diff options
Diffstat (limited to 'src/routines/level3/xher2k.cpp')
-rw-r--r-- | src/routines/level3/xher2k.cpp | 173 |
1 files changed, 12 insertions, 161 deletions
diff --git a/src/routines/level3/xher2k.cpp b/src/routines/level3/xher2k.cpp index 25ff0333..6547233b 100644 --- a/src/routines/level3/xher2k.cpp +++ b/src/routines/level3/xher2k.cpp @@ -22,18 +22,7 @@ namespace clblast { // Constructor: forwards to base class constructor template <typename T, typename U> Xher2k<T,U>::Xher2k(Queue &queue, EventPointer event, const std::string &name): - Routine(queue, event, name, {"Copy","Pad","Transpose","Padtranspose","Xgemm"}, PrecisionValue<T>(), {}, { - #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" - , // separated in multiple parts to prevent C1091 in MSVC 2013 - #include "../../kernels/level3/xgemm_part1.opencl" - #include "../../kernels/level3/xgemm_part2.opencl" - #include "../../kernels/level3/xgemm_part3.opencl" - #include "../../kernels/level3/xgemm_part4.opencl" - }) { + Xherk<T,U>(queue, event, name) { } // ================================================================================================= @@ -48,160 +37,22 @@ void Xher2k<T,U>::DoHer2k(const Layout layout, const Triangle triangle, const Tr 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) ) { throw BLASError(StatusCode::kInvalidDimension); } - - // Determines whether to apply the conjugate transpose to matrix B (argument: no transpose) or - // to matrix A (argument: conjugate transpose) - auto ab_conjugate = (ab_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 ab_rotated = (layout == Layout::kColMajor && ab_conjugate) || - (layout == Layout::kRowMajor && !ab_conjugate); - auto c_rotated = (layout == Layout::kRowMajor); - - // Computes the first and second dimensions of the A and B matrices taking the layout into account - auto ab_one = (ab_rotated) ? k : n; - auto ab_two = (ab_rotated) ? n : k; - - // Tests the matrices (A, B, 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 B cannot be less than N when rotated, or less than K when not-rotated - // matrix C cannot be less than N - TestMatrixA(ab_one, ab_two, a_buffer, a_offset, a_ld); - TestMatrixB(ab_one, ab_two, b_buffer, b_offset, b_ld); - TestMatrixC(n, n, c_buffer, c_offset, c_ld); - - // Calculates the ceiled versions of n and k - auto n_ceiled = Ceil(Ceil(n, db_["MWG"]), 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"; - - // Determines whether or not temporary matrices are needed - auto a1_no_temp = ab_one == n_ceiled && ab_two == k_ceiled && a_ld == n_ceiled && a_offset == 0 && - ab_rotated == false && ab_conjugate == false; - auto a2_no_temp = ab_one == n_ceiled && ab_two == k_ceiled && a_ld == n_ceiled && a_offset == 0 && - ab_rotated == false && ab_conjugate == true; - auto b1_no_temp = ab_one == n_ceiled && ab_two == k_ceiled && b_ld == n_ceiled && b_offset == 0 && - ab_rotated == false && ab_conjugate == false; - auto b2_no_temp = ab_one == n_ceiled && ab_two == k_ceiled && b_ld == n_ceiled && b_offset == 0 && - ab_rotated == false && ab_conjugate == true; - - // Creates the temporary matrices - auto a1_temp = (a1_no_temp) ? a_buffer : Buffer<T>(context_, k_ceiled*n_ceiled); - auto a2_temp = (a2_no_temp) ? a_buffer : Buffer<T>(context_, k_ceiled*n_ceiled); - auto b1_temp = (b1_no_temp) ? b_buffer : Buffer<T>(context_, k_ceiled*n_ceiled); - auto b2_temp = (b2_no_temp) ? b_buffer : Buffer<T>(context_, k_ceiled*n_ceiled); - auto c_temp = Buffer<T>(context_, n_ceiled*n_ceiled); - - // Convert the arguments to complex versions + // Runs the first matrix multiplication + auto first_herk_event = Event(); auto complex_beta = T{beta, static_cast<U>(0.0)}; - - // Events of all kernels (including pre/post processing kernels) - auto eventWaitList = std::vector<Event>(); - auto emptyEventList = std::vector<Event>(); - - // Runs the pre-processing kernels. This transposes the matrices A and B, but also pads zeros to - // 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. - if (!a1_no_temp) { - auto eventProcessA1 = Event(); - PadCopyTransposeMatrix(queue_, device_, db_, eventProcessA1.pointer(), emptyEventList, - ab_one, ab_two, a_ld, a_offset, a_buffer, - n_ceiled, k_ceiled, n_ceiled, 0, a1_temp, - ConstantOne<T>(), program_, - true, ab_rotated, ab_conjugate); - eventWaitList.push_back(eventProcessA1); - } - if (!a2_no_temp) { - auto eventProcessA2 = Event(); - PadCopyTransposeMatrix(queue_, device_, db_, eventProcessA2.pointer(), emptyEventList, - ab_one, ab_two, a_ld, a_offset, a_buffer, - n_ceiled, k_ceiled, n_ceiled, 0, a2_temp, - ConstantOne<T>(), program_, - true, ab_rotated, !ab_conjugate); - eventWaitList.push_back(eventProcessA2); - } - if (!b1_no_temp) { - auto eventProcessB1 = Event(); - PadCopyTransposeMatrix(queue_, device_, db_, eventProcessB1.pointer(), emptyEventList, - ab_one, ab_two, b_ld, b_offset, b_buffer, - n_ceiled, k_ceiled, n_ceiled, 0, b1_temp, - ConstantOne<T>(), program_, - true, ab_rotated, ab_conjugate); - eventWaitList.push_back(eventProcessB1); - } - if (!b2_no_temp) { - auto eventProcessB2 = Event(); - PadCopyTransposeMatrix(queue_, device_, db_, eventProcessB2.pointer(), emptyEventList, - ab_one, ab_two, b_ld, b_offset, b_buffer, - n_ceiled, k_ceiled, n_ceiled, 0, b2_temp, - ConstantOne<T>(), program_, - true, ab_rotated, !ab_conjugate); - eventWaitList.push_back(eventProcessB2); - } - - // Furthermore, also creates a (possibly padded) copy of matrix C, since it is not allowed to - // modify the other triangle. - auto eventProcessC = Event(); - PadCopyTransposeMatrix(queue_, device_, 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); - - // Retrieves the XgemmUpper or XgemmLower kernel from the compiled binary - 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, GetRealArg(alpha)); - kernel.SetArgument(3, GetRealArg(complex_beta)); - kernel.SetArgument(4, a1_temp()); - kernel.SetArgument(5, b2_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 eventKernel1 = Event(); - RunKernel(kernel, queue_, device_, global, local, eventKernel1.pointer(), eventWaitList); - eventWaitList.push_back(eventKernel1); + const auto negated_ab_transpose = (ab_transpose != Transpose::kNo) ? Transpose::kNo : Transpose::kYes; + HerkAB(layout, triangle, ab_transpose, negated_ab_transpose, n, k, alpha, + a_buffer, a_offset, a_ld, b_buffer, b_offset, b_ld, complex_beta, c_buffer, c_offset, c_ld, + first_herk_event.pointer(), false); + ; + first_herk_event.WaitForCompletion(); // Swaps the arguments for matrices A and B, sets 'beta' to 1, and conjugate alpha auto conjugate_alpha = T{alpha.real(), -alpha.imag()}; auto complex_one = T{static_cast<U>(1.0), static_cast<U>(0.0)}; - kernel.SetArgument(2, GetRealArg(conjugate_alpha)); - kernel.SetArgument(3, GetRealArg(complex_one)); - kernel.SetArgument(4, b1_temp()); - kernel.SetArgument(5, a2_temp()); - - // Runs the kernel again - auto eventKernel2 = Event(); - RunKernel(kernel, queue_, device_, global, local, eventKernel2.pointer(), eventWaitList); - eventWaitList.push_back(eventKernel2); - - // Runs the post-processing kernel - auto upper = (triangle == Triangle::kUpper); - auto lower = (triangle == Triangle::kLower); - PadCopyTransposeMatrix(queue_, device_, 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); + HerkAB(layout, triangle, ab_transpose, negated_ab_transpose, n, k, conjugate_alpha, + b_buffer, b_offset, b_ld, a_buffer, a_offset, a_ld, complex_one, c_buffer, c_offset, c_ld, + event_, true); } // ================================================================================================= |