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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 Xhemv class (see the header for information about the class).
//
// =================================================================================================
#include "internal/routines/level2/xhemv.h"
#include <string>
#include <vector>
namespace clblast {
// =================================================================================================
// Constructor: forwards to base class constructor
template <typename T>
Xhemv<T>::Xhemv(Queue &queue, Event &event):
Xgemv<T>(queue, event) {
}
// =================================================================================================
// The main routine
template <typename T>
StatusCode Xhemv<T>::DoHemv(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const Buffer<T> &a_buffer, const size_t a_offset, const size_t a_ld,
const Buffer<T> &x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
const Buffer<T> &y_buffer, const size_t y_offset, const size_t y_inc) {
// Makes sure all dimensions are larger than zero
if (n == 0) { return StatusCode::kInvalidDimension; }
// Checks for validity of the squared A matrix
auto status = TestMatrixA(n, n, a_buffer, a_offset, a_ld, sizeof(T));
if (ErrorIn(status)) { return status; }
// Determines which kernel to run based on the layout (the Xgemv kernel assumes column-major as
// default) and on whether we are dealing with an upper or lower triangle of the hermitian matrix
bool is_upper = ((triangle == Triangle::kUpper && layout != Layout::kRowMajor) ||
(triangle == Triangle::kLower && layout == Layout::kRowMajor));
auto kernel_name = (is_upper) ? "HermUpperToSquared" : "HermLowerToSquared";
// Temporary buffer for a copy of the hermitian matrix
try {
auto temp_herm = Buffer<T>(context_, n*n);
// Creates a general matrix from the hermitian matrix to be able to run the regular Xgemv
// routine afterwards
try {
auto& program = GetProgramFromCache();
auto kernel = Kernel(program, kernel_name);
// Sets the arguments for the hermitian-to-squared kernel
kernel.SetArgument(0, static_cast<int>(n));
kernel.SetArgument(1, static_cast<int>(a_ld));
kernel.SetArgument(2, static_cast<int>(a_offset));
kernel.SetArgument(3, a_buffer());
kernel.SetArgument(4, static_cast<int>(n));
kernel.SetArgument(5, static_cast<int>(n));
kernel.SetArgument(6, static_cast<int>(0));
kernel.SetArgument(7, temp_herm());
// Uses the common padding kernel's thread configuration. This is allowed, since the
// hermitian-to-squared kernel uses the same parameters.
auto global = std::vector<size_t>{Ceil(CeilDiv(n, db_["PAD_WPTX"]), db_["PAD_DIMX"]),
Ceil(CeilDiv(n, db_["PAD_WPTY"]), db_["PAD_DIMY"])};
auto local = std::vector<size_t>{db_["PAD_DIMX"], db_["PAD_DIMY"]};
status = RunKernel(kernel, global, local);
if (ErrorIn(status)) { return status; }
// Runs the regular Xgemv code
status = DoGemv(layout, Transpose::kNo, n, n, alpha,
temp_herm, 0, n,
x_buffer, x_offset, x_inc, beta,
y_buffer, y_offset, y_inc);
// Return the status of the Xgemv routine
return status;
} catch (...) { return StatusCode::kInvalidKernel; }
} catch (...) { return StatusCode::kTempBufferAllocFailure; }
}
// =================================================================================================
// Compiles the templated class
template class Xhemv<float2>;
template class Xhemv<double2>;
// =================================================================================================
} // namespace clblast
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