使用 Vulkan VkImage 作为 CUDA cuArray
【问题标题】:Use Vulkan VkImage as a CUDA cuArray使用 Vulkan VkImage 作为 CUDA cuArray
【发布时间】:2019-08-20 20:01:10
【问题描述】:
将 Vulkan VkImage 用作 CUDA cuArray 的正确方法是什么?
我一直在尝试遵循一些示例,但是我在调用 cuExternalMemoryGetMappedMipmappedArray() 时收到了 CUDA_ERROR_INVALID_VALUE
以有序的方式提供信息。
我正在使用 CUDA 10.1
基本代码来自https://github.com/SaschaWillems/Vulkan,特别是我正在使用01 - Vulkan Gears 演示,丰富了saveScreenshot 方法09 - Capturing screenshots
我不会将快照图像保存到文件中,而是将快照图像作为 CUarray 发送到 CUDA。
我已启用以下实例和设备扩展:
std::vector<const char*> instanceExtensions = {
VK_EXT_DEBUG_REPORT_EXTENSION_NAME,
VK_KHR_GET_PHYSICAL_DEVICE_PROPERTIES_2_EXTENSION_NAME,
VK_KHR_EXTERNAL_MEMORY_CAPABILITIES_EXTENSION_NAME,
VK_KHR_EXTERNAL_SEMAPHORE_CAPABILITIES_EXTENSION_NAME };
std::vector<const char*> deviceExtensions = { VK_KHR_EXTERNAL_MEMORY_EXTENSION_NAME,
VK_KHR_EXTERNAL_MEMORY_FD_EXTENSION_NAME,
VK_KHR_EXTERNAL_SEMAPHORE_EXTENSION_NAME,
VK_KHR_EXTERNAL_SEMAPHORE_FD_EXTENSION_NAME };
我有一个VkImage,创建如下:
// Create the linear tiled destination image to copy to and to read the memory from
VkImageCreateInfo imageCreateCI(vks::initializers::imageCreateInfo());
imageCreateCI.imageType = VK_IMAGE_TYPE_2D;
// Note that vkCmdBlitImage (if supported) will also do format conversions if the swapchain color format would differ
imageCreateCI.format = VK_FORMAT_R8G8B8A8_UNORM;
imageCreateCI.extent.width = width;
imageCreateCI.extent.height = height;
imageCreateCI.extent.depth = 1;
imageCreateCI.arrayLayers = 1;
imageCreateCI.mipLevels = 1;
imageCreateCI.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED;
imageCreateCI.samples = VK_SAMPLE_COUNT_1_BIT;
imageCreateCI.tiling = VK_IMAGE_TILING_LINEAR;
imageCreateCI.sharingMode = VK_SHARING_MODE_EXCLUSIVE;
imageCreateCI.usage = VK_IMAGE_USAGE_TRANSFER_SRC_BIT | VK_IMAGE_USAGE_TRANSFER_DST_BIT;
VkExternalMemoryImageCreateInfoKHR extImageCreateInfo = {};
/*
* Indicate that the memory backing this image will be exported in an
* fd. In some implementations, this may affect the call to
* GetImageMemoryRequirements() with this image.
*/
extImageCreateInfo.sType = VK_STRUCTURE_TYPE_EXTERNAL_MEMORY_IMAGE_CREATE_INFO_KHR;
extImageCreateInfo.handleTypes |= VK_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD_BIT_KHR;
imageCreateCI.pNext = &extImageCreateInfo;
// Create the image
VkImage dstImage;
VK_CHECK_RESULT(vkCreateImage(device, &imageCreateCI, nullptr, &dstImage));
// Create memory to back up the image
VkMemoryRequirements memRequirements;
VkMemoryAllocateInfo memAllocInfo(vks::initializers::memoryAllocateInfo());
VkDeviceMemory dstImageMemory;
vkGetImageMemoryRequirements(device, dstImage, &memRequirements);
memAllocInfo.allocationSize = memRequirements.size;
// Memory must be host visible to copy frommemAllocInfo.memoryTypeIndex = vulkanDevice->getMemoryType(memRequirements.memoryTypeBits, VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT);
VkExportMemoryAllocateInfoKHR exportInfo = {};
exportInfo.sType = VK_STRUCTURE_TYPE_EXPORT_MEMORY_ALLOCATE_INFO_KHR;
exportInfo.handleTypes = VK_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD_BIT_KHR;
memAllocInfo.pNext = &exportInfo;
VK_CHECK_RESULT(vkAllocateMemory(device, &memAllocInfo, nullptr, &dstImageMemory));
VK_CHECK_RESULT(vkBindImageMemory(device, dstImage, dstImageMemory, 0));
从那里我会:
获取 Vulkan 内存处理程序:
intCuEncoderImpl::getVulkanMemoryHandle(VkDevice device,
VkDeviceMemory memory) {
// Get handle to memory of the VkImage
int fd = -1;
VkMemoryGetFdInfoKHR fdInfo = { };
