73d3e4d309
[booster] implemented the torch ddd + resnet example ( #3232 )
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* [booster] implemented the torch ddd + resnet example
* polish code
2023-03-27 10:24:14 +08:00
4d5d8f98a4
[API] implement device mesh manager ( #3221 )
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* [API] implement device mesh manager
* polish
2023-03-24 13:39:12 +08:00
045afa3ea2
[hotfix] skip torchaudio tracing test ( #3211 )
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* [hotfix] skip torchaudio tracing test
* fix lazy init test issue
2023-03-24 12:15:33 +08:00
cd142fbefa
[api] implemented the checkpoint io module ( #3205 )
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* [api] implemented the checkpoint io module
* polish code
* polish code
2023-03-23 10:53:17 +08:00
f8289d4221
[lazyinit] combine lazy tensor with dtensor ( #3204 )
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* [lazyinit] lazy tensor add distribute
* [lazyinit] refactor distribute
* [lazyinit] add test dist lazy init
* [lazyinit] add verbose info for dist lazy init
* [lazyinit] fix rnn flatten weight op
* [lazyinit] polish test
* [lazyinit] polish test
* [lazyinit] fix lazy tensor data setter
* [lazyinit] polish test
* [lazyinit] fix clean
* [lazyinit] make materialize inplace
* [lazyinit] refactor materialize
* [lazyinit] refactor test distribute
* [lazyinit] fix requires_grad
* [lazyinit] fix tolist after materialization
* [lazyinit] refactor distribute module
* [lazyinit] polish docstr
* [lazyinit] polish lazy init context
* [lazyinit] temporarily skip test
* [lazyinit] polish test
* [lazyinit] add docstr
2023-03-23 10:53:06 +08:00
019a847432
[Analyzer] fix analyzer tests ( #3197 )
2023-03-22 13:38:11 +08:00
f57d34958b
[FX] refactor experimental tracer and adapt it with hf models ( #3157 )
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* pass gpt trace and meta_prop
* pass t5 trace and meta_prop
* [FX] refactor experimental tracer and adapt it with hf models
* pass all mainstream model zoo
* fix CI
* fix CI
* fix CI
* fix CI
* fix CI
* fix CI
* fix CI
* fix CI
* skip tests
* fix CI
* using packaging version
* polish
2023-03-22 10:40:33 +08:00
e7f3bed2d3
[booster] added the plugin base and torch ddp plugin ( #3180 )
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* [booster] added the plugin base and torch ddp plugin
* polish code
* polish code
* polish code
2023-03-21 17:39:30 +08:00
18dbe76cae
[auto-parallel] add auto-offload feature ( #3154 )
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* add auto-offload feature
* polish code
* fix syn offload runtime pass bug
* add offload example
* fix offload testing bug
* fix example testing bug
2023-03-21 14:17:41 +08:00
7bc0afc901
updated flash attention usage
2023-03-20 17:57:04 +08:00
085e7f4eff
[test] fixed torchrec registration in model zoo ( #3177 )
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* [test] fixed torchrec registration in model zoo
* polish code
* polish code
* polish code
2023-03-20 16:19:06 +08:00
a9b8402d93
[booster] added the accelerator implementation ( #3159 )
2023-03-20 13:59:24 +08:00
1ad3a636b1
[test] fixed torchrec model test ( #3167 )
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* [test] fixed torchrec model test
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
2023-03-20 11:40:25 +08:00
6ae8ed0407
[lazyinit] add correctness verification ( #3147 )
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* [lazyinit] fix shared module
* [tests] add lazy init test utils
* [tests] add torchvision for lazy init
* [lazyinit] fix pre op fn
* [lazyinit] handle legacy constructor
* [tests] refactor lazy init test models
* [tests] refactor lazy init test utils
* [lazyinit] fix ops don't support meta
* [tests] lazy init test timm models
* [lazyinit] fix set data
* [lazyinit] handle apex layers
* [tests] lazy init test transformers models
* [tests] lazy init test torchaudio models
* [lazyinit] fix import path
* [tests] lazy init test torchrec models
* [tests] update torch version in CI
* [tests] revert torch version in CI
* [tests] skip lazy init test
2023-03-17 13:49:04 +08:00
ed19290560
[booster] implemented mixed precision class ( #3151 )
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* [booster] implemented mixed precision class
* polish code
2023-03-17 11:00:15 +08:00
ecd643f1e4
[test] add torchrec models to test model zoo ( #3139 )
2023-03-15 05:46:04 +00:00
14a115000b
[tests] model zoo add torchaudio models ( #3138 )
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* [tests] model zoo add torchaudio models
* [tests] refactor torchaudio wavernn
* [tests] refactor fx torchaudio tests
2023-03-15 11:51:16 +08:00
6d48eb0560
[test] added transformers models to test model zoo ( #3135 )
2023-03-15 11:26:10 +08:00
a674c63348
[test] added torchvision models to test model zoo ( #3132 )
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* [test] added torchvision models to test model zoo
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
2023-03-15 10:42:07 +08:00
1216d1e7bd
[tests] diffuser models in model zoo ( #3136 )
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* [tests] diffuser models in model zoo
* remove useless code
* [tests] add diffusers to requirement-test
2023-03-14 17:20:28 +08:00
2eca4cd376
[DTensor] refactor dtensor with new components ( #3089 )
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* [DTensor] refactor dtensor with new components
* polish
2023-03-14 16:25:47 +08:00
86ac782d7c
[test] added timm models to test model zoo ( #3129 )
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* [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 )
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* 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 )
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* [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 )
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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 )
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* [DTensor] refactor LayoutConverter for DTensor
* polish code
* polish docstring
2023-03-10 09:53:52 +08:00
2ca9728cbb
[autochunk] refactor chunk memory estimation ( #2762 )
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* 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 )
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* [hotfix] skip auto checkpointing tests
* fix test name issue
2023-03-07 15:50:00 +08:00
cd2b0eaa8d
[DTensor] refactor sharding spec ( #2987 )
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* [autoparallel] refactor sharding spec
* rename function name
2023-03-07 11:08:11 +08:00
e414e4092b
[DTensor] implementation of dtensor ( #2946 )
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* [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 )
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* [autoparallel] find repeat blocks
* polish
* polish
* polish
2023-02-23 17:28:19 +08:00
c7764d3f22
[autoparallel] Patch meta information of `torch.where` ( #2822 )
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* [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 )
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* [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 )
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* [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 )
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* [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 )
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* [autoparallel] add shard option
* polish
2023-02-15 13:48:28 +08:00
cb2c6a2415
[autoparallel] refactor runtime pass ( #2644 )
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* [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 )
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* [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 )
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* [autoparallel] layernorm metainfo patch
* [autoparallel] polish test
2023-02-10 14:29:24 +08:00
37df666f38
[autoparallel] refactor handlers which reshape input tensors ( #2615 )
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* [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 )
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* [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
Frank Lee