mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-12-01 12:09:15 +08:00
9fef149372
Bugfix #1: added missing cudaExternalMemoryDedicated flag on cudaExternalMemoryHandleDesc Bugfix #2: IsWindows8<xxx>OrGreater queries return false on Windows 10. Always returning Windows 10 values now (might break on older Windows versions)
547 lines
21 KiB
C++
547 lines
21 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include "VulkanBaseApp.h"
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#include <iostream>
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#include <iomanip>
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#include <chrono>
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#include <algorithm>
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#include "linmath.h"
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#include "SineWaveSimulation.h"
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#include <helper_cuda.h>
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typedef float vec2[2];
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std::string execution_path;
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#ifndef NDEBUG
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#define ENABLE_VALIDATION (false)
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#else
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#define ENABLE_VALIDATION (true)
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#endif
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class VulkanCudaSineWave : public VulkanBaseApp {
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typedef struct UniformBufferObject_st {
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mat4x4 modelViewProj;
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} UniformBufferObject;
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VkBuffer m_heightBuffer, m_xyBuffer, m_indexBuffer;
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VkDeviceMemory m_heightMemory, m_xyMemory, m_indexMemory;
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UniformBufferObject m_ubo;
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VkSemaphore m_vkWaitSemaphore, m_vkSignalSemaphore;
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SineWaveSimulation m_sim;
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cudaStream_t m_stream;
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cudaExternalSemaphore_t m_cudaWaitSemaphore, m_cudaSignalSemaphore,
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m_cudaTimelineSemaphore;
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cudaExternalMemory_t m_cudaVertMem;
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float *m_cudaHeightMap;
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using chrono_tp = std::chrono::time_point<std::chrono::high_resolution_clock>;
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chrono_tp m_lastTime;
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size_t m_lastFrame;
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public:
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VulkanCudaSineWave(size_t width, size_t height)
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: VulkanBaseApp("vulkanCudaSineWave", ENABLE_VALIDATION),
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m_heightBuffer(VK_NULL_HANDLE),
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m_xyBuffer(VK_NULL_HANDLE),
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m_indexBuffer(VK_NULL_HANDLE),
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m_heightMemory(VK_NULL_HANDLE),
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m_xyMemory(VK_NULL_HANDLE),
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m_indexMemory(VK_NULL_HANDLE),
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m_ubo(),
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m_sim(width, height),
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m_stream(0),
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m_vkWaitSemaphore(VK_NULL_HANDLE),
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m_vkSignalSemaphore(VK_NULL_HANDLE),
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m_cudaWaitSemaphore(),
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m_cudaSignalSemaphore(),
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m_cudaTimelineSemaphore(),
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m_cudaVertMem(),
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m_cudaHeightMap(nullptr),
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m_lastFrame(0) {
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// Our index buffer can only index 32-bits of the vertex buffer
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if ((width * height) > (1ULL << 32ULL)) {
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throw std::runtime_error(
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"Requested height and width is too large for this sample!");
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}
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// Add our compiled vulkan shader files
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char *vertex_shader_path =
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sdkFindFilePath("vert.spv", execution_path.c_str());
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char *fragment_shader_path =
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sdkFindFilePath("frag.spv", execution_path.c_str());
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m_shaderFiles.push_back(
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std::make_pair(VK_SHADER_STAGE_VERTEX_BIT, vertex_shader_path));
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m_shaderFiles.push_back(
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std::make_pair(VK_SHADER_STAGE_FRAGMENT_BIT, fragment_shader_path));
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}
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~VulkanCudaSineWave() {
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// Make sure there's no pending work before we start tearing down
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checkCudaErrors(cudaStreamSynchronize(m_stream));
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#ifdef _VK_TIMELINE_SEMAPHORE
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if (m_vkTimelineSemaphore != VK_NULL_HANDLE) {
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checkCudaErrors(cudaDestroyExternalSemaphore(m_cudaTimelineSemaphore));
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vkDestroySemaphore(m_device, m_vkTimelineSemaphore, nullptr);
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}
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#endif /* _VK_TIMELINE_SEMAPHORE */
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if (m_vkSignalSemaphore != VK_NULL_HANDLE) {
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checkCudaErrors(cudaDestroyExternalSemaphore(m_cudaSignalSemaphore));
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vkDestroySemaphore(m_device, m_vkSignalSemaphore, nullptr);
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}
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if (m_vkWaitSemaphore != VK_NULL_HANDLE) {
