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Vulkan-Samples/samples/general/mobile_nerf_rayquery/mobile_nerf_rayquery.cpp
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2025-09-04 10:54:47 +08:00

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51 KiB
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/* Copyright (c) 2023-2025, Qualcomm Innovation Center, Inc. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 the "License";
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "mobile_nerf_rayquery.h"
#include "filesystem/legacy.h"
#include "glm/gtx/matrix_decompose.hpp"
#include "gltf_loader.h"
#include "platform/platform.h"
#include "rendering/subpasses/forward_subpass.h"
#include "scene_graph/components/material.h"
#include "scene_graph/components/mesh.h"
#include "scene_graph/components/perspective_camera.h"
namespace
{
template <typename T>
struct CopyBuffer
{
std::vector<T> operator()(std::unordered_map<std::string, vkb::core::BufferC> &buffers, const char *buffer_name)
{
auto iter = buffers.find(buffer_name);
if (iter == buffers.cend())
{
return {};
}
auto &buffer = iter->second;
std::vector<T> out;
const size_t sz = buffer.get_size();
out.resize(sz / sizeof(T));
const bool already_mapped = buffer.get_data() != nullptr;
if (!already_mapped)
{
buffer.map();
}
memcpy(&out[0], buffer.get_data(), sz);
if (!already_mapped)
{
buffer.unmap();
}
return out;
}
};
} // namespace
void camera_set_look_at(vkb::Camera &camera, const glm::vec3 pos, const glm::vec3 look, const glm::vec3 up)
{
auto view_matrix = glm::lookAt(pos, look, up);
glm::vec3 scale;
glm::quat orientation;
glm::vec3 translation;
glm::vec3 skew;
glm::vec4 perspective;
glm::decompose(view_matrix, scale, orientation, translation, skew, perspective);
camera.set_rotation(glm::eulerAngles(orientation) * glm::pi<float>() / 180.f);
camera.set_translation(translation);
}
MobileNerfRayQuery::MobileNerfRayQuery()
{
title = "Mobile Nerf Ray Query";
set_api_version(VK_API_VERSION_1_1);
// Required by VK_KHR_acceleration_structure
add_device_extension(VK_KHR_ACCELERATION_STRUCTURE_EXTENSION_NAME);
add_device_extension(VK_KHR_BUFFER_DEVICE_ADDRESS_EXTENSION_NAME);
add_device_extension(VK_KHR_DEFERRED_HOST_OPERATIONS_EXTENSION_NAME);
add_device_extension(VK_EXT_DESCRIPTOR_INDEXING_EXTENSION_NAME);
// Required for ray queries
add_device_extension(VK_KHR_RAY_QUERY_EXTENSION_NAME);
// Required by VK_KHR_spirv_1_4
add_device_extension(VK_KHR_SPIRV_1_4_EXTENSION_NAME);
add_device_extension(VK_KHR_SHADER_FLOAT_CONTROLS_EXTENSION_NAME);
// Use this extension for better storage buffers layout
add_device_extension(VK_EXT_SCALAR_BLOCK_LAYOUT_EXTENSION_NAME);
}
MobileNerfRayQuery::~MobileNerfRayQuery()
{
if (has_device())
{
auto device_ptr = get_device().get_handle();
for (auto &model : models)
{
model.vertex_buffer.reset();
model.index_buffer.reset();
vkDestroySampler(get_device().get_handle(), model.texture_input_0.sampler, nullptr);
vkDestroySampler(get_device().get_handle(), model.texture_input_1.sampler, nullptr);
}
vkDestroyPipeline(device_ptr, pipeline, nullptr);
vkDestroyPipelineLayout(device_ptr, pipeline_layout, nullptr);
vkDestroyDescriptorSetLayout(device_ptr, descriptor_set_layout_common, nullptr);
vkDestroyDescriptorSetLayout(device_ptr, descriptor_set_layout_indices, nullptr);
vkDestroyDescriptorSetLayout(device_ptr, descriptor_set_layout_vertices, nullptr);
vkDestroyDescriptorSetLayout(device_ptr, descriptor_set_layout_feature1, nullptr);
vkDestroyDescriptorSetLayout(device_ptr, descriptor_set_layout_feature2, nullptr);
for (auto &weights_buffer : weights_buffers)
weights_buffer.reset();
uniform_buffer.reset();
}
}
bool MobileNerfRayQuery::prepare(const vkb::ApplicationOptions &options)
{
read_json_map();
// Load the mlp for each model
mlp_weight_vector.resize(num_models);
for (int i = 0; i < num_models; i++)
{
initialize_mlp_uniform_buffers(i);
}
if (!ApiVulkanSample::prepare(options))
{
return false;
}
load_shaders();
// Setup camera
camera.type = vkb::CameraType::LookAt;
camera_pos.y = -camera_pos.y;
camera_set_look_at(camera, camera_pos, glm::vec3(0.0f), glm::vec3(0.0f, 1.0f, 0.0f));
camera.set_perspective(60.0f, static_cast<float>(width) / static_cast<float>(height), 0.01f, 256.0f);
// Each models may have submodels
int models_entry = 0;
for (int model_index = 0; model_index < num_models; model_index++)
{
int num_sub_model = models[models_entry].sub_model_num;
for (int sub_model_index = 0; sub_model_index < num_sub_model; sub_model_index++)
{
load_scene(model_index, sub_model_index, models_entry);
create_texture(model_index, sub_model_index, models_entry);
create_static_object_buffers(models_entry);
create_bottom_level_acceleration_structure(models_entry);
models_entry++;
}
}
create_top_level_acceleration_structure();
create_uniforms();
create_pipeline_layout();
create_descriptor_pool();
create_descriptor_sets();
prepare_pipelines();
build_command_buffers();
prepared = true;
LOGI("Prepare Done!");
return true;
}
void MobileNerfRayQuery::request_gpu_features(vkb::PhysicalDevice &gpu)
{
