# target\_include\_directories error
**URL:** https://discourse.cmake.org/t/target-include-directories-error/9164
**Category:** Usage
**Created:** [October 10, 2023, 2:01pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164 "2023-10-10T14:01:51Z")
**Posts on this page:** 11
**Page:** 1
### Author:  [@tanmayd26](https://discourse.cmake.org/u/tanmayd26)
#### Post date: [October 10, 2023, 2:01pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/1 "2023-10-10T14:01:51Z")
````auto
This is snippet in my CMakeLists.txt. I have set the architecture but I still get error when I am making my packages.if(CUDA_FOUND)
enable_language(CUDA)
include(FindCUDA)
set(CUDA_PROPAGATE_HOST_FLAGS OFF)
set(
CUDA_NVCC_FLAGS
${CUDA_NVCC_FLAGS};
-std=c++11
-maxrregcount=32;
-O3;
-arch=sm_35;
-w
CMake Error at autorally/autorally_core/src/StateEstimator/CMakeLists.txt:18 (target_include_directories):
Cannot specify include directories for target
"/usr/local/lib/cmake/GTSAM/../../../include" which is not built by this
project.
==========/usr/local/lib/GeographicLib::GeographicLib_SHARED
CMake Warning at autorally/autorally_core/src/CameraAutoBalance/CMakeLists.txt:44 (message):
Could not find Spinnaker library. Will not build CameraAutoBalance for
FLIR cameras
-- +++ processing catkin package: 'autorally_control'
-- ==> add_subdirectory(autorally/autorally_control)
-- Using these message generators: gencpp;geneus;genlisp;gennodejs;genpy
-- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.71.0/BoostConfig.cmake (found suitable version "1.71.0", minimum required is "1.55.0")
CMake Warning (dev) at /opt/ros/noetic/share/dynamic_reconfigure/cmake/dynamic_reconfigure-macros.cmake:128 (find_package):
Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
are removed. Run "cmake --help-policy CMP0148" for policy details. Use
the cmake_policy command to set the policy and suppress this warning.
Call Stack (most recent call first):
/opt/ros/noetic/share/dynamic_reconfigure/cmake/dynamic_reconfigure-macros.cmake:89 (dynreconf_called)
autorally/autorally_control/CMakeLists.txt:24 (generate_dynamic_reconfigure_options)
This warning is for project developers. Use -Wno-dev to suppress it.
-- Installing devel-space wrapper /home/tanmayd26/catkin_ws/src/autorally/autorally_control/src/gpsWaypoint/GenerateWaypoints to /home/tanmayd26/catkin_ws/devel/lib/autorally_control
CMake Warning (dev) at autorally/autorally_control/src/path_integral/CMakeLists.txt:18 (find_package):
Policy CMP0146 is not set: The FindCUDA module is removed. Run "cmake
--help-policy CMP0146" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Error at /usr/share/cmake-3.27/Modules/CMakeDetermineCUDACompiler.cmake:277 (message):
CMAKE_CUDA_ARCHITECTURES must be non-empty if set.```
````
---
### Author:  [@ben.boeckel](https://discourse.cmake.org/u/ben.boeckel)
#### Post date: [October 10, 2023, 5:09pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/2 "2023-10-10T17:09:27Z")
Cc: @robert.maynard
---
### Author:  [@robert.maynard](https://discourse.cmake.org/u/robert.maynard)
#### Post date: [October 10, 2023, 5:39pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/3 "2023-10-10T17:39:54Z")
Changed the title, as the issue is with incorrect usage of `target_include_directories`. Not relationship to CUDA.
---
### Author:  [@robert.maynard](https://discourse.cmake.org/u/robert.maynard)
#### Post date: [October 10, 2023, 5:42pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/4 "2023-10-10T17:42:42Z")
> [@tanmayd26](#):
>
> `autorally/autorally_core/src/StateEstimator/CMakeLists.txt:18`
Is calling `target_include_directories` on a target named `"/usr/local/lib/cmake/GTSAM/../../../include"` which most likely means that the call looks something like:
```cmake
target_include_directories(${variable_that_doesnt_exist} "${path_var1}" "${path_var2}")
```
That is causing the target name to be selected from `path_var1`.
---
### Author:  [@tanmayd26](https://discourse.cmake.org/u/tanmayd26)
#### Post date: [October 10, 2023, 6:17pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/5 "2023-10-10T18:17:43Z")
So I was just trying different scopes but the original is `include_directories(SYSTEM ${GTSAM_INCLUDE_DIR} "/usr/local/include" ${Boost_INCLUDE_DIRS})`
---
### Author:  [@tanmayd26](https://discourse.cmake.org/u/tanmayd26)
#### Post date: [October 10, 2023, 6:22pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/6 "2023-10-10T18:22:40Z")
Also I am not sure why it says ` CMAKE_CUDA_ARCHITECTURES must be non-empty if set.`
---
### Author:  [@tanmayd26](https://discourse.cmake.org/u/tanmayd26)
#### Post date: [October 11, 2023, 2:22pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/7 "2023-10-11T14:22:08Z")
Any Idea what am I doing wrong?
---
### Author:  [@ben.boeckel](https://discourse.cmake.org/u/ben.boeckel)
#### Post date: [October 11, 2023, 3:50pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/8 "2023-10-11T15:50:19Z")
Please provide the CMake code that is failing. It’s hard to say what to check in your source with just the error messages.
