# Distributed under the OSI-approved BSD 3-Clause License.  See accompanying
# file LICENSE.rst or https://cmake.org/licensing for details.

#[=======================================================================[.rst:
FindCUDAToolkit
---------------

.. versionadded:: 3.17

This script locates the NVIDIA CUDA toolkit and the associated libraries, but
does not require the ``CUDA`` language be enabled for a given project. This
module does not search for the NVIDIA CUDA Samples.

.. versionadded:: 3.19
  QNX support.

Search Behavior
^^^^^^^^^^^^^^^

The CUDA Toolkit search behavior uses the following order:

1. If the ``CUDA`` language has been enabled we will use the directory
   containing the compiler as the first search location for ``nvcc``.

2. If the variable :variable:`CMAKE_CUDA_COMPILER <CMAKE_<LANG>_COMPILER>` or
   the environment variable :envvar:`CUDACXX` is defined, it will be used
   as the path to the ``nvcc`` executable.

3. If the ``CUDAToolkit_ROOT`` cmake configuration variable (e.g.,
   ``-DCUDAToolkit_ROOT=/some/path``) *or* environment variable is defined, it
   will be searched.  If both an environment variable **and** a
   configuration variable are specified, the *configuration* variable takes
   precedence.

   The directory specified here must be such that the executable ``nvcc`` or
   the appropriate ``version.txt`` or ``version.json`` file can be found
   underneath the specified directory.

4. If the CUDA_PATH environment variable is defined, it will be searched
   for ``nvcc``.

5. The user's path is searched for ``nvcc`` using :command:`find_program`.  If
   this is found, no subsequent search attempts are performed.  Users are
   responsible for ensuring that the first ``nvcc`` to show up in the path is
   the desired path in the event that multiple CUDA Toolkits are installed.

6. On Unix systems, if the symbolic link ``/usr/local/cuda`` exists, this is
   used.  No subsequent search attempts are performed.  No default symbolic link
   location exists for the Windows platform.

7. The platform specific default install locations are searched.  If exactly one
   candidate is found, this is used.  The default CUDA Toolkit install locations
   searched are:

   +-------------+-------------------------------------------------------------+
   | Platform    | Search Pattern                                              |
   +=============+=============================================================+
   | macOS       | ``/Developer/NVIDIA/CUDA-X.Y``                              |
   +-------------+-------------------------------------------------------------+
   | Other Unix  | ``/usr/local/cuda-X.Y``                                     |
   +-------------+-------------------------------------------------------------+
   | Windows     | ``C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y`` |
   +-------------+-------------------------------------------------------------+

   Where ``X.Y`` would be a specific version of the CUDA Toolkit, such as
   ``/usr/local/cuda-9.0`` or
   ``C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0``

   .. note::

       When multiple CUDA Toolkits are installed in the default location of a
       system (e.g., both ``/usr/local/cuda-9.0`` and ``/usr/local/cuda-10.0``
       exist but the ``/usr/local/cuda`` symbolic link does **not** exist), this
       package is marked as **not** found.

       There are too many factors involved in making an automatic decision in
       the presence of multiple CUDA Toolkits being installed.  In this
       situation, users are encouraged to either (1) set ``CUDAToolkit_ROOT`` or
       (2) ensure that the correct ``nvcc`` executable shows up in ``$PATH`` for
       :command:`find_program` to find.

Arguments
^^^^^^^^^

``[<version>]``
    The ``[<version>]`` argument requests a version with which the package found
    should be compatible. See :ref:`find_package version format <FIND_PACKAGE_VERSION_FORMAT>`
    for more details.

Options
^^^^^^^

``REQUIRED``
    If specified, configuration will error if a suitable CUDA Toolkit is not
    found.

``QUIET``
    If specified, the search for a suitable CUDA Toolkit will not produce any
    messages.

``EXACT``
    If specified, the CUDA Toolkit is considered found only if the exact
    ``VERSION`` specified is recovered.

Imported Targets
^^^^^^^^^^^^^^^^

An :ref:`imported target <Imported targets>` named ``CUDA::toolkit`` is provided.

This module defines :prop_tgt:`IMPORTED` targets for each
of the following libraries that are part of the CUDAToolkit:

- `CUDA Runtime Library`_
- `CUDA Driver Library`_
- `cuBLAS`_
- `cuDLA`_
- `cuFile`_
- `cuFFT`_
- `cuRAND`_
- `cuSOLVER`_
- `cuSPARSE`_
- `cuPTI`_
- `NPP`_
- `nvBLAS`_
- `nvGRAPH`_
- `nvJPEG`_
- `nvidia-ML`_
- `nvPTX Compiler`_
- `nvRTC`_
- `nvJitLink`_
- `nvFatBin`_
- `nvToolsExt`_
- `nvtx3`_
- `OpenCL`_
- `cuLIBOS`_

CUDA Runtime Library
""""""""""""""""""""

The CUDA Runtime library (cudart) are what most applications will typically
need to link against to make any calls such as `cudaMalloc`, and `cudaFree`.

