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import pyopencl as cl
mf = cl.mem_flags
import numpy
from utility.ndindex import ndindex
import sympy
from mako.template import Template
from pathlib import Path
from pyopencl.tools import get_gl_sharing_context_properties
import OpenGL.GL as gl
from OpenGL.arrays import vbo
class Geometry:
def __init__(self, size_x, size_y, size_z = 1):
self.size_x = size_x
self.size_y = size_y
self.size_z = size_z
self.volume = size_x * size_y * size_z
def inner_cells(self):
for idx in numpy.ndindex(self.inner_size()):
yield tuple(map(lambda i: i + 1, idx))
def size(self):
if self.size_z == 1:
return (self.size_x, self.size_y)
else:
return (self.size_x, self.size_y, self.size_z)
def inner_size(self):
if self.size_z == 1:
return (self.size_x-2, self.size_y-2)
else:
return (self.size_x-2, self.size_y-2, self.size_z-2)
def pad(n, m):
return (n // m + min(1,n % m)) * m
class Grid:
def __init__(self, geometry, padding = None):
if padding == None:
self.size_x = geometry.size_x
self.size_y = geometry.size_y
self.size_z = geometry.size_z
else:
self.size_x = pad(geometry.size_x, padding[0])
self.size_y = pad(geometry.size_y, padding[1])
if geometry.size_z == 1:
self.size_z = geometry.size_z
else:
self.size_z = pad(geometry.size_z, padding[2])
self.volume = self.size_x * self.size_y * self.size_z
def size(self):
if self.size_z == 1:
return (self.size_x, self.size_y)
else:
return (self.size_x, self.size_y, self.size_z)
class Memory:
def __init__(self, descriptor, grid, context, float_type, align, opengl):
self.descriptor = descriptor
self.context = context
self.float_type = float_type
if align:
self.size_x = pad(grid.size_x, {
numpy.float32: 32,
numpy.float64: 16
}.get(float_type, None))
else:
self.size_x = grid.size_x
self.size_y = grid.size_y
self.size_z = grid.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 = (descriptor.d+1) * 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)
if opengl:
self.np_moments = numpy.ndarray(shape=(self.volume, 4), dtype=self.float_type)
self.gl_moments = vbo.VBO(data=self.np_moments, usage=gl.GL_DYNAMIC_DRAW, target=gl.GL_ARRAY_BUFFER)
self.gl_moments.bind()
self.cl_gl_moments = cl.GLBuffer(self.context, mf.READ_WRITE, int(self.gl_moments))
else:
self.cl_moments = cl.Buffer(self.context, mf.WRITE_ONLY, size=self.moments_size)
self.cl_material = cl.Buffer(self.context, mf.READ_ONLY, size=self.volume * numpy.int32(0).nbytes)
def gid(self, x, y, z = 0):
return z * (self.size_x*self.size_y) + y * self.size_x + x;
def size(self):
if self.size_z == 1:
return (self.size_x, self.size_y)
else:
return (self.size_x, self.size_y, self.size_z)
def cells(self):
return ndindex(self.size(), order='F')
class Lattice:
def __init__(self,
descriptor, geometry, moments, collide,
pop_eq_src = '', boundary_src = '',
platform = 0, precision = 'single', layout = None, padding = None, align = True, opengl = False
):
self.descriptor = descriptor
self.geometry = geometry
self.grid = Grid(self.geometry, padding)
self.time = 0
self.float_type = {
'single': (numpy.float32, 'float'),
'double': (numpy.float64, 'double'),
}.get(precision, None)
self.platform = cl.get_platforms()[platform]
if opengl:
self.context = cl.Context(
properties=[(cl.context_properties.PLATFORM, self.platform)] + get_gl_sharing_context_properties())
else:
self.context = cl.Context(
properties=[(cl.context_properties.PLATFORM, self.platform)])
self.queue = cl.CommandQueue(self.context)
self.memory = Memory(self.descriptor, self.grid, self.context, self.float_type[0], align, opengl)
self.tick = False
self.moments = moments
self.collide = collide
self.pop_eq_src = pop_eq_src
self.boundary_src = boundary_src
self.layout = layout
self.compiler_args = {
'single': '-cl-single-precision-constant -cl-fast-relaxed-math',
'double': '-cl-fast-relaxed-math'
}.get(precision, None)
self.build_kernel()
self.program.equilibrilize(
self.queue, self.grid.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b).wait()
self.material = numpy.ndarray(shape=(self.memory.volume, 1), dtype=numpy.int32)
def apply_material_map(self, material_map):
for indicator, material in material_map:
self.material[[indicator(*idx) for idx in self.memory.cells()]] = material
def sync_material(self):
cl.enqueue_copy(self.queue, self.memory.cl_material, self.material).wait();
def build_kernel(self):
program_src = Template(filename = str(Path(__file__).parent/'template/kernel.mako')).render(
descriptor = self.descriptor,
geometry = self.geometry,
memory = self.memory,
moments_subexpr = self.moments[0],
moments_assignment = self.moments[1],
collide_subexpr = self.collide[0],
collide_assignment = self.collide[1],
float_type = self.float_type[1],
pop_eq_src = Template(self.pop_eq_src).render(
descriptor = self.descriptor,
geometry = self.geometry,
memory = self.memory,
float_type = self.float_type[1],
),
boundary_src = Template(self.boundary_src).render(
descriptor = self.descriptor,
geometry = self.geometry,
memory = self.memory,
float_type = self.float_type[1],
),
ccode = sympy.ccode
)
self.program = cl.Program(self.context, program_src).build(self.compiler_args)
def evolve(self):
self.time += 1
if self.tick:
self.tick = False
self.program.collide_and_stream(
self.queue, self.grid.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b, self.memory.cl_material, numpy.uint32(self.time))
else:
self.tick = True
self.program.collide_and_stream(
self.queue, self.grid.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_pop_a, self.memory.cl_material, numpy.uint32(self.time))
def sync(self):
self.queue.finish()
def get_moments(self):
moments = numpy.ndarray(shape=(self.descriptor.d+1, self.memory.volume), dtype=self.float_type[0])
if self.tick:
self.program.collect_moments(
self.queue, self.grid.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_moments)
else:
self.program.collect_moments(
self.queue, self.grid.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
def collect_gl_moments(self):
cl.enqueue_acquire_gl_objects(self.queue, [self.memory.cl_gl_moments])
if self.tick:
self.program.collect_gl_moments(
self.queue, self.grid.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_material, self.memory.cl_gl_moments)
else:
self.program.collect_gl_moments(
self.queue, self.grid.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_material, self.memory.cl_gl_moments)
def update_gl_particles(self, particles, aging = False):
cl.enqueue_acquire_gl_objects(self.queue, [particles.
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