---
### Author:  [@tanmayd26](https://discourse.cmake.org/u/tanmayd26)
#### Post date: [October 11, 2023, 4:27pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/9 "2023-10-11T16:27:46Z")
This is the cmake file where I am getting error. The error is on line below “if(DEFINED CMAKE\_CUDA\_ARCHITECTURES)” I have also attached CMakeList which I am using which is at the bottom.
```auto
CMAKE_CUDA_ARCHITECTURES must be non-empty if set.
```
```auto
# Distributed under the OSI-approved BSD 3-Clause License. See accompanying
# file Copyright.txt or https://cmake.org/licensing for details.
include(${CMAKE_ROOT}/Modules/CMakeDetermineCompiler.cmake)
include(${CMAKE_ROOT}/Modules/CMakeParseImplicitLinkInfo.cmake)
if( NOT ( ("${CMAKE_GENERATOR}" MATCHES "Make") OR
("${CMAKE_GENERATOR}" MATCHES "Ninja") OR
("${CMAKE_GENERATOR}" MATCHES "Visual Studio (1|[9][0-9])") ) )
message(FATAL_ERROR "CUDA language not currently supported by \"${CMAKE_GENERATOR}\" generator")
endif()
if(${CMAKE_GENERATOR} MATCHES "Visual Studio")
if(DEFINED ENV{CUDAHOSTCXX} OR DEFINED CMAKE_CUDA_HOST_COMPILER)
message(WARNING "Visual Studio does not support specifying CUDAHOSTCXX or CMAKE_CUDA_HOST_COMPILER. Using the C++ compiler provided by Visual Studio.")
endif()
else()
if(NOT CMAKE_CUDA_COMPILER)
set(CMAKE_CUDA_COMPILER_INIT NOTFOUND)
# prefer the environment variable CUDACXX
if(NOT $ENV{CUDACXX} STREQUAL "")
get_filename_component(CMAKE_CUDA_COMPILER_INIT $ENV{CUDACXX} PROGRAM PROGRAM_ARGS CMAKE_CUDA_FLAGS_ENV_INIT)
if(CMAKE_CUDA_FLAGS_ENV_INIT)
set(CMAKE_CUDA_COMPILER_ARG1 "${CMAKE_CUDA_FLAGS_ENV_INIT}" CACHE STRING "Arguments to CUDA compiler")
endif()
if(NOT EXISTS ${CMAKE_CUDA_COMPILER_INIT})
message(FATAL_ERROR "Could not find compiler set in environment variable CUDACXX:\n$ENV{CUDACXX}.\n${CMAKE_CUDA_COMPILER_INIT}")
endif()
endif()
# finally list compilers to try
if(NOT CMAKE_CUDA_COMPILER_INIT)
set(CMAKE_CUDA_COMPILER_LIST nvcc)
endif()
set(_CMAKE_CUDA_COMPILER_PATHS "$ENV{CUDA_PATH}/bin")
_cmake_find_compiler(CUDA)
unset(_CMAKE_CUDA_COMPILER_PATHS)
else()
_cmake_find_compiler_path(CUDA)
endif()
mark_as_advanced(CMAKE_CUDA_COMPILER)
#Allow the user to specify a host compiler except for Visual Studio
if(NOT $ENV{CUDAHOSTCXX} STREQUAL "")
get_filename_component(CMAKE_CUDA_HOST_COMPILER $ENV{CUDAHOSTCXX} PROGRAM)
if(NOT EXISTS ${CMAKE_CUDA_HOST_COMPILER})
message(FATAL_ERROR "Could not find compiler set in environment variable CUDAHOSTCXX:\n$ENV{CUDAHOSTCXX}.\n${CMAKE_CUDA_HOST_COMPILER}")
endif()
endif()
endif()
if(NOT "$ENV{CUDAARCHS}" STREQUAL "")
set(CMAKE_CUDA_ARCHITECTURES "$ENV{CUDAARCHS}" CACHE STRING "CUDA architectures")
endif()
# Build a small source file to identify the compiler.
if(NOT CMAKE_CUDA_COMPILER_ID_RUN)
set(CMAKE_CUDA_COMPILER_ID_RUN 1)
include(${CMAKE_ROOT}/Modules/CMakeDetermineCompilerId.cmake)
if(${CMAKE_GENERATOR} MATCHES "Visual Studio")
# We will not know CMAKE_CUDA_COMPILER until the main compiler id step
# below extracts it, but we do know that the compiler id will be NVIDIA.
set(CMAKE_CUDA_COMPILER_ID "NVIDIA")
else()
# We determine the vendor to help with find the toolkit and use the right flags for detection right away.
# The main compiler identification is still needed below to extract other information.
list(APPEND CMAKE_CUDA_COMPILER_ID_VENDORS NVIDIA Clang)
set(CMAKE_CUDA_COMPILER_ID_VENDOR_REGEX_NVIDIA "nvcc: NVIDIA \\(R\\) Cuda compiler driver")
set(CMAKE_CUDA_COMPILER_ID_VENDOR_REGEX_Clang "(clang version)")
CMAKE_DETERMINE_COMPILER_ID_VENDOR(CUDA "--version")
if(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang" AND WIN32)
message(FATAL_ERROR "Clang with CUDA is not yet supported on Windows. See CMake issue #20776.")
