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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// This file implements the Xasum class (see the header for information about the class).
//
// =================================================================================================
#include "routines/level1/xasum.hpp"
#include <string>
#include <vector>
namespace clblast {
// =================================================================================================
// Constructor: forwards to base class constructor
template <typename T>
Xasum<T>::Xasum(Queue &queue, EventPointer event, const std::string &name):
Routine(queue, event, name, {"Xdot"}, PrecisionValue<T>()) {
source_string_ =
#include "../../kernels/level1/xasum.opencl"
;
}
// =================================================================================================
// The main routine
template <typename T>
StatusCode Xasum<T>::DoAsum(const size_t n,
const Buffer<T> &asum_buffer, const size_t asum_offset,
const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc) {
// Makes sure all dimensions are larger than zero
if (n == 0) { return StatusCode::kInvalidDimension; }
// Tests the vectors for validity
auto status = TestVectorX(n, x_buffer, x_offset, x_inc);
if (ErrorIn(status)) { return status; }
status = TestVectorScalar(1, asum_buffer, asum_offset);
if (ErrorIn(status)) { return status; }
// Retrieves the Xasum kernels from the compiled binary
try {
const auto program = GetProgramFromCache(context_, PrecisionValue<T>(), routine_name_);
auto kernel1 = Kernel(program, "Xasum");
auto kernel2 = Kernel(program, "XasumEpilogue");
// Creates the buffer for intermediate values
auto temp_size = 2*db_["WGS2"];
auto temp_buffer = Buffer<T>(context_, temp_size);
// Sets the kernel arguments
kernel1.SetArgument(0, static_cast<int>(n));
kernel1.SetArgument(1, x_buffer());
kernel1.SetArgument(2, static_cast<int>(x_offset));
kernel1.SetArgument(3, static_cast<int>(x_inc));
kernel1.SetArgument(4, temp_buffer());
// Event waiting list
auto eventWaitList = std::vector<Event>();
// Launches the main kernel
auto global1 = std::vector<size_t>{db_["WGS1"]*temp_size};
auto local1 = std::vector<size_t>{db_["WGS1"]};
auto kernelEvent = Event();
status = RunKernel(kernel1, queue_, device_, global1, local1, kernelEvent.pointer());
if (ErrorIn(status)) { return status; }
eventWaitList.push_back(kernelEvent);
// Sets the arguments for the epilogue kernel
kernel2.SetArgument(0, temp_buffer());
kernel2.SetArgument(1, asum_buffer());
kernel2.SetArgument(2, static_cast<int>(asum_offset));
// Launches the epilogue kernel
auto global2 = std::vector<size_t>{db_["WGS2"]};
auto local2 = std::vector<size_t>{db_["WGS2"]};
status = RunKernel(kernel2, queue_, device_, global2, local2, event_, eventWaitList);
if (ErrorIn(status)) { return status; }
// Succesfully finished the computation
return StatusCode::kSuccess;
} catch (...) { return StatusCode::kInvalidKernel; }
}
// =================================================================================================
// Compiles the templated class
template class Xasum<half>;
template class Xasum<float>;
template class Xasum<double>;
template class Xasum<float2>;
template class Xasum<double2>;
// =================================================================================================
} // namespace clblast
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