Comments (2)
Yes in this case taking the emitter outside of the for loop is definitely better in terms of computational speed.
But I guess the boost wouldn't be so much because emitter
is simply composed of few layers of nn.Linear
which should be quite fast to compute and would depend more on number of time steps.
But please feel free to experiment and PR!
from pytorch-deep-markov-model.
Thanks, @yjlolo for confirming. I understand the performance gain may not be that much for this dataset and arrangement of emitter but this architecture applied to a more difficult problem with a richer emitter may benefit.
I just wanted to confirm that doing that does not introduce a bug and/or violate the paper.
Regards
Kapil
from pytorch-deep-markov-model.
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