e1d780030d
[NFC] polish colossalai/nn/metric/accuracy_2p5d.py code style ( #1714 )
2022-10-19 12:20:51 +08:00
828e465622
[hotfix] Raise messages for indivisible batch sizes with tensor parallelism ( #622 )
2022-04-02 16:12:04 +08:00
ec5086c49c
Refactored docstring to google style
2022-03-29 17:17:47 +08:00
e13293bb4c
fixed CI dataset directory; fixed import error of 2.5d accuracy ( #255 )
2022-03-11 15:50:28 +08:00
9ee197d0e9
moved env variables to global variables; ( #215 )
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added branch context;
added vocab parallel layers;
moved split_batch from load_batch to tensor parallel embedding layers;
updated gpt model;
updated unit test cases;
fixed few collective communicator bugs
2022-02-15 11:31:13 +08:00
0f8c7f9804
Fixed docstring in colossalai ( #171 )
2022-01-21 10:44:30 +08:00
4a3d3446b0
Update layer integration documentations ( #108 )
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Update the documentations of layer integration
Update _log_hook.py
Update _operation.py
2022-01-10 18:05:58 +08:00
01a80cd86d
Hotfix/Colossalai layers ( #92 )
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* optimized 1d layer apis; reorganized nn.layer modules; fixed tests
* fixed 2.5d runtime issue
* reworked split batch, now called in trainer.schedule.load_batch
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-29 23:32:10 +08:00
0fedef4f3c
Layer integration ( #83 )
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* integrated parallel layers for ease of building models
* integrated 2.5d layers
* cleaned codes and unit tests
* added log metric by step hook; updated imagenet benchmark; fixed some bugs
* reworked initialization; cleaned codes
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2021-12-27 15:04:32 +08:00
shenggan