John Ladasky wrote:
On Mar 28, 2:25 am, Andrea Crotti <andrea.crott...@gmail.com> wrote:
I noticed some time ago in a program that needed speed that deepcopy in
particular is incredibly slow, but I guess is normal since it has to
copy every bit of the data structure.
That may be, but when it already takes several seconds for my neural
network object to compute the output from a 100-element input
sequence, the time that the occasional deepcopy call takes is
insignificant to me.
A random thought that I haven't had time to test -- perhaps it would be
quicker if you could save the existing object to a config object, modify
the config object, then create a new instance of your neural net using
that config object... obviously, it would take some work to get the
initialization code going, but I would expect a speed increase from the
result.
Of course, if that's not where your bottlenext is, we'll never know...
(unless you're the curious type ;).
Oh, and as for the original question, I think I've used the copy module
once.
~Ethan~
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