That is precisely what I don't understand. In your example we are
neglecting to give the function all of its inputs and the error message:
MissingInputError: ('An input of the graph, used to compute
Elemwise{add,no_inplace}(x, y), was not provided and not given a value', y)
is saying that we have forgotten the y input. In the test case I am doing,
which yields the message:
MissingInputError: ('An input of the graph, used to compute
TheanoInterpWrapOp.theanointerp(y), was not provided and not given a
value', y)
Though the message is practically identical, when running the test case
with my verbose print statements, the following is printed before being
passed to the Op pulled from the TheanoPrinter.cache
children: [y]
child types: [<class 'theano.tensor.basic.TensorVariable'>]
followed by the return line:
self.cache[newkey](*children)
where self.cache[newkey] is the theano op. Doesn't this mean that the
theano variable y is being passed to the theano Op or does this y not carry
a value? Instead of passing the theano variable y to the op, should I be
passing it to a theano.function of the Op?
Cheers,
Guy
On Thursday, August 22, 2013 6:01:17 PM UTC-4, Matthew wrote:
>
> Here is a printout of the error message:
>
> MissingInputError: ('An input of the graph, used to compute
> TheanoInterpWrapOp.theanointerp(y), was not provided and not given a
> value', y)
>
> What this says is that some nodes in your graph
> (TheanoInterpWrapOp.theanointerp(y),) weren't given access to all of the
> inputs that they needed. This would happen in Theano if, for example,
>
> x = theano.tensor.vector('x')
> y = theano.tensor.vector('y')
> z = x + y
> f = theano.function([x], [z])
>
> Notice that we're only giving function x and asking it to compute z. This
> code will produce a similar error to what you're receiving.
>
>
> On Thu, Aug 22, 2013 at 4:58 PM, Guy Parsey <guy.p...@gmail.com<javascript:>
> > wrote:
>
>> Correction (independent of testing the theano op), 's' is a simple
>> wrapper to the spline function, it is not the sympy wrapper. the sympy
>> wrapper is K and can be evaluated as
>> In [17]: K._imp_(4.0)
>> Out[17]: array(16.0)
>>
>> On Thursday, August 22, 2013 5:44:35 PM UTC-4, Guy Parsey wrote:
>>>
>>> Hey Matt,
>>> I am pretty sure that I have tested the theano Op separately from Sympy,
>>> but again, I am probably missing something silly.
>>> After running the test cases, or evaluating
>>> k = TestInterpOp()
>>> k.CreateSuite()
>>> from the SymPy_Theano_KGM_indep.py file, one can run the following lines
>>>
>>> In [2]: s,K,Kp = k.SymInterp()
>>>
>>> In [3]: op = k.TheanoInterpOp()
>>>
>>> In [4]: x = theano.tensor.dvector()
>>>
>>> In [5]: f = theano.function([x],op(x))
>>>
>>> In [6]: s(4.0)
>>> Out[6]: array(16.0)
>>>
>>> In [7]: f([4.0])
>>> Out[7]: array([ 16.])
>>>
>>> where 's' is the sympy wrapped spline function (undefined function) and
>>> 'f' is the theano.function of the theano op created around the spline.
>>> Is this what you mean?
>>> Cheers,
>>> Guy
>>>
>>> On Thursday, August 22, 2013 5:18:49 PM UTC-4, Matthew wrote:
>>>>
>>>> Have you tested your interpolation op in isolation from SymPy?
>>>>
>>>> A quick glance at the error (quick glance means I can easily be wrong)
>>>> leads me to think that this particular issue is localized within the
>>>> domain
>>>> of Theano. If this is the case then I recommend asking about your spline
>>>> op on the thean...@googlegroups.com mailing list.
>>>>
>>>>
>>>> On Thu, Aug 22, 2013 at 3:59 PM, Guy Parsey <guy.p...@gmail.com> wrote:
>>>>
>>>>> Hello again everyone,
>>>>> I thought I understood everything I needed to implement a theano Op
>>>>> wrapping a scipy spline function through theanocode, but have been
>>>>> promptly
>>>>> proven wrong (and was on a small family vacation).
>>>>> Firstly, many thanks for the modifications done to theanocode to allow
>>>>> for Piecewise and Undefined functions. I feel as though everything is in
>>>>> place for me to solve my problem, but I am still either lacking or
>>>>> mis-undertsanding something with regards to mapping a custom theano Op
>>>>> through the theanocode.theano_function.
>>>>>
>>>>>>
>>>>> I have created a quick test case to show what I have understood to
>>>>> date which in my mind should have all the pieces necessary to function
>>>>> correctly. I have made a small git repository on GitHub in order to share
>>>>> this example and because I became fed up trying to figure out how to
>>>>> publicly share a BitBucket repository (academic license-where I am
>>>>> hosting
>>>>> my thesis project-which will be made public once functioning correctly).
>>>>> https://github.com/gparsey/**KGMindep_SympyTheanoOp<https://github.com/gparsey/KGMindep_SympyTheanoOp>
>>>>>
>>>>> Running:
>>>>> >>> ipython SymPy_Theano_KGM_indep.py
>>>>> Evaluates three test cases: f0) simple arithmetic operation, f1) sympy
>>>>> piecewise into theano and f2) sympy undefined function wrapped spline
>>>>> into
>>>>> theano using a custom theano Op
>>>>> Third test case crashes with:
>>>>> <<<MissingInputError: ('An input of the graph, used to compute
>>>>> TheanoInterpWrapOp.**theanointerp(y), was not provided and not given
>>>>> a value', y)
>>>>>
>>>>> I apologize in advance for: the verbosity of the test cases (trying to
>>>>> figure out what is happening within theanocode) using loc_theanocode
>>>>> (modified sympy.printing.theanocode), the novice nature of my code and
>>>>> whether I included correct references to the SymPy community. I am pretty
>>>>> sure that I am either missing something crucial or doing something silly.
>>>>> Any and all help/comments would be greatly appreciated.
>>>>> Cheers,
>>>>> Guy
>>>>>
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>>>>
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