Comments (7)
How small is small? I've tested this down to dt=1e-7
(so 100 times smaller than the default dt_min
) and things seem fine. (It terminates in 80 seconds on my machine.)
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Good point, I'm observing values of tb - ta
to be as small as 1.7763568394002505e-15
. This is really a result of the while loop in base_solver.py
still stepping forward despite curr_t
being set to ts[-1].
This is clearly due to limited floating point precision, though the precise reason I have not figured out yet.
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Are you saying there's still a bug in base_solver.py
somewhere?
This has made me realise, though that we can get an arbitrarily small timestep on the final step. I'll update the heuristics for creating the dependency tree to be a bit smarter.
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That is clearly the case, i.e. curr_t = ts[-1] < out_t=ts[-1].
from torchsde.
Can you provide a repro? Just eyeballing the integration code nothing really looks wrong to me.
from torchsde.
Can you provide a repro? Just eyeballing the integration code nothing really looks wrong to me.
Try running python -m diagnostics.ito_scalar
on branch dev-remove-tuple
. The problem occurs regardless of which random seed I use on my machine.
I think ultimately, we should step pass the boundary and pull back later on.
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Right, figured it out - this was a bug in BInterval, not in the solver. I'll have a PR in a few moments.
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