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Commit af35e0c

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RuymanDuncanMcBain
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Added initial example of builtin kernel
Small sample showing how to use built-in kernels in ComputeCpp.
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set(SOURCE_NAME "builtin-kernel-example")
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add_executable(
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${SOURCE_NAME}
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${CMAKE_CURRENT_SOURCE_DIR}/${SOURCE_NAME}.cpp
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)
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add_sycl_to_target(
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TARGET ${SOURCE_NAME}
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SOURCES ${CMAKE_CURRENT_SOURCE_DIR}/${SOURCE_NAME}.cpp
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)
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add_test(
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NAME ${SOURCE_NAME}
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COMMAND ${SOURCE_NAME}
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)
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install(
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TARGETS ${SOURCE_NAME}
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RUNTIME DESTINATION bin
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)
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/***************************************************************************
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*
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* Copyright (C) 2018 Codeplay Software Limited
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* For your convenience, a copy of the License has been included in this
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* repository.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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* Codeplay's ComputeCpp SDK
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*
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* builtin_kernel_example.cpp
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*
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* Description:
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* Example of using an OpenCL builtin kernel with SYCL via the codeplay
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* extension
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*
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**************************************************************************/
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#include <CL/sycl.hpp>
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#include <array>
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#include <iostream>
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using namespace cl::sycl;
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int main() {
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queue testQueue;
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context testContext = testQueue.get_context();
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device dev = testContext.get_devices()[0];
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/*
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* Using the device properties, we can query which built in kernels
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* are supported
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*/
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auto builtinKernels = dev.get_info<info::device::built_in_kernels>();
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if (builtinKernels.size() == 0) {
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std::cout << "[EXIT] No built-in kernels available for testing "
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<< std::endl;
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return 0;
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}
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/*
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* The only builtin kernel supported by this example is the
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* ComputeAorta copy buffer, defined as:
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* copy_buffer(__global * in, __global * out)
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* And copies input into output.
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*/
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const std::string kAortaTestKernelName{"copy_buffer"};
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auto kernelNamePos =
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std::find(std::begin(builtinKernels), std::end(builtinKernels),
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kAortaTestKernelName);
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if (kernelNamePos == std::end(builtinKernels)) {
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std::cout << "[EXIT] Only ComputeAorta test built-in kernel is supported "
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<< " on this example " << std::endl;
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return 0;
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}
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const float goldenValue = 1234.0f;
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float input = goldenValue;
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float output = 0;
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{
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buffer<float, 1> buf(&input, range<1>(1));
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buffer<float, 1> bufOut(range<1>(1));
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bufOut.set_final_data(&output);
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program syclProgram(testContext);
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/*
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* The "create_from_built_in_kernel" method from the
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* ComputeCpp program class uses the clCreateProgramWithBultinKernels
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* to load the OpenCL builtin kernels into the SYCL program object.
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*/
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syclProgram.create_from_built_in_kernel(kAortaTestKernelName);
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kernel kernelC(syclProgram.get_kernel(kAortaTestKernelName));
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testQueue.submit([&](handler& cgh) {
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auto accIn = buf.get_access<access::mode::read>(cgh);
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auto accOut = bufOut.get_access<access::mode::write>(cgh);
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/* Using the OpenCL interoperability to set the kernel
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* arguments to match the accessors to the builtin kernel
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* arguments.
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*/
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cgh.set_arg(0, accIn);
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cgh.set_arg(1, accOut);
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auto myRange = range<1>{1};
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/* The kernel can be dispatched to the device using the
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* parallel_for dispatch function.
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* In this case, since the range is 1, the single_task could
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* also have been used.
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*/
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cgh.parallel_for(myRange, kernelC);
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});
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}
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int retVal = 0;
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if (input != output) {
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std::cout << " The result of the builtin kernel is not expected!"
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<< std::endl;
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retVal = 1;
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}
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return retVal;
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}

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