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Diffstat (limited to 'samples/python')
-rw-r--r-- | samples/python/s020_3d_multiGPU.py | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/samples/python/s020_3d_multiGPU.py b/samples/python/s020_3d_multiGPU.py new file mode 100644 index 0000000..d6799c4 --- /dev/null +++ b/samples/python/s020_3d_multiGPU.py @@ -0,0 +1,57 @@ +#----------------------------------------------------------------------- +#Copyright 2013 Centrum Wiskunde & Informatica, Amsterdam +# +#Author: Daniel M. Pelt +#Contact: D.M.Pelt@cwi.nl +#Website: http://dmpelt.github.io/pyastratoolbox/ +# +# +#This file is part of the Python interface to the +#All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox"). +# +#The Python interface to the ASTRA Toolbox is free software: you can redistribute it and/or modify +#it under the terms of the GNU General Public License as published by +#the Free Software Foundation, either version 3 of the License, or +#(at your option) any later version. +# +#The Python interface to the ASTRA Toolbox is distributed in the hope that it will be useful, +#but WITHOUT ANY WARRANTY; without even the implied warranty of +#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +#GNU General Public License for more details. +# +#You should have received a copy of the GNU General Public License +#along with the Python interface to the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>. +# +#----------------------------------------------------------------------- + +import astra +import numpy as np + +# Set up multi-GPU usage. +# This only works for 3D GPU forward projection and back projection. +astra.astra.set_gpu_index([0,1]) + +# Optionally, you can also restrict the amount of GPU memory ASTRA will use. +# The line commented below sets this to 1GB. +#astra.astra.set_gpu_index([0,1], memory=1024*1024*1024) + +vol_geom = astra.create_vol_geom(1024, 1024, 1024) + +angles = np.linspace(0, np.pi, 1024,False) +proj_geom = astra.create_proj_geom('parallel3d', 1.0, 1.0, 1024, 1024, angles) + +# Create a simple hollow cube phantom +cube = np.zeros((1024,1024,1024)) +cube[128:895,128:895,128:895] = 1 +cube[256:767,256:767,256:767] = 0 + +# Create projection data from this +proj_id, proj_data = astra.create_sino3d_gpu(cube, proj_geom, vol_geom) + +# Backproject projection data +bproj_id, bproj_data = astra.create_backprojection3d_gpu(proj_data, proj_geom, vol_geom) + +# Clean up. Note that GPU memory is tied up in the algorithm object, +# and main RAM in the data objects. +astra.data3d.delete(proj_id) +astra.data3d.delete(bproj_id) |