d925122020
[autoparallel] added new linear module handler ( #1616 )
2022-09-21 12:23:21 +08:00
170fa81095
[pipeline/chimera] test chimera | fix bug of initializing ( #1615 )
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* [pipeline/tuning] improve dispatch performance both time and space cost
* [pipeline/converge] add interface for testing convergence
* [NFC] polish colossalai/utils/multi_tensor_apply/multi_tensor_apply.py code style
* Update PipelineBase.py
* [pipeline/chimera] reconstruct PipelineBase and Worker to support more feasible custom schedule | finish Chimera
* [pipeline/chimera] test chimera | fix bug of initializing
2022-09-20 18:00:39 +08:00
504ff1d101
[embeddings] use cache_ratio instead of cuda_row_num ( #1611 )
2022-09-20 14:33:04 +08:00
6a8f8cc05e
[hotfix] got sliced types ( #1614 )
2022-09-20 14:32:42 +08:00
d397842fa8
[autoparallel] added new node handler ( #1612 )
2022-09-20 14:17:21 +08:00
7d1bb71d5d
[fx] PoC of runtime shape consistency application ( #1607 )
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* [fx] PoC of runtime shape consistency application
* polish code
2022-09-20 14:00:04 +08:00
47b11c432c
[autoparallel]add bcast matmul strategies ( #1605 )
2022-09-20 11:26:21 +08:00
edb67cb378
[autoparallel] refactored the data structure for sharding strategy ( #1610 )
2022-09-20 11:20:54 +08:00
933b6c6367
[fx] Add pofo solver ( #1608 )
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* [fx] add pofo algorithm
* [fx] Add pofo solver
* [fx] code refactor
* [fx] fix test_linearize import
2022-09-20 11:20:48 +08:00
edc9e419ad
[pipeline/chimera] reconstruct PipelineBase and Worker to support more feasible custom schedule | finish Chimera ( #1595 )
...
* [pipeline/tuning] improve dispatch performance both time and space cost
* [pipeline/converge] add interface for testing convergence
* [NFC] polish colossalai/utils/multi_tensor_apply/multi_tensor_apply.py code style
* Update PipelineBase.py
* [pipeline/chimera] reconstruct PipelineBase and Worker to support more feasible custom schedule | finish Chimera
2022-09-19 11:44:18 +08:00
c9e8ce67b8
fix move fp32 shards ( #1604 )
2022-09-16 17:33:16 +08:00
eac1b79371
[autoparallel] add bcast op handler ( #1600 )
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* [autoparallel] add bcast op handler
* polish code
* add more BCAST FUNC OP
* polish code
* add exception handler
* polish
2022-09-16 11:33:01 +08:00
3abf98a633
[autoparallel] added all non-bcast matmul strategies ( #1603 )
2022-09-16 10:47:32 +08:00
db98b695b2
[autoparallel] added strategy generator and bmm strategies ( #1602 )
2022-09-15 16:57:07 +08:00
a19eb80998
[embedding] updates some default parameters
2022-09-15 15:45:17 +08:00
cd5cf2bcc9
[fx/tuning] tune performance on rotor with meta info. ( #1599 )
2022-09-15 14:46:36 +08:00
a7cda6f57d
[fx] Add offload codegen ( #1598 )
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* [fx] add input activation offload to codegen
* [fx] modify unit test
* [fx] remove two skips in torch11
* [fx] use all_input_nodes instead of _input_nodes
2022-09-14 15:49:06 +08:00
c8e9b2ad78
[hotfix/rotor] fix variable names ( #1597 )
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* [fx] add some comment and docstrings.
* [fx] add dataflow analysis for an autograd graph.
* add intepretation for graph analysis.
* [fx] before doing save_tensor_hooks.
* [fx] provide an accurate estimation of memory except for GPT-2.
* [fx] provide an accurate estimation of memory except for GPT-2.
* [fx] provide an accurate estimation of memory except for GPT-2.
* [fx] a very accurate version on GPT-2.
* [fx] refactor code.
* [fx] remove redundant inplace=True.
* [fx] refactor code.
* [fx] refactor code.
* [fx] refactor code.
* [fx] dive into backward memory.
* [fx] fix variable names in ckpt_solvers and unskip tests.
* [fx] commit my changes.
* [fx] restore skips.
* [fx] restore skips.
* [fx] chaange stage into phase.
* [fx] chaange stage into phase.
* [fx] chaange stage into phase.
2022-09-14 14:27:04 +08:00
faa23b9d9a
[autoparallel] add reshape handler ( #1594 )
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* [autoparallel] add reshape handler
* polish code
2022-09-14 10:25:45 +08:00
5c494d4540
[fx] provide an accurate estimation of memory. ( #1587 )
...
* [fx] add some comment and docstrings.
* [fx] add dataflow analysis for an autograd graph.
* add intepretation for graph analysis.
* [fx] before doing save_tensor_hooks.
* [fx] provide an accurate estimation of memory except for GPT-2.
* [fx] provide an accurate estimation of memory except for GPT-2.
* [fx] provide an accurate estimation of memory except for GPT-2.
* [fx] a very accurate version on GPT-2.
* [fx] refactor code.
* [fx] remove redundant inplace=True.
* [fx] refactor code.
* [fx] refactor code.
* [fx] refactor code.
* [fx] dive into backward memory.
