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author | Willem Jan Palenstijn <wjp@usecode.org> | 2017-02-09 18:01:03 +0100 |
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committer | GitHub <noreply@github.com> | 2017-02-09 18:01:03 +0100 |
commit | 981d6adc0e3c98a67403b92b1ec4cdb881c62fda (patch) | |
tree | cccde0fd4a3a2d92919338df4e162c9abfd079e1 /samples | |
parent | 03c3e5b5043cc8cba9aceeb8641d497edd1be7cf (diff) | |
parent | 4c665b0d5af3841f20501a5dc01a23e671367856 (diff) | |
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Merge pull request #93 from wjp/GPULink
GPULink support
Diffstat (limited to 'samples')
-rw-r--r-- | samples/python/s021_pygpu.py | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/samples/python/s021_pygpu.py b/samples/python/s021_pygpu.py new file mode 100644 index 0000000..db6584b --- /dev/null +++ b/samples/python/s021_pygpu.py @@ -0,0 +1,72 @@ +# ----------------------------------------------------------------------- +# Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp +# 2013-2016, CWI, Amsterdam +# +# Contact: astra@uantwerpen.be +# Website: http://www.astra-toolbox.com/ +# +# This file is part of the ASTRA Toolbox. +# +# +# 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 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 ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>. +# +# ----------------------------------------------------------------------- + +import astra +import numpy as np +import pygpu +import pylab + +# Initialize pygpu +ctx = pygpu.init('cuda') +pygpu.set_default_context(ctx) + +vol_geom = astra.create_vol_geom(128, 128, 128) +angles = np.linspace(0, 2 * np.pi, 180, False) +proj_geom = astra.create_proj_geom('cone', 1.0, 1.0, 128, 192, angles, 1000, 0) + +# Create a simple hollow cube phantom, as a pygpu gpuarray +vol_gpuarr = pygpu.gpuarray.zeros(astra.functions.geom_size(vol_geom), dtype='float32') +vol_gpuarr[17:113, 17:113, 17:113] = 1 +vol_gpuarr[33:97, 33:97, 33:97] = 0 + +# Create a pygpu gpuarray for the output projection data +proj_gpuarr = pygpu.gpuarray.zeros(astra.functions.geom_size(proj_geom), dtype='float32') + +# Create the astra GPULink objects and create astra data3d objects from them +z, y, x = proj_gpuarr.shape +proj_data_link = astra.data3d.GPULink(proj_gpuarr.gpudata, x, y, z, + proj_gpuarr.strides[-2]) +z, y, x = vol_gpuarr.shape +vol_link = astra.data3d.GPULink(vol_gpuarr.gpudata, x, y, z, + vol_gpuarr.strides[-2]) + +proj_id = astra.data3d.link('-sino', proj_geom, proj_data_link) +vol_id = astra.data3d.link('-vol', vol_geom, vol_link) + +# Run a 3D FP +cfg = astra.astra_dict('FP3D_CUDA') +cfg['VolumeDataId'] = vol_id +cfg['ProjectionDataId'] = proj_id +alg_id = astra.algorithm.create(cfg) +astra.algorithm.run(alg_id) + +pylab.figure(1) +pylab.gray() +pylab.imshow(proj_gpuarr[:, 20, :]) +pylab.show() + +astra.algorithm.delete(alg_id) +astra.data3d.delete(vol_id) +astra.data3d.delete(proj_id) |