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% TESTING SCRIPT for ASTRA wrappers
% This script will run some basic features in the ASTRA wrapper code
% ie reconstruciton , splitting on GPU, splitting between multiple workers
% compare results with expected values to detect inconsistencies
% recompile commands
% (Linux, GCC 4.8.5) mexcuda -outdir private ASTRA_GPU_wrapper/ASTRA_GPU_wrapper.cu ASTRA_GPU_wrapper/util3d.cu ASTRA_GPU_wrapper/par3d_fp.cu ASTRA_GPU_wrapper/par3d_bp.cu
% (Windows) mexcuda -outdir private ASTRA_GPU_wrapper\ASTRA_GPU_wrapper.cu ASTRA_GPU_wrapper\util3d.cu ASTRA_GPU_wrapper\par3d_fp.cu ASTRA_GPU_wrapper\par3d_bp.cu
cd(fullfile( fileparts(mfilename('fullpath')), '..'))
addpath('tests')
addpath('utils')
addpath('./')
addpath(find_base_package)
utils.verbose(0)
utils.verbose(0,'Creating data for ASTRA wrapper tests')
if ~exist('GPU_id', 'var'); GPU_id = [1]; end
gpuDevice(GPU_id);
% volume settings
Npix_vol = [300, 300, 200] ;
Nangles = 400;
Npix_proj = [400, 400];
% create "data"
angles = linspace(0, 180, Nangles);
lamino_angle = 60; % 90 deg is normal tomo
tilt_angle = 10; % rotation in plane of the projection
CoR_offset = [20,10]; % offset of the center of rotation
pixel_scale = [1,1] ; % relative scale of the pixels
volData = ones(Npix_vol, 'single');
% generate geometry
[cfg, vectors] = astra.ASTRA_initialize(Npix_vol, Npix_proj, angles, lamino_angle, tilt_angle, pixel_scale,Npix_proj/2+CoR_offset);
% find optimal split, for small volumes below 600^3 no split is needed
split = astra.ASTRA_find_optimal_split(cfg);
% generate projections
projData = astra.Ax_partial(volData, cfg, vectors, split);
% plot the projections
figure
plotting.imagesc3D(projData, 'init_frame', 50); axis off image; colormap bone
title('Volume projection')
drawnow
% do backprojection projections !!! not FBP !!!
backprojData = astra.Atx_partial(projData, cfg, vectors, split);
utils.verbose(0,'Simple ASTRA wrapper tested')
%% =============== tests simple "on GPU" splitting ============
split = [2,2,2,2];
% generate projections
projData_split = astra.Ax_partial(volData, cfg, vectors, split);
err = norm(projData(:) - projData_split(:)) / norm(projData(:));
% plotting.imagesc3D(projData - projData_split); colorbar; axis off image; colormap bone
assert(err < 1e-5, "Splitted projections solver is not fully consistent with the unsplitted one")
% do backprojection projections !!! not FBP !!!
backprojData_split = astra.Atx_partial(projData, cfg, vectors, split);
err = norm(backprojData(:) - backprojData_split(:)) / norm(backprojData(:));
assert(err < 1e-6, "Splitted backprojections solver is not fully consistent with the unsplitted one")
utils.verbose(0,'On GPU splitting tested')
%% =============== tests additional splitting for tomography ============
split = [2,2,2,1];
projData_split = tomo.Ax_sup_partial(volData, cfg, vectors, split);
err = norm(projData(:) - projData_split(:)) / norm(projData(:));
if err > 1e-5
figure
plotting.imagesc3D(projData - projData_split); colorbar; axis off image; colormap bone
title('Projection data difference')
drawnow
end
if err > 1e-3
error("Sup-splitted projections solver is not fully consistent with the unsplitted one")
elseif err > 1e-5
warning("Sup-splitted projections solver is not fully consistent with the unsplitted one, most likely only subpixel errors are present")
end
backprojData_split = tomo.Atx_sup_partial(projData, cfg, vectors, split);
err = norm(backprojData(:) - backprojData_split(:)) / norm(backprojData(:));
if err > 1e-5
figure
plotting.imagesc_tomo(backprojData - backprojData_split); colorbar; axis off image; colormap bone
title('Backprojection data difference')
drawnow
end
if err > 1e-3
error("Sup-splitted backprojections solver is not fully consistent with the unsplitted one")
elseif err > 1e-5
warning("Sup-splitted backprojections solver is not fully consistent with the unsplitted one, most likely only subpixel errors are present")
end
utils.verbose(0,'Extra splitting tested')
%% =============== tests multiGPU solvers ============
utils.verbose(0,'Testing multiGPU solver')
c = parcluster('local');
if exist('local_cluster_jobs', 'dir')
rmdir('local_cluster_jobs', 's') % delete folder with jobs (prevent accumulation )
end
mkdir('local_cluster_jobs') % recreate the folder
c.JobStorageLocation = ['local_cluster_jobs'];
GPU = [1:gpuDeviceCount];
split = [2,2,2,2];
projData_split = tomo.Ax_sup_partial(volData, cfg, vectors, split, 'GPU', GPU);
err = norm(projData(:) - projData_split(:)) / norm(projData(:));
% plotting.imagesc3D(projData - projData_split); colorbar; axis off image; colormap bone
assert(err < 1e-5, "Sup-splitted projections solver is not fully consistent with the unsplitted one")
backprojData_split = tomo.Atx_sup_partial(projData, cfg, vectors, split, 'GPU', GPU);
err = norm(backprojData(:) - backprojData_split(:)) / norm(backprojData(:));
assert(err < 1e-6, "Sup-splitted backprojections solver is not fully consistent with the unsplitted one")
utils.verbose(0,'Multi GPU solver tested')
rmdir('local_cluster_jobs', 's') % delete folder with jobs (prevent accumulation )
utils.verbose(0,'==== All ASTRA wrapper tests passed ===== ')
%*-----------------------------------------------------------------------*
%|                                                                       |
%|  Except where otherwise noted, this work is licensed under a          |
%|  Creative Commons Attribution-NonCommercial-ShareAlike 4.0            |
%|  International (CC BY-NC-SA 4.0) license.                             |
%|                                                                       |
%|  Copyright (c) 2018 by Paul Scherrer Institute (http://www.psi.ch)    |
%|                                                                       |
%|      Author: CXS group, PSI  |
%*-----------------------------------------------------------------------*
% You may use this code with the following provisions:
%
% If the code is fully or partially redistributed, or rewritten in another
% computing language this notice should be included in the redistribution.
%
% If this code, or subfunctions or parts of it, is used for research in a
% publication or if it is fully or partially rewritten for another
% computing language the authors and institution should be acknowledged
% in written form in the publication: Data processing was carried out
% using the cSAXS matlab package developed by the CXS group,
% Paul Scherrer Institut, Switzerland.
% Variations on the latter text can be incorporated upon discussion with
% the CXS group if needed to more specifically reflect the use of the package
% for the published work.
%
% A publication that focuses on describing features, or parameters, that
% are already existing in the code should be first discussed with the
% authors.
%
% This code and subroutines are part of a continuous development, they
% are provided as they are without guarantees or liability on part
% of PSI or the authors. It is the user responsibility to ensure its
% proper use and the correctness of the results.