fdInfo.sType = VK_STRUCTURE_TYPE_MEMORY_GET_FD_INFO_KHR;
fdInfo.memory = memory;
fdInfo.handleType = VK_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD_BIT_KHR;
auto func = (PFN_vkGetMemoryFdKHR) vkGetDeviceProcAddr(device,
"vkGetMemoryFdKHR");
if (!func) {
printf("Failed to locate function vkGetMemoryFdKHR\n");
return -1;
}
VkResult r = func(device, &fdInfo, &fd);
if (r != VK_SUCCESS) {
printf("Failed executing vkGetMemoryFdKHR [%d]\n", r);
return -1;
}
return fd;
}
导入内存:
CUDA_EXTERNAL_MEMORY_HANDLE_DESC memDesc = { };
memDesc.type = CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD;
memDesc.handle.fd = getVulkanMemoryHandle(device, memory);
memDesc.size = extent.width*extent.height*4;
CUDA_DRVAPI_CALL(cuImportExternalMemory(&externalMem, &memDesc));
并映射内存:这是失败的步骤。
CUarray CuEncoderImpl::getCUDAArrayFromExternalMemory(const VkExtent3D &extent,const CUexternalMemory &m_extMem) {
CUmipmappedArray m_mipmapArray;
CUresult result = CUDA_SUCCESS;
CUarray array;
CUDA_ARRAY3D_DESCRIPTOR arrayDesc = { };
arrayDesc.Width = extent.width;
arrayDesc.Height = extent.height;
arrayDesc.Depth = 0;
arrayDesc.Format = CU_AD_FORMAT_UNSIGNED_INT32;
arrayDesc.NumChannels = 4;
arrayDesc.Flags = CUDA_ARRAY3D_SURFACE_LDST;
CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC mipmapArrayDesc = { };
mipmapArrayDesc.arrayDesc = arrayDesc;
mipmapArrayDesc.numLevels = 1;
mipmapArrayDesc.offset = 0;
CUDA_DRVAPI_CALL(cuExternalMemoryGetMappedMipmappedArray(&m_mipmapArray, m_extMem, &mipmapArrayDesc));
CUDA_DRVAPI_CALL(cuMipmappedArrayGetLevel(&array, m_mipmapArray, 0));
return array;
}
我一直在尝试多种参数组合,但到目前为止都失败了。错误指向一个无效的参数,但我不知道如何找出问题所在。
唯一可行的方法是将 Vulkan 映像内存映射到主机缓冲区,然后将其复制到 CUDA 数组中......但我想这很昂贵,如果可能的话我想避免它。
【问题讨论】:
@talonmies Vulkan-CUDA 互操作性是 CUDA 10 的一项功能,请参阅 devblogs.nvidia.com/cuda-10-features-revealed
标签: cuda gpu nvidia vulkan cuda-arrays
【解决方案1】:
为了记录,我终于让它工作了。
我必须对问题中列出的代码进行一些注释和修改:
Vulkan-CUDA 互操作性被宣传为 CUDA 10 的一项功能,请参阅CUDA 10 Features revealed
要映射的图像的平铺必须是 `VK_IMAGE_TILING_OPTIMAL
imageCreateCI.tiling = VK_IMAGE_TILING_OPTIMAL;
该图像的内存必须使用VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT 分配
memAllocInfo.memoryTypeIndex = vulkanDevice->getMemoryType(memRequirements.memoryTypeBits, VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT);
导入内存时的内存描述符应使用内存要求中返回的内存大小(下面的size 是创建图像的代码中的memRequirements.size):
CUDA_EXTERNAL_MEMORY_HANDLE_DESC memDesc = { };
memDesc.type = CU_EXTERNAL_MEMORY_HANDLE_TYPE_OPAQUE_FD;
memDesc.handle.fd = getVulkanMemoryHandle(device, memory);
memDesc.size = size;
CUDA_DRVAPI_CALL(cuImportExternalMemory(&externalMem, &memDesc));
最后映射的数组被描述为CU_AD_FORMAT_UNSIGNED_INT8,有四个通道和CUDA_ARRAY3D_COLOR_ATTACHMENT
CUDA_ARRAY3D_DESCRIPTOR arrayDesc = { };
arrayDesc.Width = extent.width;
arrayDesc.Height = extent.height;
arrayDesc.Depth = 0;
arrayDesc.Format = CU_AD_FORMAT_UNSIGNED_INT8;
arrayDesc.NumChannels = 4;
arrayDesc.Flags = CUDA_ARRAY3D_COLOR_ATTACHMENT;
CUDA_EXTERNAL_MEMORY_MIPMAPPED_ARRAY_DESC mipmapArrayDesc = { };
mipmapArrayDesc.arrayDesc = arrayDesc;
mipmapArrayDesc.numLevels = 1;
mipmapArrayDesc.offset = 0;
CUDA_DRVAPI_CALL(cuExternalMemoryGetMappedMipmappedArray(&m_mipmapArray, m_extMem, &mipmapArrayDesc));
复制
在这些更改之后,我能够让它工作。 我很少有更改是我这边明显的错误(比如大小),我在第 100 次仔细阅读文档时发现的一些东西,其他人是对文档中提示的猜测,最后,大量的试验和错误.
【讨论】:
非常感谢你,我设法在不到一天的时间内运行了它:)
不过,我不确定一件事。我们必须在这个管道中调用哪些销毁/释放函数?我猜,cudaFreeMipmappedArray 和 cudaDestroyExternalMemory,但不是 mipmap 级别的 cudaFreeArray?
CUDA 10 功能揭晓:图灵、CUDA 图等 |英伟达技术博客 (nvidia.com)