Comments (3)
To generalize interpolate to nx, ny
matrix :
- change nx -> ny in
interpolate_core
because of the row-wise computation ofbase
- to call
interpolate_h
andinterpolate_d
with the correctny
, we must addny
to the inputs of all the functions that take thedata
matrix, e.g.galario_sample
etc.
I have already tried to implement 1. just to run test_galario
and it seems to work fine. This must be propagated with 2.
from galario.
I rewrote interpolate_core
to be more readable and added the matching equations. I also maded it work for our data format. Interesting that only ny
, not nx
is needed as an argument. I guess the row index is implicit in indu
. To really make it work for a nonsquare matrix. indv
has to use a dv
such that dv != du
is allowed. Currently it's not possible.
But with these fixes, the tests don't pass anymore
from galario.
I fixed this in 039b42f.
from galario.
Related Issues (20)
- Add link to paper citations HOT 2
- Coordinate mesh grid
- Update Copyright statement for 2020
- AttributeError: 'function' object has no attribute 'called' HOT 5
- Initial guess for the parameters HOT 1
- galario.c still in source
- travis tests are not reported anymore... HOT 1
- Docs deploy is broken HOT 3
- Perform tests for Python 3.8
- Move to GitHub Actions HOT 2
- Fix numpy warnings
- Move docs to readthedocs
- Update 2020->2021 in Copyright notices
- Trouble building galario for GPU use HOT 7
- Test building GPU version on CUDA 11
- Scaling with CUDA cores and changing GPUs
- Move uvtable.txt to a permanent repository HOT 4
- dxy returned by get_image_size is radians - Fix typo in docs HOT 1
- origin at chi2Image HOT 1
- unrecognized argument when running ctest
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