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pytensor
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328f449e
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328f449e
authored
12月 08, 2012
作者:
Olivier Delalleau
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inplace.txt
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doc/extending/inplace.txt
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@@ -204,14 +204,17 @@ Inplace optimization and DebugMode
...
@@ -204,14 +204,17 @@ Inplace optimization and DebugMode
It is recommended that during the graph construction, all Ops are not inplace.
It is recommended that during the graph construction, all Ops are not inplace.
Then an optimization replaces them with inplace ones. Currently DebugMode checks
Then an optimization replaces them with inplace ones. Currently DebugMode checks
all optimizations that were tried even if they got rejected. One reason an inplace
all optimizations that were tried even if they got rejected. One reason an inplace
optimization can get rejected is
that
there is another Op that is already being applied
optimization can get rejected is
when
there is another Op that is already being applied
inplace on the same input. Another reason to reject an inplace optimization is
inplace on the same input. Another reason to reject an inplace optimization is
if it would introduce a cycle into the graph.
if it would introduce a cycle into the graph.
To allow using DebugMode more often, we can pre-check that our optimization will
The problem with DebugMode is that it will trigger a useless error when
get rejected in many cases (not the cycle reason). For this you can use the
checking a rejected inplace optimization, since it will lead to wrong results.
``theano.gof.destroyhandler.fast_inplace_check()`` function that will tell you which
In order to be able to use DebugMode in more situations, your inplace
Op can be performed inplace.
optimization can pre-check whether it will get rejected by using the
``theano.gof.destroyhandler.fast_inplace_check()`` function, that will tell
which Ops can be performed inplace. You may then skip the optimization if it is
incompatible with this check. Note however that this check does not cover all
cases where an optimization may be rejected (it will not detect cycles).
.. _optdb:
.. _optdb:
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