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author | Cedric Nugteren <web@cedricnugteren.nl> | 2016-06-19 13:55:49 +0200 |
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committer | Cedric Nugteren <web@cedricnugteren.nl> | 2016-06-19 13:55:49 +0200 |
commit | 61203453aaca4e47c05c598a673150522160ca87 (patch) | |
tree | 36cdce32423c2227de88e019c34415bef9499a6a /src/routines/level3/xherk.cc | |
parent | f726fbdc9fef937fbe32222f0e66aac8d7e2678c (diff) |
Renamed all C++ source files to .cpp to match the .hpp extension better
Diffstat (limited to 'src/routines/level3/xherk.cc')
-rw-r--r-- | src/routines/level3/xherk.cc | 197 |
1 files changed, 0 insertions, 197 deletions
diff --git a/src/routines/level3/xherk.cc b/src/routines/level3/xherk.cc deleted file mode 100644 index 6ef7f21f..00000000 --- a/src/routines/level3/xherk.cc +++ /dev/null @@ -1,197 +0,0 @@ - -// ================================================================================================= -// 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 Xherk class (see the header for information about the class). -// -// ================================================================================================= - -#include "routines/level3/xherk.hpp" - -#include <string> -#include <vector> - -namespace clblast { -// ================================================================================================= - -// Constructor: forwards to base class constructor -template <typename T, typename U> -Xherk<T,U>::Xherk(Queue &queue, EventPointer event, const std::string &name): - Routine(queue, event, name, {"Copy","Pad","Transpose","Padtranspose","Xgemm"}, PrecisionValue<T>()) { - source_string_ = - #include "../../kernels/level3/level3.opencl" - #include "../../kernels/level3/copy_fast.opencl" - #include "../../kernels/level3/copy_pad.opencl" - #include "../../kernels/level3/transpose_fast.opencl" - #include "../../kernels/level3/transpose_pad.opencl" - #include "../../kernels/level3/xgemm_part1.opencl" - #include "../../kernels/level3/xgemm_part2.opencl" - ; -} - -// ================================================================================================= - -// The main routine -template <typename T, typename U> -StatusCode Xherk<T,U>::DoHerk(const Layout layout, const Triangle triangle, const Transpose a_transpose, - const size_t n, const size_t k, - const U alpha, - const Buffer<T> &a_buffer, const size_t a_offset, const size_t a_ld, - const U beta, - const Buffer<T> &c_buffer, const size_t c_offset, const size_t c_ld) { - - // Makes sure all dimensions are larger than zero - if ((n == 0) || (k == 0) ) { return StatusCode::kInvalidDimension; } - - // Determines whether to apply the conjugate transpose to matrix B (argument: no transpose) or - // to matrix A (argument: conjugate transpose) - auto a_conjugate = (a_transpose != Transpose::kNo); - auto b_conjugate = (a_transpose == Transpose::kNo); - - // Computes whether or not the matrices are transposed in memory. This is based on their layout - // (row or column-major) and whether or not they are requested to be pre-transposed. - auto a_rotated = (layout == Layout::kColMajor && a_conjugate) || - (layout == Layout::kRowMajor && !a_conjugate); - auto c_rotated = (layout == Layout::kRowMajor); - - // Computes the first and second dimensions of the A matrix taking the layout into account - auto a_one = (a_rotated) ? k : n; - auto a_two = (a_rotated) ? n : k; - - // Tests the two matrices (A, C) for validity, first from a perspective of the OpenCL buffers and - // their sizes, and then from a perspective of parameter values (e.g. n, k). Tests whether the - // OpenCL buffers are valid and non-zero and whether the OpenCL buffers have sufficient storage - // space. Also tests that the leading dimensions of: - // matrix A cannot be less than N when rotated, or less than K when not-rotated - // matrix C cannot be less than N - auto status = TestMatrixA(a_one, a_two, a_buffer, a_offset, a_ld); - if (ErrorIn(status)) { return status; } - status = TestMatrixC(n, n, c_buffer, c_offset, c_ld); - if (ErrorIn(status)) { return status; } - - // Calculates the ceiled versions of n and k - auto n_ceiled = Ceil(n, db_["NWG"]); - auto k_ceiled = Ceil(k, db_["KWG"]); - - // Decides which kernel to run: the upper-triangular or lower-triangular version - auto kernel_name = (triangle == Triangle::kUpper) ? "XgemmUpper" : "XgemmLower"; - - // The padded/transposed input/output matrices: if memory allocation fails, throw an exception - try { - - // Loads the program from the database - const auto program = GetProgramFromCache(context_, PrecisionValue<T>(), routine_name_); - - // Determines whether or not temporary matrices are needed - auto a_no_temp = a_one == n_ceiled && a_two == k_ceiled && a_ld == n_ceiled && a_offset == 0 && - a_rotated == false && a_conjugate == false; - auto b_no_temp = a_one == n_ceiled && a_two == k_ceiled && a_ld == n_ceiled && a_offset == 0 && - a_rotated == false && b_conjugate == false; - - // Creates the temporary matrices - auto a_temp = (a_no_temp) ? a_buffer : Buffer<T>(context_, k_ceiled*n_ceiled); - auto b_temp = (b_no_temp) ? a_buffer : Buffer<T>(context_, k_ceiled*n_ceiled); - auto c_temp = Buffer<T>(context_, n_ceiled*n_ceiled); - - // Upload the scalar arguments as constant buffers to the device (needed for half-precision) - auto complex_alpha = T{alpha, static_cast<U>(0.0)}; - auto complex_beta = T{beta, static_cast<U>(0.0)}; - auto alpha_buffer = Buffer<T>(context_, 1); - auto beta_buffer = Buffer<T>(context_, 1); - alpha_buffer.Write(queue_, 1, &complex_alpha); - beta_buffer.Write(queue_, 1, &complex_beta); - - // Events of all kernels (including pre/post processing kernels) - auto eventWaitList = std::vector<Event>(); - auto emptyEventList = std::vector<Event>(); - - // Runs the pre-processing kernel for matrix A. This transposes the matrix, but also pads zeros - // to fill it up until it reaches a certain multiple of size (kernel parameter dependent). In - // case nothing has to be done, these kernels can be skipped. Two copies are created. - if (!a_no_temp) { - auto eventProcessA = Event(); - status = PadCopyTransposeMatrix(queue_, device_, context_, db_, eventProcessA.pointer(), emptyEventList, - a_one, a_two, a_ld, a_offset, a_buffer, - n_ceiled, k_ceiled, n_ceiled, 0, a_temp, - ConstantOne<T>(), program, - true, a_rotated, a_conjugate); - eventWaitList.push_back(eventProcessA); - if (ErrorIn(status)) { return status; } - } - if (!b_no_temp) { - auto eventProcessB = Event(); - status = PadCopyTransposeMatrix(queue_, device_, context_, db_, eventProcessB.pointer(), emptyEventList, - a_one, a_two, a_ld, a_offset, a_buffer, - n_ceiled, k_ceiled, n_ceiled, 0, b_temp, - ConstantOne<T>(), program, - true, a_rotated, b_conjugate); - eventWaitList.push_back(eventProcessB); - if (ErrorIn(status)) { return status; } - } - - // Furthermore, also creates a (possibly padded) copy of matrix C, since it is not allowed to - // modify the other triangle. - auto eventProcessC = Event(); - status = PadCopyTransposeMatrix(queue_, device_, context_, db_, eventProcessC.pointer(), emptyEventList, - n, n, c_ld, c_offset, c_buffer, - n_ceiled, n_ceiled, n_ceiled, 0, c_temp, - ConstantOne<T>(), program, - true, c_rotated, false); - eventWaitList.push_back(eventProcessC); - if (ErrorIn(status)) { return status; } - - // Retrieves the XgemmUpper or XgemmLower kernel from the compiled binary - try { - auto kernel = Kernel(program, kernel_name); - - // Sets the kernel arguments - kernel.SetArgument(0, static_cast<int>(n_ceiled)); - kernel.SetArgument(1, static_cast<int>(k_ceiled)); - kernel.SetArgument(2, alpha_buffer()); - kernel.SetArgument(3, beta_buffer()); - kernel.SetArgument(4, a_temp()); - kernel.SetArgument(5, b_temp()); - kernel.SetArgument(6, c_temp()); - - // Computes the global and local thread sizes - auto global = std::vector<size_t>{ - (n_ceiled * db_["MDIMC"]) / db_["MWG"], - (n_ceiled * db_["NDIMC"]) / db_["NWG"] - }; - auto local = std::vector<size_t>{db_["MDIMC"], db_["NDIMC"]}; - - // Launches the kernel - auto eventKernel = Event(); - status = RunKernel(kernel, queue_, device_, global, local, eventKernel.pointer(), eventWaitList); - if (ErrorIn(status)) { return status; } - eventWaitList.push_back(eventKernel); - - // Runs the post-processing kernel - auto upper = (triangle == Triangle::kUpper); - auto lower = (triangle == Triangle::kLower); - status = PadCopyTransposeMatrix(queue_, device_, context_, db_, event_, eventWaitList, - n_ceiled, n_ceiled, n_ceiled, 0, c_temp, - n, n, c_ld, c_offset, c_buffer, - ConstantOne<T>(), program, - false, c_rotated, false, upper, lower, true); - if (ErrorIn(status)) { return status; } - - // Successfully finished the computation - return StatusCode::kSuccess; - } catch (...) { return StatusCode::kInvalidKernel; } - } catch (...) { return StatusCode::kTempBufferAllocFailure; } -} - -// ================================================================================================= - -// Compiles the templated class -template class Xherk<float2,float>; -template class Xherk<double2,double>; - -// ================================================================================================= -} // namespace clblast |