/* * Copyright (c) 2017-2018 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 namespace { Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, int32_t a_offset, int32_t b_offset) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(mm_result, 1, DataType::S32); // If a_offset == 0, vector_sum_col can be a nullptr if(a_offset != 0) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_col, 1, DataType::S32); ARM_COMPUTE_RETURN_ERROR_ON(vector_sum_col->dimension(0) != mm_result->dimension(0)); } // If b_offset == 0, vector_sum_row can be a nullptr if(b_offset != 0) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_row, 1, DataType::S32); ARM_COMPUTE_RETURN_ERROR_ON(vector_sum_row->dimension(0) != mm_result->dimension(1)); TensorShape output_shape = mm_result->tensor_shape(); if(output_shape.num_dimensions() > 1) { TensorShape vector_sum_row_shape = vector_sum_row->tensor_shape(); vector_sum_row_shape.collapse_from(1); output_shape.collapse_from(2); ARM_COMPUTE_RETURN_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->tensor_shape(); vector_sum_col_shape.collapse_from(1); ARM_COMPUTE_RETURN_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"); } } } return Status{}; } std::pair validate_and_configure_window(ITensorInfo *mm_result, ITensorInfo *vector_sum_col, ITensorInfo *vector_sum_row, int32_t a_offset, int32_t b_offset) { constexpr unsigned int num_elems_processed_per_iteration = 4; bool window_changed = false; // Configure kernel window Window win = calculate_max_window(*mm_result, Steps(num_elems_processed_per_iteration)); AccessWindowHorizontal mm_result_access(mm_result, 0, num_elems_processed_per_iteration); window_changed = window_changed || update_window_and_padding(win, mm_result_access); if(a_offset != 0) { AccessWindowHorizontal vector_sum_col_access(vector_sum_col, 0, num_elems_processed_per_iteration); window_changed = window_changed || update_window_and_padding(win, vector_sum_col_access); } if(b_offset != 0) { AccessWindowStatic vector_sum_row_access(vector_sum_row, 0, 0, vector_sum_row->dimension(0), 0); // NOLINT window_changed = window_changed || update_window_and_padding(win, vector_sum_row_access); } Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; return std::make_pair(err, win); } } // namespace 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) { // Perform validate step ARM_COMPUTE_ERROR_ON_NULLPTR(mm_result); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(mm_result->info(), vector_sum_col != nullptr ? vector_sum_col->info() : nullptr, vector_sum_row != nullptr ? vector_sum_row->info() : nullptr, a_offset, b_offset)); // NOLINT _vector_sum_col = vector_sum_col; _vector_sum_row = vector_sum_row; _mm_result = mm_result; // 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) { build_opts.add_option("-DA_OFFSET=" + support::cpp11::to_string(a_offset)); build_opts.add_option_if(vector_sum_col->info()->tensor_shape().num_dimensions() > 1, "-DSUM_COL_HAS_BATCHES"); } // If b_offset == 0, vector_sum_row can be a nullptr build_opts.add_option_if(b_offset != 0, "-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())); // Configure kernel window auto win_config = validate_and_configure_window(mm_result->info(), vector_sum_col != nullptr ? vector_sum_col->info() : nullptr, vector_sum_row != nullptr ? vector_sum_row->info() : nullptr, a_offset, b_offset); // NOLINT ARM_COMPUTE_ERROR_THROW_ON(win_config.first); ICLKernel::configure_internal(win_config.second); // Set config_id for enabling LWS tuning _config_id = "gemmlowp_offset_contribution_"; _config_id += support::cpp11::to_string(mm_result->info()->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(mm_result->info()->dimension(1)); _config_id += "_"; _config_id += support::cpp11::to_string(mm_result->info()->dimension(2)); } Status CLGEMMLowpOffsetContributionKernel::validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, int32_t a_offset, int32_t b_offset) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(mm_result, vector_sum_col, vector_sum_row, a_offset, b_offset)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(mm_result->clone().get(), vector_sum_col != nullptr ? vector_sum_col->clone().get() : nullptr, vector_sum_row != nullptr ? vector_sum_row->clone().get() : nullptr, a_offset, b_offset) .first); // NOLINT return Status{}; } 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)); }