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checkCudaErrors(cudaDestroyExternalSemaphore(m_cudaWaitSemaphore));
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vkDestroySemaphore(m_device, m_vkWaitSemaphore, nullptr);
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}
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if (m_xyBuffer != VK_NULL_HANDLE) {
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vkDestroyBuffer(m_device, m_xyBuffer, nullptr);
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}
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if (m_xyMemory != VK_NULL_HANDLE) {
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vkFreeMemory(m_device, m_xyMemory, nullptr);
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}
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if (m_heightBuffer != VK_NULL_HANDLE) {
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vkDestroyBuffer(m_device, m_heightBuffer, nullptr);
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}
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if (m_heightMemory != VK_NULL_HANDLE) {
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vkFreeMemory(m_device, m_heightMemory, nullptr);
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}
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if (m_cudaHeightMap) {
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checkCudaErrors(cudaDestroyExternalMemory(m_cudaVertMem));
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}
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if (m_indexBuffer != VK_NULL_HANDLE) {
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vkDestroyBuffer(m_device, m_indexBuffer, nullptr);
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}
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if (m_indexMemory != VK_NULL_HANDLE) {
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vkFreeMemory(m_device, m_indexMemory, nullptr);
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}
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}
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void fillRenderingCommandBuffer(VkCommandBuffer &commandBuffer) {
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VkBuffer vertexBuffers[] = {m_heightBuffer, m_xyBuffer};
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VkDeviceSize offsets[] = {0, 0};
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vkCmdBindVertexBuffers(commandBuffer, 0,
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sizeof(vertexBuffers) / sizeof(vertexBuffers[0]),
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vertexBuffers, offsets);
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vkCmdBindIndexBuffer(commandBuffer, m_indexBuffer, 0, VK_INDEX_TYPE_UINT32);
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vkCmdDrawIndexed(commandBuffer, (uint32_t)((m_sim.getWidth() - 1) *
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(m_sim.getHeight() - 1) * 6),
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1, 0, 0, 0);
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}
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void getVertexDescriptions(
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std::vector<VkVertexInputBindingDescription> &bindingDesc,
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std::vector<VkVertexInputAttributeDescription> &attribDesc) {
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bindingDesc.resize(2);
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attribDesc.resize(2);
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bindingDesc[0].binding = 0;
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bindingDesc[0].stride = sizeof(float);
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bindingDesc[0].inputRate = VK_VERTEX_INPUT_RATE_VERTEX;
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bindingDesc[1].binding = 1;
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bindingDesc[1].stride = sizeof(vec2);
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bindingDesc[1].inputRate = VK_VERTEX_INPUT_RATE_VERTEX;
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attribDesc[0].binding = 0;
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attribDesc[0].location = 0;
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attribDesc[0].format = VK_FORMAT_R32_SFLOAT;
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attribDesc[0].offset = 0;
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attribDesc[1].binding = 1;
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attribDesc[1].location = 1;
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attribDesc[1].format = VK_FORMAT_R32G32_SFLOAT;
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attribDesc[1].offset = 0;
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}
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void getAssemblyStateInfo(VkPipelineInputAssemblyStateCreateInfo &info) {
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info.sType = VK_STRUCTURE_TYPE_PIPELINE_INPUT_ASSEMBLY_STATE_CREATE_INFO;
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info.topology = VK_PRIMITIVE_TOPOLOGY_TRIANGLE_LIST;
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info.primitiveRestartEnable = VK_FALSE;
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}
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void getWaitFrameSemaphores(
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std::vector<VkSemaphore> &wait,
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std::vector<VkPipelineStageFlags> &waitStages) const {
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if (m_currentFrame != 0) {
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// Have vulkan wait until cuda is done with the vertex buffer before
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// rendering, We don't do this on the first frame, as the wait semaphore
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// hasn't been initialized yet
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wait.push_back(m_vkWaitSemaphore);
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// We want to wait until all the pipeline commands are complete before
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// letting cuda work
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waitStages.push_back(VK_PIPELINE_STAGE_ALL_COMMANDS_BIT);
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}
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}
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void getSignalFrameSemaphores(std::vector<VkSemaphore> &signal) const {
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// Add this semaphore for vulkan to signal once the vertex buffer is ready
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// for cuda to modify
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signal.push_back(m_vkSignalSemaphore);
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}
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void initVulkanApp() {
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int cuda_device = -1;
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// Select cuda device where vulkan is running.