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceBufferDeviceAddressFeaturesKHR, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_BUFFER_DEVICE_ADDRESS_FEATURES, bufferDeviceAddress);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceAccelerationStructureFeaturesKHR, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_ACCELERATION_STRUCTURE_FEATURES_KHR, accelerationStructure);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceRayQueryFeaturesKHR, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_RAY_QUERY_FEATURES_KHR, rayQuery);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceDescriptorIndexingFeaturesEXT, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_DESCRIPTOR_INDEXING_FEATURES_EXT, shaderUniformBufferArrayNonUniformIndexing);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceDescriptorIndexingFeaturesEXT, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_DESCRIPTOR_INDEXING_FEATURES_EXT, shaderSampledImageArrayNonUniformIndexing);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceDescriptorIndexingFeaturesEXT, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_DESCRIPTOR_INDEXING_FEATURES_EXT, shaderStorageBufferArrayNonUniformIndexing);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceDescriptorIndexingFeaturesEXT, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_DESCRIPTOR_INDEXING_FEATURES_EXT, runtimeDescriptorArray);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceDescriptorIndexingFeaturesEXT, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_DESCRIPTOR_INDEXING_FEATURES_EXT, descriptorBindingVariableDescriptorCount);
REQUEST_REQUIRED_FEATURE(gpu, VkPhysicalDeviceScalarBlockLayoutFeaturesEXT, VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_SCALAR_BLOCK_LAYOUT_FEATURES_EXT, scalarBlockLayout);
}
void MobileNerfRayQuery::render(float delta_time)
{
if (!prepared)
{
return;
}
draw();
update_uniform_buffer();
}
void MobileNerfRayQuery::read_json_map()
{
std::string assetBase = vkb::fs::path::get(vkb::fs::path::Type::Assets);
LOGI("Base assets path: {}", assetBase);
#if defined(NERF_JSON_FILE)
const std::string nerf_obj_map = assetBase + "scenes/mobile_nerf_models.json";
std::ifstream f(nerf_obj_map);
if (!f)
{
LOGE("Failed to open nerf obj map data");
assert(0);
}
LOGI("Parsing nerf obj map data {}", nerf_obj_map);
json raw_asset_map = json::parse(f);
#else
const std::string nerf_obj_json =
R"V0G0N(
{
"width": 0,
"height": 0,
"texture_type": "8bit",
"target_model": "lego_combo",
"rotation": false,
"lego_ball":{
"path": "scenes/morpheus_team/lego_ball_phone/",
"num_sub_model": 1,
"camera": [-1, 1, 1],
"instancing":{
"dim": [1, 1, 1],
"interval": [2.0, 2.0, 2.0]
}
},
"lego_boba_fett":{
"path": "scenes/morpheus_team/lego_boba_fett_phone/",
"num_sub_model": 1,
"camera": [-1, 1, 1],
"instancing":{
"dim": [1, 1, 1],
"interval": [2.0, 2.0, 2.0]
}
},
"lego_monster_truck":{
"path": "scenes/morpheus_team/lego_monster_truck_phone/",
"num_sub_model": 1,
"camera": [-1, 1, 1],
"instancing":{
"dim": [1, 1, 1],
"interval": [2.0, 2.0, 2.0]
}
},
"lego_tractor":{
"path": "scenes/morpheus_team/lego_tractor_phone/",
"num_sub_model": 1,
"camera": [-1, 1, 1],
"instancing":{
"dim": [1, 1, 1],
"interval": [2.0, 2.0, 2.0]
}
},
"lego_combo":{
"combo": true,
"models": ["scenes/morpheus_team/lego_ball_phone/", "scenes/morpheus_team/lego_boba_fett_phone/",
"scenes/morpheus_team/lego_monster_truck_phone/", "scenes/morpheus_team/lego_tractor_phone/"],
"camera": [-0.0381453, 1.84186, -1.51744],
"instancing":{
"dim": [2, 2, 2],
"interval": [1.5, 1.5, 1.5]
}
}
}
)V0G0N";
json raw_asset_map = json::parse(nerf_obj_json);
#endif
std::string target_model = raw_asset_map["target_model"].get<std::string>();
asset_map = raw_asset_map[target_model];
// Load combo models or a single model. In combo mode, we have multiple sets of weights.
if (!asset_map["combo"].is_null())
{
combo_mode = asset_map["combo"].get<bool>();
}
else
{
combo_mode = false;
}
if (combo_mode)
{
model_path.resize(asset_map["models"].size());
for (int i = 0; i < model_path.size(); i++)
{
model_path[i] = asset_map["models"][i].get<std::string>();
LOGI("Target model: {}, asset path: {}", target_model, model_path[i]);
}
}
else
{
model_path.resize(1);
model_path[0] = asset_map["path"].get<std::string>();
LOGI("Target model: {}, asset path: {}", target_model, model_path[0]);
}
num_models = static_cast<int>(model_path.size());
// Read Texture Format
std::string textureType = raw_asset_map["texture_type"].get<std::string>();
if (textureType == "8bit")
{
LOGI("Using VK_FORMAT_R8G8B8A8_UNORM for feature texture");
feature_map_format = VK_FORMAT_R8G8B8A8_UNORM;
}
else if (textureType == "16bit")
{
LOGI("Using VK_FORMAT_R16G16B16A16_SFLOAT for feature texture");
feature_map_format = VK_FORMAT_R16G16B16A16_SFLOAT;
}
else if (textureType == "32bit")
{
LOGI("Using VK_FORMAT_R32G32B32A32_SFLOAT for feature texture");
feature_map_format = VK_FORMAT_R32G32B32A32_SFLOAT;
}
else
{
LOGW("Unrecognized feature texture type, using VK_FORMAT_R32G32B32A32_SFLOAT");
feature_map_format = VK_FORMAT_R32G32B32A32_SFLOAT;
}
// Rotation mode
do_rotation = raw_asset_map["rotation"].get<bool>();
// Read view port size. Use default setting (1280x720) if size is 0.
view_port_width = raw_asset_map["width"].get<int>();
view_port_height = raw_asset_map["height"].get<int>();
if (view_port_width == 0 || view_port_height == 0)
{
view_port_width = width;
view_port_height = height;
use_native_screen_size = true;
}
// Read camera position
if (asset_map["camera"].is_array() && asset_map["camera"].size() == 3)
{
camera_pos = glm::vec3(asset_map["camera"][0].get<float>(), asset_map["camera"][1].get<float>(), asset_map["camera"][2].get<float>());
}
else
{
LOGW("Fail to read camera position. Use default value.");
}
// Read instancing rendering settings.
