|Re: [eigen] Using Eigen::Map to use eigen operations on my data|
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- To: eigen@xxxxxxxxxxxxxxxxxxx
- Subject: Re: [eigen] Using Eigen::Map to use eigen operations on my data
- From: Benoit Jacob <jacob.benoit.1@xxxxxxxxx>
- Date: Thu, 29 Oct 2009 18:21:02 -0400
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2009/10/29 Robert Lupton the Good <rhl@xxxxxxxxxxxxxxxxxxx>:
> I guess I boiled this down too far (boiled it dry?).
> I'm writing some swig bindings to pass numpy arrays to code that uses Eigen.
> I can unpack the data from the numpy arrays, so I have a (float *data, int
> nx, int ny) tuple. I'd like to pass that to my routines that expect
> After Benoit's explanation, it looks as if I need to redo my interface to
> expect Map<MatrixXf> or (to preserve the option of passing MatrixXf)
> template them over the argument type --- for type safety, Benoit proposes
> using MatrixBase<T>.
> Fine, I can do that --- although the details of the swig typedefs will be
> nasty as templates must be explicitly expanded. I can work on that.
If you need only MatrixXf and Map<MatrixXf>, you could code these as 2
separate functions and do without templates. (They could internally
call a common template function that would be an implementation
> I still think that the manual entry is confusing --- it maps an array and
> then assigns it to a Matrix2f but all the mapping is doing is initialising
> the memory.
Indeed. I'll try to remember to clarify that.