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26 Commits (a73130482df257e5efd7bdc88435bad0578cb5e4)

Author SHA1 Message Date
digger yu 32f81f14d4
[NFC] fix typo colossalai/amp auto_parallel autochunk (#3756) 2023-05-19 13:50:00 +08:00
YuliangLiu0306 ffcdbf0f65
[autoparallel]integrate auto parallel feature with new tracer (#3408) 
* [autoparallel] integrate new analyzer in module level

* unify the profiling method

* polish

* fix no codegen bug

* fix pass bug

* fix liveness test

* polish
 2023-04-04 17:40:45 +08:00
YuliangLiu0306 fee2af8610
[autoparallel] adapt autoparallel with new analyzer (#3261) 
* [autoparallel] adapt autoparallel with new analyzer

* fix all node handler tests

* polish

* polish
 2023-03-30 17:47:24 +08:00
Boyuan Yao eae77c831d
[autoparallel] Patch meta information for nodes that will not be handled by SPMD solver (#2823) 
* [autoparallel] non spmd meta information generator

* [autoparallel] patch meta information for non spmd nodes
 2023-02-22 10:28:56 +08:00
Boyuan Yao 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
Boyuan Yao 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
Boyuan Yao 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
Boyuan Yao 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
Boyuan Yao 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
Boyuan Yao 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
Boyuan Yao 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
Boyuan Yao b904748210
[autoparallel] bypass MetaInfo when unavailable and modify BCAST_FUNC_OP metainfo (#2293) 
* [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

* [autoparallel] bypass metainfo when available and modify BCAST_FUNC_OP
 2023-01-03 20:28:01 +08:00
Boyuan Yao 1ea99b869e
[autoparallel] align the data_ptr with the old version of auto activation checkpoint pipeline (#2261) 2023-01-03 10:30:15 +08:00
Boyuan Yao ab38aebace
[autoparallel] Hook all meta information on ResNet nodes for auto activation checkpoint (#2248) 
* [autoparallel] hook node meta on graph nodes for checkpoint solver

* [autoparallel] polish code

* [autoparallel] restore some node handlers

* colossalai/auto_parallel/passes/meta_info_prop.py

* [autoparallel] remove some unused import

* [autoparallel] hook bwd_mem_out
 2023-01-02 16:25:18 +08:00
Boyuan Yao c8c79102f0
[autoparallel] patch torch.flatten metainfo for autoparallel (#2247) 
* [autoparallel] patch torch.flatten
 2023-01-02 15:51:03 +08:00
Boyuan Yao 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
YuliangLiu0306 1cce6e36ca
[autoparallel] use metainfo in handler (#2149) 2022-12-20 10:31:22 +08:00
Boyuan Yao cf0268da93
[autoparallel] Add F.conv metainfo (#2069) 
* [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
 2022-12-06 10:17:57 +08:00
Boyuan Yao 616da17fab
[autoparallel] add binary elementwise metainfo for auto parallel (#2058) 
* [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
 2022-12-04 15:18:51 +08:00
Boyuan Yao 4b40fbd743
[autoparallel] fix forward memory calculation (#2062) 2022-12-04 15:00:16 +08:00
Boyuan Yao 6cd784ffee
[autoparallel] Add metainfo support for F.linear (#1987) 
* [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
 2022-11-23 14:12:34 +08:00
Boyuan Yao c26f21d365
[autoparallel] add pooling metainfo (#1968) 
* [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
 2022-11-18 15:13:03 +08:00
Boyuan Yao 7c7921f71b
[autoparallel] add torch.nn.ReLU metainfo (#1868) 
* [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
 2022-11-16 23:12:31 +08:00
Boyuan Yao 629172b319
[autoparallel] add batch norm metainfo (#1815) 
* [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
 2022-11-08 15:05:26 +08:00
Boyuan Yao 327d07c44a
[autoparallel] add conv metainfo class for auto parallel (#1796) 
* [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
 2022-11-07 16:15:35 +08:00
Boyuan Yao 05ce3d369f
[fx] Add linear metainfo class for auto parallel (#1783) 
* [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
 2022-11-04 10:55:09 +08:00