/* * Copyright (c) 2017 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 "arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h" #include "arm_compute/core/AccessWindowStatic.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" #include "support/ToolchainSupport.h" #include #include using namespace arm_compute; namespace arm_compute { class Coordinates; } // namespace arm_compute CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel() : _vector_sum_col(nullptr), _vector_sum_row(nullptr), _mm_result(nullptr) { } void CLGEMMLowpOffsetContributionKernel::configure(ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, int32_t k, int32_t a_offset, int32_t b_offset) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(mm_result, 1, DataType::S32); // Set the arguments to pass at compile time CLBuildOptions build_opts; // If a_offset == 0, vector_sum_col can be a nullptr if(a_offset != 0) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_col, 1, DataType::S32); ARM_COMPUTE_ERROR_ON(vector_sum_col->info()->dimension(0) != mm_result->info()->dimension(0)); TensorShape vector_sum_col_shape = vector_sum_col->info()->tensor_shape(); vector_sum_col_shape.collapse(1); build_opts.add_option("-DA_OFFSET=" + support::cpp11::to_string(a_offset)); } // If b_offset == 0, vector_sum_row can be a nullptr if(b_offset != 0) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_row, 1, DataType::S32); ARM_COMPUTE_ERROR_ON(vector_sum_row->info()->dimension(0) != mm_result->info()->dimension(1)); TensorShape output_shape = mm_result->info()->tensor_shape(); TensorShape vector_sum_row_shape = vector_sum_row->info()->tensor_shape(); vector_sum_row_shape.collapse(1); output_shape.collapse(2); ARM_COMPUTE_ERROR_ON_MSG(vector_sum_row_shape[1] != output_shape[2], "mm_result tensor must have the same number of batches of output tensor"); if(a_offset != 0) { TensorShape vector_sum_col_shape = vector_sum_col->info()->tensor_shape(); vector_sum_col_shape.collapse(1); ARM_COMPUTE_ERROR_ON_MSG(vector_sum_col_shape[1] != 1 && vector_sum_col_shape[1] != vector_sum_row_shape[1], "vector_sum_col tensor must have the same number of batches of vector_sum_row_shape or the number of batches must be set to 1"); } build_opts.add_option("-DB_OFFSET=" + support::cpp11::to_string(b_offset)); } build_opts.add_option("-DK_OFFSET=" + support::cpp11::to_string(a_offset * b_offset * k)); // Create kernel _kernel = static_cast(CLKernelLibrary::get().create_kernel("gemmlowp_offset_contribution", build_opts.options())); _vector_sum_col = vector_sum_col; _vector_sum_row = vector_sum_row; _mm_result = mm_result; constexpr unsigned int num_elems_processed_per_iteration = 16; // Configure kernel window Window win = calculate_max_window(*mm_result->info(), Steps(num_elems_processed_per_iteration)); AccessWindowHorizontal mm_result_access(mm_result->info(), 0, num_elems_processed_per_iteration); update_window_and_padding(win, mm_result_access); if(a_offset != 0) { AccessWindowHorizontal vector_sum_col_access(vector_sum_col->info(), 0, num_elems_processed_per_iteration); update_window_and_padding(win, vector_sum_col_access); } if(b_offset != 0) { AccessWindowStatic vector_sum_row_access(vector_sum_row->info(), 0, 0, vector_sum_row->info()->dimension(0), 0); update_window_and_padding(win, vector_sum_row_access); } ICLKernel::configure(win); } void CLGEMMLowpOffsetContributionKernel::run(const Window &window, cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); Window slice = collapsed.first_slice_window_3D(); // Set window for vector_sum_col Window win_vector_sum_col = slice; win_vector_sum_col.set(Window::DimY, Window::Dimension(0, 0, 0)); // Set window for vector_sum_row Window win_vector_sum_row = slice; win_vector_sum_row.set(Window::DimX, Window::Dimension(0, 0, 0)); win_vector_sum_row.set(Window::DimY, Window::Dimension(0, 0, 0)); do { unsigned int idx = 0; add_3D_tensor_argument(idx, _mm_result, slice); if(_vector_sum_col != nullptr) { add_2D_tensor_argument(idx, _vector_sum_col, win_vector_sum_col); } if(_vector_sum_row != nullptr) { add_2D_tensor_argument(idx, _vector_sum_row, win_vector_sum_row); } enqueue(queue, *this, slice); } while(collapsed.slide_window_slice_3D(slice)); }