高级提示 如果需要在共享库或可执行文件使用之前发生可分离编译设备链接,则可以通过设置 target 属性CUDA_RESOLVE_DEVICE_SYMBOLS显式请求 CMake 调用设备链接。 PTX 生成 如果要将 PTX 文件打包用于加载时 JIT 编译,而不是将 CUDA 代码编译到库或可执行文件的集合中,则可以启用CUDA_PTX_COMPILATION属性,如下例所示。
如果需要在共享库或可执行文件使用之前发生可分离编译设备链接,则可以通过设置 target 属性CUDA_RESOLVE_DEVICE_SYMBOLS显式请求 CMake 调用设备链接。 PTX 生成 如果要将 PTX 文件打包用于加载时 JIT 编译,而不是将 CUDA 代码编译到库或可执行文件的集合中,则可以启用CUDA_PTX_COMPILATION属性,如下例所示。本例将一...
CUDA_RESOLVE_DEVICE_SYMBOLS -- PROPERTY : CUDA_RUNTIME_LIBRARY -- PROPERTY : CUDA_SEPARABLE_COMPILATION -- PROPERTY : CUDA_STANDARD -- PROPERTY : CUDA_STANDARD_REQUIRED -- Configuring done -- Generating done -- Build files have been written to: D:/work/modern_cmake_work/ModernCMake/codes...
set_target_properties(${TARGET_NAME} PROPERTIES CUDA_RESOLVE_DEVICE_SYMBOLS ON) # Enables both relocatable device code compiling and linking: set_target_properties(${TARGET_NAME} PROPERTIES CUDA_SEPARABLE_COMPILATION ON) set_target_properties(${TARGET_NAME} PROPERTIES CUDA_ARCHITECTURES "75") # Redi...
_LIBRARYisSTATICorSHAREDin conjunction withBUILD_SHARED_LIBSvalue,CMAKE_CUDA_RESOLVE_DEVICE_SYMBOLSisOFF,CMAKE_CUDA_SEPARABLE_COMPILATIONisON,CMAKE_POSITION_INDEPENDENT_CODEisON,nvidia-smisaid that CUDA is 11.7,Thrustconfigures asthrust_create_target(Thrust FROM_OPTIONS)withHOST_SYSTEM=CPPandDEVICE_SYSTEM...
If you need separable compilation device linking to occur before consumption by a shared library or executable,you can explicitly request CMake to invoke device linking by setting the target propertyCUDA_RESOLVE_DEVICE_SYMBOLS. PTX Generation
set_target_properties(embedding PROPERTIES CUDA_RESOLVE_DEVICE_SYMBOLS ON) target_link_libraries(embedding PUBLIC nccl hugectr_core23) if(USE_CUDART_STATIC) set(EMB_LIB_TYPE STATIC) else() set(EMB_LIB_TYPE SHARED) endif() add_library(embedding ${EMB_LIB_TYPE} ${embedding_src}) set(CMAKE_...
Yes, that is what I have been trying to do. So, in CMake, if I add the device link property (CUDA_RESOLVE_DEVICE_SYMBOLS) to each of my executables the process should work correctly? I’ll try this tomorrow and see if that fixes my problem. Apparently, setting the cuda_seper...
Array of host addresses that will be used to relocate corresponding device symbols stored in CU_JIT_GLOBAL_SYMBOL_NAMES. Must contain CU_JIT_GLOBAL_SYMBOL_COUNT entries. Option type: void ** Applies to: dynamic linker only CU_JIT_GLOBAL_SYMBOL_COUNT = 19 Number of entries in CU_JIT_GLOBA...
This indicates that a link to a shared object failed to resolve. cudaErrorSharedObjectInitFailed = 303 This indicates that initialization of a shared object failed. cudaErrorOperatingSystem = 304 This error indicates that an OS call failed. cudaErrorInvalidResourceHandle = 400 This indicates ...