json instacing_map = asset_map["instancing"];
if (instacing_map["dim"].is_array() && instacing_map["dim"].size() == 3)
{
instancing_info.dim = glm::vec3(instacing_map["dim"][0].get<int>(), instacing_map["dim"][1].get<int>(), instacing_map["dim"][2].get<int>());
}
else
{
LOGE("Wrong instancing dimension. Terminating...");
exit(1);
}
if (instacing_map["interval"].is_array() && instacing_map["interval"].size() == 3)
{
instancing_info.interval = glm::vec3(instacing_map["interval"][0].get<float>(), instacing_map["interval"][1].get<float>(), instacing_map["interval"][2].get<float>());
}
else
{
LOGE("Wrong instancing interval. Terminating...");
exit(1);
}
if (instancing_info.dim.x <= 0 || instancing_info.dim.y <= 0 || instancing_info.dim.z <= 0 || instancing_info.interval.x <= 0.f || instancing_info.interval.y <= 0.f || instancing_info.interval.z <= 0.f)
{
LOGE("Instancing settings must be positive. Terminating...");
exit(1);
}
}
void MobileNerfRayQuery::initialize_mlp_uniform_buffers(int model_index)
{
std::string assetBase = vkb::fs::path::get(vkb::fs::path::Type::Assets);
std::string mlpJsonPath = assetBase + model_path[model_index] + "mlp.json";
using json = nlohmann::json;
std::ifstream f(mlpJsonPath);
if (!f)
{
LOGE("Failed to open mlp data");
assert(0);
}
LOGI("Parsing mlp data {}", mlpJsonPath);
json data = json::parse(f);
// Record a index of the first sub-model
const auto first_sub_model = models.size();
int obj_num = data["obj_num"].get<int>();
models.resize(models.size() + obj_num);
for (int i = first_sub_model; i < models.size(); i++)
{
models[i].model_index = model_index;
}
auto weights_0_array_raw = data["0_weights"].get<std::vector<std::vector<float>>>();
std::vector<float> weights_0_array;
for (auto ii = weights_0_array_raw.begin(); ii != weights_0_array_raw.end(); ii++)
{
weights_0_array.insert(weights_0_array.end(), (*ii).begin(), (*ii).end());
}
if (weights_0_array.size() != WEIGHTS_0_COUNT)
{
LOGE("MLP data layer 0 weights count is {}, rather than {}", weights_0_array.size(), WEIGHTS_0_COUNT);
}
auto bias_0_array = data["0_bias"].get<std::vector<float>>();
if (bias_0_array.size() != BIAS_0_COUNT)
{
LOGE("MLP data layer 0 bias count is {}, rather than {}", bias_0_array.size(), BIAS_0_COUNT);
}
auto weights_1_array_raw = data["1_weights"].get<std::vector<std::vector<float>>>();
std::vector<float> weights_1_array;
for (auto ii = weights_1_array_raw.begin(); ii != weights_1_array_raw.end(); ii++)
{
weights_1_array.insert(weights_1_array.end(), (*ii).begin(), (*ii).end());
}
if (weights_1_array.size() != WEIGHTS_1_COUNT)
{
LOGE("MLP data layer 1 weights count is {}, rather than {}", weights_1_array.size(), WEIGHTS_1_COUNT);
}
auto bias_1_array = data["1_bias"].get<std::vector<float>>();
if (bias_1_array.size() != BIAS_1_COUNT)
{
LOGE("MLP data layer 1 bias count is {}, rather than {}", bias_1_array.size(), BIAS_1_COUNT);
}
auto weights_2_array_raw = data["2_weights"].get<std::vector<std::vector<float>>>();
std::vector<float> weights_2_array;
for (auto ii = weights_2_array_raw.begin(); ii != weights_2_array_raw.end(); ii++)
{
weights_2_array.insert(weights_2_array.end(), (*ii).begin(), (*ii).end());
}
// We need to pad the layer 2's weights with 16 zeros
if (weights_2_array.size() != WEIGHTS_2_COUNT - 16)
{
LOGE("MLP data layer 2 weights count is {}, rather than {}", weights_2_array.size(), WEIGHTS_2_COUNT);
}
auto bias_2_array = data["2_bias"].get<std::vector<float>>();
if (bias_2_array.size() != BIAS_2_COUNT - 1)
{
LOGE("MLP data layer 2 bias count is {}, rather than {}", bias_2_array.size(), BIAS_2_COUNT);
}
// Each sub model will share the same mlp weights data
MLP_Weights &model_mlp = mlp_weight_vector[model_index];
for (int ii = 0; ii < WEIGHTS_0_COUNT; ii++)
{
model_mlp.data[ii] = weights_0_array[ii];
}
for (int ii = 0; ii < WEIGHTS_1_COUNT; ii++)
{
model_mlp.data[WEIGHTS_0_COUNT + ii] = weights_1_array[ii];
}
// We need to pad the layer 2's weights with zeros for every 3 weights to make it 16 bytes aligned
int raw_weight_cnt = 0;
for (int ii = 0; ii < WEIGHTS_2_COUNT; ii++)
{
if ((ii + 1) % 4 == 0)
{
model_mlp.data[WEIGHTS_0_COUNT + WEIGHTS_1_COUNT + ii] = 0.0f;
}
else
{
model_mlp.data[WEIGHTS_0_COUNT + WEIGHTS_1_COUNT + ii] = weights_2_array[raw_weight_cnt++];
}
}
for (int ii = 0; ii < BIAS_0_COUNT; ii++)
{
model_mlp.data[WEIGHTS_0_COUNT + WEIGHTS_1_COUNT + WEIGHTS_2_COUNT + ii] = bias_0_array[ii];
}
for (int ii = 0; ii < BIAS_1_COUNT; ii++)
{
model_mlp.data[WEIGHTS_0_COUNT + WEIGHTS_1_COUNT + WEIGHTS_2_COUNT +
BIAS_0_COUNT + ii] = bias_1_array[ii];
}
// We need to pad the layer 2's bias with zeros for every 3 weights to make it 16 bytes aligned
for (int ii = 0; ii < BIAS_2_COUNT; ii++)
{
if ((ii + 1) % 4 == 0)
{
model_mlp.data[WEIGHTS_0_COUNT + WEIGHTS_1_COUNT + WEIGHTS_2_COUNT +
BIAS_0_COUNT + BIAS_1_COUNT + ii] = 0.0f;
}
else
{
model_mlp.data[WEIGHTS_0_COUNT + WEIGHTS_1_COUNT + WEIGHTS_2_COUNT +
BIAS_0_COUNT + BIAS_1_COUNT + ii] = bias_2_array[ii];
}
}
// Update all sub model with the same mlp weight
for (int i = 0; i < obj_num; i++)
{
models[first_sub_model + i].sub_model_num = obj_num;
}
}
void MobileNerfRayQuery::load_shaders()
{
shader_stages[0] = load_shader("mobile_nerf_rayquery/quad.vert.spv", VK_SHADER_STAGE_VERTEX_BIT);
shader_stages[1] = load_shader(
combo_mode ?