endif()
# Find the CUDA toolkit. We store the CMAKE_CUDA_COMPILER_TOOLKIT_ROOT, CMAKE_CUDA_COMPILER_TOOLKIT_VERSION and
# CMAKE_CUDA_COMPILER_LIBRARY_ROOT in CMakeCUDACompiler.cmake so FindCUDAToolkit can avoid searching on future
# runs and the toolkit is the same.
# This is very similar to FindCUDAToolkit, but somewhat simplified since we can issue fatal errors
# if we fail and we don't need to account for searching the libraries.
# For NVCC we can easily deduce the SDK binary directory from the compiler path.
if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
set(_CUDA_NVCC_EXECUTABLE "${CMAKE_CUDA_COMPILER}")
else()
# Search using CUDAToolkit_ROOT and then CUDA_PATH for equivalence with FindCUDAToolkit.
# In FindCUDAToolkit CUDAToolkit_ROOT is searched automatically due to being in a find_package().
# First we search candidate non-default paths to give them priority.
find_program(_CUDA_NVCC_EXECUTABLE
NAMES nvcc nvcc.exe
PATHS ${CUDAToolkit_ROOT}
ENV CUDAToolkit_ROOT
ENV CUDA_PATH
PATH_SUFFIXES bin
NO_DEFAULT_PATH
)
# If we didn't find NVCC, then try the default paths.
find_program(_CUDA_NVCC_EXECUTABLE
NAMES nvcc nvcc.exe
PATH_SUFFIXES bin
)
# If the user specified CUDAToolkit_ROOT but nvcc could not be found, this is an error.
if(NOT _CUDA_NVCC_EXECUTABLE AND (DEFINED CUDAToolkit_ROOT OR DEFINED ENV{CUDAToolkit_ROOT}))
set(fail_base "Could not find nvcc executable in path specified by")
if(DEFINED CUDAToolkit_ROOT)
message(FATAL_ERROR "${fail_base} CUDAToolkit_ROOT=${CUDAToolkit_ROOT}")
elseif(DEFINED ENV{CUDAToolkit_ROOT})
message(FATAL_ERROR "${fail_base} environment variable CUDAToolkit_ROOT=$ENV{CUDAToolkit_ROOT}")
endif()
endif()
# CUDAToolkit_ROOT cmake/env variable not specified, try platform defaults.
#
# - Linux: /usr/local/cuda-X.Y
# - macOS: /Developer/NVIDIA/CUDA-X.Y
# - Windows: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y
#
# We will also search the default symlink location /usr/local/cuda first since
# if CUDAToolkit_ROOT is not specified, it is assumed that the symlinked
# directory is the desired location.
if(NOT _CUDA_NVCC_EXECUTABLE)
if(UNIX)
if(NOT APPLE)
set(platform_base "/usr/local/cuda-")
else()
set(platform_base "/Developer/NVIDIA/CUDA-")
endif()
else()
set(platform_base "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v")
endif()
# Build out a descending list of possible cuda installations, e.g.
file(GLOB possible_paths "${platform_base}*")
# Iterate the glob results and create a descending list.
set(versions)
foreach(p ${possible_paths})
# Extract version number from end of string
string(REGEX MATCH "[0-9][0-9]?\\.[0-9]$" p_version ${p})
if(IS_DIRECTORY ${p} AND p_version)
list(APPEND versions ${p_version})
endif()
endforeach()
# Sort numerically in descending order, so we try the newest versions first.
list(SORT versions COMPARE NATURAL ORDER DESCENDING)
# With a descending list of versions, populate possible paths to search.
set(search_paths)
foreach(v ${versions})
list(APPEND search_paths "${platform_base}${v}")
endforeach()
# Force the global default /usr/local/cuda to the front on Unix.
if(UNIX)
list(INSERT search_paths 0 "/usr/local/cuda")
endif()
# Now search for nvcc again using the platform default search paths.
find_program(_CUDA_NVCC_EXECUTABLE
NAMES nvcc nvcc.exe
PATHS ${search_paths}
PATH_SUFFIXES bin
)
# We are done with these variables now, cleanup.
unset(platform_base)
unset(possible_paths)
unset(versions)
unset(search_paths)
if(NOT _CUDA_NVCC_EXECUTABLE)
message(FATAL_ERROR "Failed to find nvcc.\nCompiler ${CMAKE_CUDA_COMPILER_ID} requires the CUDA toolkit. Please set the CUDAToolkit_ROOT variable.")
endif()
endif()
endif()
# Given that NVCC can be provided by multiple different sources (NVIDIA HPC SDK, CUDA Toolkit, distro)
# each of which has a different layout, we need to extract the CUDA toolkit root from the compiler
# itself, allowing us to support numerous different scattered toolkit layouts
execute_process(COMMAND ${_CUDA_NVCC_EXECUTABLE} "-v" "__cmake_determine_cuda"
OUTPUT_VARIABLE _CUDA_NVCC_OUT ERROR_VARIABLE _CUDA_NVCC_OUT)
if(_CUDA_NVCC_OUT MATCHES "\\#\\$ TOP=([^\r\n]*)")
get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_MATCH_1}" ABSOLUTE)
else()
get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${_CUDA_NVCC_EXECUTABLE}" DIRECTORY)
get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}" DIRECTORY)
endif()
if(_CUDA_NVCC_OUT MATCHES "\\#\\$ NVVMIR_LIBRARY_DIR=([^\r\n]*)")
get_filename_component(_CUDA_NVVMIR_LIBRARY_DIR "${CMAKE_MATCH_1}" ABSOLUTE)
#We require the path to end in `/nvvm/libdevice'
if(_CUDA_NVVMIR_LIBRARY_DIR MATCHES "nvvm/libdevice$")
get_filename_component(_CUDA_NVVMIR_LIBRARY_DIR "${_CUDA_NVVMIR_LIBRARY_DIR}/../.." ABSOLUTE)
set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR "${_CUDA_NVVMIR_LIBRARY_DIR}")
endif()
unset(_CUDA_NVVMIR_LIBRARY_DIR)
unset(_cuda_nvvmir_dir_name)
endif()
unset(_CUDA_NVCC_OUT)
set(CMAKE_CUDA_DEVICE_LINKER "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/bin/nvlink${CMAKE_EXECUTABLE_SUFFIX}")
set(CMAKE_CUDA_FATBINARY "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/bin/fatbinary${CMAKE_EXECUTABLE_SUFFIX}")
