diff options
Start to use vectorizable indexing for material initialization
`utility.ndindex` adds support for specifying the traversal order to `numpy.ndindex`.
Diffstat (limited to 'simulation.py')
| -rw-r--r-- | simulation.py | 20 | 
1 files changed, 13 insertions, 7 deletions
| diff --git a/simulation.py b/simulation.py index 700b8b6..badd2bb 100644 --- a/simulation.py +++ b/simulation.py @@ -2,6 +2,8 @@ import pyopencl as cl  mf = cl.mem_flags  import numpy +from utility.ndindex import ndindex +  import sympy  from mako.template import Template @@ -98,6 +100,14 @@ class Memory:      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, @@ -148,14 +158,10 @@ class Lattice:          self.program.equilibrilize(              self.queue, self.grid.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b).wait() -    def setup_geometry(self, material_at): -        material = numpy.ndarray(shape=(self.memory.volume, 1), dtype=numpy.int32) -        material[:,:] = 0 - -        for idx in self.geometry.inner_cells(): -            material[self.memory.gid(*idx)] = material_at(self.geometry, *idx) +        self.material = numpy.ndarray(shape=(self.memory.volume, 1), dtype=numpy.int32) -        cl.enqueue_copy(self.queue, self.memory.cl_material, material).wait(); +    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( | 
