| /* |
| * Copyright (c) 2016-2019 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/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 <set> |
| #include <string> |
| |
| using namespace arm_compute; |
| |
| namespace |
| { |
| inline std::pair<float, float> calculate_scale_factors(const ITensorInfo &input, const ITensorInfo &output) |
| { |
| 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 = static_cast<float>(input_width) / static_cast<float>(output_width); |
| float hr = static_cast<float>(input_height) / static_cast<float>(output_height); |
| |
| return std::make_pair(wr, hr); |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, InterpolationPolicy policy) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, 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(output == input); |
| |
| float wr = 0.f; |
| float hr = 0.f; |
| std::tie(wr, hr) = calculate_scale_factors(*input, *output); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(policy == InterpolationPolicy::AREA && (wr > 1.f || hr > 1.f)); |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, 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(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(), |
| policy, |
| sampling_policy, |
| 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, InterpolationPolicy policy, |
| BorderMode border_mode, SamplingPolicy sampling_policy) |
| { |
| BorderSize border = BorderSize(1); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, policy)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), policy, border_mode, sampling_policy, 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, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy) |
| { |
| _input = input; |
| _output = output; |
| _interpolationPolicy = policy; |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), policy)); |
| |
| float wr = 0.f; |
| float hr = 0.f; |
| std::tie(wr, hr) = calculate_scale_factors(*input->info(), *output->info()); |
| |
| const bool call_quantized_kernel = is_data_type_quantized_asymmetric(input->info()->data_type()) && policy == InterpolationPolicy::BILINEAR; |
| |
| DataLayout data_layout = input->info()->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); |
| const bool is_nhwc = data_layout == DataLayout::NHWC; |
| |
| // Compute the ratio between source width/height and destination width/height |
| const unsigned int input_width = input->info()->dimension(idx_width); |
| const unsigned int input_height = input->info()->dimension(idx_height); |
| const unsigned int output_width = output->info()->dimension(idx_width); |
| const unsigned int output_height = output->info()->dimension(idx_height); |
| |
| // Compute actual border size |
| BorderSize border = border_size(); |
| |
| // Area interpolation behaves as Nearest Neighbour in case of up-sampling |
| if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) |
| { |
| policy = InterpolationPolicy::NEAREST_NEIGHBOR; |
| } |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), output->info(), policy, border_mode, sampling_policy, 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(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(sampling_policy == SamplingPolicy::CENTER, "-DSAMPLING_POLICY_CENTER", "-DSAMPLING_POLICY_TOP_LEFT"); |
| if(call_quantized_kernel) |
| { |
| build_opts.add_option("-DSCALE=" + support::cpp11::to_string(input->info()->quantization_info().scale)); |
| build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(input->info()->quantization_info().offset)); |
| } |
| |
| std::string interpolation_name = string_from_interpolation_policy(policy); |
| 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 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(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 |
| |
| // Set static kernel arguments |
| const float scale_x = static_cast<float>(input_width) / output_width; |
| const float scale_y = static_cast<float>(input_height) / output_height; |
| |
| _kernel.setArg<float>(idx++, input_width); |
| _kernel.setArg<float>(idx++, input_height); |
| _kernel.setArg<float>(idx++, scale_x); |
| _kernel.setArg<float>(idx++, scale_y); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "scale_"; |
| _config_id += (border_mode == BorderMode::REPLICATE ? "Bord_rep" : ""); |
| _config_id += (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(_input->info()->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"); |
| } |
| } |