86ac782d7c
[test] added timm models to test model zoo ( #3129 )
...
* [test] added timm models to test model zoo
* polish code
* polish code
* polish code
* polish code
* polish code
2023-03-14 14:29:18 +08:00
30dd13c450
[autochunk] support complete benchmark ( #3121 )
...
* refact memory code
* dont log free var memory
* add memory align
* update chunk target
* update setting for new memory
* finish test
* update tracer
* update typo
* update test
* add unet test
* add bench
* update bench
* update bench
* init
* support vit
* move to cpu
* add cpu benchmark
2023-03-13 17:42:37 +08:00
fff98f06ed
[analyzer] a minimal implementation of static graph analyzer ( #2852 )
...
* [hotfix] meta tensor default device.
* [siu] add experimental submodules to main branch.
* [siu]
* [siu]
* [analyzer] init.
* [analyzer] readme.
* [analyzer] readme.
* [analyzer] readme.
* [analyzer] readme.
* [test] add test.
* Update symbolic_trace.py
* mark skip tests.
* try except.
* try except.
* try except.
* s
* init
* init
* fix
* skip
* skip
---------
Co-authored-by: Daniel Shao <superdainiu@MININT-PVARVID.fareast.corp.microsoft.com>
Co-authored-by: Daniel Shao <superdainiu@Daniels-Mac.local>
2023-03-10 13:21:05 +08:00
10c61de2f7
[autochunk] support vit ( #3084 )
...
support vit for autochunk
* support some new ops for vit
* fix some bugs
* add test for vit
2023-03-10 10:23:26 +08:00
8e4e8601b7
[DTensor] implement layout converter ( #3055 )
...
* [DTensor] refactor LayoutConverter for DTensor
* polish code
* polish docstring
2023-03-10 09:53:52 +08:00
2ca9728cbb
[autochunk] refactor chunk memory estimation ( #2762 )
...
* refact memory code
* dont log free var memory
* add memory align
* update chunk target
* update setting for new memory
* finish test
* update tracer
* update typo
* update test
2023-03-08 16:22:30 +08:00
29386a54e6
[DTensor] refactor CommSpec ( #3034 )
2023-03-08 10:45:31 +08:00
4269196c79
[hotfix] skip auto checkpointing tests ( #3029 )
...
* [hotfix] skip auto checkpointing tests
* fix test name issue
2023-03-07 15:50:00 +08:00
cd2b0eaa8d
[DTensor] refactor sharding spec ( #2987 )
...
* [autoparallel] refactor sharding spec
* rename function name
2023-03-07 11:08:11 +08:00
e414e4092b
[DTensor] implementation of dtensor ( #2946 )
...
* [DTensor] implementation of dtensor
* test layout convert
* polish
2023-03-01 16:34:58 +08:00
197d0bf4ed
[autoparallel] apply repeat block to reduce solving time ( #2912 )
2023-02-28 11:03:30 +08:00
819e25d8b1
[hotfix] fix autoparallel compatibility test issues ( #2754 )
2023-02-23 17:28:36 +08:00
0f392d7403
[autoparallel] find repeat blocks ( #2854 )
...
* [autoparallel] find repeat blocks
* polish
* polish
* polish
2023-02-23 17:28:19 +08:00
c7764d3f22
[autoparallel] Patch meta information of `torch.where` ( #2822 )
...
* [autoparallel] patch meta information of torch.where
* [autoparallel] pre-commit modified
2023-02-22 10:28:21 +08:00
fcc4097efa
[autoparallel] Patch meta information of `torch.tanh()` and `torch.nn.Dropout` ( #2773 )
...
* [autoparallel] tanh meta information
* [autoparallel] remove redundant code
* [autoparallel] patch meta information of torch.nn.Dropout
2023-02-22 10:27:59 +08:00
7ea6bc7f69
[autoparallel] Patch tensor related operations meta information ( #2789 )
...
* [autoparallel] tensor related meta information prototype
* [autoparallel] tensor related meta information
* [autoparallel] tensor related meta information
* [autoparallel] tensor related meta information
* [autoparallel] tensor related meta information
2023-02-20 17:38:55 +08:00
56ddc9ca7a
[hotfix] add correct device for fake_param ( #2796 )
2023-02-17 15:29:07 +08:00
a2b43e393d
[autoparallel] Patch meta information of `torch.nn.Embedding` ( #2760 )
...
* [autoparallel] embedding metainfo
* [autoparallel] fix function name in test_activation_metainfo
* [autoparallel] undo changes in activation metainfo and related tests
2023-02-17 10:39:48 +08:00
1dc003c169
[autoparallel] distinguish different parallel strategies ( #2699 )
2023-02-15 22:28:28 +08:00
21d6a48f4d
[autoparallel] add shard option ( #2696 )
...
