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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 Xscal class (see the header for information about the class).
//
// =================================================================================================
#include "internal/routines/level1/xscal.h"
#include <string>
#include <vector>
namespace clblast {
// =================================================================================================
// Specific implementations to get the memory-type based on a template argument
template <> const Precision Xscal<float>::precision_ = Precision::kSingle;
template <> const Precision Xscal<double>::precision_ = Precision::kDouble;
template <> const Precision Xscal<float2>::precision_ = Precision::kComplexSingle;
template <> const Precision Xscal<double2>::precision_ = Precision::kComplexDouble;
// =================================================================================================
// Constructor: forwards to base class constructor
template <typename T>
Xscal<T>::Xscal(Queue &queue, Event &event, const std::string &name):
Routine<T>(queue, event, name, {"Xaxpy"}, precision_) {
source_string_ =
#include "../../kernels/level1/level1.opencl"
#include "../../kernels/level1/xscal.opencl"
;
}
// =================================================================================================
// The main routine
template <typename T>
StatusCode Xscal<T>::DoScal(const size_t n, const T alpha,
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 vector for validity
auto status = TestVectorX(n, x_buffer, x_offset, x_inc, sizeof(T));
if (ErrorIn(status)) { return status; }
// Determines whether or not the fast-version can be used
bool use_fast_kernel = (x_offset == 0) && (x_inc == 1) &&
IsMultiple(n, db_["WGS"]*db_["WPT"]*db_["VW"]);
// If possible, run the fast-version of the kernel
auto kernel_name = (use_fast_kernel) ? "XscalFast" : "Xscal";
// Retrieves the Xscal kernel from the compiled binary
try {
auto& program = GetProgramFromCache();
auto kernel = Kernel(program, kernel_name);
// Sets the kernel arguments
if (use_fast_kernel) {
kernel.SetArgument(0, static_cast<int>(n));
kernel.SetArgument(1, alpha);
kernel.SetArgument(2, x_buffer());
}
else {
kernel.SetArgument(0, static_cast<int>(n));
kernel.SetArgument(1, alpha);
kernel.SetArgument(2, x_buffer());
kernel.SetArgument(3, static_cast<int>(x_offset));
kernel.SetArgument(4, static_cast<int>(x_inc));
}
// Launches the kernel
if (use_fast_kernel) {
auto global = std::vector<size_t>{CeilDiv(n, db_["WPT"]*db_["VW"])};
auto local = std::vector<size_t>{db_["WGS"]};
status = RunKernel(kernel, global, local);
}
else {
auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]);
auto global = std::vector<size_t>{n_ceiled/db_["WPT"]};
auto local = std::vector<size_t>{db_["WGS"]};
status = RunKernel(kernel, global, local);
}
if (ErrorIn(status)) { return status; }
// Succesfully finished the computation
return StatusCode::kSuccess;
} catch (...) { return StatusCode::kInvalidKernel; }
}
// =================================================================================================
// Compiles the templated class
template class Xscal<float>;
template class Xscal<double>;
template class Xscal<float2>;
template class Xscal<double2>;
// =================================================================================================
} // namespace clblast
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