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View Code? Open in Web Editor NEWAlex Graves' Adaptive Computation Time in PyTorch
Alex Graves' Adaptive Computation Time in PyTorch
In (line 265)[https://github.com/zphang/adaptive-computation-time-pytorch/blob/938bb797eb7ba095afd3e4df7788fc74b736636b/act/models.py#L265], the accum_hx
is divided by the step_count
after weighting by the halting probability (line 252). But in the original paper, s_t is only weighted by the probability and not divided by the step_count
. So what is the point of dividing the accum_hx
by the step_count
.
Nice code,but I am confused about why accum_h is added twice in models.py 248 row and 252 row. I think 248 row should be deleted.
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