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import pyopencl as cl
mf = cl.mem_flags
import numpy
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, context, queue, precision = 'single'):
self.geometry = geometry
self.descriptor = descriptor
self.float_type = {
'single': (numpy.float32, 'float'),
'double': (numpy.float64, 'double'),
}.get(precision, None)
self.layout = None
self.context = context
self.queue = queue
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_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 = []
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_domain(
self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_moments)
else:
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
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