# In a non-scattered installation the following are equivalent to CMAKE_CUDA_COMPILER_TOOLKIT_ROOT.
# We first check for a non-scattered installation to prefer it over a scattered installation.
# CMAKE_CUDA_COMPILER_LIBRARY_ROOT contains the device library.
if(DEFINED CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR)
set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR}")
elseif(EXISTS "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/nvvm/libdevice")
set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}")
elseif(CMAKE_SYSROOT_LINK AND EXISTS "${CMAKE_SYSROOT_LINK}/usr/lib/cuda/nvvm/libdevice")
set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_SYSROOT_LINK}/usr/lib/cuda")
elseif(EXISTS "${CMAKE_SYSROOT}/usr/lib/cuda/nvvm/libdevice")
set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_SYSROOT}/usr/lib/cuda")
else()
message(FATAL_ERROR "Couldn't find CUDA library root.")
endif()
unset(CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR)
# CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT contains the linking stubs necessary for device linking and other low-level library files.
if(CMAKE_SYSROOT_LINK AND EXISTS "${CMAKE_SYSROOT_LINK}/usr/lib/nvidia-cuda-toolkit/bin/crt/link.stub")
set(CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT "${CMAKE_SYSROOT_LINK}/usr/lib/nvidia-cuda-toolkit")
elseif(EXISTS "${CMAKE_SYSROOT}/usr/lib/nvidia-cuda-toolkit/bin/crt/link.stub")
set(CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT "${CMAKE_SYSROOT}/usr/lib/nvidia-cuda-toolkit")
else()
set(CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}")
endif()
endif()
# For regular nvcc we the toolkit version is the same as the compiler version and we can parse it from the vendor test output.
# For Clang we need to invoke nvcc to get version output.
if(NOT CMAKE_GENERATOR MATCHES "Visual Studio")
if(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang")
execute_process(COMMAND ${_CUDA_NVCC_EXECUTABLE} "--version" OUTPUT_VARIABLE CMAKE_CUDA_COMPILER_ID_OUTPUT)
endif()
if(CMAKE_CUDA_COMPILER_ID_OUTPUT MATCHES [=[V([0-9]+\.[0-9]+\.[0-9]+)]=])
set(CMAKE_CUDA_COMPILER_TOOLKIT_VERSION "${CMAKE_MATCH_1}")
endif()
endif()
set(CMAKE_CUDA_COMPILER_ID_FLAGS_ALWAYS "-v")
if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
set(nvcc_test_flags "--keep --keep-dir tmp")
if(CMAKE_CUDA_HOST_COMPILER)
string(APPEND nvcc_test_flags " -ccbin=\"${CMAKE_CUDA_HOST_COMPILER}\"")
endif()
# If we have extracted the vendor as NVIDIA we should require detection to
# work. If we don't, users will get confusing errors later about failure
# to detect a default value for CMAKE_CUDA_ARCHITECTURES
set(CMAKE_CUDA_COMPILER_ID_REQUIRE_SUCCESS ON)
elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang")
set(clang_test_flags "--cuda-path=\"${CMAKE_CUDA_COMPILER_LIBRARY_ROOT}\"")
if(CMAKE_CROSSCOMPILING)
# Need to pass the host target and include directories if we're crosscompiling.
string(APPEND clang_test_flags " --sysroot=\"${CMAKE_SYSROOT}\" --target=${CMAKE_CUDA_COMPILER_TARGET}")
endif()
endif()
# Rest of the code treats an empty value as equivalent to "use the defaults".
# Error out early to prevent confusing errors as a result of this.
# Note that this also catches invalid non-numerical values such as "a".
if(DEFINED CMAKE_CUDA_ARCHITECTURES)
if(CMAKE_CUDA_ARCHITECTURES STREQUAL "")
message(FATAL_ERROR "CMAKE_CUDA_ARCHITECTURES must be non-empty if set.")
elseif(CMAKE_CUDA_ARCHITECTURES AND NOT CMAKE_CUDA_ARCHITECTURES MATCHES "^([0-9]+a?(-real|-virtual)?(;[0-9]+a?(-real|-virtual)?|;)*|all|all-major|native)$")
message(FATAL_ERROR
"CMAKE_CUDA_ARCHITECTURES:\n"
" ${CMAKE_CUDA_ARCHITECTURES}\n"
"is not one of the following:\n"
" * a semicolon-separated list of integers, each optionally\n"
" followed by '-real' or '-virtual'\n"
" * a special value: all, all-major, native\n"
)
endif()
endif()
if(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang")
