/* * Copyright (C) 2023, Gaussian-Grouping * Gaussian-Grouping research group, https://github.com/lkeab/gaussian-grouping * All rights reserved. * ------------------------------------------------------------------------ * Modified from codes in Gaussian-Splatting * GRAPHDECO research group, https://team.inria.fr/graphdeco */ #pragma once #include #include #include "rasterizer.h" #include namespace CudaRasterizer { template static void obtain(char*& chunk, T*& ptr, std::size_t count, std::size_t alignment) { std::size_t offset = (reinterpret_cast(chunk) + alignment - 1) & ~(alignment - 1); ptr = reinterpret_cast(offset); chunk = reinterpret_cast(ptr + count); } struct GeometryState { size_t scan_size; float* depths; char* scanning_space; bool* clamped; int* internal_radii; float2* means2D; float* cov3D; float4* conic_opacity; float* rgb; float* objects; uint32_t* point_offsets; uint32_t* tiles_touched; static GeometryState fromChunk(char*& chunk, size_t P); }; struct ImageState { uint2* ranges; uint32_t* n_contrib; float* accum_alpha; static ImageState fromChunk(char*& chunk, size_t N); }; struct BinningState { size_t sorting_size; uint64_t* point_list_keys_unsorted; uint64_t* point_list_keys; uint32_t* point_list_unsorted; uint32_t* point_list; char* list_sorting_space; static BinningState fromChunk(char*& chunk, size_t P); }; template size_t required(size_t P) { char* size = nullptr; T::fromChunk(size, P); return ((size_t)size) + 128; } };