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import pyopencl as cl
import numpy
import numpy.linalg as la
local_size = 256
thread_strides = 32
macroblock_count = 33
dtype = numpy.float32
total_size = local_size*thread_strides*macroblock_count
ctx = cl.create_some_context()
queue = cl.CommandQueue(ctx)
a = numpy.random.randn(total_size).astype(dtype)
b = numpy.random.randn(total_size).astype(dtype)
mf = cl.mem_flags
a_buf = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a)
b_buf = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=b)
c_buf = cl.Buffer(ctx, mf.WRITE_ONLY, b.nbytes)
from jinja2 import Template
tpl = Template("""
__kernel void add(
__global {{ type_name }} *tgt,
__global const {{ type_name }} *op1,
__global const {{ type_name }} *op2)
{
int idx = get_local_id(0)
+ {{ local_size }} * {{ thread_strides }}
* get_group_id(0);
{% for i in range(thread_strides) %}
{% set offset = i*local_size %}
tgt[idx + {{ offset }}] =
op1[idx + {{ offset }}]
+ op2[idx + {{ offset }}];
{% endfor %}
}""")
rendered_tpl = tpl.render(type_name="float",
local_size=local_size, thread_strides=thread_strides)
knl = cl.Program(ctx, str(rendered_tpl)).build().add
knl(queue, (local_size*macroblock_count,), (local_size,),
c_buf, a_buf, b_buf)
c = numpy.empty_like(a)
cl.enqueue_read_buffer(queue, c_buf, c).wait()
assert la.norm(c-(a+b)) == 0
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