# Clang doesn't automatically select an architecture supported by the SDK.
# Try in reverse order of deprecation with the most recent at front (i.e. the most likely to work for new setups).
foreach(arch "52" "30" "20")
list(APPEND CMAKE_CUDA_COMPILER_ID_TEST_FLAGS_FIRST "${clang_test_flags} --cuda-gpu-arch=sm_${arch}")
endforeach()
elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
list(APPEND CMAKE_CUDA_COMPILER_ID_TEST_FLAGS_FIRST "${nvcc_test_flags}")
endif()
# We perform compiler identification for a second time to extract implicit linking info and host compiler for NVCC.
# We need to unset the compiler ID otherwise CMAKE_DETERMINE_COMPILER_ID() doesn't work.
set(CMAKE_CUDA_COMPILER_ID)
set(CMAKE_CUDA_PLATFORM_ID)
file(READ ${CMAKE_ROOT}/Modules/CMakePlatformId.h.in
CMAKE_CUDA_COMPILER_ID_PLATFORM_CONTENT)
CMAKE_DETERMINE_COMPILER_ID(CUDA CUDAFLAGS CMakeCUDACompilerId.cu)
if(${CMAKE_GENERATOR} MATCHES "Visual Studio")
# Now that we have the path to nvcc, we can compute the toolkit root.
get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_CUDA_COMPILER}" DIRECTORY)
get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}" DIRECTORY)
set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}")
# The compiler comes with the toolkit, so the versions are the same.
set(CMAKE_CUDA_COMPILER_TOOLKIT_VERSION ${CMAKE_CUDA_COMPILER_VERSION})
endif()
include(${CMAKE_ROOT}/Modules/CUDA/architectures.cmake)
_cmake_find_compiler_sysroot(CUDA)
endif()
set(_CMAKE_PROCESSING_LANGUAGE "CUDA")
include(CMakeFindBinUtils)
include(Compiler/${CMAKE_CUDA_COMPILER_ID}-FindBinUtils OPTIONAL)
unset(_CMAKE_PROCESSING_LANGUAGE)
if(MSVC_CUDA_ARCHITECTURE_ID)
set(SET_MSVC_CUDA_ARCHITECTURE_ID
"set(MSVC_CUDA_ARCHITECTURE_ID ${MSVC_CUDA_ARCHITECTURE_ID})")
endif()
if(${CMAKE_GENERATOR} MATCHES "Visual Studio")
set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${CMAKE_LINKER}")
set(CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES "")
set(CMAKE_CUDA_HOST_IMPLICIT_LINK_DIRECTORIES "")
set(CMAKE_CUDA_HOST_IMPLICIT_LINK_FRAMEWORK_DIRECTORIES "")
# We do not currently detect CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES but we
# do need to detect CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT from the compiler by
# looking at which cudart library exists in the implicit link libraries passed
# to the host linker.
if(CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT MATCHES "link\\.exe [^\n]*cudart_static\\.lib")
set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "STATIC")
elseif(CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT MATCHES "link\\.exe [^\n]*cudart\\.lib")
set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "SHARED")
else()
set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "NONE")
endif()
set(_SET_CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT
"set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT \"${CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT}\")")
elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang")
string(REGEX MATCHALL "-target-cpu sm_([0-9]+)" target_cpus "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}")
foreach(cpu ${target_cpus})
string(REGEX MATCH "-target-cpu sm_([0-9]+)" dont_care "${cpu}")
list(APPEND architectures_detected "${CMAKE_MATCH_1}")
endforeach()
# Find target directory when crosscompiling.
if(CMAKE_CROSSCOMPILING)
if(CMAKE_SYSTEM_PROCESSOR STREQUAL "armv7-a")
# Support for NVPACK
set(_CUDA_TARGET_NAME "armv7-linux-androideabi")
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "arm")
set(_CUDA_TARGET_NAME "armv7-linux-gnueabihf")
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64")
if(ANDROID_ARCH_NAME STREQUAL "arm64")
set(_CUDA_TARGET_NAME "aarch64-linux-androideabi")
else()
set(_CUDA_TARGET_NAME "aarch64-linux")
endif()
elseif(CMAKE_SYSTEM_PROCESSOR STREQUAL "x86_64")
set(_CUDA_TARGET_NAME "x86_64-linux")
endif()
if(EXISTS "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/targets/${_CUDA_TARGET_NAME}")
set(_CUDA_TARGET_DIR "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/targets/${_CUDA_TARGET_NAME}")
endif()
endif()
# If not already set we can simply use the toolkit root or it's a scattered installation.
if(NOT _CUDA_TARGET_DIR)
set(_CUDA_TARGET_DIR "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}")
endif()
# We can't use find_library() yet at this point, so try a few guesses.
if(EXISTS "${_CUDA_TARGET_DIR}/lib64")
set(_CUDA_LIBRARY_DIR "${_CUDA_TARGET_DIR}/lib64")
elseif(EXISTS "${_CUDA_TARGET_DIR}/lib/x64")
set(_CUDA_LIBRARY_DIR "${_CUDA_TARGET_DIR}/lib/x64")
elseif(EXISTS "${_CUDA_TARGET_DIR}/lib")
set(_CUDA_LIBRARY_DIR "${_CUDA_TARGET_DIR}/lib")
else()
message(FATAL_ERROR "Unable to find _CUDA_LIBRARY_DIR based on _CUDA_TARGET_DIR=${_CUDA_TARGET_DIR}")
endif()
# _CUDA_TARGET_DIR always points to the directory containing the include directory.
# On a scattered installation /usr, on a non-scattered something like /usr/local/cuda or /usr/local/cuda-10.2/targets/aarch64-linux.