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cuda_device = m_sim.initCuda(m_vkDeviceUUID, VK_UUID_SIZE);
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if (cuda_device == -1) {
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printf("Error: No CUDA-Vulkan interop capable device found\n");
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exit(EXIT_FAILURE);
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}
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m_sim.initCudaLaunchConfig(cuda_device);
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// Create the cuda stream we'll be using
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checkCudaErrors(
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cudaStreamCreateWithFlags(&m_stream, cudaStreamNonBlocking));
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const size_t nVerts = m_sim.getWidth() * m_sim.getHeight();
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const size_t nInds = (m_sim.getWidth() - 1) * (m_sim.getHeight() - 1) * 6;
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// Create the height map cuda will write to
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createExternalBuffer(
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nVerts * sizeof(float),
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VK_BUFFER_USAGE_TRANSFER_DST_BIT | VK_BUFFER_USAGE_VERTEX_BUFFER_BIT,
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VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT, getDefaultMemHandleType(),
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m_heightBuffer, m_heightMemory);
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// Create the vertex buffer that will hold the xy coordinates for the grid
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createBuffer(nVerts * sizeof(vec2), VK_BUFFER_USAGE_TRANSFER_DST_BIT |
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VK_BUFFER_USAGE_VERTEX_BUFFER_BIT,
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VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT, m_xyBuffer, m_xyMemory);
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// Create the index buffer that references from both buffers above
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createBuffer(
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nInds * sizeof(uint32_t),
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VK_BUFFER_USAGE_TRANSFER_DST_BIT | VK_BUFFER_USAGE_INDEX_BUFFER_BIT,
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VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT, m_indexBuffer, m_indexMemory);
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// Import the height map into cuda and retrieve a device pointer to use
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importCudaExternalMemory((void **)&m_cudaHeightMap, m_cudaVertMem,
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m_heightMemory, nVerts * sizeof(*m_cudaHeightMap),
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getDefaultMemHandleType());
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// Set the height map to use in the simulation
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m_sim.initSimulation(m_cudaHeightMap);
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{
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// Set up the initial values for the vertex buffers with Vulkan
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void *stagingBase;
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VkBuffer stagingBuffer;
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VkDeviceMemory stagingMemory;
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VkDeviceSize stagingSz =
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std::max(nVerts * sizeof(vec2), nInds * sizeof(uint32_t));
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createBuffer(stagingSz, VK_BUFFER_USAGE_TRANSFER_SRC_BIT,
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VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT |
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VK_MEMORY_PROPERTY_HOST_COHERENT_BIT,
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stagingBuffer, stagingMemory);
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vkMapMemory(m_device, stagingMemory, 0, stagingSz, 0, &stagingBase);
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memset(stagingBase, 0, nVerts * sizeof(float));
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copyBuffer(m_heightBuffer, stagingBuffer, nVerts * sizeof(float));
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for (size_t y = 0; y < m_sim.getHeight(); y++) {
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for (size_t x = 0; x < m_sim.getWidth(); x++) {
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vec2 *stagedVert = (vec2 *)stagingBase;
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stagedVert[y * m_sim.getWidth() + x][0] =
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(2.0f * x) / (m_sim.getWidth() - 1) - 1;
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stagedVert[y * m_sim.getWidth() + x][1] =
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(2.0f * y) / (m_sim.getHeight() - 1) - 1;
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}
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}
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copyBuffer(m_xyBuffer, stagingBuffer, nVerts * sizeof(vec2));
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{
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uint32_t *indices = (uint32_t *)stagingBase;
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for (size_t y = 0; y < m_sim.getHeight() - 1; y++) {
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for (size_t x = 0; x < m_sim.getWidth() - 1; x++) {
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indices[0] = (uint32_t)((y + 0) * m_sim.getWidth() + (x + 0));
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indices[1] = (uint32_t)((y + 1) * m_sim.getWidth() + (x + 0));
