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-rw-r--r--lid_driven_cavity/opencl/common.py36
1 files changed, 36 insertions, 0 deletions
diff --git a/lid_driven_cavity/opencl/common.py b/lid_driven_cavity/opencl/common.py
new file mode 100644
index 0000000..717c68f
--- /dev/null
+++ b/lid_driven_cavity/opencl/common.py
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+import pyopencl as cl
+mf = cl.mem_flags
+
+import numpy
+
+import matplotlib
+matplotlib.use('AGG')
+import matplotlib.pyplot as plt
+
+
+class CellList:
+ def __init__(self, context, queue, float_type, cells):
+ self.cl_cells = cl.Buffer(context, mf.READ_ONLY, size=len(cells) * numpy.uint32(0).nbytes)
+ self.np_cells = numpy.ndarray(shape=(len(cells), 1), dtype=numpy.uint32)
+ self.np_cells[:,0] = cells[:]
+
+ cl.enqueue_copy(queue, self.cl_cells, self.np_cells).wait();
+
+ def get(self):
+ return self.cl_cells
+
+ def size(self):
+ return (len(self.np_cells), 1, 1)
+
+def generate_moment_plots(lattice, moments):
+ for i, m in enumerate(moments):
+ print("Generating plot %d of %d." % (i+1, len(moments)))
+
+ gid = lattice.memory.gid
+ velocity = numpy.reshape(
+ [ numpy.sqrt(m[gid(x,y)*3+1]**2 + m[gid(x,y)*3+2]**2) for x, y in lattice.geometry.inner_cells() ],
+ lattice.geometry.inner_size())
+
+ plt.figure(figsize=(10, 10))
+ plt.imshow(velocity, origin='lower', cmap=plt.get_cmap('seismic'))
+ plt.savefig("result/ldc_2d_%02d.png" % i, bbox_inches='tight', pad_inches=0)