"mobile_nerf_rayquery/rayquery_morpheus_combo.frag.spv" :
"mobile_nerf_rayquery/rayquery_morpheus.frag.spv",
VK_SHADER_STAGE_FRAGMENT_BIT);
}
void MobileNerfRayQuery::load_scene(int model_index, int sub_model_index, int models_entry)
{
Model &model = models[models_entry];
vkb::GLTFLoader loader{get_device()};
int total_sub_sub_model = 1;
for (int sub_model = 0; sub_model < total_sub_sub_model; sub_model++)
{
std::string inputfile(model_path[model_index] + "shape" + std::to_string(sub_model_index));
if (total_sub_sub_model > 1)
{
inputfile += ("_" + std::to_string(sub_model) + ".gltf");
}
else
{
inputfile += (".gltf");
}
LOGI("Parsing nerf obj {}", inputfile);
auto scene = loader.read_scene_from_file(inputfile);
for (auto &&mesh : scene->get_components<vkb::sg::Mesh>())
{
for (auto &&sub_mesh : mesh->get_submeshes())
{
auto pts_ = CopyBuffer<glm::vec3>{}(sub_mesh->vertex_buffers, "position");
const auto texcoord_ = CopyBuffer<glm::vec2>{}(sub_mesh->vertex_buffers, "texcoord_0");
const auto vertex_start_index = static_cast<uint32_t>(model.vertices.size());
// Copy vertex data
{
model.vertices.resize(vertex_start_index + pts_.size());
for (size_t i = 0; i < pts_.size(); ++i)
{
model.vertices[vertex_start_index + i].position = pts_[i];
model.vertices[vertex_start_index + i].position.y *= -1.0f;
model.vertices[vertex_start_index + i].tex_coord = glm::vec2(texcoord_[i].x, 1.0f - texcoord_[i].y);
}
}
// Copy index data
{
auto index_buffer_ = sub_mesh->index_buffer.get();
if (index_buffer_)
{
assert(sub_mesh->index_type == VkIndexType::VK_INDEX_TYPE_UINT32);
const size_t sz = index_buffer_->get_size();
const size_t nTriangles = sz / sizeof(uint32_t) / 3;
const auto triangle_start_index = static_cast<uint32_t>(model.indices.size());
model.indices.resize(triangle_start_index + nTriangles);
auto ptr = index_buffer_->get_data();
assert(!!ptr);
std::vector<uint32_t> tempBuffer(nTriangles * 3);
memcpy(&tempBuffer[0], ptr, sz);
for (size_t i = 0; i < nTriangles; ++i)
{
model.indices[triangle_start_index + i] = {vertex_start_index + static_cast<uint32_t>(tempBuffer[3 * i]),
vertex_start_index + static_cast<uint32_t>(tempBuffer[3 * i + 1]),
vertex_start_index + static_cast<uint32_t>(tempBuffer[3 * i + 2])};
}
}
}
}
}
}
}
void MobileNerfRayQuery::create_texture(int model_index, int sub_model_index, int models_entry)
{
std::string feature_0_path = model_path[model_index] + "shape" + std::to_string(sub_model_index) + ".pngfeat0.png";
std::string feature_1_path = model_path[model_index] + "shape" + std::to_string(sub_model_index) + ".pngfeat1.png";
LOGI("Creating feature texture 0");
create_texture_helper(feature_0_path, models[models_entry].texture_input_0);
LOGI("Done Creating feature texture 0");
LOGI("Creating feature texture 1");
create_texture_helper(feature_1_path, models[models_entry].texture_input_1);
LOGI("Done Creating feature texture 0");
}
void MobileNerfRayQuery::create_texture_helper(std::string const &texturePath, Texture &texture_input)
{
// Feature textures are in linear space instead of sRGB space
texture_input = load_texture(texturePath, vkb::sg::Image::Other);
vkDestroySampler(get_device().get_handle(), texture_input.sampler, nullptr);
// Calculate valid filter
VkFilter filter = VK_FILTER_LINEAR;
vkb::make_filters_valid(get_device().get_gpu().get_handle(), texture_input.image->get_format(), &filter);
VkSamplerCreateInfo samplerCreateInfo = {};
samplerCreateInfo.sType = VK_STRUCTURE_TYPE_SAMPLER_CREATE_INFO;
samplerCreateInfo.magFilter = filter;
samplerCreateInfo.minFilter = filter;
samplerCreateInfo.mipmapMode = VK_SAMPLER_MIPMAP_MODE_NEAREST;
samplerCreateInfo.addressModeU = VK_SAMPLER_ADDRESS_MODE_CLAMP_TO_EDGE;
samplerCreateInfo.addressModeV = VK_SAMPLER_ADDRESS_MODE_CLAMP_TO_EDGE;
samplerCreateInfo.addressModeW = VK_SAMPLER_ADDRESS_MODE_CLAMP_TO_EDGE;
samplerCreateInfo.minLod = 0.0f;
samplerCreateInfo.maxLod = 16.0f;
samplerCreateInfo.unnormalizedCoordinates = VK_FALSE;
VK_CHECK(vkCreateSampler(get_device().get_handle(), &samplerCreateInfo, 0, &texture_input.sampler));
}
void MobileNerfRayQuery::create_static_object_buffers(int models_entry)
{
LOGI("Creating static object buffers");
Model &model = models[models_entry];
auto vertex_buffer_size = model.vertices.size() * sizeof(Vertex);
auto index_buffer_size = model.indices.size() * sizeof(model.indices[0]);
// Note that in contrast to a typical pipeline, our vertex/index buffer requires the acceleration structure build flag in rayquery
// Create a staging buffer
const VkBufferUsageFlags buffer_usage_flags = VK_BUFFER_USAGE_ACCELERATION_STRUCTURE_BUILD_INPUT_READ_ONLY_BIT_KHR | VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT | VK_BUFFER_USAGE_STORAGE_BUFFER_BIT;
const VkBufferUsageFlags staging_flags = VK_BUFFER_USAGE_TRANSFER_SRC_BIT;
// Create destination buffers
model.vertex_buffer = std::make_unique<vkb::core::BufferC>(
get_device(),
vertex_buffer_size,
buffer_usage_flags | VK_BUFFER_USAGE_TRANSFER_DST_BIT,
VMA_MEMORY_USAGE_GPU_ONLY);
model.vertex_buffer->set_debug_name(fmt::format("Model #{} vertices", models_entry));
model.index_buffer = std::make_unique<vkb::core::BufferC>(
get_device(),
index_buffer_size,
buffer_usage_flags | VK_BUFFER_USAGE_TRANSFER_DST_BIT,
VMA_MEMORY_USAGE_GPU_ONLY);
model.index_buffer->set_debug_name(fmt::format("Model #{} indices", models_entry));
// Create staging buffers
std::unique_ptr<vkb::core::BufferC> staging_vertex_buffer = std::make_unique<vkb::core::BufferC>(
get_device(),
vertex_buffer_size,
staging_flags,
VMA_MEMORY_USAGE_CPU_TO_GPU);
staging_vertex_buffer->update(model.vertices);
std::unique_ptr<vkb::core::BufferC> staging_index_buffer = std::make_unique<vkb::core::BufferC>(
get_device(),
index_buffer_size,
staging_flags,
VMA_MEMORY_USAGE_CPU_TO_GPU);
staging_index_buffer->update(model.indices);
// Copy over the data for each of the models
with_vkb_command_buffer([&](vkb::core::CommandBufferC &cmd) {
cmd.copy_buffer(*staging_vertex_buffer, *model.vertex_buffer, staging_vertex_buffer->get_size());
cmd.copy_buffer(*staging_index_buffer, *model.index_buffer, staging_index_buffer->get_size());
});
LOGI("Done Creating static object buffers");
}
void MobileNerfRayQuery::create_uniforms()
{
weights_buffers.resize(num_models);
LOGI("Creating camera view uniform buffer");
uniform_buffer = std::make_unique<vkb::core::BufferC>(get_device(),
sizeof(global_uniform),
VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT | VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT,
VMA_MEMORY_USAGE_CPU_TO_GPU);
for (int i = 0; i < num_models; i++)
{
LOGI("Creating mlp weights uniform buffer for model {}", i);
weights_buffers[i] = std::make_unique<vkb::core::BufferC>(get_device(),
sizeof(MLP_Weights),
VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT | VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT,
VMA_MEMORY_USAGE_CPU_TO_GPU);
}
update_uniform_buffer();
update_weights_buffers();
}
void MobileNerfRayQuery::update_uniform_buffer()
{
assert(uniform_buffer);
camera.set_perspective(fov, static_cast<float>(width) / static_cast<float>(height), 0.01f, 200.0f);
const float tan_half_fov = tan(0.5 * fov / 180.0f * 3.141592653589793f);
global_uniform.view_inverse = glm::inverse(camera.matrices.view);
global_uniform.proj_inverse = glm::inverse(camera.matrices.perspective);
global_uniform.img_dim = glm::vec2(width, height);
global_uniform.tan_half_fov = tan_half_fov;
uniform_buffer->update(&global_uniform, sizeof(GlobalUniform));
}
// No need to be updated for every frames
void MobileNerfRayQuery::update_weights_buffers()
{
for (int i = 0; i < num_models; i++)
{
weights_buffers[i]->update(&(mlp_weight_vector[i].data[0]), sizeof(MLP_Weights));
}
}
uint64_t MobileNerfRayQuery::get_buffer_device_address(VkBuffer buffer)
{
VkBufferDeviceAddressInfoKHR buffer_device_address_info{};
buffer_device_address_info.sType = VK_STRUCTURE_TYPE_BUFFER_DEVICE_ADDRESS_INFO;
buffer_device_address_info.buffer = buffer;
return vkGetBufferDeviceAddressKHR(get_device().get_handle(), &buffer_device_address_info);
}
void MobileNerfRayQuery::create_top_level_acceleration_structure()
{
std::vector<VkAccelerationStructureInstanceKHR> acceleration_structure_instances;
auto add_instance = [&](Model &model, const VkTransformMatrixKHR &transform_matrix, uint32_t instance_index) {
VkAccelerationStructureInstanceKHR acceleration_structure_instance{};
acceleration_structure_instance.transform = transform_matrix;
acceleration_structure_instance.instanceCustomIndex = instance_index; // this is the model index instead of the instance index in instancing rendering.
