![]() If used outside of cuda_add_executable() and cuda_add_library() If set this will enable separable compilation for all CUDA runtime objectįiles. CUDA_SEPARABLE_COMPILATION (Default: OFF) Shared library compilation are not affected by this flag. Via CUDA_NVCC_FLAGS or through the OPTION flags specified throughĬuda_add_library(), cuda_add_executable(), or cuda_wrap_srcs(). This does not affect the flags supplied directly to nvcc SometimesĬertain flags give nvcc problems, and this will help you turn the flag Cuda emulator for mac code#Generated host code match the rest of the system better. Host compiler through nvcc's -Xcompiler flag. CMAKE_C_FLAGS_DEBUG) automatically to the Set to ON to propagate CMAKE_FLAGS and their configurationĭependent counterparts (e.g. New in version 3.6: Contents of these variables may use Such as $(VCInstallDir), that expands out to the path when The host compiler is constructed with one or more visual studio macros compiler-bindir is already present in the CUDA_NVCC_FLAGS orĬUDA_NVCC_FLAGS_ variables. Set the host compiler to be used by nvcc. CUDA_HOST_COMPILER (Default: CMAKE_C_COMPILER) Set to OFF for C compilation of host code. Intermediate files will always be placed inĬMAKE_CURRENT_BINARY_DIR/CMakeFiles. If it isīlank output files will be placed in CMAKE_CURRENT_BINARY_DIR. Set to the path you wish to have the generated files placed. CUDA_GENERATED_OUTPUT_DIR (Default: CMAKE_CURRENT_BINARY_DIR) Outside - the two forms of target_link_libraries() cannot be mixed. Note that is mattersīecause whatever is used inside the FindCUDA module must also be used Uses the old "plain" form of target_link_libraries(). CUDA_LINK_LIBRARIES_KEYWORD (Default: "") CUDA_BUILD_EMULATION (Default: OFF for device mode) The output is parsed and register, shared memory usage is Set to ON to enable and extra compilation pass with the -cubin option inĭevice mode. This script could detect the reuse of source files across multiple targetsĪnd turn the option off for the user, but no good solution could be found. Is unaware of this behavior, there may be confusion. Eventually everything will get built, but if the user When the rule is run from multiple targets race conditions can occur on Source can have only one rule no matter how many projects it is added to. VS runs the rules for every source file in the target, and a When performing parallel builds it is possible for the custom buildĬommand to be run more than once and in parallel causing cryptic buildĮrrors. Things can happen if the CUDA source file is added to multiple targets. This allows the user to build the target from the CUDA file however, bad Turn OFF if you add the same cuda file to multiple Set to ON if you want the custom build rule to be attached to the sourceįile in Visual Studio. CUDA_ATTACH_VS_BUILD_RULE_TO_CUDA_FILE (Default: ON) If you compile to PTX and then load theįile yourself, you can mix bit sizes between device and host. ![]() Or C files from CUDA code just won't work, because size_t gets defined by Note that making this different from the host code when generating object Cuda emulator for mac 64 Bit#Set to ON to compile for 64 bit device code, OFF for 32 bit device code. Or cuda_wrap_srcs(): CUDA_64_BIT_DEVICE_CODE (Default: host bit size) Note that any of these flags can beĬhanged multiple times in the same directory before callingĬuda_add_executable(), cuda_add_library(), cuda_compile(),Ĭuda_compile_ptx(), cuda_compile_fatbin(), cuda_compile_cubin() The following variables affect the behavior of the macros in the Matches what is needed by the CUDA runtime version. Cuda emulator for mac driver#Included with the graphics driver - be sure that the driver version In newer versions of the toolkit the CUDA library is Platforms, or to use a CUDA runtime not installed in the default It might be necessary to set CUDA_TOOLKIT_ROOT_DIR manually on certain You change the value of CUDA_TOOLKIT_ROOT_DIR, various components that usr/local/cuda) or set CUDA_TOOLKIT_ROOT_DIR after configuring. To useĪ different installed version of the toolkit set the environment variableĬUDA_BIN_PATH=/usr/local/cuda1.0 instead of the default Path and REQUIRED is specified to find_package(). The prefix cannot be determined by the location of nvcc in the system The script will prompt the user to specify CUDA_TOOLKIT_ROOT_DIR if This script makes use of the standard find_package() arguments of ![]()
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