2019-06-27 04:02:33 +00:00
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#include "cuda.h"
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2021-12-07 00:22:39 +00:00
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#include <ffnvcodec/dynlink_loader.h>
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#include <SDL_opengl.h>
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extern "C" {
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#include <libavutil/hwcontext_cuda.h>
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}
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2019-06-27 04:02:33 +00:00
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CUDARenderer::CUDARenderer()
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: m_HwContext(nullptr)
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{
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}
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CUDARenderer::~CUDARenderer()
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{
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if (m_HwContext != nullptr) {
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av_buffer_unref(&m_HwContext);
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}
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}
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bool CUDARenderer::initialize(PDECODER_PARAMETERS)
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{
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int err;
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err = av_hwdevice_ctx_create(&m_HwContext, AV_HWDEVICE_TYPE_CUDA, nullptr, nullptr, 0);
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if (err != 0) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION,
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"av_hwdevice_ctx_create(CUDA) failed: %d",
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err);
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return false;
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}
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return true;
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}
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2020-02-09 01:47:26 +00:00
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bool CUDARenderer::prepareDecoderContext(AVCodecContext* context, AVDictionary**)
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2019-06-27 04:02:33 +00:00
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{
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context->hw_device_ctx = av_buffer_ref(m_HwContext);
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SDL_LogInfo(SDL_LOG_CATEGORY_APPLICATION,
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"Using CUDA accelerated decoder");
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return true;
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}
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void CUDARenderer::renderFrame(AVFrame*)
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{
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// We only support indirect rendering
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SDL_assert(false);
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}
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bool CUDARenderer::needsTestFrame()
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{
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return true;
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}
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bool CUDARenderer::isDirectRenderingSupported()
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{
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// We only support rendering via SDL read-back
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return false;
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}
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2021-12-07 00:22:39 +00:00
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bool CUDARenderer::copyCudaFrameToBoundTexture(AVFrame* frame)
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{
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static CudaFunctions* funcs;
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CUresult err;
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AVCUDADeviceContext* devCtx = (AVCUDADeviceContext*)(((AVHWFramesContext*)frame->hw_frames_ctx->data)->device_ctx->hwctx);
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bool ret = false;
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if (!funcs) {
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// One-time init of CUDA library
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cuda_load_functions(&funcs, nullptr);
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if (!funcs) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "Failed to initialize CUDA library");
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return false;
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}
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}
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SDL_assert(frame->format == AV_PIX_FMT_CUDA);
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// Push FFmpeg's CUDA context to use for our CUDA operations
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err = funcs->cuCtxPushCurrent(devCtx->cuda_ctx);
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if (err != CUDA_SUCCESS) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "cuCtxPushCurrent() failed: %d", err);
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return false;
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}
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// NV12 has 2 planes
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for (int i = 0; i < 2; i++) {
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CUgraphicsResource cudaResource;
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CUarray cudaArray;
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GLint tex;
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// Get the ID of this plane's texture
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glActiveTexture(GL_TEXTURE0 + i);
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glGetIntegerv(GL_TEXTURE_BINDING_2D, &tex);
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// Register it with CUDA
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err = funcs->cuGraphicsGLRegisterImage(&cudaResource, tex, GL_TEXTURE_2D, CU_GRAPHICS_REGISTER_FLAGS_WRITE_DISCARD);
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if (err != CUDA_SUCCESS) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "cuGraphicsGLRegisterImage() failed: %d", err);
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goto Exit;
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}
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// Map it to allow us to use it as a copy destination
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err = funcs->cuGraphicsMapResources(1, &cudaResource, devCtx->stream);
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if (err != CUDA_SUCCESS) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "cuGraphicsMapResources() failed: %d", err);
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funcs->cuGraphicsUnregisterResource(cudaResource);
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goto Exit;
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}
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// Get a pointer to the mapped array
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err = funcs->cuGraphicsSubResourceGetMappedArray(&cudaArray, cudaResource, 0, 0);
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if (err != CUDA_SUCCESS) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "cuGraphicsSubResourceGetMappedArray() failed: %d", err);
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funcs->cuGraphicsUnmapResources(1, &cudaResource, devCtx->stream);
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funcs->cuGraphicsUnregisterResource(cudaResource);
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goto Exit;
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}
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CUDA_MEMCPY2D cu2d = {
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.srcMemoryType = CU_MEMORYTYPE_DEVICE,
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.srcDevice = (CUdeviceptr)frame->data[i],
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.srcPitch = (size_t)frame->linesize[i],
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.dstMemoryType = CU_MEMORYTYPE_ARRAY,
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.dstArray = cudaArray,
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.dstPitch = (size_t)frame->width >> i,
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.WidthInBytes = (size_t)frame->width,
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.Height = (size_t)frame->height >> i
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};
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// Do the copy
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err = funcs->cuMemcpy2D(&cu2d);
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if (err != CUDA_SUCCESS) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "cuMemcpy2D() failed: %d", err);
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funcs->cuGraphicsUnmapResources(1, &cudaResource, devCtx->stream);
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funcs->cuGraphicsUnregisterResource(cudaResource);
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goto Exit;
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}
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funcs->cuGraphicsUnmapResources(1, &cudaResource, devCtx->stream);
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funcs->cuGraphicsUnregisterResource(cudaResource);
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}
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ret = true;
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Exit:
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{
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CUcontext dummy;
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funcs->cuCtxPopCurrent(&dummy);
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}
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return ret;
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}
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