diff options
Diffstat (limited to 'src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp | 334 |
1 files changed, 0 insertions, 334 deletions
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp deleted file mode 100644 index 9215fd602d..0000000000 --- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp +++ /dev/null @@ -1,334 +0,0 @@ -/* - * Copyright (c) 2019-2021 Arm Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h" - -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLKernelLibrary.h" -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/CL/OpenCL.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "src/core/AccessWindowStatic.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" -#include "support/StringSupport.h" - -namespace arm_compute -{ -using namespace misc::shape_calculator; - -namespace -{ -using ElementsProcessed = Steps; - -Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, - const GEMMReshapeInfo &gemm_info) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input0, input1, output); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED); - if(input0->data_type() == DataType::QASYMM8) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::QASYMM8, DataType::QSYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL); - } - ARM_COMPUTE_RETURN_ERROR_ON_MSG(input0->num_dimensions() > 4, "The number of dimensions for the LHS matrix must be <= 4"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(input1->num_dimensions() > 3, "The number of dimensions for the RHS matrix must be <= 3"); - ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 != rhs_info.k0); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(((lhs_info.k0 & (lhs_info.k0 - 1)) && lhs_info.k0 != 3), "Only 2,3,4,8,16 are supported for k0"); - ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 > 16); - ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 < 1 || lhs_info.m0 > 8); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(((rhs_info.n0 & (rhs_info.n0 - 1)) && rhs_info.n0 != 3), "Only 2,3,4,8,16 are supported for n0"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(rhs_info.export_to_cl_image, "Export to CLImage not supported for quantized GEMM"); - - const int m = gemm_info.m(); - const int n = gemm_info.n(); - const int k = gemm_info.k(); - - ARM_COMPUTE_UNUSED(m); - ARM_COMPUTE_UNUSED(n); - ARM_COMPUTE_UNUSED(k); - - ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(0) != static_cast<unsigned int>(k)); - ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(0) != static_cast<unsigned int>(n)); - ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(1) != static_cast<unsigned int>(k)); - if(gemm_info.reinterpret_input_as_3d()) - { - ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(1) * input0->dimension(2) != static_cast<unsigned int>(m)); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(1) != static_cast<unsigned int>(m)); - } - - if(output->total_size() != 0) - { - const TensorInfo tensor_info_output = output->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info)); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); - } - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, - const GEMMReshapeInfo &gemm_info, ElementsProcessed &num_elements_processed) -{ - unsigned int &num_elems_processed_per_iteration_x = num_elements_processed[0]; - unsigned int &num_elems_processed_per_iteration_y = num_elements_processed[1]; - bool reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d(); - bool reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0); - - Window win{}; - bool window_changed = false; - - // In case both input and output have to be reinterpreted as 3D tensors, - // force reinterpret_output_as_3d to be false. - if(reinterpret_input_as_3d == reinterpret_output_as_3d) - { - reinterpret_output_as_3d = false; - } - - // Output tensor auto initialization if not yet initialized - auto_init_if_empty(*output, input0->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info)).set_data_type(DataType::S32)); - - TensorInfo tmp_info(*output); - - if(reinterpret_output_as_3d) - { - // Since the output tensor has to be reinterpreted as 3D and the execute window is based on a 2D GEMM, - // the window needs to be constructed on the 2D collapsed version of the tensor - TensorShape tmp_shape(output->tensor_shape()); - tmp_shape.collapse(2U, 1U); - tmp_info.set_tensor_shape(tmp_shape); - } - - // Configure kernel window - num_elems_processed_per_iteration_x = rhs_info.n0; - num_elems_processed_per_iteration_y = lhs_info.m0; - - win = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); - - // RHS matrix still needs padding on the X - AccessWindowStatic input1_access(input1, 0, 0, - ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration_x), - input1->dimension(1)); - - window_changed = update_window_and_padding(win, input1_access); // window used by the execute_window_loop - - // Collapse along the Z direction - // This collapse needs to be here in order to tune the Z dimension of LWS - Window collapsed = win; - const unsigned int dimension_to_collapse = std::min(static_cast<unsigned int>(output->num_dimensions()), 2u); - collapsed = win.collapse(win, dimension_to_collapse); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, collapsed); -} -} // namespace - -CLGEMMLowpMatrixMultiplyNativeKernel::CLGEMMLowpMatrixMultiplyNativeKernel() - : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _reinterpret_input_as_3d(false), _reinterpret_output_as_3d(false), _use_dummy_work_items(false) -{ -} - -void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, - const GEMMReshapeInfo &gemm_info) -{ - configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output, lhs_info, rhs_info, gemm_info); -} - -void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, - const GEMMRHSMatrixInfo &rhs_info, - const GEMMReshapeInfo &gemm_info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output); - - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info)); - - _input0 = input0; - _input1 = input1; - _output = output; - _reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d(); - _reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0); - _use_dummy_work_items = preferred_dummy_work_items_support(CLKernelLibrary::get().get_device()); - - // We still need padding on the X dimension for the RHS matrix - auto padding_info = get_padding_info({ input0, output }); - - // In case both input and output have to be reinterpreted as 3D tensors, - // force