* [autoparallel] add shard option
* polish
2023-02-15 13:48:28 +08:00
cb2c6a2415
[autoparallel] refactor runtime pass ( #2644 )
...
* [autoparallel] refactor runtime pass
* add unit test
* polish
2023-02-15 10:36:19 +08:00
0b2a738393
[autoparallel] remove deprecated codes ( #2664 )
2023-02-15 09:54:32 +08:00
7fa6be49d2
[autoparallel] test compatibility for gemini and auto parallel ( #2700 )
2023-02-15 09:43:29 +08:00
40c916b192
[autoparallel] Patch meta information of `torch.nn.functional.softmax` and `torch.nn.Softmax` ( #2674 )
...
* [autoparallel] softmax metainfo
* [autoparallel] softmax metainfo
2023-02-13 16:09:22 +08:00
8213f89fd2
[gemini] add fake_release_chunk for keep-gathered chunk in the inference mode ( #2671 )
2023-02-13 14:35:32 +08:00
0385b26ebf
[autoparallel] Patch meta information of `torch.nn.LayerNorm` ( #2647 )
...
* [autoparallel] layernorm metainfo patch
* [autoparallel] polish test
2023-02-10 14:29:24 +08:00
37df666f38
[autoparallel] refactor handlers which reshape input tensors ( #2615 )
...
* [autoparallel] refactor handlers which reshape input tensors
* polish
2023-02-08 15:02:49 +08:00
cb3d1bef62
[autoparallel] adapt autoparallel tests with latest api ( #2626 )
2023-02-08 15:02:12 +08:00
90a9fdd91d
[autoparallel] Patch meta information of `torch.matmul` ( #2584 )
...
* [autoparallel] matmul metainfo
* [auto_parallel] remove unused print
* [tests] skip test_matmul_handler when torch version is lower than 1.12.0
2023-02-08 11:05:31 +08:00
6ba8364881
[autochunk] support diffusion for autochunk ( #2621 )
...
* add alphafold benchmark
* renae alphafold test
* rename tests
* rename diffuser
* renme
* rename
* update transformer
* update benchmark
* update benchmark
* update bench memory
* update transformer benchmark
* rename
* support diffuser
* support unet metainfo prop
* fix bug and simplify code
* update linear and support some op
* optimize max region search, support conv
* update unet test
* support some op
* support groupnorm and interpolate
* update flow search
* add fix dim in node flow
* fix utils
* rename
* support diffusion
* update diffuser
* update chunk search
* optimize imports
* import
* finish autochunk
2023-02-07 16:32:45 +08:00
c4b15661d7
[autochunk] add benchmark for transformer and alphafold ( #2543 )
2023-02-02 15:06:43 +08:00
05671fcb42
[autochunk] support multi outputs chunk search ( #2538 )
...
Support multi outputs chunk search. Previously we only support single output chunk search. It is more flexible and improve performance by a large margin. For transformer, we reduce memory by 40% than previous search strategy.
1. rewrite search strategy to support multi outputs chunk search
2. fix many, many bugs
3. update tests
2023-02-01 13:18:51 +08:00
63199c6687
[autochunk] support transformer ( #2526 )
2023-01-31 16:00:06 +08:00
b55deb0662
[workflow] only report coverage for changed files ( #2524 )
...
* [workflow] only report coverage for changed files
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
* polish file
2023-01-30 21:28:27 +08:00
b528eea0f0
[zero] add zero wrappers ( #2523 )
...
* [zero] add zero wrappers
* change names
* add wrapper functions to init
2023-01-29 17:52:58 +08:00
077a5cdde4
[zero] fix gradient clipping in hybrid parallelism ( #2521 )
...
* [zero] fix gradient clipping in hybrid parallelism
* [testing] change model name to avoid pytest warning
* [hotfix] fix unit testing
2023-01-29 15:09:57 +08:00
707b11d4a0
[gemini] update ddp strict mode ( #2518 )
...
* [zero] add strict ddp mode for chunk init
* [gemini] update gpt example
2023-01-28 14:35:25 +08:00
2d1a7dfe5f
[zero] add strict ddp mode ( #2508 )
...