if(EXISTS "${_CUDA_TARGET_DIR}/include/cuda_runtime.h")
set(_CUDA_INCLUDE_DIR "${_CUDA_TARGET_DIR}/include")
else()
message(FATAL_ERROR "Unable to find cuda_runtime.h in \"${_CUDA_TARGET_DIR}/include\" for _CUDA_INCLUDE_DIR.")
endif()
# Clang does not add any CUDA SDK libraries or directories when invoking the host linker.
# Add the CUDA toolkit library directory ourselves so that linking works.
# The CUDA runtime libraries are handled elsewhere by CMAKE_CUDA_RUNTIME_LIBRARY.
set(CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES "${_CUDA_INCLUDE_DIR}")
set(CMAKE_CUDA_HOST_IMPLICIT_LINK_DIRECTORIES "${_CUDA_LIBRARY_DIR}")
set(CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES "")
set(CMAKE_CUDA_HOST_IMPLICIT_LINK_FRAMEWORK_DIRECTORIES "")
elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
set(_nvcc_log "")
string(REPLACE "\r" "" _nvcc_output_orig "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}")
if(_nvcc_output_orig MATCHES "#\\\$ +PATH= *([^\n]*)\n")
set(_nvcc_path "${CMAKE_MATCH_1}")
string(APPEND _nvcc_log " found 'PATH=' string: [${_nvcc_path}]\n")
string(REPLACE ":" ";" _nvcc_path "${_nvcc_path}")
else()
set(_nvcc_path "")
string(REPLACE "\n" "\n " _nvcc_output_log "\n${_nvcc_output_orig}")
string(APPEND _nvcc_log " no 'PATH=' string found in nvcc output:${_nvcc_output_log}\n")
endif()
if(_nvcc_output_orig MATCHES "#\\\$ +LIBRARIES= *([^\n]*)\n")
set(_nvcc_libraries "${CMAKE_MATCH_1}")
string(APPEND _nvcc_log " found 'LIBRARIES=' string: [${_nvcc_libraries}]\n")
else()
set(_nvcc_libraries "")
string(REPLACE "\n" "\n " _nvcc_output_log "\n${_nvcc_output_orig}")
string(APPEND _nvcc_log " no 'LIBRARIES=' string found in nvcc output:${_nvcc_output_log}\n")
endif()
set(_nvcc_link_line "")
if(_nvcc_libraries)
# Remove variable assignments.
string(REGEX REPLACE "#\\\$ *[^=]+=[^\n]*\n" "" _nvcc_output "${_nvcc_output_orig}")
# Encode [] characters that break list expansion.
string(REPLACE "[" "{==={" _nvcc_output "${_nvcc_output}")
string(REPLACE "]" "}===}" _nvcc_output "${_nvcc_output}")
# Split lines.
string(REGEX REPLACE "\n+(#\\\$ )?" ";" _nvcc_output "${_nvcc_output}")
foreach(line IN LISTS _nvcc_output)
set(_nvcc_output_line "${line}")
string(REPLACE "{==={" "[" _nvcc_output_line "${_nvcc_output_line}")
string(REPLACE "}===}" "]" _nvcc_output_line "${_nvcc_output_line}")
string(APPEND _nvcc_log " considering line: [${_nvcc_output_line}]\n")
if("${_nvcc_output_line}" MATCHES "^ *nvlink")
string(APPEND _nvcc_log " ignoring nvlink line\n")
elseif(_nvcc_libraries)
if("${_nvcc_output_line}" MATCHES "(@\"?((tmp/)?a\\.exe\\.res)\"?)")
set(_nvcc_link_res_arg "${CMAKE_MATCH_1}")
set(_nvcc_link_res_file "${CMAKE_MATCH_2}")
set(_nvcc_link_res "${CMAKE_PLATFORM_INFO_DIR}/CompilerIdCUDA/${_nvcc_link_res_file}")
if(EXISTS "${_nvcc_link_res}")
file(READ "${_nvcc_link_res}" _nvcc_link_res_content)
string(REPLACE "${_nvcc_link_res_arg}" "${_nvcc_link_res_content}" _nvcc_output_line "${_nvcc_output_line}")
endif()
endif()
string(FIND "${_nvcc_output_line}" "${_nvcc_libraries}" _nvcc_libraries_pos)
if(NOT _nvcc_libraries_pos EQUAL -1)
set(_nvcc_link_line "${_nvcc_output_line}")
string(APPEND _nvcc_log " extracted link line: [${_nvcc_link_line}]\n")
endif()
endif()
endforeach()
endif()
if(_nvcc_link_line)
if("x${CMAKE_CUDA_SIMULATE_ID}" STREQUAL "xMSVC")
set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${CMAKE_LINKER}")
else()
#extract the compiler that is being used for linking
separate_arguments(_nvcc_link_line_args UNIX_COMMAND "${_nvcc_link_line}")
list(GET _nvcc_link_line_args 0 _nvcc_host_link_launcher)
if(IS_ABSOLUTE "${_nvcc_host_link_launcher}")
string(APPEND _nvcc_log " extracted link launcher absolute path: [${_nvcc_host_link_launcher}]\n")
set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${_nvcc_host_link_launcher}")
else()
string(APPEND _nvcc_log " extracted link launcher name: [${_nvcc_host_link_launcher}]\n")
find_program(_nvcc_find_host_link_launcher
NAMES ${_nvcc_host_link_launcher}
PATHS ${_nvcc_path} NO_DEFAULT_PATH)
find_program(_nvcc_find_host_link_launcher
NAMES ${_nvcc_host_link_launcher})
if(_nvcc_find_host_link_launcher)
string(APPEND _nvcc_log " found link launcher absolute path: [${_nvcc_find_host_link_launcher}]\n")
set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${_nvcc_find_host_link_launcher}")
else()
string(APPEND _nvcc_log " could not find link launcher absolute path\n")
set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${_nvcc_host_link_launcher}")
endif()
unset(_nvcc_find_host_link_launcher CACHE)
endif()
endif()
#prefix the line with cuda-fake-ld so that implicit link info believes it is
#a link line
set(_nvcc_link_line "cuda-fake-ld ${_nvcc_link_line}")
CMAKE_PARSE_IMPLICIT_LINK_INFO("${_nvcc_link_line}"
CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES
CMAKE_CUDA_HOST_IMPLICIT_LINK_DIRECTORIES
CMAKE_CUDA_HOST_IMPLICIT_LINK_FRAMEWORK_DIRECTORIES
log
"${CMAKE_CUDA_IMPLICIT_OBJECT_REGEX}"
LANGUAGE CUDA)
