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    <p>Edit: extending the answer, making it maximally detailed.</p> <p>There are two ways to do that:</p> <ol> <li><p>(metaprogramming) Add your preprocessor directives directly to the string with the source code, or even run your own preprocessor using some templating engine.</p> <pre><code>import pyopencl as cl import numpy import numpy.linalg as la a = numpy.random.rand(50000).astype(numpy.float32) b = numpy.random.rand(50000).astype(numpy.float32) ctx = cl.create_some_context() queue = cl.CommandQueue(ctx) 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) dest_buf = cl.Buffer(ctx, mf.WRITE_ONLY, b.nbytes) defines = """ #define AXIS 0 #define COEFF 1 """ prg = cl.Program(ctx, defines + """ __kernel void sum(__global const float *a, __global const float *b, __global float *c) { int gid = get_global_id(AXIS); c[gid] = a[gid] + b[gid] + COEFF; } """).build() prg.sum(queue, a.shape, None, a_buf, b_buf, dest_buf) a_plus_b = numpy.empty_like(a) cl.enqueue_copy(queue, a_plus_b, dest_buf) print(la.norm(a_plus_b - (a+b+1)), la.norm(a_plus_b)) </code></pre></li> <li><p>(C-way) use <code>options</code> keyword of <code>Program.build</code> to pass build options directly to <a href="http://www.khronos.org/registry/cl/sdk/1.0/docs/man/xhtml/clBuildProgram.html" rel="nofollow">clBuildProgram()</a>:</p> <pre><code>import pyopencl as cl import numpy import numpy.linalg as la a = numpy.random.rand(50000).astype(numpy.float32) b = numpy.random.rand(50000).astype(numpy.float32) ctx = cl.create_some_context() queue = cl.CommandQueue(ctx) 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) dest_buf = cl.Buffer(ctx, mf.WRITE_ONLY, b.nbytes) prg = cl.Program(ctx, """ __kernel void sum(__global const float *a, __global const float *b, __global float *c) { int gid = get_global_id(AXIS); c[gid] = a[gid] + b[gid] + COEFF; } """).build(options=['-D', 'AXIS=0', '-D', 'COEFF=1']) prg.sum(queue, a.shape, None, a_buf, b_buf, dest_buf) a_plus_b = numpy.empty_like(a) cl.enqueue_copy(queue, a_plus_b, dest_buf) print(la.norm(a_plus_b - (a+b+1)), la.norm(a_plus_b)) </code></pre></li> </ol> <p>(I have used the modifed source code from the main page of PyOpenCL docs. Tested on pyopencl 2013.1).</p>
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    1. POHow to pass parameters to ocl kernel using pyopencl?
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    1. COAlright, but how exactly do I do that?
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    2. COAre you asking how to concatenate two strings in Python? Please provide some minimal example for me to work with, because I'm not sure I understand the question.
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    3. CONo. I'd like to know, where you want me to place the parameter as a string? Do you mean the string you read in to load the cl source to build it? Meaning cl.Program(ctx, <HERE>).build()
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