// need this to index correct weights and vertex & index buffer in shader.
acceleration_structure_instance.mask = 0xFF;
acceleration_structure_instance.instanceShaderBindingTableRecordOffset = 0;
acceleration_structure_instance.flags = VK_GEOMETRY_INSTANCE_TRIANGLE_FACING_CULL_DISABLE_BIT_KHR;
acceleration_structure_instance.accelerationStructureReference = model.bottom_level_acceleration_structure->get_device_address();
acceleration_structure_instances.emplace_back(acceleration_structure_instance);
};
auto &ii = instancing_info;
glm::vec3 offset;
glm::vec3 corner_pos = -ii.interval * 0.5f * (glm::vec3(ii.dim - 1));
for (int x = 0; x < ii.dim.x; ++x)
{
offset.x = corner_pos.x + ii.interval.x * x;
for (int y = 0; y < ii.dim.y; ++y)
{
offset.y = corner_pos.y + ii.interval.y * y;
for (int z = 0; z < ii.dim.z; ++z)
{
offset.z = corner_pos.z + ii.interval.z * z;
VkTransformMatrixKHR transform_matrix = {
1.0f,
0.0f,
0.0f,
offset.x,
0.0f,
1.0f,
0.0f,
offset.y,
0.0f,
0.0f,
1.0f,
offset.z,
};
for (size_t i = 0; i < models.size(); ++i)
{
add_instance(models[i], transform_matrix, i);
}
}
}
}
LOGI("model num: {}", models.size());
const size_t instancesDataSize = sizeof(VkAccelerationStructureInstanceKHR) * acceleration_structure_instances.size();
std::unique_ptr<vkb::core::BufferC> instances_buffer = std::make_unique<vkb::core::BufferC>(get_device(),
instancesDataSize,
VK_BUFFER_USAGE_ACCELERATION_STRUCTURE_BUILD_INPUT_READ_ONLY_BIT_KHR | VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT,
VMA_MEMORY_USAGE_CPU_TO_GPU);
instances_buffer->update(acceleration_structure_instances.data(), instancesDataSize);
top_level_acceleration_structure = std::make_unique<vkb::core::AccelerationStructure>(get_device(), VK_ACCELERATION_STRUCTURE_TYPE_TOP_LEVEL_KHR);
top_level_acceleration_structure->add_instance_geometry(instances_buffer, acceleration_structure_instances.size());
top_level_acceleration_structure->build(queue);
}
void MobileNerfRayQuery::create_bottom_level_acceleration_structure(int model_entry)
{
Model &model = models[model_entry];
// Create buffers for the bottom level geometry
// Note that the buffer usage flags for buffers consumed by the bottom level acceleration structure require special flags
const VkBufferUsageFlags buffer_usage_flags = VK_BUFFER_USAGE_ACCELERATION_STRUCTURE_BUILD_INPUT_READ_ONLY_BIT_KHR | VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT;
// Set up a single transformation matrix that can be used to transform the whole geometry for a single bottom level acceleration structure
VkTransformMatrixKHR transform_matrix = {
1.0f, 0.0f, 0.0f, 0.0f,
0.0f, 1.0f, 0.0f, 0.0f,
0.0f, 0.0f, 1.0f, 0.0f};
if (combo_mode)
{
// Use hard-coded transformation under combo mode
glm::mat4x4 &M = combo_model_transform[model_entry];
transform_matrix = {
M[0][0], M[1][0], M[2][0], M[3][0],
M[0][1], M[1][1], M[2][1], -M[3][1],
M[0][2], M[1][2], M[2][2], M[3][2]};
}
std::unique_ptr<vkb::core::BufferC> transform_matrix_buffer = std::make_unique<vkb::core::BufferC>(get_device(), sizeof(transform_matrix), buffer_usage_flags, VMA_MEMORY_USAGE_CPU_TO_GPU);
transform_matrix_buffer->update(&transform_matrix, sizeof(transform_matrix));
if (model.bottom_level_acceleration_structure == nullptr)
{
model.bottom_level_acceleration_structure = std::make_unique<vkb::core::AccelerationStructure>(
get_device(), VK_ACCELERATION_STRUCTURE_TYPE_BOTTOM_LEVEL_KHR);
model.bottom_level_acceleration_structure->add_triangle_geometry(
*model.vertex_buffer,
*model.index_buffer,
*transform_matrix_buffer,
model.indices.size(),
model.vertices.size(),
sizeof(Vertex),
0, VK_FORMAT_R32G32B32_SFLOAT, VK_INDEX_TYPE_UINT32, VK_GEOMETRY_OPAQUE_BIT_KHR,
get_buffer_device_address(model.vertex_buffer->get_handle()),
get_buffer_device_address(model.index_buffer->get_handle()));
}
model.bottom_level_acceleration_structure->build(queue, VK_BUILD_ACCELERATION_STRUCTURE_PREFER_FAST_TRACE_BIT_KHR, VK_BUILD_ACCELERATION_STRUCTURE_MODE_BUILD_KHR);
}
void MobileNerfRayQuery::create_pipeline_layout()
{
// Use multiple descriptor sets due to the limitation of using variable size resource array
// see https://registry.khronos.org/vulkan/specs/1.3-extensions/man/html/VK_EXT_descriptor_indexing.html
std::vector<VkDescriptorSetLayoutBinding> set_layout_bindings_common = {
vkb::initializers::descriptor_set_layout_binding(VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, VK_SHADER_STAGE_FRAGMENT_BIT, 0),
vkb::initializers::descriptor_set_layout_binding(VK_DESCRIPTOR_TYPE_ACCELERATION_STRUCTURE_KHR, VK_SHADER_STAGE_FRAGMENT_BIT, 1),
};
// Add an array of weights sets into shader
if (combo_mode)
{
set_layout_bindings_common.push_back(vkb::initializers::descriptor_set_layout_binding(
VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, VK_SHADER_STAGE_FRAGMENT_BIT, 2, num_models));
}
else
{
set_layout_bindings_common.push_back(vkb::initializers::descriptor_set_layout_binding(
VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, VK_SHADER_STAGE_FRAGMENT_BIT, 2));
}
VkDescriptorSetLayoutCreateInfo descriptor_layout_bounded = vkb::initializers::descriptor_set_layout_create_info(set_layout_bindings_common.data(), static_cast<uint32_t>(set_layout_bindings_common.size()));
if (combo_mode)
{
VkDescriptorBindingFlagsEXT flags[3] = {0, 0, VK_DESCRIPTOR_BINDING_VARIABLE_DESCRIPTOR_COUNT_BIT_EXT};
VkDescriptorSetLayoutBindingFlagsCreateInfoEXT setLayoutBindingFlags{};
setLayoutBindingFlags.sType = VK_STRUCTURE_TYPE_DESCRIPTOR_SET_LAYOUT_BINDING_FLAGS_CREATE_INFO_EXT;
