From d8d19ff3668151b43e1414e755a74c987555b4ff Mon Sep 17 00:00:00 2001
From: Willem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl>
Date: Tue, 7 Feb 2017 17:58:49 +0100
Subject: Add pygpu sample script

---
 samples/python/s021_pygpu.py | 72 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 72 insertions(+)
 create mode 100644 samples/python/s021_pygpu.py

(limited to 'samples')

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)
-- 
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