258b43317c
[hotfix] layout converting issue ( #3188 )
2023-03-21 13:24:18 +08:00
2eca4cd376
[DTensor] refactor dtensor with new components ( #3089 )
...
* [DTensor] refactor dtensor with new components
* polish
2023-03-14 16:25:47 +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
29386a54e6
[DTensor] refactor CommSpec ( #3034 )
2023-03-08 10:45:31 +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
47fb214b3b
[hotfix] add shard dim to aviod backward communication error ( #2954 )
2023-03-01 11:41:53 +08:00
8c8a39be95
[hotfix]: Remove math.prod dependency ( #2837 )
...
* Remove math.prod dependency
* Fix style
* Fix style
---------
Co-authored-by: Jiatong Han <jiatong.han@u.nus.edu>
2023-02-23 23:56:15 +08:00
552183bb74
[polish] polish ColoTensor and its submodules ( #2537 )
2023-02-03 11:44:10 +08:00
aa0f6686f9
[autoparallel] accelerate gpt2 training ( #2495 )
2023-01-29 11:13:15 +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
8f72b6f8fb
[hotfix] fix implement error in diffusers
2023-01-07 07:56:39 +08:00
33f3023e19
[hotfix] fix implement error in diffusers
2023-01-06 18:37:18 +08:00
1aaeb596c6
[example] gpt, shard init on all processes ( #2366 )
2023-01-06 15:44:50 +08:00
22e947f982
[autoparallel] fix runtime apply memory estimation ( #2281 )
...
* [autoparallel] align the data_ptr with the old version of auto activation checkpoint pipeline
* [autoparallel] using fwd_time and bwd_time instead of fwd_flop and bwd_flop
* [autoparallel] specifycomm nodes' memory cost in construct chain
* [autoparallel] fix wrong runtime apply calculation
* [autoparallel] fix wrong runtime apply calculation
* [autoparallel] fix wrong runtime apply calculation
2023-01-03 17:18:07 +08:00
85178a397a
[hotfix] fix error for torch 2.0 ( #2243 )
2022-12-30 23:11:55 +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
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
cfe2a9bd90
[autoparallel] memory estimation for shape consistency ( #2144 )
...
* [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
2022-12-21 10:39:37 +08:00
2827f41898
[Gemini] GeminiDPP convert to PyTorch Module. ( #2151 )
2022-12-20 10:19:36 +08:00
e99edfcb51
[NFC] polish comments for Chunk class ( #2116 )
2022-12-12 15:39:31 +08:00
b3b89865e2
[Gemini] ParamOpHook -> ColoParamOpHook ( #2080 )
2022-12-05 17:11:06 +08:00
81330b0352
[autoparallel] add experimental permute handler ( #2029 )
2022-11-27 20:26:52 +08:00
d655eea515
[autoparallel] mix gather ( #1977 )
...
* Add mix-gather
* Add comments
* Add comments
* Polish comments
* Change the global rank assumption
* Add tests
* Add two-step tests
* Fix 10 and 01
* Skip test becasue the number of GPUs
2022-11-23 21:49:17 +08:00
36c0f3ea5b
[autoparallel] remove redundancy comm node ( #1893 )
2022-11-15 10:53:41 +08:00
49216d7ab1
[autoparallel] fix bugs caused by negative dim key ( #1808 )
...
* [autoparallel] fix bugs caused by negative dim key
* fix import error
* fix matmul test issue
* fix unit test issue
2022-11-08 17:03:50 +08:00
218c75fd9d
[NFC] polish type hint for shape consistency ( #1801 )
...
* [NFC] polish type hint for shape consistency
* polish code
* polish code
2022-11-07 14:13:03 +08:00
c6a1a62636
[hotfix] fix zero's incompatibility with checkpoint in torch-1.12 ( #1786 )
...
