[Feature] Auto scaling factor tuning for FP8 collective communication #140
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Description
Support for auto scaling factor tuning #41
Related Example: Azure/MS-AMP-Examples#21
Performance (model: GPT-345M, https://github.com/Azure/MS-AMP-Examples/blob/main/gpt3/pretrain_345m_megatron.sh):
msamp w/o auto scaling
validation loss at iteration 5000 | lm loss value: 3.531525E+00 | lm loss PPL: 3.417605E+01 |
samples per second: 519.524 | TFLOPs: 155.99 |
msamp w/ auto scaling (Add the argument
--wgrad-auto-scaling):validation loss at iteration 5000 | lm loss value: 3.529646E+00 | lm loss PPL: 3.411188E+01 |
samples per second: 516.702 | TFLOPs: 155.14 |
Major Revision
pre_scalein ScalingMetapre_scalesupport inArithmetic.add_to_fp8