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authorAdrian Kummerlaender2019-11-12 22:59:21 +0100
committerAdrian Kummerlaender2019-11-12 22:59:21 +0100
commit8c1f317010eeba28b3d4ae3ef158b1e760997ed1 (patch)
treef2aa1e5e2128bfdd108c51c02efa6c7a3be83e87
parent2dba6db0c94ccb260f3e9345b25146ce75ccea9a (diff)
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Share Lattice implementation between plain and interop OpenCL example
-rw-r--r--lid_driven_cavity/opencl/AA.py28
-rw-r--r--lid_driven_cavity/opencl/AB.py34
-rw-r--r--lid_driven_cavity/opencl/ldc_2d.py42
-rw-r--r--lid_driven_cavity/opencl_gl_interop/AA.py99
-rw-r--r--lid_driven_cavity/opencl_gl_interop/AB.py102
l---------lid_driven_cavity/opencl_gl_interop/lattice/AA.py1
l---------lid_driven_cavity/opencl_gl_interop/lattice/AB.py1
-rw-r--r--lid_driven_cavity/opencl_gl_interop/ldc_2d.py35
8 files changed, 61 insertions, 281 deletions
diff --git a/lid_driven_cavity/opencl/AA.py b/lid_driven_cavity/opencl/AA.py
index 74979c5..7ea3417 100644
--- a/lid_driven_cavity/opencl/AA.py
+++ b/lid_driven_cavity/opencl/AA.py
@@ -24,7 +24,7 @@ class Memory:
return z * (self.size_x*self.size_y) + y * self.size_x + x;
class Lattice:
- def __init__(self, geometry, kernel_src, descriptor, platform = 0, precision = 'single'):
+ def __init__(self, geometry, kernel_src, descriptor, context, queue, precision = 'single'):
self.geometry = geometry
self.descriptor = descriptor
@@ -33,13 +33,10 @@ class Lattice:
'double': (numpy.float64, 'double'),
}.get(precision, None)
- self.platform = cl.get_platforms()[platform]
self.layout = None
- self.context = cl.Context(
- properties=[(cl.context_properties.PLATFORM, self.platform)])
-
- self.queue = cl.CommandQueue(self.context)
+ self.context = context
+ self.queue = queue
self.memory = Memory(descriptor, self.geometry, self.context, self.float_type[0])
self.tick = False
@@ -51,7 +48,7 @@ class Lattice:
self.build_kernel(kernel_src)
- self.program.equilibrilize_all(
+ self.program.equilibrilize_domain_tick(
self.queue, self.geometry.size(), self.layout, self.memory.cl_pop).wait()
self.tick_tasks = []
@@ -82,24 +79,9 @@ class Lattice:
def get_moments(self):
moments = numpy.ndarray(shape=(self.memory.volume*(self.descriptor.d+1),1), dtype=self.float_type[0])
- self.program.collect_moments_all(
+ self.program.collect_moments_domain_tock(
self.queue, self.geometry.inner_size(), self.layout, self.memory.cl_pop, self.memory.cl_moments)
cl.enqueue_copy(self.queue, moments, self.memory.cl_moments).wait();
return moments
-
-HelperTemplate = """
-__kernel void equilibrilize_all(__global ${float_type}* f_next)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- equilibrilize_tick(f_next, gid);
-}
-
-__kernel void collect_moments_all(__global ${float_type}* f,
- __global ${float_type}* moments)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)+1', 'get_global_id(1)+1')};
- collect_moments_tock(f, gid, moments);
-}
-"""
diff --git a/lid_driven_cavity/opencl/AB.py b/lid_driven_cavity/opencl/AB.py
index 7cbf1c6..797bc83 100644
--- a/lid_driven_cavity/opencl/AB.py
+++ b/lid_driven_cavity/opencl/AB.py
@@ -25,7 +25,7 @@ class Memory:
return z * (self.size_x*self.size_y) + y * self.size_x + x;
class Lattice:
- def __init__(self, geometry, kernel_src, descriptor, platform = 0, precision = 'single'):
+ def __init__(self, geometry, kernel_src, descriptor, context, queue, precision = 'single'):
self.geometry = geometry
self.descriptor = descriptor
@@ -34,13 +34,10 @@ class Lattice:
'double': (numpy.float64, 'double'),
}.get(precision, None)
- self.platform = cl.get_platforms()[platform]
self.layout = None
- self.context = cl.Context(
- properties=[(cl.context_properties.PLATFORM, self.platform)])
-
- self.queue = cl.CommandQueue(self.context)
+ self.context = context
+ self.queue = queue
self.memory = Memory(descriptor, self.geometry, self.context, self.float_type[0])
self.tick = False
@@ -52,8 +49,10 @@ class Lattice:
self.build_kernel(kernel_src)
- self.program.equilibrilize_all(
+ self.program.equilibrilize_domain(
self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b).wait()
+ self.program.equilibrilize_domain(
+ self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_pop_a).wait()
self.tasks = []
@@ -80,29 +79,12 @@ class Lattice:
moments = numpy.ndarray(shape=(self.memory.volume*(self.descriptor.d+1),1), dtype=self.float_type[0])
if self.tick:
- self.program.collect_moments_all(
+ self.program.collect_moments_domain(
self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_moments)
else:
- self.program.collect_moments_all(
+ self.program.collect_moments_domain(
self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_moments)
cl.enqueue_copy(self.queue, moments, self.memory.cl_moments).wait();
return moments
-
-HelperTemplate = """
-__kernel void equilibrilize_all(__global ${float_type}* f_next,
- __global ${float_type}* f_prev)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- equilibrilize(f_next, f_prev, gid);
- equilibrilize(f_prev, f_next, gid);
-}
-
-__kernel void collect_moments_all(__global ${float_type}* f,
- __global ${float_type}* moments)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- collect_moments(f, gid, moments);
-}
-"""
diff --git a/lid_driven_cavity/opencl/ldc_2d.py b/lid_driven_cavity/opencl/ldc_2d.py
index 7380aa9..1ea80aa 100644
--- a/lid_driven_cavity/opencl/ldc_2d.py
+++ b/lid_driven_cavity/opencl/ldc_2d.py
@@ -1,16 +1,18 @@
import numpy
import time
+import pyopencl as cl
+
from boltzgen import Generator, Geometry
from boltzgen.lbm.lattice import D2Q9
from boltzgen.lbm.model import BGK
from common import CellList, generate_moment_plots
-nUpdates = 100000
-nStat = 10000
+nUpdates = 20000
+nStat = 1000
-geometry = Geometry(256, 256)
+geometry = Geometry(512, 512)
print("Generating kernel using boltzgen...\n")
@@ -24,7 +26,6 @@ import AA
import AB
Lattice = eval('%s.Lattice' % streaming)
-HelperTemplate = eval('%s.HelperTemplate' % streaming)
def MLUPS(cells, steps, time):
return cells * steps / time * 1e-6
@@ -37,12 +38,17 @@ generator = Generator(
index = 'ZYX',
layout = 'SOA')
-kernel_src = generator.kernel(geometry, functions, extras)
-kernel_src += generator.custom(geometry, HelperTemplate)
+kernel_src = generator.kernel(geometry, functions, extras)
+
+print("Constructing OpenCL context...\n")
+
+cl_platform = cl.get_platforms()[0]
+cl_context = cl.Context(properties=[(cl.context_properties.PLATFORM, cl_platform)])
+cl_queue = cl.CommandQueue(cl_context)
print("Initializing simulation...\n")
-lattice = Lattice(geometry, kernel_src, D2Q9, precision = precision)
+lattice = Lattice(geometry, kernel_src, D2Q9, cl_context, cl_queue, precision = precision)
gid = lattice.memory.gid
ghost_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
@@ -55,19 +61,19 @@ lid_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
[ gid(x,y) for x, y in geometry.inner_cells() if y == geometry.size_y-2 ])
if streaming == 'AB':
- lattice.schedule('collide_and_stream_cells', bulk_cells)
- lattice.schedule('velocity_momenta_boundary_cells', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
- lattice.schedule('velocity_momenta_boundary_cells', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule('collide_and_stream', bulk_cells)
+ lattice.schedule('velocity_momenta_boundary', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule('velocity_momenta_boundary', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
elif streaming == 'AA':
- lattice.schedule_tick('collide_and_stream_cells_tick', bulk_cells)
- lattice.schedule_tick('velocity_momenta_boundary_cells_tick', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
- lattice.schedule_tick('velocity_momenta_boundary_cells_tick', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
-
- lattice.schedule_tock('equilibrilize_cells_tick', ghost_cells)
- lattice.schedule_tock('collide_and_stream_cells_tock', bulk_cells)
