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import numpy as np
import numpy.linalg as la
import pyopencl as cl
import pyopencl.array as cl_array
rng = np.random.default_rng()
a = rng.random(50000, dtype=np.float32)
b = rng.random(50000, dtype=np.float32)
ctx = cl.create_some_context()
queue = cl.CommandQueue(ctx)
a_dev = cl_array.to_device(queue, a)
b_dev = cl_array.to_device(queue, b)
dest_dev = cl_array.empty_like(a_dev)
prg = cl.Program(ctx, """
__kernel void sum(__global const float *a,
__global const float *b, __global float *c)
{
int gid = get_global_id(0);
c[gid] = a[gid] + b[gid];
}
""").build()
knl = prg.sum # Use this Kernel object for repeated calls
knl(queue, a.shape, None, a_dev.data, b_dev.data, dest_dev.data)
print(la.norm((dest_dev - (a_dev+b_dev)).get()))
assert np.allclose(dest_dev.get(), (a_dev + b_dev).get())
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