diff options
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp')
| -rw-r--r-- | src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp | 310 |
1 files changed, 310 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp new file mode 100644 index 0000000000..7ee79e82af --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp @@ -0,0 +1,310 @@ +/* + * Copyright (c) 2022 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 "ClTemplateResize.h" + +#include "src/core/helpers/WindowHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h" + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +ClTemplateResize::ClTemplateResize(ComponentId id, const ArgumentPack<ITensorInfo> &tensors, const ClTemplateResize::Attributes &attributes) + : IGpuTemplateComponentWriter{ id, tensors }, _src{}, _dst{}, _attributes{ attributes } +{ + _src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0); + _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0); + + ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _dst); +} + +std::string ClTemplateResize::get_name() const +{ + return _attributes.interpolation_policy() == InterpolationPolicy::BILINEAR ? "resize_bilinear" : "resize_nearest"; +} + +std::string ClTemplateResize::get_component_code(const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const +{ + ARM_COMPUTE_UNUSED(comp_group); + + std::string code = R"_( +//------------------ START KERNEL {{meta_kernel_id}} --------------------- +TILE({{DST_DATA_TYPE}}, 1, N0, {{dst}}); +TILE(uint, 1, 1, g_dst_indirect_y); +{ + const int yo = g_ind_2 % {{arg_dst}}_h; + const int bout = g_ind_2 / {{arg_dst}}_h; +)_"; + + if(_attributes.interpolation_policy() == InterpolationPolicy::NEAREST_NEIGHBOR) + { + if(_attributes.sampling_policy() == SamplingPolicy::TOP_LEFT) + { + code += R"_( + float xi_f = (g_ind_1 * SCALE_X); + float yi_f = (yo * SCALE_Y); +)_"; + } + else + { + code += R"_( + float xi_f = ((g_ind_1 + 0.5f) * SCALE_X); + float yi_f = ((yo + 0.5f) * SCALE_Y); +)_"; + } + + if(_attributes.align_corners()) + { + code += R"_( + xi_f = round(xi_f); + yi_f = round(yi_f); +)_"; + } + + code += R"_( + const int xi0 = clamp((int)xi_f, 0, (int){{src}}_w - 1); + const int yi0 = clamp((int)yi_f, 0, (int){{src}}_h - 1); + + T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi0, xi0, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, {{dst}}); +)_"; + } + else if(_attributes.interpolation_policy() == InterpolationPolicy::BILINEAR) + { + if(_attributes.sampling_policy() == SamplingPolicy::TOP_LEFT) + { + code += R"_( + float xi_f = (g_ind_1 * SCALE_X); + float yi_f = (yo * SCALE_Y); +)_"; + } + else + { + code += R"_( + float xi_f = ((g_ind_1 + 0.5f) * SCALE_X - 0.5f); + float yi_f = ((yo + 0.5f) * SCALE_Y - 0.5f); +)_"; + } + + code += R"_( + const int xi = (int)floor(xi_f); + const int yi = (int)floor(yi_f); + + TILE({{SRC_DATA_TYPE}}, 1, N0, in00); + TILE({{SRC_DATA_TYPE}}, 1, N0, in01); + TILE({{SRC_DATA_TYPE}}, 1, N0, in10); + TILE({{SRC_DATA_TYPE}}, 1, N0, in11); + + in00[0].v = {{CONSTANT_VALUE}}; + in01[0].v = {{CONSTANT_VALUE}}; + in10[0].v = {{CONSTANT_VALUE}}; + in11[0].v = {{CONSTANT_VALUE}}; + + const int xi0 = clamp(xi, 0, (int){{src}}_w - 1); + const int yi0 = clamp(yi, 0, (int){{src}}_h - 1); + const int xi1 = clamp(xi + 1, 0, (int){{src}}_w - 1); + const int yi1 = clamp(yi + 1, 0, (int){{src}}_h - 1); + + T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi0, xi0, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in00); + T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi0, xi1, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in01); + T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi1, xi0, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in10); + T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi1, xi1, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in11); +)_"; + + if(is_data_type_float(_src->data_type())) + { + code += R"_( + const {{SRC_DATA_TYPE}} a = ({{SRC_DATA_TYPE}})(xi_f - (float)xi); + const {{SRC_DATA_TYPE}} b = ({{SRC_DATA_TYPE}})(1.f - a); + const {{SRC_DATA_TYPE}} a1 = ({{SRC_DATA_TYPE}})(yi_f - (float)yi); + const {{SRC_DATA_TYPE}} b1 = ({{SRC_DATA_TYPE}})(1.f - a1); + + // Calculate the output + {{dst}}[0].v = ((in00[0].v * b * b1) + (in01[0].v * a * b1) + (in10[0].v * b * a1) + (in11[0].v * a * a1)); +)_"; + } + else + { + code += R"_( + TILE(float, 1, N0, out_f); + TILE(float, 1, N0, in00_f); + TILE(float, 1, N0, in01_f); + TILE(float, 1, N0, in10_f); + TILE(float, 1, N0, in11_f); + + const float a = (xi_f - (float)xi); + const float b = (1.f - a); + const float a1 = (yi_f - (float)yi); + const float b1 = (1.f - a1); +)_" + // Dequantize + R"_( + LOOP_UNROLLING(int, n0, 0, 