Theano looks great, thanks for pointing me to it, I'll definitely have to 
look into it.


On Saturday, February 8, 2014 1:58:17 AM UTC-6, Matthew wrote:
>
> You might be interested in Theano and in the SymPy->Theano printers.
>
>
> On Fri, Feb 7, 2014 at 6:18 PM, Vlad Seghete <[email protected]<javascript:>
> > wrote:
>
>> Last time I checked what I want to do was not possible using sympy but 
>> several versions have come out since then, adding a few features that I 
>> just can't get to work.
>>
>> First, what I am already doing is generating numpy arrays containing 
>> (large) sympy expressions in each element. Currently I am evaluating these 
>> homemade tensor expressions by iterating over the ndarray and using eval() 
>> for each expression and to get a numeric version. This is very slow, for 
>> obvious reasons. I would like to generate C code that evaluates these large 
>> expressions for me. In theory, I could have a python script generate a C 
>> file that contains one function for each element of my ndarray and then 
>> another, handwritten C file that calls each of these functions in a loop 
>> and populates and C array for me. However, I happened to be reading this 
>> page here http://docs.sympy.org/latest/modules/utilities/autowrap.htmland 
>> the first example is an autowrap of a tensor operation, so I tried 
>> combining this with the codegen module and it worked like a charm. The 
>> problem is, my expressions require more complicated operations, like taking 
>> the derivative of a tensor with respect to another tensor, and I have no 
>> clue how to use the tensor module for this. Is it even possible, or is code 
>> generation for tensors limited to Einstein summation for now?
>>  
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>

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