* [zero] add strict ddp mode
* [polish] add comments for strict ddp mode
* [zero] fix test error
2023-01-20 14:04:38 +08:00
c04f183237
[autochunk] support parsing blocks ( #2506 )
2023-01-20 11:18:17 +08:00
72341e65f4
[auto-chunk] support extramsa ( #3 ) ( #2504 )
2023-01-20 10:13:03 +08:00
ecccc91f21
[autochunk] support autochunk on evoformer ( #2497 )
2023-01-19 11:41:00 +08:00
d565a24849
[zero] add unit testings for hybrid parallelism ( #2486 )
2023-01-18 10:36:10 +08:00
4953b4ace1
[autochunk] support evoformer tracer ( #2485 )
...
support full evoformer tracer, which is a main module of alphafold. previously we just support a simplifed version of it.
1. support some evoformer's op in fx
2. support evoformer test
3. add repos for test code
2023-01-16 19:25:05 +08:00
67e1912b59
[autoparallel] support origin activation ckpt on autoprallel system ( #2468 )
2023-01-16 16:25:13 +08:00
21c88220ce
[zero] add unit test for low-level zero init ( #2474 )
2023-01-15 10:42:01 +08:00
a5dc4253c6
[zero] polish low level optimizer ( #2473 )
2023-01-13 14:56:17 +08:00
867c8c2d3a
[zero] low level optim supports ProcessGroup ( #2464 )
2023-01-13 10:05:58 +08:00
8221fd7485
[autoparallel] update binary elementwise handler ( #2451 )
...
* [autoparallel] update binary elementwise handler
* polish
2023-01-12 09:35:10 +08:00
5521af7877
[zero] fix state_dict and load_state_dict for ddp ignored parameters ( #2443 )
...
* [ddp] add is_ddp_ignored
[ddp] rename to is_ddp_ignored
* [zero] fix state_dict and load_state_dict
* fix bugs
* [zero] update unit test for ZeroDDP
2023-01-11 14:55:41 +08:00
41429b9b28
[autoparallel] add shard option ( #2423 )
2023-01-11 13:40:33 +08:00
bb4e9a311a
[zero] add inference mode and its unit test ( #2418 )
2023-01-11 10:07:37 +08:00
61fdd3464a
update doc
2023-01-10 12:29:09 +08:00
36ab2cb783
change import
2023-01-10 12:20:40 +08:00
7ab2db206f
adapt new fx
2023-01-10 11:56:00 +08:00
e532679c95
Merge branch 'main' of https://github.com/oahzxl/ColossalAI into chunk
2023-01-10 11:29:01 +08:00
c1492e5013
add test in import
2023-01-10 11:20:28 +08:00
ea13a201bb
[polish] polish code for get_static_torch_model ( #2405 )
...
* [gemini] polish code
* [testing] remove code
* [gemini] make more robust
2023-01-09 17:41:38 +08:00
212b5b1b5f
add comments
2023-01-09 16:29:33 +08:00
aafc3516a5
add available
2023-01-09 15:32:19 +08:00
d5c4f0bf95
code style
2023-01-09 15:22:09 +08:00
d106b271f8
add chunk search test
2023-01-09 15:19:08 +08:00
a005965d2d
update codegen test
2023-01-09 14:57:47 +08:00
3abbaf8bc6
update codegen test
2023-01-09 14:53:04 +08:00
74b81395a2
update codegen test
2023-01-09 14:26:22 +08:00
18a51c87fe
rename test
2023-01-09 14:20:54 +08:00
cb68ee864a
set benchmark
2023-01-09 14:20:41 +08:00
4e96039649
[device] find best logical mesh
2023-01-07 14:04:30 +08:00
40d376c566
[setup] support pre-build and jit-build of cuda kernels ( #2374 )
...
* [setup] support pre-build and jit-build of cuda kernels
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
2023-01-06 20:50:26 +08:00
a6cdbf9161
seperate trace flow
2023-01-06 17:24:23 +08:00
da4076846d
rename
2023-01-06 17:09:37 +08:00
fd87d78a28
rename ambiguous variable
2023-01-06 14:28:04 +08:00
8a634af2f5
close mem and code print
2023-01-06 14:19:45 +08:00
1a6d2a740b
take apart chunk code gen
2023-01-06 14:14:45 +08:00
48d33b1b17
[gemini] add get static torch model ( #2356 )
2023-01-06 13:41:19 +08:00
d1f0773182
rename
2023-01-06 11:48:33 +08:00
06a5355d98
update test
2023-01-06 11:44:01 +08:00
efb1c64c30
restruct dir
2023-01-06 11:39:26 +08:00
b5a3a4a65f
[device] find best logical mesh
2023-01-05 17:21:29 +08:00
9c9246c0d9
[device] alpha beta profiler ( #2311 )
...
* [device] alpha beta profiler
* add usage
* fix variable name
2023-01-05 16:39:55 +08:00
db6eea3583
[builder] reconfig op_builder for pypi install ( #2314 )
2023-01-04 16:32:32 +08:00
5d3a2be3af
[amp] add gradient clipping for unit tests ( #2283 )
...