# Detect CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT from the compiler by looking at which
# cudart library exists in the implicit link libraries passed to the host linker.
# This is required when a project sets the cuda runtime library as part of the
# initial flags.
if(";${CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES};" MATCHES [[;cudart_static(\.lib)?;]])
set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "STATIC")
elseif(";${CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES};" MATCHES [[;cudart(\.lib)?;]])
set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "SHARED")
else()
set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "NONE")
endif()
set(_SET_CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT
"set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT \"${CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT}\")")
message(CONFIGURE_LOG
"Parsed CUDA nvcc implicit link information:\n${_nvcc_log}\n${log}\n\n")
else()
message(CONFIGURE_LOG
"Failed to parse CUDA nvcc implicit link information:\n${_nvcc_log}\n\n")
message(FATAL_ERROR "Failed to extract nvcc implicit link line.")
endif()
endif()
# CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES is detected above as the list of
# libraries that the CUDA compiler implicitly passes to the host linker.
# CMake invokes the host linker directly and so needs to pass these libraries.
# We filter out those that should not be passed unconditionally both here
# and from CMAKE_CUDA_IMPLICIT_LINK_LIBRARIES in CMakeTestCUDACompiler.
set(CMAKE_CUDA_IMPLICIT_LINK_LIBRARIES_EXCLUDE
# The CUDA runtime libraries are controlled by CMAKE_CUDA_RUNTIME_LIBRARY.
cudart cudart.lib
cudart_static cudart_static.lib
cudadevrt cudadevrt.lib
# Dependencies of the CUDA static runtime library on Linux hosts.
rt
pthread
dl
)
list(REMOVE_ITEM CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES ${CMAKE_CUDA_IMPLICIT_LINK_LIBRARIES_EXCLUDE})
if(CMAKE_CUDA_COMPILER_SYSROOT)
string(CONCAT _SET_CMAKE_CUDA_COMPILER_SYSROOT
"set(CMAKE_CUDA_COMPILER_SYSROOT \"${CMAKE_CUDA_COMPILER_SYSROOT}\")\n"
"set(CMAKE_COMPILER_SYSROOT \"${CMAKE_CUDA_COMPILER_SYSROOT}\")")
else()
set(_SET_CMAKE_CUDA_COMPILER_SYSROOT "")
endif()
# Determine CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES
if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
set(CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES)
string(REPLACE "\r" "" _nvcc_output_orig "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}")
if(_nvcc_output_orig MATCHES "#\\\$ +INCLUDES= *([^\n]*)\n")
set(_nvcc_includes "${CMAKE_MATCH_1}")
string(APPEND _nvcc_log " found 'INCLUDES=' string: [${_nvcc_includes}]\n")
else()
set(_nvcc_includes "")
string(REPLACE "\n" "\n " _nvcc_output_log "\n${_nvcc_output_orig}")
string(APPEND _nvcc_log " no 'INCLUDES=' string found in nvcc output:${_nvcc_output_log}\n")
endif()
if(_nvcc_includes)
# across all operating system each include directory is prefixed with -I
separate_arguments(_nvcc_output NATIVE_COMMAND "${_nvcc_includes}")
foreach(line IN LISTS _nvcc_output)
string(REGEX REPLACE "^-I" "" line "${line}")
get_filename_component(line "${line}" ABSOLUTE)
list(APPEND CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES "${line}")
endforeach()
message(CONFIGURE_LOG
"Parsed CUDA nvcc include information:\n${_nvcc_log}\n${log}\n\n")
else()
message(CONFIGURE_LOG
"Failed to detect CUDA nvcc include information:\n${_nvcc_log}\n\n")
endif()
string(REGEX MATCHALL "-arch compute_([0-9]+)" target_cpus "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}")
foreach(cpu ${target_cpus})
string(REGEX MATCH "-arch compute_([0-9]+)" dont_care "${cpu}")
list(APPEND architectures_detected "${CMAKE_MATCH_1}")
endforeach()
endif()