reinterpret_input_as_3d and reinterpret_output_as_3d to be false. - if(_reinterpret_input_as_3d == _reinterpret_output_as_3d) - { - _reinterpret_input_as_3d = false; - _reinterpret_output_as_3d = false; - } - - // Check if we need to slide the matrix B - const unsigned int num_dimensions_input0 = _input0->info()->num_dimensions(); - _slide_matrix_b = (_input1->info()->num_dimensions() >= num_dimensions_input0); - - ElementsProcessed num_elements_processed{}; - - // Configure kernel window - auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info, num_elements_processed); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - ICLKernel::configure_internal(win_config.second); - - // If _reinterpret_input_as_3d = _reinterpret_output_as_3d = true, - // we will dispatch a batched-GEMM to reduce the complexity of the address calculation within the OpenCL kernel. - // This means that the actual m used by the kernel is given by output->info()->dimension(1) and not by gemm_info.m - const unsigned int internal_m = _reinterpret_output_as_3d ? gemm_info.m() : output->info()->dimension(1); - // Calculate partial (store instead of load) M0 and partial N0 for the partial blocks at the end of a row/column if any. This is to avoid padding. - const unsigned int partial_store_m0 = internal_m % lhs_info.m0; - const unsigned int partial_store_n0 = gemm_info.n() % rhs_info.n0; - - // Shrink M0 to be always <= M (internal_m) to prevent out-of-bounds reads. - // NOTE: This might have implications on heuristics and performance - const unsigned int internal_m0 = std::min(internal_m, lhs_info.m0); - - // Create build options - CLBuildOptions build_opts; - build_opts.add_option_if(_reinterpret_input_as_3d, "-DREINTERPRET_INPUT_AS_3D"); - build_opts.add_option_if(_reinterpret_output_as_3d, "-DREINTERPRET_OUTPUT_AS_3D"); - build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1))); - build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2))); - build_opts.add_option_if(!_slide_matrix_b, "-DMATRIX_B_DEPTH=" + support::cpp11::to_string(input1->info()->dimension(2))); - build_opts.add_option_if(_use_dummy_work_items, "-DDUMMY_WORK_ITEMS"); - build_opts.add_option("-DM=" + support::cpp11::to_string(input0->info()->dimension(1))); - build_opts.add_option("-DN=" + support::cpp11::to_string(gemm_info.n())); - build_opts.add_option("-DK=" + support::cpp11::to_string(gemm_info.k())); - build_opts.add_option("-DM0=" + support::cpp11::to_string(internal_m0)); - build_opts.add_option("-DN0=" + support::cpp11::to_string(rhs_info.n0)); - build_opts.add_option("-DK0=" + support::cpp11::to_string(rhs_info.k0)); - build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type())); - build_opts.add_option("-DACC_DATA_TYPE=" + get_cl_dot8_acc_type_from_data_type(input0->info()->data_type())); - build_opts.add_option("-DPARTIAL_STORE_M0=" + support::cpp11::to_string(partial_store_m0)); - build_opts.add_option("-DPARTIAL_STORE_N0=" + support::cpp11::to_string(partial_store_n0)); - std::string kernel_name("gemmlowp_mm_native"); - - // Create kernel - _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); - - // Set config_id for enabling LWS tuning - _config_id = kernel_name; - _config_id += "_"; - _config_id += dot8_supported(CLKernelLibrary::get().get_device()) ? "_dot8" : ""; - _config_id += "_"; - _config_id += (_reinterpret_input_as_3d ? "3di_" : ""); - _config_id += (_reinterpret_output_as_3d ? "3do_" : ""); - _config_id += support::cpp11::to_string(output->info()->dimension(1)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(gemm_info.k()); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(2)); - _config_id += "_"; - _config_id += support::cpp11::to_string(lhs_info.m0); - _config_id += "_"; - _config_id += support::cpp11::to_string(rhs_info.n0); - _config_id += "_"; - _config_id += support::cpp11::to_string(lhs_info.k0); - - ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); -} - -Status CLGEMMLowpMatrixMultiplyNativeKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, - const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info) -{ - ElementsProcessed num_elements_processed{}; - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, lhs_info, rhs_info, gemm_info)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), - input1->clone().get(), - output->clone().get(), - lhs_info, - rhs_info, - gemm_info, - num_elements_processed) - .first); - - return Status{}; -} - -void CLGEMMLowpMatrixMultiplyNativeKernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - - if(_input1->info()->num_dimensions() < 3) - { - // The stride_z for matrix B must be zero if we do not slice - ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0); - } - - Window slice = window.first_slice_window_3D(); - Window slice_matrix_b = slice; - - slice_matrix_b.set(Window::DimX, Window::Dimension(0, 1, 1)); - slice_matrix_b.set(Window::DimY, Window::Dimension(0, 1, 1)); - - if(_reinterpret_input_as_3d) - { - // Pass bottom paddings to the kernel if the input has to be reinterpreted as 3D tensor - const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3; - const unsigned int total_cross_plane_pad = _input0->info()->padding().top + _input0->info()->padding().bottom; - _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad)); - } - - if(_reinterpret_output_as_3d) - { - // Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor - const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3 + (_reinterpret_input_as_3d ? 1 : 0); - const unsigned int total_cross_plane_pad = _output->info()->padding().top + _output->info()->padding().bottom; - _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad)); - } - - do - { - Window slice_b = slice; - // Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2 - // This scenario can happen when the matrix multiplication is used to perform a convolution operation - if(!_slide_matrix_b) - { - slice_b = slice_matrix_b; - } - - unsigned int idx = 0; - add_2D_tensor_argument(idx, _input0, slice); - add_2D_tensor_argument(idx, _input1, slice_b); - add_2D_tensor_argument(idx, _output, slice); - _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input0->info()->strides_in_bytes()[2])); - _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input1->info()->strides_in_bytes()[2])); - _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[2])); - enqueue(queue, *this, slice, lws_hint(), _use_dummy_work_items); - } - while(window.slide_window_slice_3D(slice)); -} -} // namespace arm_compute |