Re: [eigen] HDF5 persistence for EIGEN3

[Steven Varga <steven.varga@xxxxxxxxx>]

Abhijit,

Thank you so much!

with your help it was super quick to implement. Do you know if Eigen3 supports cubes ( 3d objects ) similarly to armadillo?  I didn't see it in the documentation. 

best,

steven

On Sun, Feb 25, 2018 at 12:06 PM, Abhijit Kundu <abhijit.dgp@xxxxxxxxx> wrote:

Have a look at https://github.com/garrison/eigen3-hdf5 I used it before and works great.

1) my_matrix.data()
2) rows = my_matrix.rows(); cols = my_matrix.cols()
3) Eigen supports practically any Scalar See https://eigen.tuxfamily.org/dox/TopicCustomizing_CustomScalar.html

4) creating objects from external pointers without copying -- Yes see https://eigen.tuxfamily.org/dox/group__TutorialMapClass.html

On Sun, Feb 25, 2018 at 11:43 AM, Steven Varga <steven.varga@xxxxxxxxx> wrote:

Greetings,

H5CPP is a general purpose template-only data-store mechanism for scientist using LinearAlgebra packages such as EIGEN3, is backed by the HDF5Group.
In order to incorporate EIGEN3 I would like to know the best way to extract the following:

1) read/write pointer to data stored in memory:     ie. my_matrix.data()
2) dimensions of the object ie:  rows = my_matrix..nrows(); cols = my_matrix.ncols()
3) list of templates for DENSE types:  Matrix<T>( ... params .. ) 

4) creating objects from external pointers without copying -- if supported

At this stage only DENSE storage is considered, leaving sparse and special structures to be implemented in a different phase.

The MIT licensed project may be found here: http://h5cpp.ca and here:  https://github.com/steven-varga/h5cpp
thank you for your responses/suggestions in advance!
steve