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pytensor
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ec86d561
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ec86d561
authored
1月 08, 2010
作者:
James Bergstra
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added todos to advanced tutorial on optimization, which isnt really ok yet
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optimization.txt
doc/advanced_tutorial/optimization.txt
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doc/advanced_tutorial/optimization.txt
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ec86d561
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@@ -7,6 +7,19 @@ Graph optimization
In this section we will define a couple optimizations on doubles.
.. todo::
This tutorial goes way too far under the hood, for someone who just wants
to add yet another pattern to the libraries in tensor.opt for example.
We need another tutorial that covers the decorator syntax, and explains how
to register your optimization right away. That's what you need to get
going.
Later, the rest is more useful for when that decorator syntax type thing
doesn't work. (There are optimizations that don't fit that model).
Global and local optimizations
==============================
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@@ -119,6 +132,11 @@ simplification described above:
simplify = Simplify()
.. todo::
What is add_requirements? Why would we know to do this? Are there other
requirements we might want to know about?
Here's how it works: first, in ``add_requirements``, we add the
``ReplaceValidate`` :ref:`envfeature` located in
:api:`theano.gof.toolbox`. This feature adds the ``replace_validate``
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@@ -150,6 +168,7 @@ and :ref:`apply` to get a better understanding of the
pointer-following game you need to get ahold of the nodes of interest
for the simplification (``x``, ``y``, ``z``, ``a``, ``b``, etc.).
Test time:
>>> x = double('x')
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@@ -238,6 +257,10 @@ The local version of the above code would be the following:
local_simplify = LocalSimplify()
.. todo::
Fix up previous example... it's bad and incomplete.
The definition of transform is the inner loop of the global optimizer,
where the node is given as argument. If no changes are to be made,
``False`` must be returned. Else, a list of what to replace the node's
...
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@@ -310,6 +333,9 @@ Theano defines some shortcuts to make LocalOptimizers:
means that everything we said previously about local optimizers
apply: they need to be wrapped in a Navigator, etc.
.. todo::
wtf is a navigator?
When an optimization can be naturally expressed using ``OpSub``, ``OpRemove``
or ``PatternSub``, it is highly recommended to use them.
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@@ -319,6 +345,7 @@ use constraints, etc. - there's some decent doc at
:api:`theano.gof.opt.PatternSub` for those interested)
.. _optdb:
The optimization database (optdb)
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