ccf3c58c89
embedding op use gather_out ( #1143 )
2022-06-21 13:21:20 +08:00
15aab1476e
[zero] avoid zero hook spam by changing log to debug level ( #1137 )
2022-06-21 10:44:01 +08:00
e4f555f29a
[optim] refactor fused sgd ( #1134 )
2022-06-20 11:19:38 +08:00
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
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
e127b4375b
cast colo ddp v2 inputs/outputs ( #1120 )
2022-06-15 15:57:04 +08:00
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
895c1c5ee7
[tensor] refactor param op hook ( #1097 )
...
* refactor param op hook
* add docstr
* fix bug
2022-06-13 16:11:53 +08:00
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
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
2b2dc1c86b
[pipeline] refactor the pipeline module ( #1087 )
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* [pipeline] refactor the pipeline module
* polish code
2022-06-10 11:27:38 +08:00
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
0653c63eaa
[Tensor] 1d row embedding ( #1075 )
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* Add CPU 1d row embedding
* polish
2022-06-08 12:04:59 +08:00
4fc748f69b
[Tensor] fix optimizer for CPU parallel ( #1069 )
2022-06-06 17:36:11 +08:00
49832b2344
[refactory] add nn.parallel module ( #1068 )
2022-06-06 15:34:41 +08:00
6754f1b77f
fix module utils bug ( #1066 )
2022-06-06 12:11:48 +08:00
a00644079e
reorgnize colotensor directory ( #1062 )
...
* reorgnize colotensor directory
* polish code
2022-06-03 18:04:22 +08:00
df9dcbbff6
[Tensor] add hybrid device demo and fix bugs ( #1059 )
2022-06-03 12:09:49 +08:00
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
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
cefc29ff06
[tensor] impl ColoDDP for ColoTensor ( #1009 )
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* impl ColoDDP for ColoTensor
* polish code
2022-05-21 13:52:04 +08:00
571f12eff3
[NFC] polish colossalai/nn/layer/utils/common.py code style ( #983 )
2022-05-17 10:25:06 +08:00
18542b47fc
[NFC] polish colossalai/nn/layer/parallel_2d/layers.py code style ( #976 )
2022-05-17 10:25:06 +08:00
598cde4a0f
[NFC] polish colossalai/nn/layer/parallel_2p5d/layers.py code style ( #972 )
2022-05-17 10:25:06 +08:00
fb5bc6cb28
[NFC] polish colossalai/nn/layer/parallel_3d/layers.py code style ( #966 )
2022-05-17 10:25:06 +08:00
58580b50fe
Revert "[NFC] Hotfix/format ( #984 )" ( #986 )
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This reverts commit 0772828fba
2022-05-17 10:23:38 +08:00
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
e5ea3fdeef
[gemini] add GeminiMemoryManger ( #832 )
...
* refactor StatefulTensor, tensor utilities
* add unitest for GeminiMemoryManager
2022-04-24 13:08:48 +08:00
4b01da24cd
[TP] change the check assert in split batch 2d ( #772 )
2022-04-16 21:29:57 +08:00
b8899e0905
[TP] allow layernorm without bias ( #750 )
2022-04-14 11:43:56 +08:00
eda30a058e
[compatibility] fixed tensor parallel compatibility with torch 1.9 ( #700 )
2022-04-11 13:44:50 +08:00
a9b8300d54
[zero] improve adaptability for not-shard parameters ( #708 )
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* 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
3fc8a204dc
[]Corrected 3d vocab parallel embedding ( #707 )
2022-04-11 10:17:55 +08:00
b31daed4cf
fix bugs in CPU adam ( #633 )
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* add cpu adam counter for all cpu adam
* fixed updating error in adam kernel
2022-04-02 17:04:05 +08:00
828e465622
[hotfix] Raise messages for indivisible batch sizes with tensor parallelism ( #622 )
2022-04-02 16:12:04 +08:00
77ad24bf94
[model checkpoint] updated saving/loading for 3d layers ( #597 )
2022-04-01 16:52:47 +08:00
93089ed708
[model checkpoint] updated saving/loading for 2.5d layers ( #596 )
2022-04-01 16:52:33 +08:00
c50bfb807b
[model checkpoint] updated saving/loading for 1d layers ( #594 )
2022-04-01 16:51:52 +08:00
7636d518e1
[model checkpoint] updated saving/loading for 2d layers ( #595 )
2022-04-01 16:50:34 +08:00
cd13b63832
[model checkpoint] reworked unified layers for ease of save/load states ( #593 )
2022-04-01 16:49:56 +08:00
1c40ee8749
[TP] add assert for tp1d ( #621 )
2022-04-01 16:44:23 +08:00
e619a651fb
polish optimizer docstring ( #619 )
2022-04-01 16:27:03 +08:00
8432dc7080
polish moe docsrting ( #618 )
2022-04-01 16:15:36 +08:00
104cbbb313
[hotfix] add hybrid adam to __init__ ( #584 )
2022-03-31 19:08:34 +08:00
e6d50ec107
[zero] adapt zero for unsharded parameters ( #561 )
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* 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
46c9ba33da
update code format
2022-03-31 17:15:08 +08:00
666cfd094a
fix parallel_input flag for Linear1D_Col gather_output
2022-03-31 17:15:08 +08:00
2c45efc398
html refactor ( #555 )
2022-03-31 11:36:56 +08:00
c44d797072
[docs] updatad docs of hybrid adam and cpu adam ( #552 )
2022-03-30 18:14:59 +08:00
763dc325f1
[TP] Add gather_out arg to Linear ( #541 )
2022-03-30 09:35:46 +08:00
8c90d4df54
[zero] add zero context manager to change config during initialization ( #546 )
2022-03-29 17:57:59 +08:00
ec5086c49c
Refactored docstring to google style
2022-03-29 17:17:47 +08:00
