mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2026-10-13 00:08:26 +08:00
CUDA 13.4 samples update - v13.4-public
Release 13.4 of the CUDA Samples supported by CUDA Toolkit 13.4. See Changelog for more information.
This commit is contained in:
@@ -1,18 +0,0 @@
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{
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"configurations": [
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{
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"name": "Linux",
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"includePath": [
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"${workspaceFolder}/**",
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"${workspaceFolder}/../../../Common"
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],
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"defines": [],
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"compilerPath": "/usr/local/cuda/bin/nvcc",
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"cStandard": "gnu17",
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"cppStandard": "gnu++14",
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"intelliSenseMode": "linux-gcc-x64",
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"configurationProvider": "ms-vscode.makefile-tools"
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}
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],
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"version": 4
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}
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@@ -1,7 +0,0 @@
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{
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"recommendations": [
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"nvidia.nsight-vscode-edition",
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"ms-vscode.cpptools",
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"ms-vscode.makefile-tools"
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]
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}
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@@ -1,54 +1,40 @@
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cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/Modules")
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include("${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/DetectCudaArch.cmake")
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if(SAMPLE_SKIP_BUILD)
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return()
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endif()
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project(EGLStream_CUDA_CrossGPU LANGUAGES C CXX CUDA)
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include("${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/CudaSampleCommon.cmake")
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_POSITION_INDEPENDENT_CODE ON)
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set(CMAKE_CUDA_ARCHITECTURES 75 80 86 87 89 90 100 110 120)
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set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Wno-deprecated-gpu-targets")
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if(ENABLE_CUDA_DEBUG)
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set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G") # enable cuda-gdb (may significantly affect performance on some targets)
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else()
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set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -lineinfo") # add line information to all builds for debug tools (exclusive to -G option)
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endif()
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# Include directories and libraries
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include_directories(../../../Common)
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find_package(EGL)
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if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
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# Source file
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if(${EGL_FOUND})
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# Add target for EGLStream_CUDA_CrossGPU
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add_executable(EGLStream_CUDA_CrossGPU cuda_consumer.cpp cuda_producer.cpp eglstrm_common.cpp kernel.cu main.cpp)
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target_compile_options(EGLStream_CUDA_CrossGPU PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(EGLStream_CUDA_CrossGPU PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(EGLStream_CUDA_CrossGPU PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(EGLStream_CUDA_CrossGPU PUBLIC
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${EGL_INCLUDE_DIR}
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${CUDAToolkit_INCLUDE_DIRS}
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)
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target_link_libraries(EGLStream_CUDA_CrossGPU
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${EGL_LIBRARY}
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CUDA::cuda_driver
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)
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add_executable(EGLStream_CUDA_CrossGPU cuda_consumer.cpp cuda_producer.cpp eglstrm_common.cpp kernel.cu main.cpp)
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target_compile_options(EGLStream_CUDA_CrossGPU PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(EGLStream_CUDA_CrossGPU PRIVATE cxx_std_17 cuda_std_17)
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target_include_directories(EGLStream_CUDA_CrossGPU PUBLIC
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${EGL_INCLUDE_DIR}
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${CUDAToolkit_INCLUDE_DIRS}
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)
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target_link_libraries(EGLStream_CUDA_CrossGPU
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${EGL_LIBRARY}
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CUDA::cuda_driver
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)
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include(InstallSamples)
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setup_samples_install()
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else()
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message(STATUS "EGL not found - will not build sample 'EGLStream_CUDA_CrossGPU'")
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endif()
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else()
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message(STATUS "Will not build sample EGLStream_CUDA_CrossGPU - requires Linux OS")
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endif()
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# Include installation configuration
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include(${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/InstallSamples.cmake)
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setup_samples_install()
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@@ -114,7 +114,7 @@ int EGLStreamInit(bool isCrossDevice, int isConsumer, EGLNativeFileDescriptorKHR
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if (egl_device_id >= numDevices) {
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printf("No CUDA Capable EGL Device found.. Waiving execution\n");
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goto Done;
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exit(2);
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}
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g_consumerEglDisplay = eglGetPlatformDisplayEXT(EGL_PLATFORM_DEVICE_EXT, (void *)devices[egl_device_id], NULL);
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@@ -126,6 +126,16 @@ int EGLStreamInit(bool isCrossDevice, int isConsumer, EGLNativeFileDescriptorKHR
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eglStatus = eglInitialize(g_consumerEglDisplay, 0, 0);
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if (!eglStatus) {
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// A GPU built without graphics support is CUDA capable and is offered
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// as an EGL device, but has no DRM device for EGL to reach it through.
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// Any other reason is a real failure.
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if (eglQueryDeviceStringEXT(devices[egl_device_id], EGL_DRM_DEVICE_FILE_EXT) == NULL
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&& eglQueryDeviceStringEXT(devices[egl_device_id], EGL_DRM_RENDER_NODE_FILE_EXT) == NULL) {
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printf("This GPU has no graphics support, EGL is unavailable.. Waiving execution\n");
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// 2 reports an unmet hardware requirement, which run_tests.py does
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// not count as a failure.
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exit(2);
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}
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printf("EGL failed to initialize. \n");
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eglStatus = EGL_FALSE;
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goto Done;
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@@ -191,7 +201,7 @@ int EGLStreamInit(bool isCrossDevice, int isConsumer, EGLNativeFileDescriptorKHR
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if (egl_device_id >= numDevices) {
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printf("No CUDA Capable EGL Device found.. Waiving execution\n");
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goto Done;
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exit(2);
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}
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g_producerEglDisplay = eglGetPlatformDisplayEXT(EGL_PLATFORM_DEVICE_EXT, (void *)devices[egl_device_id], NULL);
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@@ -203,6 +213,16 @@ int EGLStreamInit(bool isCrossDevice, int isConsumer, EGLNativeFileDescriptorKHR
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eglStatus = eglInitialize(g_producerEglDisplay, 0, 0);
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if (!eglStatus) {
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// A GPU built without graphics support is CUDA capable and is offered
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// as an EGL device, but has no DRM device for EGL to reach it through.
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// Any other reason is a real failure.
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if (eglQueryDeviceStringEXT(devices[egl_device_id], EGL_DRM_DEVICE_FILE_EXT) == NULL
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&& eglQueryDeviceStringEXT(devices[egl_device_id], EGL_DRM_RENDER_NODE_FILE_EXT) == NULL) {
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printf("This GPU has no graphics support, EGL is unavailable.. Waiving execution\n");
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// 2 reports an unmet hardware requirement, which run_tests.py does
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// not count as a failure.
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exit(2);
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}
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printf("EGL failed to initialize. \n");
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eglStatus = EGL_FALSE;
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goto Done;
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@@ -71,6 +71,7 @@ extern bool verbose;
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T(PFNEGLGETPLATFORMDISPLAYEXTPROC, eglGetPlatformDisplayEXT) \
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T(PFNEGLGETSTREAMFILEDESCRIPTORKHRPROC, eglGetStreamFileDescriptorKHR) \
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T(PFNEGLQUERYDEVICEATTRIBEXTPROC, eglQueryDeviceAttribEXT) \
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T(PFNEGLQUERYDEVICESTRINGEXTPROC, eglQueryDeviceStringEXT) \
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T(PFNEGLCREATESTREAMFROMFILEDESCRIPTORKHRPROC, eglCreateStreamFromFileDescriptorKHR)
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#define EXTLST_DECL(tx, x) tx x = NULL;
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