| /* |
| * Copyright (c) 2017-2019 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/CLGEMMLowpReductionKernel.h" |
| |
| #include "arm_compute/core/AccessWindowStatic.h" |
| #include "arm_compute/core/CL/CLHelpers.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> |
| |
| namespace arm_compute |
| { |
| class Coordinates; |
| |
| namespace |
| { |
| Status validate_arguments_matrix_a_reduction(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); |
| |
| return Status{}; |
| } |
| std::pair<Status, Window> validate_and_configure_window_matrix_a_reduction(ITensorInfo *input, ITensorInfo *output) |
| { |
| constexpr unsigned int num_elems_processed_per_iteration = 1; |
| |
| Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| |
| AccessWindowStatic input_access(input, 0, 0, input->dimension(0), input->dimension(1)); |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| |
| bool window_changed = update_window_and_padding(win, input_access, output_access); |
| |
| output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->tensor_shape())); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| |
| Status validate_arguments_matrix_b_reduction(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window_matrix_b_reduction(ITensorInfo *input, ITensorInfo *output) |
| { |
| constexpr unsigned int num_elems_processed_per_iteration = 16; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| |
| AccessWindowStatic input_access(input, 0, 0, ceil_to_multiple(input->dimension(0), num_elems_processed_per_iteration), input->dimension(1)); |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| |
| bool window_changed = update_window_and_padding(win, input_access, output_access); |
| |
| output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->tensor_shape())); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| } // namespace |
| |
| ICLGEMMLowpReductionKernel::ICLGEMMLowpReductionKernel() |
| : _input(), _output() |
| { |
| } |
| |
| void CLGEMMLowpMatrixAReductionKernel::configure(const ICLTensor *mtx_a, ICLTensor *vector_sum_row) |
| { |
| // Perform validate step |
| ARM_COMPUTE_ERROR_ON_NULLPTR(mtx_a, vector_sum_row); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_matrix_a_reduction(mtx_a->info(), vector_sum_row->info())); |
| |
| _input = mtx_a; |
| _output = vector_sum_row; |
| |
| // Set the arguments to pass at compile time |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DCOLS_A=" + support::cpp11::to_string(mtx_a->info()->dimension(0))); |
| |
| const bool is_dot8_supported = dot8_supported(CLKernelLibrary::get().get_device()); |
| |
| std::string kernel_name = "gemmlowp_matrix_a_reduction" + std::string(is_dot8_supported ? "_dot8" : ""); |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window_matrix_a_reduction(_input->info(), _output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICLKernel::configure_internal(win_config.second); |
| |
| _config_id = kernel_name; |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(_input->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(_input->info()->dimension(1)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(_input->info()->dimension(2)); |
| } |
| |
| Status CLGEMMLowpMatrixAReductionKernel::validate(const ITensorInfo *mtx_a, const ITensorInfo *vector_sum_row) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_matrix_a_reduction(mtx_a, vector_sum_row)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_matrix_a_reduction(mtx_a->clone().get(), vector_sum_row->clone().get()).first); |
| |
| return Status{}; |
| } |
| |
| void CLGEMMLowpMatrixAReductionKernel::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::DimY); |
| Window slice_in = collapsed.first_slice_window_2D(); |
| Window slice_out = collapsed.first_slice_window_2D(); |
| |
| // Setup input slice. Its dimensions are increased in the cl kernel. |
| slice_in.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| slice_in.set(Window::DimY, Window::Dimension(0, 0, 0)); |
| slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice_in); |
| add_2D_tensor_argument(idx, _output, slice_out); |
| enqueue(queue, *this, slice_out, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_2D(slice_out)); |
| } |
| |
| void CLGEMMLowpMatrixBReductionKernel::configure(const ICLTensor *mtx_b, ICLTensor *vector_sum_col) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(mtx_b, vector_sum_col); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_matrix_b_reduction(mtx_b->info(), vector_sum_col->info())); |
| |
| _input = mtx_b; |
| _output = vector_sum_col; |
| |
| // Set the arguments to pass at compile time |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DCOLS_B=" + support::cpp11::to_string(mtx_b->info()->dimension(0))); |
| build_opts.add_option("-DROWS_B=" + support::cpp11::to_string(mtx_b->info()->dimension(1))); |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("gemmlowp_matrix_b_reduction", build_opts.options())); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window_matrix_b_reduction(_input->info(), _output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICLKernel::configure_internal(win_config.second); |
| } |
| |
| Status CLGEMMLowpMatrixBReductionKernel::validate(const ITensorInfo *mtx_b, const ITensorInfo *vector_sum_col) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_matrix_b_reduction(mtx_b, vector_sum_col)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_matrix_b_reduction(mtx_b->clone().get(), vector_sum_col->clone().get()).first); |
| |
| return Status{}; |
| } |
| |
| void CLGEMMLowpMatrixBReductionKernel::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(IKernel::window(), Window::DimY); |
| |
| Window slice_out = collapsed.first_slice_window_2D(); |
| Window slice_in = slice_out; |
| |
| slice_in.set(Window::DimY, Window::Dimension(0, 0, 0)); |
| slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice_in); |
| add_2D_tensor_argument(idx, _output, slice_out); |
| enqueue(queue, *this, slice_out, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_2D(slice_out)); |
| } |
| } // namespace arm_compute |