| /* |
| * 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 "src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "src/core/AccessWindowStatic.h" |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, mean, std); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, std); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(mean->num_dimensions() > 1, "mean and std must be vectors"); |
| |
| const unsigned int channel_idx = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(channel_idx) != mean->dimension(0)); |
| |
| // Checks performed when output is configured |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, ITensorInfo *mean, ITensorInfo *std) |
| { |
| // Output tensor auto initialization if not yet initialized |
| auto_init_if_empty(*output, *input->clone()); |
| |
| const unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); |
| |
| Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); |
| |
| AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); |
| 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, input->valid_region()); |
| |
| if(input->data_layout() == DataLayout::NHWC) |
| { |
| AccessWindowHorizontal mean_access(mean, 0, num_elems_processed_per_iteration); |
| AccessWindowHorizontal std_access(std, 0, num_elems_processed_per_iteration); |
| window_changed = window_changed || update_window_and_padding(win, mean_access, std_access); |
| } |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| } // namespace |
| |
| CLNormalizePlanarYUVLayerKernel::CLNormalizePlanarYUVLayerKernel() |
| : _input(nullptr), _output(nullptr), _mean(nullptr), _std(nullptr) |
| { |
| } |
| |
| void CLNormalizePlanarYUVLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output, mean, std); |
| } |
| |
| void CLNormalizePlanarYUVLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std) |
| { |
| // Perform validation step |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, mean, std); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), mean->info(), std->info())); |
| |
| _input = input; |
| _output = output; |
| _mean = mean; |
| _std = std; |
| |
| const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); |
| const unsigned int channel_idx = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::CHANNEL); |
| const DataType dt = input->info()->data_type(); |
| |
| // Set build options |
| CLBuildOptions build_opts; |
| build_opts.add_option(("-DDATA_TYPE=" + get_cl_type_from_data_type(dt))); |
| build_opts.add_option(("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration))); |
| build_opts.add_option(("-DNUM_CHANNELS=" + support::cpp11::to_string(input->info()->dimension(channel_idx)))); |
| |
| std::string kernel_name = "normalize_planar_yuv_layer_"; |
| if(is_data_type_quantized(dt)) |
| { |
| const UniformQuantizationInfo qinfo = input->info()->quantization_info().uniform(); |
| build_opts.add_option(("-DOFFSET=" + support::cpp11::to_string(qinfo.offset))); |
| build_opts.add_option(("-DSCALE=" + support::cpp11::to_string(qinfo.scale))); |
| kernel_name += "q8_"; |
| } |
| |
| // Create kernel |
| kernel_name += lower_string(string_from_data_layout(input->info()->data_layout())); |
| _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), output->info(), mean->info(), std->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICLKernel::configure_internal(win_config.second); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "normalize_planar_yuv_layer_"; |
| _config_id += lower_string(string_from_data_layout(input->info()->data_layout())); |
| _config_id += "_"; |
| _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 += support::cpp11::to_string(input->info()->dimension(2)); |
| } |
| |
| Status CLNormalizePlanarYUVLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mean, std)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), mean->clone().get(), std->clone().get()).first); |
| |
| return Status{}; |
| } |
| |
| void CLNormalizePlanarYUVLayerKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| |
| Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); |
| Window slice = collapsed.first_slice_window_3D(); |
| |
| Window slice_in = collapsed.first_slice_window_1D(); |
| slice_in.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| |
| unsigned int idx = 2 * num_arguments_per_3D_tensor(); |
| add_1D_tensor_argument(idx, _mean, slice_in); |
| add_1D_tensor_argument(idx, _std, slice_in); |
| |
| do |
| { |
| idx = 0; |
| add_3D_tensor_argument(idx, _input, slice); |
| add_3D_tensor_argument(idx, _output, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_3D(slice)); |
| } |
| } // namespace arm_compute |