// ================================================================================================= // 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 // // This file implements the Xhemv class (see the header for information about the class). // // ================================================================================================= #include "internal/routines/level2/xhemv.h" #include #include namespace clblast { // ================================================================================================= // Constructor: forwards to base class constructor template Xhemv::Xhemv(Queue &queue, Event &event, const std::string &name): Xgemv(queue, event, name) { } // ================================================================================================= // The main routine template StatusCode Xhemv::DoHemv(const Layout layout, const Triangle triangle, const size_t n, const T alpha, const Buffer &a_buffer, const size_t a_offset, const size_t a_ld, const Buffer &x_buffer, const size_t x_offset, const size_t x_inc, const T beta, const Buffer &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(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(n)); kernel.SetArgument(1, static_cast(a_ld)); kernel.SetArgument(2, static_cast(a_offset)); kernel.SetArgument(3, a_buffer()); kernel.SetArgument(4, static_cast(n)); kernel.SetArgument(5, static_cast(n)); kernel.SetArgument(6, static_cast(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{Ceil(CeilDiv(n, db_["PAD_WPTX"]), db_["PAD_DIMX"]), Ceil(CeilDiv(n, db_["PAD_WPTY"]), db_["PAD_DIMY"])}; auto local = std::vector{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; template class Xhemv; // ================================================================================================= } // namespace clblast