/* * Copyright (c) 2016-2023 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/gpu/cl/kernels/ClScaleKernel.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/utils/helpers/AdjustVecSize.h" #include "arm_compute/core/utils/InterpolationPolicyUtils.h" #include "arm_compute/core/utils/StringUtils.h" #include "src/core/AccessWindowStatic.h" #include "src/core/CL/CLValidate.h" #include "src/core/helpers/WindowHelpers.h" #include "src/core/utils/ScaleUtils.h" #include "support/Cast.h" namespace arm_compute { namespace opencl { namespace kernels { namespace { inline std::tuple calculate_scale_factors(const ITensorInfo *src, const ITensorInfo *dst, DataLayout data_layout, bool align_corners) { 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 src_width = src->dimension(idx_width); const unsigned int src_height = src->dimension(idx_height); const unsigned int dst_width = dst->dimension(idx_width); const unsigned int dst_height = dst->dimension(idx_height); float scale_x = arm_compute::scale_utils::calculate_resize_ratio(src_width, dst_width, align_corners); float scale_y = arm_compute::scale_utils::calculate_resize_ratio(src_height, dst_height, align_corners); return std::make_tuple(scale_x, scale_y); } Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::U8, DataType::S16, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); ARM_COMPUTE_RETURN_ERROR_ON(dst == src); ARM_COMPUTE_RETURN_ERROR_ON(src->num_channels() != 1); ARM_COMPUTE_RETURN_ERROR_ON( info.align_corners && !arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(info.sampling_policy)); ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized(src->data_type()) && !is_data_type_quantized_asymmetric(src->data_type())); float scale_x = 0.f; float scale_y = 0.f; const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : info.data_layout; std::tie(scale_x, scale_y) = calculate_scale_factors(src, dst, data_layout, info.align_corners); ARM_COMPUTE_RETURN_ERROR_ON(info.interpolation_policy == InterpolationPolicy::AREA && (scale_x > 1.f || scale_y > 1.f)); return Status{}; } } // namespace Status ClScaleKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, info)); return Status{}; } ClScaleKernel::ClScaleKernel() { _type = CLKernelType::ELEMENTWISE; } void ClScaleKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info) { ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, info)); auto padding_info = get_padding_info({src, dst}); // Info required for the static tuning _data_layout = info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : info.data_layout; const bool is_nhwc = _data_layout == DataLayout::NHWC; float scale_x = 0.f; float scale_y = 0.f; std::tie(scale_x, scale_y) = calculate_scale_factors(src, dst, _data_layout, info.align_corners); // Area interpolation behaves as Nearest Neighbour in case of up-sampling auto interpolation_policy_to_use = info.interpolation_policy; if (info.interpolation_policy == InterpolationPolicy::AREA && scale_x <= 1.f && scale_y <= 1.f) { interpolation_policy_to_use = InterpolationPolicy::NEAREST_NEIGHBOR; } // Create kernel 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 int idx_channel = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::CHANNEL); const unsigned int src_width = src->dimension(idx_width); const unsigned int src_height = src->dimension(idx_height); const unsigned int dst_width = dst->dimension(idx_width); const unsigned int dst_channels = dst->dimension(idx_channel); unsigned int vec_size = 0; unsigned int vec_size_leftover = 0; CLBuildOptions build_opts; if (_data_layout == DataLayout::NHWC) { vec_size = adjust_vec_size(src->data_type() == DataType::F32 ? 4 : 8, dst_channels); vec_size_leftover = dst_channels % vec_size; build_opts.add_option("-DSRC_TENSOR_TYPE=BUFFER"); build_opts.add_option("-DSRC_DATA_TYPE=" + get_cl_type_from_data_type(src->data_type())); build_opts.add_option("-DDST_TENSOR_TYPE=BUFFER"); build_opts.add_option("-DDST_DATA_TYPE=" + get_cl_type_from_data_type(dst->data_type())); build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(info.constant_border_value, src->data_type())); build_opts.add_option("-DN0=" + support::cpp11::to_string(vec_size)); build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(vec_size_leftover)); build_opts.add_option("-DSCALE_" + string_from_interpolation_policy(interpolation_policy_to_use)); build_opts.add_option_if(src->num_dimensions() > 3, "-DBATCHED_EXECUTION"); build_opts.add_option_if(info.border_mode == BorderMode::REPLICATE, "-DBORDER_MODE_REPLICATE"); build_opts.add_option_if(info.border_mode == BorderMode::CONSTANT, "-DBORDER_MODE_CONSTANT"); build_opts.add_option_if(info.align_corners, "-DALIGN_CORNERS"); build_opts.add_option_if(is_data_type_float(src->data_type()), "-DIS_FLOATING_POINT"); build_opts.add_option_if_else(info.sampling_policy == SamplingPolicy::CENTER, "-DSAMPLING_POLICY_CENTER", "-DSAMPLING_POLICY_TOP_LEFT"); } else if (_data_layout == DataLayout::NCHW) { vec_size = adjust_vec_size(4, dst_width); vec_size_leftover = dst_width % vec_size; build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type())); build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(info.constant_border_value, src->data_type())); build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(src_width)); build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(src_height)); build_opts.add_option("-DSCALE_X=" + float_to_string_with_full_precision(scale_x)); build_opts.add_option("-DSCALE_Y=" + float_to_string_with_full_precision(scale_y)); build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size)); build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + ((vec_size_leftover == 0) ? support::cpp11::to_string(vec_size) : support::cpp11::to_string(vec_size_leftover))); build_opts.add_option_if(info.border_mode == BorderMode::REPLICATE, "-DBORDER_MODE_REPLICATE"); build_opts.add_option_if(info.border_mode == BorderMode::CONSTANT, "-DBORDER_MODE_CONSTANT"); build_opts.add_option_if(info.align_corners, "-DALIGN_CORNERS"); build_opts.add_option_if_else(info.sampling_policy == SamplingPolicy::CENTER, "-DSAMPLING_POLICY_CENTER", "-DSAMPLING_POLICY_TOP_LEFT"); const bool is_qasymm_bilinear = is_data_type_quantized_asymmetric(src->data_type()) && info.interpolation_policy == InterpolationPolicy::BILINEAR; if (is_qasymm_bilinear) { const UniformQuantizationInfo qinfo = src->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)); } } else { ARM_COMPUTE_ERROR_ON("Unsupported data layout"); } 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 += lower_string(string_from_data_layout(_data_layout)); _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); // Configure kernel window Window win = calculate_max_window(*dst, Steps(vec_size)); ICLKernel::configure_internal(win); ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); // Pass scale kernel arguments if (is_nhwc) { unsigned int idx = 2 * num_arguments_per_4d_tensor_nhwc(); _kernel.setArg(idx++, scale_x); _kernel.setArg(idx++, scale_y); } // 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(dst->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(1)); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(2)); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(3)); } void ClScaleKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); auto src = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC)); auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); switch (_data_layout) { case DataLayout::NCHW: { Window slice = window.first_slice_window_2D(); do { unsigned int idx = 0; add_2D_tensor_argument(idx, src, slice); add_2D_tensor_argument(idx, dst, 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_nhwc_argument(idx, src); add_4d_tensor_nhwc_argument(idx, dst); enqueue(queue, *this, slice, lws_hint()); break; } default: ARM_COMPUTE_ERROR("Data layout not supported"); } } } // namespace kernels } // namespace opencl } // namespace arm_compute