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pytensor
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8b9f9cf7
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8b9f9cf7
authored
12月 05, 2012
作者:
abalkin
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A few typos/grammar fixes.
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inplace.txt
doc/extending/inplace.txt
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doc/extending/inplace.txt
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8b9f9cf7
...
@@ -6,7 +6,7 @@ Views and inplace operations
...
@@ -6,7 +6,7 @@ Views and inplace operations
============================
============================
Theano allows the definition of Ops which return a :term:`view` on one
Theano allows the definition of Ops which return a :term:`view` on one
of their inputs or operate
s
:term:`inplace` on one or several
of their inputs or operate :term:`inplace` on one or several
inputs. This allows more efficient operations on numpy's ``ndarray``
inputs. This allows more efficient operations on numpy's ``ndarray``
data type than would be possible otherwise.
data type than would be possible otherwise.
However, in order to work correctly, these Ops need to
However, in order to work correctly, these Ops need to
...
@@ -201,17 +201,17 @@ input(s)'s memory). From there, go to the previous section.
...
@@ -201,17 +201,17 @@ input(s)'s memory). From there, go to the previous section.
Inplace optimization and DebugMode
Inplace optimization and DebugMode
==================================
==================================
It is recommended that during the graph construction, all
op
are not inplace.
It is recommended that during the graph construction, all
Ops
are not inplace.
Then an optimization replace them with
an inplace one. Currently DebugMode check
Then an optimization replace them with
inplace ones. Currently DebugMode checks
all optimization
that was try
ed even if they got rejected. One reason an inplace
all optimization
s that can be tri
ed even if they got rejected. One reason an inplace
optimization can get rejected is that the
ir is another op that already do an
optimization can get rejected is that the
re is another Op that already performed
inplace on the same input. A
second
reason to reject an inplace optimization is
inplace on the same input. A
nother
reason to reject an inplace optimization is
if it
introduce
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
To allow using DebugMode more often, we can pre-check that our optimization will
get rejected in many case
.
(not the cycle reason). For this you can use the
get rejected in many case
s
(not the cycle reason). For this you can use the
theano.gof.destroyhandler.fast_inplace_check()
function that will tell you which
``theano.gof.destroyhandler.fast_inplace_check()``
function that will tell you which
op can be used
.
Op can be performed inplace
.
.. _optdb:
.. _optdb:
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