[Numpy-discussion] question about optimizing

Brian Blais bblais@bryant....
Sat May 17 13:22:02 CDT 2008


On May 17, 2008, at May 17:11:52 AM, Alan G Isaac wrote:

> On Fri, 16 May 2008, Anne Archibald apparently wrote:
>> storing actual python objects in an array is probably not
>> a good idea
>
> I have been wondering what people use object arrays for.
> I have been guessing that it is for indexing convenience?

at least for me, that was the motivation.  I am trying to build a  
simulation framework for part of the brain, which requires connected  
layers of nodes.  A layer is either a 1D or 2D structure of nodes,  
with each node a relatively complex beast.  Rather than reinvent the  
indexing (1D, 2D, slicing, etc...), I just inherited from ndarray.  I  
thought, after the fact, that some numpy functions on arrays would  
help speed up the code, which consists mostly of calling an update  
function on all nodes, passing each them an input vector.  I wasn't  
sure if there would be any speed up for this, compared to

for n in self.flat:
    n.update(input_vector)

 From the response, the answer seems to be no, and that I should  
stick with the python loops for clarity.  But also, the words of Anne  
Archibald, makes me think that I have made a bad choice by inheriting  
from ndarray, although I am not sure what a convenient alternative  
would be.



		bb


-- 
Brian Blais
bblais@bryant.edu
http://web.bryant.edu/~bblais



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