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indices[2] = (uint32_t)((y + 0) * m_sim.getWidth() + (x + 1));
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indices[3] = (uint32_t)((y + 1) * m_sim.getWidth() + (x + 0));
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indices[4] = (uint32_t)((y + 1) * m_sim.getWidth() + (x + 1));
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indices[5] = (uint32_t)((y + 0) * m_sim.getWidth() + (x + 1));
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indices += 6;
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}
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}
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}
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copyBuffer(m_indexBuffer, stagingBuffer, nInds * sizeof(uint32_t));
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vkUnmapMemory(m_device, stagingMemory);
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vkDestroyBuffer(m_device, stagingBuffer, nullptr);
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vkFreeMemory(m_device, stagingMemory, nullptr);
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}
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#ifdef _VK_TIMELINE_SEMAPHORE
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// Create the timeline semaphore to sync cuda and vulkan access to vertex
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// buffer
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createExternalSemaphore(m_vkTimelineSemaphore,
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getDefaultSemaphoreHandleType());
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// Import the timeline semaphore cuda will use to sync cuda and vulkan
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// access to vertex buffer
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importCudaExternalSemaphore(m_cudaTimelineSemaphore, m_vkTimelineSemaphore,
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getDefaultSemaphoreHandleType());
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#else
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// Create the semaphore vulkan will signal when it's done with the vertex
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// buffer
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createExternalSemaphore(m_vkSignalSemaphore,
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getDefaultSemaphoreHandleType());
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// Create the semaphore vulkan will wait for before using the vertex buffer
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createExternalSemaphore(m_vkWaitSemaphore, getDefaultSemaphoreHandleType());
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// Import the semaphore cuda will use -- vulkan's signal will be cuda's wait
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importCudaExternalSemaphore(m_cudaWaitSemaphore, m_vkSignalSemaphore,
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getDefaultSemaphoreHandleType());
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// Import the semaphore cuda will use -- cuda's signal will be vulkan's wait
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importCudaExternalSemaphore(m_cudaSignalSemaphore, m_vkWaitSemaphore,
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getDefaultSemaphoreHandleType());
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#endif /* _VK_TIMELINE_SEMAPHORE */
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}
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void importCudaExternalMemory(void **cudaPtr, cudaExternalMemory_t &cudaMem,
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VkDeviceMemory &vkMem, VkDeviceSize size,
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VkExternalMemoryHandleTypeFlagBits handleType) {
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cudaExternalMemoryHandleDesc externalMemoryHandleDesc = {};
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if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_BIT) {
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externalMemoryHandleDesc.type = cudaExternalMemoryHandleTypeOpaqueWin32;
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} else if (handleType &
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VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT_BIT) {
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externalMemoryHandleDesc.type =
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cudaExternalMemoryHandleTypeOpaqueWin32Kmt;
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} else if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD_BIT) {
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externalMemoryHandleDesc.type = cudaExternalMemoryHandleTypeOpaqueFd;
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} else {
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throw std::runtime_error("Unknown handle type requested!");
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}
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externalMemoryHandleDesc.size = size;
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// https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#importing-memory-objects-vul-int
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externalMemoryHandleDesc.flags |= cudaExternalMemoryDedicated;
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#ifdef _WIN64
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externalMemoryHandleDesc.handle.win32.handle =
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(HANDLE)getMemHandle(vkMem, handleType);
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#else
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externalMemoryHandleDesc.handle.fd =
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(int)(uintptr_t)getMemHandle(vkMem, handleType);
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#endif
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checkCudaErrors(