* [amp] add gradient clipping in unit tests
* fix bugs
2023-01-04 11:59:56 +08:00
e94c79f15b
improved allgather & reducescatter for 3d
2023-01-03 17:46:08 +08:00
fb87322773
[autoparallel] fix spelling error ( #2270 )
2023-01-03 16:13:00 +08:00
8897b8f753
[autoparallel] autoparallel initialize ( #2238 )
2022-12-31 01:02:14 +08:00
3b1b91eaf4
[autoparallel] record parameter attribute in colotracer ( #2217 )
...
* [autoparallel] record parameter attribute in collotracer
* [autoparallel] fix construct_meta_info bug
2022-12-28 19:29:08 +08:00
24246f7aa5
[autoparallel] Attach input, buffer and output tensor to MetaInfo class ( #2162 )
...
* [fx] metainfo class for auto parallel
* [fx] add unit test for linear metainfo
* [fx] fix bwd param for linear
* [fx] modify unit test
* [fx] modify unit test
* [fx] modify import
* [fx] modify import
* [fx] modify import
* [fx] move meta profiler to auto parallel
* [fx] add conv metainfo class
* [fx] restore profiler
* [fx] restore meta profiler
* [autoparallel] modify unit test
* [fx] modify unit test
* [autoparallel] add batchnorm metainfo class
* [autoparallel] fix batchnorm unit test function declaration
* [fx] restore profiler
* [fx] add relu metainfo class
* [fx] restore profiler
* [autoparallel] modify metainfo input
* [autoparallel] add pooling metainfo
* [autoparallel] add F.linear metainfo generator
* [autoparallel] add binary elementwise metainfo
* [fx] recover profiler
* [autoparallel] fix forward memory calculation
* [autoparallel] modify constants.py
* [autoparallel] remove redundant print
* [autoparallel] add F.conv metainfo
* [autoparallel] linear fix
* [autoparallel] memory estimation for communication actions
* [autoparallel] fix docstring
* [autoparallel] fix variables name
* [autoparallel] attach tensor to metainfo class
* [autoparallel] fix dangerous try except
* [autoparallel] attach memory cost to shape consistency node
* [autoparallel] attach shape consistency node's metainfo to the node
* [autoparallel] remove todo in shape consistency memory estimation
* [autoparallel] fix the annotation
2022-12-28 13:37:40 +08:00
78509124d3
[autoparallel] update getitem handler ( #2207 )
2022-12-27 19:58:32 +08:00
4851f2d607
[autoparallel] update_getattr_handler ( #2193 )
2022-12-26 21:57:39 +08:00
f10ce01e31
[autoparallel] add gpt2 performance test code ( #2194 )
2022-12-26 21:56:58 +08:00
a3100bd50d
[testing] add beit model for unit testings ( #2196 )
...
* [testing] add beit model
* [beit] fix bugs
* [beit] fix bugs
* [testing] fix bugs
2022-12-26 17:35:36 +08:00
2458659919
[zero] fix error for BEiT models ( #2169 )
...
* [zero] fix error for BEiT models
* [ColoParameter] add unpack operation for tuple arguments
* fix bugs
* fix chunkv2 unit testing
* add assertion for gradient state
2022-12-26 15:03:54 +08:00
355ffb386e
[builder] unified cpu_optim fused_optim inferface ( #2190 )
2022-12-23 20:57:41 +08:00
9587b080ba
[builder] use runtime builder for fused_optim ( #2189 )
2022-12-23 17:07:03 +08:00
bc0e271e71
[buider] use builder() for cpu adam and fused optim in setup.py ( #2187 )
2022-12-23 16:05:13 +08:00
d42afd30f8
[builder] runtime adam and fused_optim builder ( #2184 )
2022-12-23 14:14:21 +08:00
550f8f8905
[autoparallel] integrate_gpt_related_tests ( #2134 )
...
* [autoparallel] integrate_gpt_related_tests
* polish code
* polish code
* add GPT2Model into runtime test
2022-12-23 12:36:59 +08:00
27327a4c90
[example] add palm pytorch version ( #2172 )
2022-12-22 10:15:34 +08:00
b87496a66b
[hotfix] fix auto policy of test_sharded_optim_v2 ( #2157 )
2022-12-20 23:03:18 +08:00
16335cb537
[hotfix] fix aten default bug ( #2158 )
2022-12-20 22:40:46 +08:00
2827f41898
[Gemini] GeminiDPP convert to PyTorch Module. ( #2151 )
2022-12-20 10:19:36 +08:00
Frank Lee