Comments (1)
Gabri95
commented on May 28, 2024
Hi @shim94kr ,
mhmm estimating the number of flops for a general equivariant model might be quite hard in general, as it will require ad hoc code.
However, if your model is sufficiently simple, you can just call the .export() method and turn it into a pure PyTorch model and, then, try to use that library over the converted model.
This is also a more reliable estimation: at test/inference time, one does not need to construct or expand the kernels, which means that overhead should not be counted.
Hope this helps!
Best,
Gabriele
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