# If the user didn't set the architectures, then set them to a default.
# If the user did, then make sure those architectures worked.
if("${CMAKE_CUDA_ARCHITECTURES}" STREQUAL "")
cmake_policy(GET CMP0104 _CUDA_CMP0104)
if(NOT CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA" OR _CUDA_CMP0104 STREQUAL "NEW")
set(CMAKE_CUDA_ARCHITECTURES "${architectures_detected}" CACHE STRING "CUDA architectures")
if(NOT CMAKE_CUDA_ARCHITECTURES)
message(FATAL_ERROR "Failed to detect a default CUDA architecture.\n\nCompiler output:\n${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}")
endif()
endif()
endif()
# configure all variables set in this file
configure_file(${CMAKE_ROOT}/Modules/CMakeCUDACompiler.cmake.in
${CMAKE_PLATFORM_INFO_DIR}/CMakeCUDACompiler.cmake
@ONLY
)
# Don't leak variables unnecessarily to user code.
unset(_CUDA_INCLUDE_DIR CACHE)
unset(_CUDA_NVCC_EXECUTABLE CACHE)
unset(_CUDA_LIBRARY_DIR)
unset(_CUDA_TARGET_DIR)
unset(_CUDA_TARGET_NAME)
unset(architectures_detected)
set(CMAKE_CUDA_COMPILER_ENV_VAR "CUDACXX")
set(CMAKE_CUDA_HOST_COMPILER_ENV_VAR "CUDAHOSTCXX")
```
@robert.maynard
---
### Author:  [@tanmayd26](https://discourse.cmake.org/u/tanmayd26)
#### Post date: [October 11, 2023, 4:29pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/10 "2023-10-11T16:29:16Z")
```auto
find_package(OpenCV REQUIRED)
include_directories(SYSTEM ${OpenCV_INCLUDE_DIRS})
################################################################################
#First make the helper libraries
################################################################################
add_library(autorally_plant autorally_plant.cpp)
target_link_libraries(autorally_plant ${catkin_LIBRARIES})
add_library(param_getter param_getter.cpp)
target_link_libraries(param_getter ${catkin_LIBRARIES})
################################################################################
#Now build the CUDA executables (only if CUDA is installed)
################################################################################
set(CUDA_TOOLKIT_ROOT_DIR /usr/local/cuda-12.2)
find_package(CUDA REQUIRED)
if(CUDA_FOUND)
enable_language(CUDA)
include(FindCUDA)
set(CUDA_PROPAGATE_HOST_FLAGS OFF)
set(
CUDA_NVCC_FLAGS
${CUDA_NVCC_FLAGS};
-std=c++11
-maxrregcount=32;
-O3;
-arch=sm_35;
-w
)
####################################################################################
#Executable for the basis function model
####################################################################################
cuda_add_executable(path_integral_bf
path_integral_main.cu
autorally_plant
param_getter
)
target_compile_definitions(path_integral_bf PRIVATE PRIVATE USE_BASIS_FUNC_MODEL__)
add_dependencies(path_integral_bf autorally_msgs_gencpp ${PROJECT_NAME}_gencfg)
target_link_libraries(path_integral_bf /usr/local/lib/libcnpy.so ${CUDA_curand_LIBRARY} ${catkin_LIBRARIES} ${OpenCV_LIBRARIES})
###################################################################################
#Executable for the neural network model
###################################################################################
cuda_add_library(mppi_nodelet
mppi_nodelet.cu
autorally_plant
param_getter)
target_compile_definitions(mppi_nodelet PRIVATE
USE_NEURAL_NETWORK_MODEL__;
MPPI_NNET_USING_CONSTANT_MEM__)
add_dependencies(mppi_nodelet autorally_msgs_gencpp ${PROJECT_NAME}_gencfg)
target_link_libraries(mppi_nodelet /usr/local/lib/libcnpy.so ${CUDA_curand_LIBRARY} ${catkin_LIBRARIES} ${OpenCV_LIBRARIES})
cuda_add_executable(path_integral_nn
path_integral_main.cu
autorally_plant
param_getter
)
target_compile_definitions(path_integral_nn PRIVATE
USE_NEURAL_NETWORK_MODEL__;
MPPI_NNET_USING_CONSTANT_MEM__)
add_dependencies(path_integral_nn autorally_msgs_gencpp ${PROJECT_NAME}_gencfg)
target_link_libraries(path_integral_nn /usr/local/lib/libcnpy.so ${CUDA_curand_LIBRARY} ${catkin_LIBRARIES} ${OpenCV_LIBRARIES})
####################################################################################
#Executable for monitoring the status of mppi
####################################################################################
add_executable(path_integral_monitor
status_monitor.cpp)
add_dependencies(path_integral_monitor autorally_msgs_gencpp)
target_link_libraries(path_integral_monitor ${catkin_LIBRARIES})
endif(CUDA_FOUND)
```
---
### Author:  [@robert.maynard](https://discourse.cmake.org/u/robert.maynard)
#### Post date: [October 12, 2023, 6:49pm UTC](https://discourse.cmake.org/t/target-include-directories-error/9164/11 "2023-10-12T18:49:54Z")
The current code is incomplete since I don’t see a `project` or `cmake_minimum_required` version, in addition the error you are seeing is due to the variable `CMAKE_CUDA_ARCHITECTURES` being set to an empty string, so somewhere before this code block that must be happening.
You most likely have something like
```cmake
set(CUDA_ARCHS "60")
set(CMAKE_CUDA_ARCHITECTURES "${CUDA_AARCHS}") #typo
```
That makes the `CMAKE_CUDA_ARCHITECTURES` variable an empty string.
Note:
Usage of `FindCUDA` and the associated `cuda_add_executable`, and `cuda_add_library` calls are deprecated and note supported. Please switch over to the CUDA language support