fused linear and selective recompute #620
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sneaxiy
reviewed
Aug 11, 2022
| @@ -95,6 +95,7 @@ GPT训练默认使用AdamW优化器以及cosine 学习率衰减，这里通过 | |||
| num_train_epochs: 1 | |||
| seed: 1024 | |||
| use_recompute: False | |||
| recompute_granularity: | |||
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不需要，这个recompute是false，空着就行，在backend收到的是一个None
ForFishes
approved these changes
Aug 11, 2022
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Part of pr #613, only contains the fused linear part and selective recompute part.
All below tests are carried out on 345M gpt model
Loss compare for pure data parallel training (dp = 8)
tensor_fusion + fused_linear + selective_recompute
这个性能有fused_linear
Loss compare for hybrid parallel training (dp=mp=pp=2)
fused_linear + selective_recompute