2022-09-14 09:36:43 +08:00
27fe8af60c
[autoparallel] refactored shape consistency to remove redundancy ( #1591 )
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* [autoparallel] refactored shape consistency to remove redundancy
* polish code
* polish code
* polish code
2022-09-13 18:30:18 +08:00
d164449d00
[autoparallel] add resnet autoparallel unit test and add backward weight communication cost ( #1589 )
2022-09-13 18:05:05 +08:00
7c18a588c8
[autoparallel] added generate_sharding_spec to utils ( #1590 )
2022-09-13 15:43:22 +08:00
49ccf8b5f8
[fx] Improve linearize and rotor solver ( #1586 )
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* [fx] add nested activation_checkpoint codegen
* undo algorithms commits
* solver
* undo some commits
* [fx] torch11 add nested activation checkpoint codegen
* remove some imports
* [fx] add some comments in activation codegen
* [fx] codegen instance error fix
* [fx] imporve linearize and rotor solver
* [fx] some comments and format modification
2022-09-13 14:50:04 +08:00
219f66c571
[autoparallel] added solver option dataclass ( #1588 )
2022-09-13 14:47:09 +08:00
82d4376c23
[autoparallel] adapt solver with resnet ( #1583 )
...
* [autoparallel]adapt solver with resnet
* polish code
* polish code
2022-09-13 12:07:09 +08:00
f3403ff98e
[embeddings] add already_split_along_rank flag for tablewise mode ( #1584 )
2022-09-13 10:50:34 +08:00
f3687e4ee2
[fx] Add nested checkpoint in activation checkpoint codegen ( #1585 )
...
* [fx] add nested activation_checkpoint codegen
* undo algorithms commits
* solver
* undo some commits
* [fx] torch11 add nested activation checkpoint codegen
* remove some imports
* [fx] add some comments in activation codegen
* [fx] codegen instance error fix
2022-09-12 20:00:48 +08:00
20e466527b
[NFC] polish ./colossalai/trainer/hooks/_lr_scheduler_hook.py code style ( #1576 )
2022-09-08 22:11:04 +08:00
06dccdde44
[NFC] polish colossalai/zero/sharded_model/reduce_scatter.py code style ( #1554 )
2022-09-08 22:11:04 +08:00
2ac46f7be4
[NFC] polish utils/tensor_detector/__init__.py code style ( #1573 )
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Co-authored-by: ric <mkkt_bkkt@mail.ustc.edu.cn>
2022-09-08 22:11:04 +08:00
2144cbae8c
[NFC] polish colossalai/nn/lr_scheduler/multistep.py code style ( #1572 )
2022-09-08 22:11:04 +08:00
e4bf7ae667
[NFC] polish colossalai/nn/lr_scheduler/torch.py code style ( #1571 )
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Co-authored-by: Research <research@soccf-snr3-017.comp.nus.edu.sg>
2022-09-08 22:11:04 +08:00
3263cdf57f
[NFC] polish colossalai/nn/parallel/data_parallel.py code style ( #1570 )
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Co-authored-by: JThh <jiatong.han@u.nus.edu>
2022-09-08 22:11:04 +08:00
f566c9b98d
[NFC] polish colossalai/pipeline/utils.py code style ( #1562 )
2022-09-08 22:11:04 +08:00
e070ca45c6
[NFC] polish colossalai/fx/tracer/meta_patch/patched_module/convolution.py code style ( #1563 )
2022-09-08 22:11:04 +08:00
9823cbf24b
[NFC] polish colossalai/gemini/update/chunkv2.py code style ( #1565 )
2022-09-08 22:11:04 +08:00
f586887a90
[NFC] polish colossalai/nn/layer/colossalai_layer/dropout.py code style ( #1568 )
2022-09-08 22:11:04 +08:00
c7d4932956
[NFC] polish colossalai/utils/tensor_detector/tensor_detector.py code style ( #1566 )
2022-09-08 22:11:04 +08:00
0c4c9aa6e0
[NFC] polish colossalai/nn/_ops/embedding.py code style ( #1561 )
2022-09-08 22:11:04 +08:00
08815f0e72
[NFC] polish colossalai/builder/__init__.py code style ( #1560 )
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Co-authored-by: henryqin1997 <henryqin1997@gamil.com>
2022-09-08 22:11:04 +08:00
8328917348
[NFC] polish colossalai/testing/comparison.py code style. ( #1558 )
2022-09-08 22:11:04 +08:00
7cc052f6c0
[NFC] polish colossalai/nn/layer/colossalai_layer/linear.py ( #1556 )
2022-09-08 22:11:04 +08:00
46931e3c32
[NFC] polish code colossalai/gemini/update/search_utils.py ( #1557 )
2022-09-08 22:11:04 +08:00
413f9c19f4
[NFC] polish colossalai/nn/_ops/layernorm.py code style ( #1555 )
2022-09-08 22:11:04 +08:00
8edb777cc2
[NFC] polish colossalai/nn/loss/loss_2p5d.py code style ( #1553 )
2022-09-08 22:11:04 +08:00
bd2d789832
[NFC] polish colossalai/nn/_ops/embedding_bag.py code style ( #1552 )
2022-09-08 22:11:04 +08:00
73e9eb13b7
[NFC] polish colossalai/nn/lr_scheduler/cosine.py code style
2022-09-08 22:11:04 +08:00
318fbf1145
[NFC] polish colossalai/utils/multi_tensor_apply/multi_tensor_apply.py code style ( #1559 )
2022-09-08 22:04:34 +08:00
a389ac4ec9
[embedding] cache_embedding small improvement ( #1564 )
2022-09-08 16:41:19 +08:00
Frank Lee