setLayoutBindingFlags.bindingCount = 3;
setLayoutBindingFlags.pBindingFlags = flags;
descriptor_layout_bounded.pNext = &setLayoutBindingFlags;
VK_CHECK(vkCreateDescriptorSetLayout(get_device().get_handle(), &descriptor_layout_bounded, nullptr, &descriptor_set_layout_common));
}
else
{
VK_CHECK(vkCreateDescriptorSetLayout(get_device().get_handle(), &descriptor_layout_bounded, nullptr, &descriptor_set_layout_common));
}
auto create_unbounded_descriptor_set_layout = [&](VkDescriptorSetLayout &layout_handle, VkDescriptorSetLayoutBinding &binding) {
VkDescriptorSetLayoutBindingFlagsCreateInfoEXT setLayoutBindingFlags{};
setLayoutBindingFlags.sType = VK_STRUCTURE_TYPE_DESCRIPTOR_SET_LAYOUT_BINDING_FLAGS_CREATE_INFO_EXT;
setLayoutBindingFlags.bindingCount = 1;
VkDescriptorBindingFlagsEXT descriptorBindingFlags = VK_DESCRIPTOR_BINDING_VARIABLE_DESCRIPTOR_COUNT_BIT_EXT;
setLayoutBindingFlags.pBindingFlags = &descriptorBindingFlags;
VkDescriptorSetLayoutCreateInfo descriptor_layout = vkb::initializers::descriptor_set_layout_create_info(&binding, 1);
descriptor_layout.pNext = &setLayoutBindingFlags;
VK_CHECK(vkCreateDescriptorSetLayout(get_device().get_handle(), &descriptor_layout, nullptr, &layout_handle));
};
VkDescriptorSetLayoutBinding set_layout_binding_vertices = vkb::initializers::descriptor_set_layout_binding(VK_DESCRIPTOR_TYPE_STORAGE_BUFFER, VK_SHADER_STAGE_FRAGMENT_BIT, 0, models.size());
create_unbounded_descriptor_set_layout(descriptor_set_layout_vertices, set_layout_binding_vertices);
VkDescriptorSetLayoutBinding set_layout_binding_indices = vkb::initializers::descriptor_set_layout_binding(VK_DESCRIPTOR_TYPE_STORAGE_BUFFER, VK_SHADER_STAGE_FRAGMENT_BIT, 0, models.size());
create_unbounded_descriptor_set_layout(descriptor_set_layout_indices, set_layout_binding_indices);
VkDescriptorSetLayoutBinding set_layout_binding_feature1 = vkb::initializers::descriptor_set_layout_binding(VK_DESCRIPTOR_TYPE_COMBINED_IMAGE_SAMPLER, VK_SHADER_STAGE_FRAGMENT_BIT, 0, models.size());
create_unbounded_descriptor_set_layout(descriptor_set_layout_feature1, set_layout_binding_feature1);
VkDescriptorSetLayoutBinding set_layout_binding_feature2 = vkb::initializers::descriptor_set_layout_binding(VK_DESCRIPTOR_TYPE_COMBINED_IMAGE_SAMPLER, VK_SHADER_STAGE_FRAGMENT_BIT, 0, models.size());
create_unbounded_descriptor_set_layout(descriptor_set_layout_feature2, set_layout_binding_feature2);
std::vector<VkDescriptorSetLayout> descriptor_set_layouts = {
descriptor_set_layout_common,
descriptor_set_layout_vertices,
descriptor_set_layout_indices,
descriptor_set_layout_feature1,
descriptor_set_layout_feature2};
VkPipelineLayoutCreateInfo pipeline_layout_create_info =
vkb::initializers::pipeline_layout_create_info(
descriptor_set_layouts.data(),
static_cast<uint32_t>(descriptor_set_layouts.size()));
VK_CHECK(vkCreatePipelineLayout(get_device().get_handle(), &pipeline_layout_create_info, nullptr, &pipeline_layout));
}
void MobileNerfRayQuery::create_descriptor_pool()
{
std::vector<VkDescriptorPoolSize> pool_sizes = {
{VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, 1 * static_cast<uint32_t>(framebuffers.size())},
{VK_DESCRIPTOR_TYPE_ACCELERATION_STRUCTURE_KHR, 1 * static_cast<uint32_t>(framebuffers.size())},
{VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, 1 * static_cast<uint32_t>(framebuffers.size()) * static_cast<uint32_t>(num_models)},
{VK_DESCRIPTOR_TYPE_STORAGE_BUFFER, 2 * static_cast<uint32_t>(models.size()) * static_cast<uint32_t>(framebuffers.size())},
{VK_DESCRIPTOR_TYPE_COMBINED_IMAGE_SAMPLER, 2 * static_cast<uint32_t>(models.size()) * static_cast<uint32_t>(framebuffers.size())}};
VkDescriptorPoolCreateInfo descriptor_pool_create_info = vkb::initializers::descriptor_pool_create_info(pool_sizes, 5 * static_cast<uint32_t>(framebuffers.size()));
VK_CHECK(vkCreateDescriptorPool(get_device().get_handle(), &descriptor_pool_create_info, nullptr, &descriptor_pool));
}
void MobileNerfRayQuery::create_descriptor_sets()
{
const auto numDescriptorPerModel = framebuffers.size();
descriptor_set_common.resize(numDescriptorPerModel);
descriptor_set_vertices.resize(numDescriptorPerModel);
descriptor_set_indices.resize(numDescriptorPerModel);
descriptor_set_feature1.resize(numDescriptorPerModel);
descriptor_set_feature2.resize(numDescriptorPerModel);
auto allocate_unbounded_descriptor_set = [&](VkDescriptorSetLayout &descriptor_set_layout, VkDescriptorSet &descriptor_set) {
uint32_t counts[1];
counts[0] = static_cast<uint32_t>(models.size());
VkDescriptorSetVariableDescriptorCountAllocateInfo set_counts = {};
set_counts.sType = VK_STRUCTURE_TYPE_DESCRIPTOR_SET_VARIABLE_DESCRIPTOR_COUNT_ALLOCATE_INFO;
set_counts.descriptorSetCount = 1;
set_counts.pDescriptorCounts = counts;
VkDescriptorSetAllocateInfo descriptor_set_allocate_info =
vkb::initializers::descriptor_set_allocate_info(descriptor_pool, &descriptor_set_layout, 1);
descriptor_set_allocate_info.pNext = &set_counts;
VK_CHECK(vkAllocateDescriptorSets(get_device().get_handle(), &descriptor_set_allocate_info, &descriptor_set));
};
for (int i = 0; i < numDescriptorPerModel; i++)
{
if (combo_mode)
{
allocate_unbounded_descriptor_set(descriptor_set_layout_common, descriptor_set_common[i]);
}
else
{
VkDescriptorSetAllocateInfo descriptor_set_allocate_info_common =
vkb::initializers::descriptor_set_allocate_info(descriptor_pool, &descriptor_set_layout_common, 1);
VK_CHECK(vkAllocateDescriptorSets(get_device().get_handle(), &descriptor_set_allocate_info_common, &descriptor_set_common[i]));
}