- lattice.schedule_tock('velocity_momenta_boundary_cells_tock', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
- lattice.schedule_tock('velocity_momenta_boundary_cells_tock', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tick('collide_and_stream_tick', bulk_cells)
+ lattice.schedule_tick('velocity_momenta_boundary_tick', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tick('velocity_momenta_boundary_tick', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+
+ lattice.schedule_tock('equilibrilize_tick', ghost_cells)
+ lattice.schedule_tock('collide_and_stream_tock', bulk_cells)
+ lattice.schedule_tock('velocity_momenta_boundary_tock', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tock('velocity_momenta_boundary_tock', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
print("Starting simulation using %d cells...\n" % lattice.geometry.volume)
diff --git a/lid_driven_cavity/opencl_gl_interop/AA.py b/lid_driven_cavity/opencl_gl_interop/AA.py
index ca9a132..1322856 100644
--- a/lid_driven_cavity/opencl_gl_interop/AA.py
+++ b/lid_driven_cavity/opencl_gl_interop/AA.py
@@ -1,105 +1,8 @@
import pyopencl as cl
-mf = cl.mem_flags
-
-from pyopencl.tools import get_gl_sharing_context_properties
-
-import numpy
from common import MomentsTextureBase
-class Memory:
- def __init__(self, descriptor, geometry, context, float_type):
- self.context = context
- self.float_type = float_type
-
- self.size_x = geometry.size_x
- self.size_y = geometry.size_y
- self.size_z = geometry.size_z
- self.volume = self.size_x * self.size_y * self.size_z
-
- self.pop_size = descriptor.q * self.volume * self.float_type(0).nbytes
- self.moments_size = 3 * self.volume * self.float_type(0).nbytes
-
- self.cl_pop = cl.Buffer(self.context, mf.READ_WRITE, size=self.pop_size)
-
- self.cl_moments = cl.Buffer(self.context, mf.WRITE_ONLY, size=self.moments_size)
-
- def gid(self, x, y, z = 0):
- return z * (self.size_x*self.size_y) + y * self.size_x + x;
-
-class Lattice:
- def __init__(self, geometry, kernel_src, descriptor, platform = 0, precision = 'single'):
- self.geometry = geometry
- self.descriptor = descriptor
-
- self.float_type = {
- 'single': (numpy.float32, 'float'),
- 'double': (numpy.float64, 'double'),
- }.get(precision, None)
-
- self.platform = cl.get_platforms()[platform]
- self.layout = None
-
- self.context = cl.Context(
- properties=[(cl.context_properties.PLATFORM, self.platform)] + get_gl_sharing_context_properties())
-
- self.queue = cl.CommandQueue(self.context)
-
- self.memory = Memory(descriptor, self.geometry, self.context, self.float_type[0])
- self.tick = False
-
- self.compiler_args = {
- 'single': '-cl-single-precision-constant -cl-fast-relaxed-math',
- 'double': '-cl-fast-relaxed-math'
- }.get(precision, None)
-
- self.build_kernel(kernel_src)
-
- self.program.equilibrilize_all(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop).wait()
-
- self.tick_tasks = []
- self.tock_tasks = []
-
- def build_kernel(self, src):
- self.program = cl.Program(self.context, src).build(self.compiler_args)
-
- def schedule_tick(self, f, cells, *params):
- self.tick_tasks += [ (eval("self.program.%s" % f), cells, params) ]
-
- def schedule_tock(self, f, cells, *params):
- self.tock_tasks += [ (eval("self.program.%s" % f), cells, params) ]
-
- def evolve(self):
- if self.tick:
- self.tick = False
- for f, cells, params in self.tick_tasks:
- f(self.queue, cells.size(), self.layout, self.memory.cl_pop, cells.get(), *params)
- else:
- self.tick = True
- for f, cells, params in self.tock_tasks:
- f(self.queue, cells.size(), self.layout, self.memory.cl_pop, cells.get(), *params)
-
- def sync(self):
- self.queue.finish()
-
- def get_moments(self):
- moments = numpy.ndarray(shape=(self.memory.volume*(self.descriptor.d+1),1), dtype=self.float_type[0])
-
- self.program.collect_moments_all(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop, self.memory.cl_moments)
-
- cl.enqueue_copy(self.queue, moments, self.memory.cl_moments).wait();
-
- return moments
-
-HelperTemplate = """
-__kernel void equilibrilize_all(__global ${float_type}* f_next)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- equilibrilize_tick(f_next, gid);
-}
-"""
+from lattice.AA import Lattice
class MomentsTexture(MomentsTextureBase):
pass
diff --git a/lid_driven_cavity/opencl_gl_interop/AB.py b/lid_driven_cavity/opencl_gl_interop/AB.py
index f6b437c..fce10d9 100644
--- a/lid_driven_cavity/opencl_gl_interop/AB.py
+++ b/lid_driven_cavity/opencl_gl_interop/AB.py
@@ -1,108 +1,8 @@
import pyopencl as cl
-mf = cl.mem_flags
-
-from pyopencl.tools import get_gl_sharing_context_properties
-
-import numpy
from common import MomentsTextureBase
-class Memory:
- def __init__(self, descriptor, geometry, context, float_type):
- self.context = context
- self.float_type = float_type
-
- self.size_x = geometry.size_x
- self.size_y = geometry.size_y
- self.size_z = geometry.size_z
- self.volume = self.size_x * self.size_y * self.size_z
-
- self.pop_size = descriptor.q * self.volume * self.float_type(0).nbytes
- self.moments_size = 3 * self.volume * self.float_type(0).nbytes
-
- self.cl_pop_a = cl.Buffer(self.context, mf.READ_WRITE, size=self.pop_size)
- self.cl_pop_b = cl.Buffer(self.context, mf.READ_WRITE, size=self.pop_size)
-
- self.cl_moments = cl.Buffer(self.context, mf.WRITE_ONLY, size=self.moments_size)
-
- def gid(self, x, y, z = 0):
- return z * (self.size_x*self.size_y) + y * self.size_x + x;
-
-class Lattice:
- def __init__(self, geometry, kernel_src, descriptor, platform = 0, precision = 'single'):
- self.geometry = geometry
- self.descriptor = descriptor
-
- self.float_type = {
- 'single': (numpy.float32, 'float'),
- 'double': (numpy.float64, 'double'),
- }.get(precision, None)
-
- self.platform = cl.get_platforms()[platform]
- self.layout = None
-
- self.context = cl.Context(
- properties=[(cl.context_properties.PLATFORM, self.platform)] + get_gl_sharing_context_properties())
-
- self.queue = cl.CommandQueue(self.context)
-
- self.memory = Memory(descriptor, self.geometry, self.context, self.float_type[0])
- self.tick = False
-
- self.compiler_args = {
- 'single': '-cl-single-precision-constant -cl-fast-relaxed-math',
- 'double': '-cl-fast-relaxed-math'
- }.get(precision, None)
-
- self.build_kernel(kernel_src)
-
- self.program.equilibrilize_all(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b).wait()
-
- self.tasks = []
-
- def build_kernel(self, src):
- self.program = cl.Program(self.context, src).build(self.compiler_args)
-
- def schedule(self, f, cells, *params):
- self.tasks += [ (eval("self.program.%s" % f), cells, params) ]
-
- def evolve(self):
- if self.tick:
- self.tick = False
- for f, cells, params in self.tasks:
- f(self.queue, cells.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b, cells.get(), *params)
- else:
- self.tick = True
- for f, cells, params in self.tasks:
- f(self.queue, cells.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_pop_a, cells.get(), *params)
-
- def sync(self):
- self.queue.finish()
-
- def get_moments(self):
- moments = numpy.ndarray(shape=(self.memory.volume*(self.descriptor.d+1),1), dtype=self.float_type[0])
-
- if self.tick:
- self.program.collect_moments_all(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_moments)
- else:
- self.program.collect_moments_all(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_moments)
-
- cl.enqueue_copy(self.queue, moments, self.memory.cl_moments).wait();
-
- return moments
-
-HelperTemplate = """
-__kernel void equilibrilize_all(__global ${float_type}* f_next,
- __global ${float_type}* f_prev)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- equilibrilize(f_next, f_prev, gid);
- equilibrilize(f_prev, f_next, gid);
-}
-"""
+from lattice.AB import Lattice
class MomentsTexture(MomentsTextureBase):
pass
diff --git a/lid_driven_cavity/opencl_gl_interop/lattice/AA.py b/lid_driven_cavity/opencl_gl_interop/lattice/AA.py
