/* * Copyright (c) 2016-2020 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/CLScaleKernel.h" #include "arm_compute/core/AccessWindowStatic.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/ICLKernel.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/CL/OpenCL.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/TensorInfo.h" #include "support/StringSupport.h" #include "src/core/utils/ScaleUtils.h" #include #include using namespace arm_compute; namespace { inline std::pair calculate_scale_factors(const ITensorInfo &input, const ITensorInfo &output, bool align_corners) { DataLayout data_layout = input.data_layout(); const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); // Compute the ratio between source width/height and destination width/height const unsigned int input_width = input.dimension(idx_width); const unsigned int input_height = input.dimension(idx_height); const unsigned int output_width = output.dimension(idx_width); const unsigned int output_height = output.dimension(idx_height); float wr = arm_compute::scale_utils::calculate_resize_ratio(input_width, output_width, align_corners); float hr = arm_compute::scale_utils::calculate_resize_ratio(input_height, output_height, align_corners); return std::make_pair(wr, hr); } Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ScaleKernelInfo &info) { 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::U8, DataType::S16, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); ARM_COMPUTE_RETURN_ERROR_ON(output == input); ARM_COMPUTE_RETURN_ERROR_ON(info.align_corners && !arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(info.sampling_policy)); const bool will_use_align_corners = info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_output_shape(output->tensor_shape(), output->data_layout()); float wr = 0.f; float hr = 0.f; std::tie(wr, hr) = calculate_scale_factors(*input, *output, will_use_align_corners); ARM_COMPUTE_RETURN_ERROR_ON(info.interpolation_policy == InterpolationPolicy::AREA && (wr > 1.f || hr > 1.f)); return Status{}; } std::pair validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const ScaleKernelInfo &info, BorderSize &border) { Window win{}; bool window_changed{}; unsigned int num_elems_processed_per_iteration = 0; DataLayout data_layout = input->data_layout(); switch(data_layout) { case DataLayout::NCHW: { if(info.border_mode == BorderMode::UNDEFINED) { border = BorderSize(0); } num_elems_processed_per_iteration = 4; // Configure kernel window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); AccessWindowStatic input_access(input, -border.left, -border.top, input->dimension(0) + border.right, input->dimension(1) + border.bottom); AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); output_access.set_valid_region(win, calculate_valid_region_scale(*(input), output->tensor_shape(), info.interpolation_policy, info.sampling_policy, info.border_mode == BorderMode::UNDEFINED)); window_changed = update_window_and_padding(win, input_access, output_access); } break; case DataLayout::NHWC: { num_elems_processed_per_iteration = 1; // Configure kernel window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); AccessWindowStatic input_access(input, -border.left, -border.top, input->dimension(0) + border.right, input->dimension(1) + border.bottom); 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, ValidRegion(Coordinates(), output->tensor_shape())); } break; default: ARM_COMPUTE_ERROR("Data layout not supported"); } Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; return std::make_pair(err, win); } } // namespace BorderSize CLScaleKernel::border_size() const { return BorderSize(1); } Status CLScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ScaleKernelInfo &info) { BorderSize border = BorderSize(1); ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), info, border).first); return Status{}; } const ICLTensor *CLScaleKernel::input() const { return _input; } const ICLTensor *CLScaleKernel::output() const { return _output; } void CLScaleKernel::configure(const ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info) { configure(CLKernelLibrary::get().get_compile_context(), input, output, info); } void CLScaleKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info) { ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), info)); _input = input; _output = output; _interpolation_policy = info.interpolation_policy; _data_layout = input->info()->data_layout(); _align_corners = info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_output_shape(output->info()->tensor_shape(), _data_layout); float wr = 0.f; float hr = 0.f; std::tie(wr, hr) = calculate_scale_factors(*input->info(), *output->info(), _align_corners); const bool call_quantized_kernel = is_data_type_quantized_asymmetric(input->info()->data_type()) && _interpolation_policy == InterpolationPolicy::BILINEAR; const int idx_width = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH); const int idx_height = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT); const bool is_nhwc = _data_layout == DataLayout::NHWC; // Compute actual border size BorderSize border = border_size(); auto interpolation_policy_to_use = _interpolation_policy; // Area interpolation behaves as Nearest Neighbour in case of up-sampling if(_interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) { interpolation_policy_to_use = InterpolationPolicy::NEAREST_NEIGHBOR; } // Configure kernel window auto win_config = validate_and_configure_window(input->info(), output->info(), info, border); ARM_COMPUTE_ERROR_THROW_ON(win_config.first); ICLKernel::configure_internal(win_config.second); // Create kernel CLBuildOptions build_opts; build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); build_opts.add_option("-DBORDER_SIZE=" + support::cpp11::to_string(border.right)); build_opts.add_option_if(info.border_mode == BorderMode::REPLICATE, "-DBORDER_MODE_REPLICATE"); build_opts.add_option_if(is_nhwc, "-DDEPTH_OUT=" + support::cpp11::to_string(output->info()->dimension(2))); build_opts.add_option_if_else(info.sampling_policy == SamplingPolicy::CENTER, "-DSAMPLING_POLICY_CENTER", "-DSAMPLING_POLICY_TOP_LEFT"); build_opts.add_option_if(_align_corners, "-DALIGN_CORNERS"); if(call_quantized_kernel) { const UniformQuantizationInfo qinfo = input->info()->quantization_info().uniform(); build_opts.add_option("-DSCALE=" + support::cpp11::to_string(qinfo.scale)); build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(qinfo.offset)); } std::string interpolation_name = string_from_interpolation_policy(interpolation_policy_to_use); std::transform(interpolation_name.begin(), interpolation_name.end(), interpolation_name.begin(), ::tolower); std::string kernel_name = "scale_" + interpolation_name; kernel_name += call_quantized_kernel ? "_quantized_" : "_"; kernel_name += lower_string(string_from_data_layout(_data_layout)); _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); unsigned int idx = is_nhwc ? 2 * num_arguments_per_4D_tensor() : 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters const unsigned int input_width = input->info()->dimension(idx_width); const unsigned int input_height = input->info()->dimension(idx_height); _kernel.setArg(idx++, input_width); _kernel.setArg(idx++, input_height); _kernel.setArg(idx++, wr); _kernel.setArg(idx++, hr); // Set config_id for enabling LWS tuning _config_id = "scale_"; _config_id += (info.border_mode == BorderMode::REPLICATE ? "Bord_rep" : ""); _config_id += (info.sampling_policy == SamplingPolicy::CENTER ? "center" : "topleft"); _config_id += (is_nhwc ? "nhwc" : "nchw"); _config_id += "_"; _config_id += support::cpp11::to_string(output->info()->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(output->info()->dimension(1)); _config_id += "_"; _config_id += support::cpp11::to_string(output->info()->dimension(2)); _config_id += "_"; _config_id += support::cpp11::to_string(output->info()->dimension(3)); } void CLScaleKernel::run(const Window &window, cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); switch(_data_layout) { case DataLayout::NCHW: { Window slice = window.first_slice_window_2D(); do { unsigned int idx = 0; add_2D_tensor_argument(idx, _input, slice); add_2D_tensor_argument(idx, _output, slice); enqueue(queue, *this, slice, lws_hint()); } while(window.slide_window_slice_2D(slice)); break; } case DataLayout::NHWC: { Window collapsed = window.collapse(ICLKernel::window(), Window::DimZ); Window slice = collapsed.first_slice_window_4D(); unsigned int idx = 0; add_4D_tensor_argument(idx, _input, slice); add_4D_tensor_argument(idx, _output, slice); enqueue(queue, *this, slice, lws_hint()); break; } default: ARM_COMPUTE_ERROR("Data layout not supported"); } }