/* * Copyright (c) 2018-2020 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/CLYOLOLayerKernel.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/CLValidate.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/IAccessWindow.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/Window.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/Types.h" #include "support/StringSupport.h" namespace arm_compute { namespace { Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes) { ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::UNKNOWN); ARM_COMPUTE_RETURN_ERROR_ON(act_info.activation() != ActivationLayerInfo::ActivationFunction::LOGISTIC); const unsigned int channel_idx = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL); ARM_COMPUTE_RETURN_ERROR_ON(num_classes <= 0); ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(channel_idx) % (num_classes + 5)) != 0); // Checks performed when output is configured if((output != nullptr) && (output->total_size() != 0)) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); } return Status{}; } std::pair validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) { if(output != nullptr) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); // Output auto inizialitation if not yet initialized auto_init_if_empty(*output, *input); } const bool is_nchw = input->data_layout() == DataLayout::NCHW; const unsigned int num_elems_processed_per_iteration = is_nchw ? 16 / input->element_size() : 1; Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); bool window_changed = false; if(output != nullptr) { AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); window_changed = update_window_and_padding(win, input_access, output_access); output_access.set_valid_region(win, input->valid_region()); } else { window_changed = update_window_and_padding(win, AccessWindowHorizontal(input, 0, num_elems_processed_per_iteration)); } Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; return std::make_pair(err, win); } } // namespace CLYOLOLayerKernel::CLYOLOLayerKernel() : _input(nullptr), _output(nullptr), _run_in_place(false) { } void CLYOLOLayerKernel::configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes) { configure(CLKernelLibrary::get().get_compile_context(), input, output, act_info, num_classes); } void CLYOLOLayerKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes) { ARM_COMPUTE_ERROR_ON_NULLPTR(input); _run_in_place = (output == nullptr) || (output == input); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr, act_info, num_classes)); const bool is_nchw = input->info()->data_layout() == DataLayout::NCHW; const unsigned int num_elems_processed_per_iteration = is_nchw ? 16 / input->info()->element_size() : 1; const DataType dt = input->info()->data_type(); float a_const = act_info.a(); float b_const = act_info.b(); // Set build options CLBuildOptions build_opts; build_opts.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(act_info.activation()))); build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(dt)); build_opts.add_option("-DSELECT_DATA_TYPE=" + get_cl_select_type_from_data_type(dt)); build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); build_opts.add_option("-DA_VAL=" + float_to_string_with_full_precision(a_const)); build_opts.add_option("-DB_VAL=" + float_to_string_with_full_precision(b_const)); build_opts.add_option("-DNUM_CLASSES=" + support::cpp11::to_string(num_classes)); build_opts.add_option_if(_run_in_place, "-DIN_PLACE"); // Create kernel std::string kernel_name = std::string("yolo_layer_") + lower_string(string_from_data_layout(input->info()->data_layout())); _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); // Make sure _kernel is initialized before calling the parent's configure _input = input; _output = output; // Configure kernel window auto win_config = validate_and_configure_window(input->info(), (_run_in_place) ? nullptr : output->info()); ARM_COMPUTE_ERROR_THROW_ON(win_config.first); ICLKernel::configure_internal(win_config.second); // Set config_id for enabling LWS tuning _config_id = "yolo_layer_"; _config_id += lower_string(string_from_data_type(dt)); _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 += lower_string(string_from_data_layout(input->info()->data_layout())); } Status CLYOLOLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes) { const bool run_in_place = (output == nullptr) || (output == input); ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, act_info, num_classes)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), (run_in_place) ? nullptr : output->clone().get()).first); return Status{}; } void CLYOLOLayerKernel::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(); do { unsigned int idx = 0; add_3D_tensor_argument(idx, _input, slice); if(!_run_in_place) { add_3D_tensor_argument(idx, _output, slice); } enqueue(queue, *this, slice, lws_hint()); } while(collapsed.slide_window_slice_3D(slice)); } } // namespace arm_compute