Blair Azzopardi <[email protected]> writes: > How would I execute multiple kernels sequentially without needing to resend > data to the GPU. > > I'm thinking it would be something along the lines of: > > data1_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=..) > data2_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=..) > > dataX_g = cl.Buffer(ctx, mf.READ_WRITE | mf.COPY_HOST_PTR, > hostbuf=local_var) > > my_kernel1.set_args(0, data1_g, data2_g, .., dataX_g) > my_kernel2.set_args(0, data1_g, data2_g, .., dataX_g) > my_kernel2.set_args(0, data1_g, data2_g, .., dataX_g) > > cl.enqueue_nd_range_kernel(queue, my_kernel1, global_ws, local_ws) > cl.enqueue_nd_range_kernel(queue, my_kernel2, global_ws, local_ws) > cl.enqueue_task(queue, my_kernel3) > > cl.enqueue_copy(queue, local_var, z_g) > > Does that look right?
Yep. > Does one need to set_args for each kernel or is there > a device specific method for setting global memory? Neither. > Perhaps there's an > example somewhere? https://github.com/pyopencl/pyopencl/tree/master/examples Andreas _______________________________________________ PyOpenCL mailing list [email protected] http://lists.tiker.net/listinfo/pyopencl