105c5301c3
[zero]added hybrid adam, removed loss scale in adam ( #527 )
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* [zero]added hybrid adam, removed loss scale of adam
* remove useless code
2022-03-25 18:03:54 +08:00
6a3f9fda83
[cuda] modify the fused adam, support hybrid of fp16 and fp32 ( #497 )
2022-03-25 14:15:53 +08:00
a445e118cf
[polish] polish singleton and global context ( #500 )
2022-03-23 18:03:39 +08:00
9ec1ce6ab1
[zero] sharded model support the reuse of fp16 shard ( #495 )
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* sharded model supports reuse fp16 shard
* rename variable
* polish code
* polish code
* polish code
2022-03-23 14:59:59 +08:00
c9023d4078
[MOE] support PR-MOE ( #488 )
2022-03-22 16:48:22 +08:00
62b0a8d644
[zero] sharded optim support hybrid cpu adam ( #486 )
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* sharded optim support hybrid cpu adam
* update unit test
* polish docstring
2022-03-22 14:56:59 +08:00
d7ea63992b
[MOE] add FP32LinearGate for MOE in NaiveAMP context ( #480 )
2022-03-22 10:50:20 +08:00
65c0f380c2
[format] polish name format for MOE ( #481 )
2022-03-21 23:19:47 +08:00
7544347145
[MOE] add unitest for MOE experts layout, gradient handler and kernel ( #469 )
2022-03-21 13:35:04 +08:00
aff9d354f7
[MOE] polish moe_env ( #467 )
2022-03-19 15:36:25 +08:00
bccbc15861
[MOE] changed parallelmode to dist process group ( #460 )
2022-03-19 13:46:29 +08:00
0fcfb1e00d
[test] make zero engine test really work ( #447 )
2022-03-17 17:24:25 +08:00
237d08e7ee
[zero] hybrid cpu adam ( #445 )
2022-03-17 15:05:41 +08:00
dbdc9a7783
added Multiply Jitter and capacity factor eval for MOE ( #434 )
2022-03-16 16:47:44 +08:00
3f70a2b12f
removed noisy function during evaluation of MoE router ( #419 )
2022-03-15 12:06:09 +08:00
5a4a3b77d9
fix format ( #376 )
2022-03-11 15:50:28 +08:00
de46450461
Added activation offload ( #331 )
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* Added activation offload
* Fixed the import bug, used the pytest
2022-03-11 15:50:28 +08:00
53bb3bcc0a
fix format ( #362 )
2022-03-11 15:50:28 +08:00
4a0f8c2c50
fix format parallel_2p5d ( #357 )
2022-03-11 15:50:28 +08:00
7eb87f516d
flake8 style ( #352 )
2022-03-11 15:50:28 +08:00
148207048e
Qifan formated file ColossalAI\colossalai\nn\layer\parallel_1d\layers.py ( #342 )
2022-03-11 15:50:28 +08:00
cbb6436ff0
fix format for dir-[parallel_3d] ( #333 )
2022-03-11 15:50:28 +08:00
a3269de5c9
[zero] cpu adam kernel ( #288 )
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* 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
82023779bb
Added TPExpert for special situation
2022-03-11 15:50:28 +08:00
36b8477228
Fixed parameter initialization in FFNExpert ( #251 )
2022-03-11 15:50:28 +08:00
e13293bb4c
fixed CI dataset directory; fixed import error of 2.5d accuracy ( #255 )
2022-03-11 15:50:28 +08:00
219df6e685
Optimized MoE layer and fixed some bugs;
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Decreased moe tests;
Added FFNExperts and ViTMoE model
2022-03-11 15:50:28 +08:00
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
9ee197d0e9
moved env variables to global variables; ( #215 )
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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
0f8c7f9804
Fixed docstring in colossalai ( #171 )
2022-01-21 10:44:30 +08:00
e2089c5c15
adapted for sequence parallel ( #163 )
2022-01-20 13:44:51 +08:00
f68eddfb3d
refactor kernel ( #142 )
2022-01-13 16:47:17 +08:00
4a3d3446b0
Update layer integration documentations ( #108 )
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Update the documentations of layer integration
Update _log_hook.py
Update _operation.py
2022-01-10 18:05:58 +08:00
dceae85195
Added MoE parallel ( #127 )
2022-01-07 15:08:36 +08:00
7904baf6e1
fix layers/schedule for hybrid parallelization ( #111 ) ( #112 )
2022-01-04 20:52:31 +08:00
96780e6ee4
Optimize pipeline schedule ( #94 )
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* 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
01a80cd86d
Hotfix/Colossalai layers ( #92 )
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* 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
0fedef4f3c
Layer integration ( #83 )
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* 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
632e622de8
overlap computation and communication in 2d operations ( #75 )
2021-12-16 16:05:15 +08:00
35813ed3c4
update examples and sphnix docs for the new api ( #63 )
2021-12-13 22:07:01 +08:00
da01c234e1
Develop/experiments ( #59 )
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* 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#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#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#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
dbe62c67b8
add an example of ViT-B/16 and remove w_norm clipping in LAMB ( #29 )
2021-11-18 23:45:09 +08:00
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#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
3c7604ba30
update documentation
2021-10-29 09:29:20 +08:00
404ecbdcc6
Migrated project
2021-10-28 18:21:23 +02:00
ver217