dc98
add colossalai kernel module (#55) 2021-12-21 12:19:52 +08:00
ver217 8f02a88db2
add interleaved pipeline, fix naive amp and update pipeline model initializer (#80) 2021-12-20 23:26:19 +08:00
Frank Lee 91c327cb44
fixed zero level 3 dtype bug (#76) 2021-12-20 17:00:53 +08:00
HELSON 632e622de8
overlap computation and communication in 2d operations (#75) 2021-12-16 16:05:15 +08:00
Frank Lee cd9c28e055
added CI for unit testing (#69) 2021-12-16 10:32:08 +08:00
Frank Lee 35813ed3c4
update examples and sphnix docs for the new api (#63) 2021-12-13 22:07:01 +08:00
ver217 7d3711058f
fix zero3 fp16 and add zero3 model context (#62) 2021-12-10 17:48:50 +08:00
Frank Lee 9a0466534c
update markdown docs (english) (#60) 2021-12-10 14:37:33 +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