* [hotfix] fix zero's incompatibility with checkpoint in torch-1.12
* [zero] add cpu shard init
* [zero] add tiny example test
* [colo_tensor] fix bugs for torch-1.11
2022-11-02 16:11:34 +08:00
f3f19a5c47
[autoparallel] added matmul handler ( #1763 )
...
* [autoparallel] added matmul handler
* polish code
2022-11-01 15:14:53 +08:00
b0f7c8bde8
[autoparallel] update CommSpec to CommActions ( #1768 )
...
* [autoparallel] update CommSpec to CommActions
* polish code
2022-10-28 09:57:43 +08:00
b4cc59b61e
[autoparallel] add numerical test for node strategies ( #1760 )
...
* [autoparallel] add numerical test for node strategies
* polish code
* polish code
2022-10-27 10:42:54 +08:00
980ed21723
[autoparallel] shard param and buffer as expected ( #1753 )
...
* [autoparallel] shard param and buffer as expected
* fix unit test issue
2022-10-21 15:45:13 +08:00
a4ce180e85
[autoparallel] add sequential order to communication actions ( #1735 )
2022-10-20 18:48:18 +08:00
993b8875b6
[autoparallel] handled illegal sharding strategy in shape consistency ( #1744 )
...
* [autoparallel] handled illegal sharding strategy in shape consistency
* polish code
2022-10-20 12:06:25 +08:00
eee84908d4
[autoparallel] handled illegal sharding strategy ( #1728 )
...
* [autoparallel] handled illegal sharding strategy
* polish code
2022-10-19 12:53:06 +08:00
51b89d2202
[autoparallel] runtime_backward_apply ( #1720 )
2022-10-18 10:44:58 +08:00
4973157ad7
[autoparallel] added sharding spec conversion for linear handler ( #1687 )
2022-10-12 11:16:18 +08:00
3f068d1409
[autoparallel] update CommSpec ( #1667 )
2022-09-29 11:20:59 +08:00
154d3ef432
[fix] fixed the collective pattern name for consistency ( #1649 )
...
* [fix] fixed the collective pattern name for consistency
* polish code
2022-09-26 16:39:37 +08:00
702dbc5288
[tensor] use communication autograd func ( #1617 )
...
* [tensor] use communication autograd func
* change all to all comm spec info
* rename pattern and distinguish fwd/bwd
* polish code
2022-09-23 13:31:15 +08:00
27fe8af60c
[autoparallel] refactored shape consistency to remove redundancy ( #1591 )
...
* [autoparallel] refactored shape consistency to remove redundancy
* polish code
* polish code
* polish code
2022-09-13 18:30:18 +08:00
44c866a3e3
[autoparallel] change the merge node logic ( #1533 )
2022-09-07 11:18:19 +08:00
4b03c25f85
[tensor]add 1D device mesh ( #1492 )
2022-08-25 16:48:12 +08:00
26a37b5cd5
[autoparallel] Add conv handler to generate strategies and costs info for conv ( #1467 )
2022-08-19 14:57:23 +08:00
1b491ad7de
[doc] update docstring in ProcessGroup ( #1468 )
2022-08-19 13:41:57 +08:00
b73fb7a077
[tensor] support runtime ShardingSpec apply ( #1453 )
...
* [tensor] support runtime ShardingSpec apply
* polish code
* polish code
2022-08-19 13:39:51 +08:00
36824a304c
[Doc] add more doc for ColoTensor. ( #1458 )
2022-08-16 10:38:41 +08:00
a1476ea882
[NFC] polish doc style for ColoTensor ( #1457 )
2022-08-16 09:21:05 +08:00
0f3042363c
[tensor] shape consistency generate transform path and communication cost ( #1435 )
...
* [tensor] shape consistency output transform path and communication cost
* polish code
2022-08-12 14:02:32 +08:00
ae1b58cd16
[tensor] added linear implementation for the new sharding spec ( #1416 )
...
* [tensor] added linear implementation for the new sharding spec
* polish code
2022-08-12 11:33:09 +08:00
YuliangLiu0306