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cudaImportExternalMemory(&cudaMem, &externalMemoryHandleDesc));
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cudaExternalMemoryBufferDesc externalMemBufferDesc = {};
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externalMemBufferDesc.offset = 0;
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externalMemBufferDesc.size = size;
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externalMemBufferDesc.flags = 0;
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checkCudaErrors(cudaExternalMemoryGetMappedBuffer(cudaPtr, cudaMem,
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&externalMemBufferDesc));
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}
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void importCudaExternalSemaphore(
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cudaExternalSemaphore_t &cudaSem, VkSemaphore &vkSem,
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VkExternalSemaphoreHandleTypeFlagBits handleType) {
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cudaExternalSemaphoreHandleDesc externalSemaphoreHandleDesc = {};
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#ifdef _VK_TIMELINE_SEMAPHORE
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if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeTimelineSemaphoreWin32;
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} else if (handleType &
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VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeTimelineSemaphoreWin32;
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} else if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeTimelineSemaphoreFd;
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}
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#else
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if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeOpaqueWin32;
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} else if (handleType &
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VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeOpaqueWin32Kmt;
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} else if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeOpaqueFd;
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}
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#endif /* _VK_TIMELINE_SEMAPHORE */
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else {
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throw std::runtime_error("Unknown handle type requested!");
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}
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#ifdef _WIN64
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externalSemaphoreHandleDesc.handle.win32.handle =
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(HANDLE)getSemaphoreHandle(vkSem, handleType);
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#else
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externalSemaphoreHandleDesc.handle.fd =
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(int)(uintptr_t)getSemaphoreHandle(vkSem, handleType);
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#endif
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externalSemaphoreHandleDesc.flags = 0;
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checkCudaErrors(
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cudaImportExternalSemaphore(&cudaSem, &externalSemaphoreHandleDesc));
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}
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VkDeviceSize getUniformSize() const { return sizeof(UniformBufferObject); }
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void updateUniformBuffer(uint32_t imageIndex) {
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{
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mat4x4 view, proj;
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vec3 eye = {1.75f, 1.75f, 1.25f};
|
|
vec3 center = {0.0f, 0.0f, -0.25f};
|
|
vec3 up = {0.0f, 0.0f, 1.0f};
|
|
|
|
mat4x4_perspective(
|
|
proj, (float)degreesToRadians(45.0f),
|
|
m_swapChainExtent.width / (float)m_swapChainExtent.height, 0.1f,
|
|
10.0f);
|
|
proj[1][1] *= -1.0f; // Flip y axis
|
|
|
|
mat4x4_look_at(view, eye, center, up);
|
|
mat4x4_mul(m_ubo.modelViewProj, proj, view);
|
|
}
|
|
|
|
void *data;
|
|
vkMapMemory(m_device, m_uniformMemory[imageIndex], 0, getUniformSize(), 0,
|
|
&data);
|
|
memcpy(data, &m_ubo, sizeof(m_ubo));
|
|
vkUnmapMemory(m_device, m_uniformMemory[imageIndex]);
|
|
}
|
|
|
|
std::vector<const char *> getRequiredExtensions() const {
|
|
std::vector<const char *> extensions;
|
|
extensions.push_back(VK_KHR_EXTERNAL_MEMORY_CAPABILITIES_EXTENSION_NAME);
|
|
extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_CAPABILITIES_EXTENSION_NAME);
|
|
return extensions;
|
|
}
|
|
|
|
std::vector<const char *> getRequiredDeviceExtensions() const {
|
|
std::vector<const char *> extensions;
|
|
extensions.push_back(VK_KHR_EXTERNAL_MEMORY_EXTENSION_NAME);
|
|
extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_EXTENSION_NAME);
|
|
extensions.push_back(VK_KHR_TIMELINE_SEMAPHORE_EXTENSION_NAME);
|
|
#ifdef _WIN64
|
|
extensions.push_back(VK_KHR_EXTERNAL_MEMORY_WIN32_EXTENSION_NAME);
|
|
extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_WIN32_EXTENSION_NAME);
|
|
#else
|
|
extensions.push_back(VK_KHR_EXTERNAL_MEMORY_FD_EXTENSION_NAME);
|
|
extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_FD_EXTENSION_NAME);
|
|
#endif /* _WIN64 */
|
|
return extensions;
|
|
}
|
|
|
|
void drawFrame() {
|
|
static chrono_tp startTime = std::chrono::high_resolution_clock::now();
|
|
|
|
chrono_tp currentTime = std::chrono::high_resolution_clock::now();
|
|
float time = std::chrono::duration<float, std::chrono::seconds::period>(
|
|
currentTime - startTime)
|
|
.count();
|
|
|
|
if (m_currentFrame == 0) {
|
|
m_lastTime = startTime;
|
|
}
|
|
|
|
float frame_time =
|
|
std::chrono::duration<float, std::chrono::seconds::period>(currentTime -
|
|
m_lastTime)
|
|
.count();
|
|
|
|
// Have vulkan draw the current frame...
