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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 Xher class (see the header for information about the class).
//
// =================================================================================================
#include "internal/routines/level2/xher.h"
#include <string>
namespace clblast {
// =================================================================================================
// Specific implementations to get the memory-type based on a template argument
template <> const Precision Xher<float, float>::precision_ = Precision::kSingle;
template <> const Precision Xher<double, double>::precision_ = Precision::kDouble;
template <> const Precision Xher<float2, float>::precision_ = Precision::kComplexSingle;
template <> const Precision Xher<double2, double>::precision_ = Precision::kComplexDouble;
// =================================================================================================
// Constructor: forwards to base class constructor
template <typename T, typename U>
Xher<T,U>::Xher(Queue &queue, Event &event, const std::string &name):
Routine<T>(queue, event, name, {"Xger"}, precision_) {
source_string_ =
#include "../../kernels/level2/level2.opencl"
#include "../../kernels/level2/xher.opencl"
;
}
// =================================================================================================
// Specializations to compute alpha of type 'T'
template <> float2 Xher<float2,float>::GetAlpha(const float alpha) { return float2{alpha, 0.0f}; }
template <> double2 Xher<double2,double>::GetAlpha(const double alpha) { return double2{alpha, 0.0}; }
template <> float Xher<float,float>::GetAlpha(const float alpha) { return alpha; }
template <> double Xher<double,double>::GetAlpha(const double alpha) { return alpha; }
// =================================================================================================
// The main routine
template <typename T, typename U>
StatusCode Xher<T,U>::DoHer(const Layout layout, const Triangle triangle,
const size_t n,
const U alpha,
const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
const Buffer<T> &a_buffer, const size_t a_offset, const size_t a_ld,
const bool packed) {
// Makes sure the dimensions are larger than zero
if (n == 0) { return StatusCode::kInvalidDimension; }
// The data is either in the upper or lower triangle
const auto is_upper = ((triangle == Triangle::kUpper && layout != Layout::kRowMajor) ||
(triangle == Triangle::kLower && layout == Layout::kRowMajor));
const auto is_rowmajor = (layout == Layout::kRowMajor);
// Creates a matching version of alpha
const auto matching_alpha = GetAlpha(alpha);
// Tests the matrix and the vectors for validity
auto status = StatusCode::kSuccess;
if (packed) { status = TestMatrixAP(n, a_buffer, a_offset, sizeof(T)); }
else { status = TestMatrixA(n, n, a_buffer, a_offset, a_ld, sizeof(T)); }
if (ErrorIn(status)) { return status; }
status = TestVectorX(n, x_buffer, x_offset, x_inc, sizeof(T));
if (ErrorIn(status)) { return status; }
// If alpha is zero an update is not required
if (alpha == U{0}) { return StatusCode::kSuccess; }
// Retrieves the Xgemv kernel from the compiled binary
try {
auto& program = GetProgramFromCache();
auto kernel = Kernel(program, "Xher");
// Sets the kernel arguments
kernel.SetArgument(0, static_cast<int>(n));
kernel.SetArgument(1, matching_alpha);
kernel.SetArgument(2, x_buffer());
kernel.SetArgument(3, static_cast<int>(x_offset));
kernel.SetArgument(4, static_cast<int>(x_inc));
kernel.SetArgument(5, a_buffer());
kernel.SetArgument(6, static_cast<int>(a_offset));
kernel.SetArgument(7, static_cast<int>(a_ld));
kernel.SetArgument(8, static_cast<int>(is_upper));
kernel.SetArgument(9, static_cast<int>(is_rowmajor));
// Launches the kernel
auto global_one = CeilDiv(Ceil(n, db_["WGS1"]), db_["WPT"]);
auto global_two = CeilDiv(Ceil(n, db_["WGS2"]), db_["WPT"]);
auto global = std::vector<size_t>{global_one, global_two};
auto local = std::vector<size_t>{db_["WGS1"], db_["WGS2"]};
status = RunKernel(kernel, global, local);
if (ErrorIn(status)) { return status; }
// Waits for all kernels to finish
queue_.Finish();
// Succesfully finished the computation
return StatusCode::kSuccess;
} catch (...) { return StatusCode::kInvalidKernel; }
}
// =================================================================================================
// Compiles the templated class
template class Xher<float, float>;
template class Xher<double, double>;
template class Xher<float2, float>;
template class Xher<double2, double>;
// =================================================================================================
} // namespace clblast
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