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But on a serious note :) @kurmukovai , as @lantiga pointed out, the initial run could be slow because of the compilation/program analysis step. Note, however, that changes in inputs' meta-data (like device, shapes, but not the data itself) may trigger re-compilation.
Once meta-data is fixed and is not expected to change, the goal is to suffer a single initial warm-up perf hit for faster subsequent runs (for example, during inference).
If meta-data is expected to vary (say, like in the streaming setting), but this set is finite, one could cache compiled models to avoid non-stop re-compilations.
🐛 Bug
I feel like marketing is misleading, as thunder is 1_000_000 times slower than lightning^[1,2]
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