| /* |
| * 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 <cstddef> |
| #include <cstdint> |
| |
| 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<Status, Window> 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<cl::Kernel>(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(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)); |
| } |