1, N0, + { + in00_f[0].s[n0] = ((float)in00[0].s[n0] - (float){{OFFSET}}) * (float){{SCALE}}; + in01_f[0].s[n0] = ((float)in01[0].s[n0] - (float){{OFFSET}}) * (float){{SCALE}}; + in10_f[0].s[n0] = ((float)in10[0].s[n0] - (float){{OFFSET}}) * (float){{SCALE}}; + in11_f[0].s[n0] = ((float)in11[0].s[n0] - (float){{OFFSET}}) * (float){{SCALE}}; + }) +)_" + // Calculate the output in the floating-point domain + R"_( + out_f[0].v = ((in00_f[0].v * b * b1) + (in01_f[0].v * a * b1) + (in10_f[0].v * b * a1) + (in11_f[0].v * a * a1)); +)_" + // Quantize + R"_( + LOOP_UNROLLING(int, n0, 0, 1, N0, + { + {{dst}}[0].s[n0] = CONVERT_SAT(out_f[0].s[n0] / (float){{SCALE}} + (float){{OFFSET}}, {{DST_DATA_TYPE}}); + }) +)_"; + } + } + else + { + ARM_COMPUTE_ERROR("Unsupported interpolation policy"); + } + + code += R"_( + g_dst_indirect_y[0].v = g_ind_1 + (yo * (int)({{arg_dst}}_w)) + bout * (int)({{arg_dst}}_w * {{arg_dst}}_h); +} +//------------------ END KERNEL {{meta_kernel_id}} --------------------- +)_"; + + return code; +} + +void ClTemplateResize::declare_variables(GpuKernelVariableTable &vtable, const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const +{ + vtable.declare_variable( + _src, + GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer), + comp_group.is_intermediate_tensor(_src), + "src"); + + vtable.declare_variable( + _dst, + GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer), + comp_group.is_intermediate_tensor(_dst), + "dst"); +} + +TagLUT ClTemplateResize::get_tag_lut(const GpuKernelVariableTable &vtable, const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const +{ + TagLUT lut{}; + + // Arguments and global shared variables + lut["src"] = vtable.get_variable(_src); + lut["dst"] = vtable.get_variable(_dst); + + const auto dst_argument = vtable.get_variable(comp_group.get_any_dst_tensor()); + lut["arg_dst"] = dst_argument.uniq_name; + + // Local build options + lut["meta_kernel_id"] = id(); + lut["SRC_DATA_TYPE"] = get_cl_type_from_data_type(_src->data_type()); + lut["SRC_TENSOR_TYPE"] = "BUFFER"; + lut["DST_DATA_TYPE"] = get_cl_type_from_data_type(_dst->data_type()); + lut["CONSTANT_VALUE"] = string_from_pixel_value(0, _src->data_type()); + + const bool is_qasymm_bilinear = is_data_type_quantized_asymmetric(_src->data_type()) + && _attributes.interpolation_policy() == InterpolationPolicy::BILINEAR; + + if(is_qasymm_bilinear) + { + const UniformQuantizationInfo qinfo = _src->quantization_info().uniform(); + lut["SCALE"] = support::cpp11::to_string(qinfo.scale); + lut["OFFSET"] = support::cpp11::to_string(qinfo.offset); + } + else + { + lut["SCALE"] = support::cpp11::to_string(1); + lut["OFFSET"] = support::cpp11::to_string(0); + } + + return lut; +} + +CLBuildOptions ClTemplateResize::get_build_options(const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const +{ + const Window root_window = comp_group.get_root_component()->template_writer()->get_window(); + const unsigned int n0 = root_window.x().step(); + const unsigned int m0 = root_window.y().step(); + const unsigned int partial_n0 = _dst->dimension(0) % n0; + + const float scale_x = scale_utils::calculate_resize_ratio(_src->dimension(1), _dst->dimension(1), _attributes.align_corners()); + const float scale_y = scale_utils::calculate_resize_ratio(_src->dimension(2), _dst->dimension(2), _attributes.align_corners()); + + CLBuildOptions build_opts; + + build_opts.add_option("-DN0=" + support::cpp11::to_string(n0)); + build_opts.add_option("-DM0=" + support::cpp11::to_string(m0)); + build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_n0)); + 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)); + + return build_opts; +} + +std::string ClTemplateResize::get_config_id() const +{ + std::string config_id{}; + + config_id += "resize_"; + config_id += (_attributes.interpolation_policy() == InterpolationPolicy::NEAREST_NEIGHBOR ? "NEAREST_NEIGHBOR" : ""); + config_id += (_attributes.interpolation_policy() == InterpolationPolicy::BILINEAR ? "BILINEAR" : ""); + config_id += "_"; + config_id += (_attributes.sampling_policy() == SamplingPolicy::CENTER ? "center" : "topleft"); + 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)); + + return config_id; +} + +std::set<std::string> ClTemplateResize::get_headers_list() const +{ + return std::set<std::string>{ "helpers.h", "tile_helpers.h" }; +} + +Window ClTemplateResize::get_window() const +{ + ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized"); + + const unsigned int n0 = adjust_vec_size(16 / _src->element_size(), _src->dimension(0)); + Window win = calculate_max_window(*_dst, Steps(n0)); + return win.collapse(win, Window::DimZ); +} + +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute |