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When embedding layer is constant folded, the engine size will become larger and larger as inputs increase, while the latency is not affected though. Currently, I only observed the issue on BERT but not on other models.
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zewenli98 commentedon Jul 22, 2025
linear converter PR + fixing broadcast PR can eliminate perf gap on BERT in both fp32 and fp16
zewenli98 commentedon Jul 24, 2025
When embedding layer is constant folded, the engine size will become larger and larger as inputs increase, while the latency is not affected though. Currently, I only observed the issue on BERT but not on other models.
zewenli98 commentedon Jul 28, 2025
engine size issue will follow up in #3710