|
|
VulkanBaseApp::drawFrame();
|
|
|
|
#ifdef _VK_TIMELINE_SEMAPHORE
|
|
static uint64_t waitValue = 1;
|
|
static uint64_t signalValue = 2;
|
|
|
|
cudaExternalSemaphoreWaitParams waitParams = {};
|
|
waitParams.flags = 0;
|
|
waitParams.params.fence.value = waitValue;
|
|
|
|
cudaExternalSemaphoreSignalParams signalParams = {};
|
|
signalParams.flags = 0;
|
|
signalParams.params.fence.value = signalValue;
|
|
// Wait for vulkan to complete it's work
|
|
checkCudaErrors(cudaWaitExternalSemaphoresAsync(&m_cudaTimelineSemaphore,
|
|
&waitParams, 1, m_stream));
|
|
// Now step the simulation
|
|
m_sim.stepSimulation(time, m_stream);
|
|
// Signal vulkan to continue with the updated buffers
|
|
checkCudaErrors(cudaSignalExternalSemaphoresAsync(
|
|
&m_cudaTimelineSemaphore, &signalParams, 1, m_stream));
|
|
|
|
waitValue += 2;
|
|
signalValue += 2;
|
|
#else
|
|
cudaExternalSemaphoreWaitParams waitParams = {};
|
|
waitParams.flags = 0;
|
|
waitParams.params.fence.value = 0;
|
|
|
|
cudaExternalSemaphoreSignalParams signalParams = {};
|
|
signalParams.flags = 0;
|
|
signalParams.params.fence.value = 0;
|
|
|
|
// Wait for vulkan to complete it's work
|
|
checkCudaErrors(cudaWaitExternalSemaphoresAsync(&m_cudaWaitSemaphore,
|
|
&waitParams, 1, m_stream));
|
|
// Now step the simulation
|
|
m_sim.stepSimulation(time, m_stream);
|
|
// Signal vulkan to continue with the updated buffers
|
|
checkCudaErrors(cudaSignalExternalSemaphoresAsync(
|
|
&m_cudaSignalSemaphore, &signalParams, 1, m_stream));
|
|
#endif /* _VK_TIMELINE_SEMAPHORE */
|
|
|
|
// Output a naive measurement of the frames per second every five seconds
|
|
if (frame_time > 5) {
|
|
std::cout << "Average FPS (over " << std::fixed << std::setprecision(2)
|
|
<< frame_time << " seconds): " << std::fixed
|
|
<< std::setprecision(2)
|
|
<< ((m_currentFrame - m_lastFrame) / frame_time) << std::endl;
|
|
m_lastFrame = m_currentFrame;
|
|
m_lastTime = currentTime;
|
|
}
|
|
}
|
|
};
|
|
|
|
int main(int argc, char **argv) {
|
|
execution_path = argv[0];
|
|
VulkanCudaSineWave app((1ULL << 8ULL), (1ULL << 8ULL));
|
|
app.init();
|
|
app.mainLoop();
|
|
return 0;
|
|
}
|