allocate_unbounded_descriptor_set(descriptor_set_layout_vertices, descriptor_set_vertices[i]);
allocate_unbounded_descriptor_set(descriptor_set_layout_indices, descriptor_set_indices[i]);
allocate_unbounded_descriptor_set(descriptor_set_layout_feature1, descriptor_set_feature1[i]);
allocate_unbounded_descriptor_set(descriptor_set_layout_feature2, descriptor_set_feature2[i]);
uint32_t num_total_submodels = static_cast<uint32_t>(models.size());
VkDescriptorBufferInfo uniform_buffer_descriptor = create_descriptor(*uniform_buffer);
std::vector<VkDescriptorBufferInfo> vertex_buffer_descriptors;
vertex_buffer_descriptors.reserve(num_total_submodels);
std::vector<VkDescriptorBufferInfo> index_buffer_descriptors;
index_buffer_descriptors.reserve(num_total_submodels);
std::vector<VkDescriptorImageInfo> texture_input_1_descriptors;
texture_input_1_descriptors.reserve(num_total_submodels);
std::vector<VkDescriptorImageInfo> texture_input_2_descriptors;
texture_input_2_descriptors.reserve(num_total_submodels);
for (Model &model : models)
{
vertex_buffer_descriptors.emplace_back(create_descriptor(*model.vertex_buffer));
index_buffer_descriptors.emplace_back(create_descriptor(*model.index_buffer));
VkDescriptorImageInfo texture_input_1_descriptor{};
texture_input_1_descriptor.sampler = model.texture_input_0.sampler;
texture_input_1_descriptor.imageView = model.texture_input_0.image->get_vk_image_view().get_handle();
texture_input_1_descriptor.imageLayout = VK_IMAGE_LAYOUT_SHADER_READ_ONLY_OPTIMAL;
texture_input_1_descriptors.emplace_back(texture_input_1_descriptor);
VkDescriptorImageInfo texture_input_2_descriptor{};
texture_input_2_descriptor.sampler = model.texture_input_1.sampler;
texture_input_2_descriptor.imageView = model.texture_input_1.image->get_vk_image_view().get_handle();
texture_input_2_descriptor.imageLayout = VK_IMAGE_LAYOUT_SHADER_READ_ONLY_OPTIMAL;
texture_input_2_descriptors.emplace_back(texture_input_2_descriptor);
}
VkWriteDescriptorSet uniform_buffer_write = vkb::initializers::write_descriptor_set(descriptor_set_common[i],
VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, 0, &uniform_buffer_descriptor);
VkWriteDescriptorSet vertex_buffer_write = vkb::initializers::write_descriptor_set(descriptor_set_vertices[i],
VK_DESCRIPTOR_TYPE_STORAGE_BUFFER, 0, vertex_buffer_descriptors.data(), static_cast<uint32_t>(vertex_buffer_descriptors.size()));
VkWriteDescriptorSet index_buffer_write = vkb::initializers::write_descriptor_set(descriptor_set_indices[i],
VK_DESCRIPTOR_TYPE_STORAGE_BUFFER, 0, index_buffer_descriptors.data(), static_cast<uint32_t>(index_buffer_descriptors.size()));
VkWriteDescriptorSet texture_input_write_0 = vkb::initializers::write_descriptor_set(descriptor_set_feature1[i],
VK_DESCRIPTOR_TYPE_COMBINED_IMAGE_SAMPLER, 0, texture_input_1_descriptors.data(), static_cast<uint32_t>(texture_input_1_descriptors.size()));
VkWriteDescriptorSet texture_input_write_1 = vkb::initializers::write_descriptor_set(descriptor_set_feature2[i],
VK_DESCRIPTOR_TYPE_COMBINED_IMAGE_SAMPLER, 0, texture_input_2_descriptors.data(), static_cast<uint32_t>(texture_input_2_descriptors.size()));
// Set up the descriptor for binding our top level acceleration structure to the ray tracing shaders
VkWriteDescriptorSetAccelerationStructureKHR descriptor_acceleration_structure_info{};
descriptor_acceleration_structure_info.sType = VK_STRUCTURE_TYPE_WRITE_DESCRIPTOR_SET_ACCELERATION_STRUCTURE_KHR;
descriptor_acceleration_structure_info.accelerationStructureCount = 1;
auto rhs = top_level_acceleration_structure->get_handle();
descriptor_acceleration_structure_info.pAccelerationStructures = &rhs;
VkWriteDescriptorSet acceleration_structure_write{};
acceleration_structure_write.sType = VK_STRUCTURE_TYPE_WRITE_DESCRIPTOR_SET;
acceleration_structure_write.dstSet = descriptor_set_common[i];
acceleration_structure_write.dstBinding = 1;
acceleration_structure_write.descriptorCount = 1;
acceleration_structure_write.descriptorType = VK_DESCRIPTOR_TYPE_ACCELERATION_STRUCTURE_KHR;
// The acceleration structure descriptor has to be chained via pNext
acceleration_structure_write.pNext = &descriptor_acceleration_structure_info;
std::vector<VkWriteDescriptorSet> write_descriptor_sets;
VkWriteDescriptorSet weights_buffer_write;
std::vector<VkDescriptorBufferInfo> weights_buffer_descriptors;
VkDescriptorBufferInfo weights_buffer_descriptor;
if (combo_mode)
{
weights_buffer_descriptors.reserve(mlp_weight_vector.size());
for (auto &weight_buffer : weights_buffers)
{
weights_buffer_descriptors.emplace_back(create_descriptor(*weight_buffer));
}
weights_buffer_write = vkb::initializers::write_descriptor_set(descriptor_set_common[i],
VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, 2, weights_buffer_descriptors.data(), static_cast<uint32_t>(weights_buffer_descriptors.size()));
}
else
{
weights_buffer_descriptor = create_descriptor(*weights_buffers[0]);
weights_buffer_write = vkb::initializers::write_descriptor_set(descriptor_set_common[i],
VK_DESCRIPTOR_TYPE_UNIFORM_BUFFER, 2, &weights_buffer_descriptor);
}
write_descriptor_sets = std::vector<VkWriteDescriptorSet>{
uniform_buffer_write,
acceleration_structure_write,
weights_buffer_write,
vertex_buffer_write,
index_buffer_write,
texture_input_write_0,
texture_input_write_1};
vkUpdateDescriptorSets(get_device().get_handle(), static_cast<uint32_t>(write_descriptor_sets.size()), write_descriptor_sets.data(), 0, VK_NULL_HANDLE);
}
}
void MobileNerfRayQuery::prepare_pipelines()
{
