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NVIDIA / TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

Home Page:https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html

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When ub_overlap_rs_dgrad is set to True, the error "Caught signal 8 (Floating point exception: integer divide by zero)" is raised.

JJGSBGQ opened this issue · comments

commented

Setting ub_overlap_rs_dgrad to True in megatron-LM will raise "Caught signal 8 (Floating point exception: integer divide by zero) "error, which was eventually found to be caused by a problem with the tex.gemm calculation in the backward.

196DF0A7-6E1C-43f2-B3E9-86FE4AEA76D3

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