Created
February 19, 2015 04:31
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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
import numpy as np | |
import pyopencl as cl | |
from mako.template import Template | |
a_np = np.random.rand(50000).astype(np.float32) | |
b_np = np.random.rand(50000).astype(np.float32) | |
ctx = cl.create_some_context() | |
queue = cl.CommandQueue(ctx) | |
mf = cl.mem_flags | |
a_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a_np) | |
b_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=b_np) | |
class Parameters: | |
loops = 2 | |
factor = 3 | |
parameters = Parameters() | |
tmpl = Template(""" | |
__kernel void sum(__global const float *a_g, __global const float *b_g, __global float *res_g) { | |
int gid = get_global_id(0); | |
float a = a_g[gid]; | |
float b = b_g[gid]; | |
%for i in range(parameters.loops): | |
a += b * ${parameters.factor}; | |
%endfor | |
res_g[gid] = a; | |
} | |
""") | |
src = tmpl.render(parameters=parameters) | |
prg = cl.Program(ctx, src).build() | |
res_g = cl.Buffer(ctx, mf.WRITE_ONLY, a_np.nbytes) | |
prg.sum(queue, a_np.shape, None, a_g, b_g, res_g) | |
res_np = np.empty_like(a_np) | |
cl.enqueue_copy(queue, res_np, res_g) | |
# Check on CPU with Numpy: | |
print(np.allclose(res_np, a_np + b_np * parameters.factor * parameters.loops)) |
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