VkPipelineInputAssemblyStateCreateInfo input_assembly_state = vkb::initializers::pipeline_input_assembly_state_create_info(VK_PRIMITIVE_TOPOLOGY_TRIANGLE_LIST, 0, VK_FALSE);
VkPipelineRasterizationStateCreateInfo rasterization_state = vkb::initializers::pipeline_rasterization_state_create_info(VK_POLYGON_MODE_FILL, /*VK_CULL_MODE_BACK_BIT*/ VK_CULL_MODE_NONE, VK_FRONT_FACE_COUNTER_CLOCKWISE /*VK_FRONT_FACE_CLOCKWISE*/, 0);
std::vector<VkPipelineColorBlendAttachmentState> blend_attachment_states;
blend_attachment_states.push_back(vkb::initializers::pipeline_color_blend_attachment_state(0xf, VK_FALSE));
VkPipelineColorBlendStateCreateInfo color_blend_state = vkb::initializers::pipeline_color_blend_state_create_info(static_cast<uint32_t>(blend_attachment_states.size()), blend_attachment_states.data());
VkPipelineDepthStencilStateCreateInfo depth_stencil_state = vkb::initializers::pipeline_depth_stencil_state_create_info(VK_TRUE, VK_TRUE, VK_COMPARE_OP_LESS);
depth_stencil_state.depthBoundsTestEnable = VK_FALSE;
depth_stencil_state.minDepthBounds = 0.f;
depth_stencil_state.maxDepthBounds = 1.f;
VkPipelineViewportStateCreateInfo viewport_state = vkb::initializers::pipeline_viewport_state_create_info(1, 1, 0);
std::vector<VkDynamicState> dynamic_state_enables = {
VK_DYNAMIC_STATE_VIEWPORT,
VK_DYNAMIC_STATE_SCISSOR};
VkPipelineDynamicStateCreateInfo dynamic_state =
vkb::initializers::pipeline_dynamic_state_create_info(
dynamic_state_enables.data(),
static_cast<uint32_t>(dynamic_state_enables.size()),
0);
VkPipelineMultisampleStateCreateInfo multisample_state = vkb::initializers::pipeline_multisample_state_create_info(VK_SAMPLE_COUNT_1_BIT, 0);
// No need for Vertex bindings and attributes
VkPipelineVertexInputStateCreateInfo vertex_input_state{};
vertex_input_state.sType = VK_STRUCTURE_TYPE_PIPELINE_VERTEX_INPUT_STATE_CREATE_INFO;
VkGraphicsPipelineCreateInfo pipeline_create_info = vkb::initializers::pipeline_create_info(pipeline_layout, render_pass, 0);
pipeline_create_info.pVertexInputState = &vertex_input_state;
pipeline_create_info.pInputAssemblyState = &input_assembly_state;
pipeline_create_info.pRasterizationState = &rasterization_state;
pipeline_create_info.pColorBlendState = &color_blend_state;
pipeline_create_info.pMultisampleState = &multisample_state;
pipeline_create_info.pViewportState = &viewport_state;
pipeline_create_info.pDepthStencilState = &depth_stencil_state;
pipeline_create_info.pDynamicState = &dynamic_state;
pipeline_create_info.subpass = 0;
pipeline_create_info.stageCount = static_cast<uint32_t>(shader_stages.size());
pipeline_create_info.pStages = shader_stages.data();
// Only need one pipeline in rayquery
VK_CHECK(vkCreateGraphicsPipelines(get_device().get_handle(), pipeline_cache, 1, &pipeline_create_info, nullptr, &pipeline));
}
void MobileNerfRayQuery::build_command_buffers()
{
if (use_native_screen_size)
{
view_port_height = height;
view_port_width = width;
}
VkCommandBufferBeginInfo command_buffer_begin_info = vkb::initializers::command_buffer_begin_info();
VkClearValue clear_values[2];
clear_values[0].color = default_clear_color;
clear_values[1].depthStencil = {1.0f, 0};
VkRenderPassBeginInfo render_pass_begin_info = vkb::initializers::render_pass_begin_info();
render_pass_begin_info.renderPass = render_pass;
render_pass_begin_info.renderArea.offset.x = 0;
render_pass_begin_info.renderArea.offset.y = 0;
render_pass_begin_info.renderArea.extent.width = width;
render_pass_begin_info.renderArea.extent.height = height;
render_pass_begin_info.clearValueCount = 2;
render_pass_begin_info.pClearValues = clear_values;
for (size_t i = 0; i < draw_cmd_buffers.size(); ++i)
{
render_pass_begin_info.framebuffer = framebuffers[i];
VK_CHECK(vkBeginCommandBuffer(draw_cmd_buffers[i], &command_buffer_begin_info));
vkCmdBeginRenderPass(draw_cmd_buffers[i], &render_pass_begin_info, VK_SUBPASS_CONTENTS_INLINE);
VkViewport viewport = vkb::initializers::viewport(static_cast<float>(view_port_width), static_cast<float>(view_port_height), 0.0f, 1.0f);
vkCmdSetViewport(draw_cmd_buffers[i], 0, 1, &viewport);
VkRect2D scissor = vkb::initializers::rect2D(static_cast<int32_t>(width), static_cast<int32_t>(height), 0, 0);
vkCmdSetScissor(draw_cmd_buffers[i], 0, 1, &scissor);
// Use 5 descriptor sets due to the limitation of using variable size resource array
// see https://registry.khronos.org/vulkan/specs/1.3-extensions/man/html/VK_EXT_descriptor_indexing.html
vkCmdBindPipeline(draw_cmd_buffers[i], VK_PIPELINE_BIND_POINT_GRAPHICS, pipeline);
std::vector<VkDescriptorSet> descriptor_sets_first_pass = {
descriptor_set_common[i],
descriptor_set_vertices[i],
descriptor_set_indices[i],
descriptor_set_feature1[i],
descriptor_set_feature2[i],
};
vkCmdBindDescriptorSets(draw_cmd_buffers[i], VK_PIPELINE_BIND_POINT_GRAPHICS, pipeline_layout,
0, static_cast<int32_t>(descriptor_sets_first_pass.size()), descriptor_sets_first_pass.data(), 0, nullptr);
VkDeviceSize offsets[1] = {0};
vkCmdDraw(draw_cmd_buffers[i], 3, 1, 0, 0);
draw_ui(draw_cmd_buffers[i]);
vkCmdEndRenderPass(draw_cmd_buffers[i]);
VK_CHECK(vkEndCommandBuffer(draw_cmd_buffers[i]));
}
}
void MobileNerfRayQuery::draw()
{
ApiVulkanSample::prepare_frame();
// Command buffer to be submitted to the queue
submit_info.commandBufferCount = 1;
submit_info.pCommandBuffers = &draw_cmd_buffers[current_buffer];
// Submit to queue
VK_CHECK(vkQueueSubmit(queue, 1, &submit_info, VK_NULL_HANDLE));
ApiVulkanSample::submit_frame();
}
std::unique_ptr<vkb::VulkanSampleC> create_mobile_nerf_rayquery()
{
return std::make_unique<MobileNerfRayQuery>();
}