new file mode 120000
index 0000000..7ca466f
--- /dev/null
+++ b/lid_driven_cavity/opencl_gl_interop/lattice/AA.py
@@ -0,0 +1 @@
+../../opencl/AA.py \ No newline at end of file
diff --git a/lid_driven_cavity/opencl_gl_interop/lattice/AB.py b/lid_driven_cavity/opencl_gl_interop/lattice/AB.py
new file mode 120000
index 0000000..769b0aa
--- /dev/null
+++ b/lid_driven_cavity/opencl_gl_interop/lattice/AB.py
@@ -0,0 +1 @@
+../../opencl/AB.py \ No newline at end of file
diff --git a/lid_driven_cavity/opencl_gl_interop/ldc_2d.py b/lid_driven_cavity/opencl_gl_interop/ldc_2d.py
index daac486..ac8119b 100644
--- a/lid_driven_cavity/opencl_gl_interop/ldc_2d.py
+++ b/lid_driven_cavity/opencl_gl_interop/ldc_2d.py
@@ -2,6 +2,9 @@ import numpy
import time
from string import Template
+import pyopencl as cl
+from pyopencl.tools import get_gl_sharing_context_properties
+
from boltzgen import Generator, Geometry
from boltzgen.lbm.lattice import D2Q9
from boltzgen.lbm.model import BGK
@@ -40,7 +43,6 @@ def glut_window(fullscreen = False):
window = glut_window(fullscreen = False)
Lattice = eval('%s.Lattice' % streaming)
-HelperTemplate = eval('%s.HelperTemplate' % streaming)
MomentsTexture = eval('%s.MomentsTexture' % streaming)
generator = Generator(
@@ -51,10 +53,13 @@ generator = Generator(
index = 'ZYX',
layout = 'SOA')
-kernel_src = generator.kernel(geometry, functions, extras)
-kernel_src += generator.custom(geometry, HelperTemplate)
+kernel_src = generator.kernel(geometry, functions, extras)
+
+cl_platform = cl.get_platforms()[0]
+cl_context = cl.Context(properties=[(cl.context_properties.PLATFORM, cl_platform)] + get_gl_sharing_context_properties())
+cl_queue = cl.CommandQueue(cl_context)
-lattice = Lattice(geometry, kernel_src, D2Q9, precision = precision)
+lattice = Lattice(geometry, kernel_src, D2Q9, cl_context, cl_queue, precision = precision)
moments = MomentsTexture(lattice)
gid = lattice.memory.gid
@@ -69,19 +74,19 @@ lid_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
[ gid(x,y) for x, y in geometry.inner_cells() if y == geometry.size_y-2 ])
if streaming == 'AB':
- lattice.schedule('collide_and_stream_cells', bulk_cells)
- lattice.schedule('velocity_momenta_boundary_cells', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
- lattice.schedule('velocity_momenta_boundary_cells', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule('collide_and_stream', bulk_cells)
+ lattice.schedule('velocity_momenta_boundary', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule('velocity_momenta_boundary', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
elif streaming == 'AA':
- lattice.schedule_tick('collide_and_stream_cells_tick', bulk_cells)
- lattice.schedule_tick('velocity_momenta_boundary_cells_tick', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
- lattice.schedule_tick('velocity_momenta_boundary_cells_tick', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
-
- lattice.schedule_tock('equilibrilize_cells_tick', ghost_cells)
- lattice.schedule_tock('collide_and_stream_cells_tock', bulk_cells)
- lattice.schedule_tock('velocity_momenta_boundary_cells_tock', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
- lattice.schedule_tock('velocity_momenta_boundary_cells_tock', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tick('collide_and_stream_tick', bulk_cells)
+ lattice.schedule_tick('velocity_momenta_boundary_tick', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tick('velocity_momenta_boundary_tick', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+
+ lattice.schedule_tock('equilibrilize_tick', ghost_cells)
+ lattice.schedule_tock('collide_and_stream_tock', bulk_cells)
+ lattice.schedule_tock('velocity_momenta_boundary_tock', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tock('velocity_momenta_boundary_tock', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
def get_projection(width, height):