Targets Created:

- ``CUDA::cudart``
- ``CUDA::cudart_static``

CUDA Driver Library
""""""""""""""""""""

The CUDA Driver library (cuda) are used by applications that use calls
such as `cuMemAlloc`, and `cuMemFree`.

Targets Created:

- ``CUDA::cuda_driver``

cuBLAS
""""""

The `CUDA Basic Linear Algebra Subroutine`_ library.

Targets Created:

- ``CUDA::cublas``
- ``CUDA::cublas_static``
- ``CUDA::cublasLt`` starting in CUDA 10.1
- ``CUDA::cublasLt_static`` starting in CUDA 10.1

.. _`CUDA Basic Linear Algebra Subroutine`: https://docs.nvidia.com/cuda/cublas

cuDLA
""""""

.. versionadded:: 3.27

The `NVIDIA Tegra Deep Learning Accelerator`_ library.

Targets Created:

- ``CUDA::cudla`` starting in CUDA 11.6

.. _`NVIDIA Tegra Deep Learning Accelerator`: https://docs.nvidia.com/cuda/cuda-for-tegra-appnote#cudla

cuFile
""""""

.. versionadded:: 3.25

The `NVIDIA GPUDirect Storage cuFile`_ library.

Targets Created:

- ``CUDA::cuFile`` starting in CUDA 11.4
- ``CUDA::cuFile_static`` starting in CUDA 11.4
- ``CUDA::cuFile_rdma`` starting in CUDA 11.4
- ``CUDA::cuFile_rdma_static`` starting in CUDA 11.4

.. _`NVIDIA GPUDirect Storage cuFile`: https://docs.nvidia.com/gpudirect-storage/api-reference-guide

cuFFT
"""""

The `CUDA Fast Fourier Transform`_ library.

Targets Created:

- ``CUDA::cufft``
- ``CUDA::cufftw``
- ``CUDA::cufft_static``
- ``CUDA::cufft_static_nocallback`` starting in CUDA 9.2, requires CMake 3.23+
- ``CUDA::cufftw_static``

.. _`CUDA Fast Fourier Transform`: https://docs.nvidia.com/cuda/cufft

cuRAND
""""""

The `CUDA random number generation`_ library.

Targets Created:

- ``CUDA::curand``
- ``CUDA::curand_static``

.. _`CUDA random number generation`: https://docs.nvidia.com/cuda/curand

cuSOLVER
""""""""

A `GPU accelerated linear system solver`_ library.

Targets Created:

- ``CUDA::cusolver``
- ``CUDA::cusolver_static``

.. _`GPU accelerated linear system solver`: https://docs.nvidia.com/cuda/cusolver

cuSPARSE
""""""""

The `CUDA sparse matrix`_ library.

Targets Created:

- ``CUDA::cusparse``
- ``CUDA::cusparse_static``

.. _`CUDA sparse matrix`: https://docs.nvidia.com/cuda/cusparse

cupti
"""""

The `NVIDIA CUDA Profiling Tools Interface`_.

Targets Created:

- ``CUDA::cupti``
- ``CUDA::cupti_static``

.. versionadded:: 3.27

  - ``CUDA::nvperf_host``         starting in CUDA 10.2
  - ``CUDA::nvperf_host_static``  starting in CUDA 10.2
  - ``CUDA::nvperf_target``       starting in CUDA 10.2
  - ``CUDA::pcsamplingutil``      starting in CUDA 11.3

.. _`NVIDIA CUDA Profiling Tools Interface`: https://developer.nvidia.com/cupti

NPP
"""

The `NVIDIA 2D Image and Signal Processing Performance Primitives`_ libraries.

Targets Created:

- `nppc`:

  - ``CUDA::nppc``
  - ``CUDA::nppc_static``

- `nppial`: Arithmetic and logical operation functions in `nppi_arithmetic_and_logical_operations.h`

  - ``CUDA::nppial``
  - ``CUDA::nppial_static``

- `nppicc`: Color conversion and sampling functions in `nppi_color_conversion.h`

  - ``CUDA::nppicc``
  - ``CUDA::nppicc_static``

- `nppicom`: JPEG compression and decompression functions in `nppi_compression_functions.h`
  Removed starting in CUDA 11.0, use `nvJPEG`_ instead.

  - ``CUDA::nppicom``
  - ``CUDA::nppicom_static``

- `nppidei`: Data exchange and initialization functions in `nppi_data_exchange_and_initialization.h`

  - ``CUDA::nppidei``
  - ``CUDA::nppidei_static``

- `nppif`: Filtering and computer vision functions in `nppi_filter_functions.h`

  - ``CUDA::nppif``
  - ``CUDA::nppif_static``

- `nppig`: Geometry transformation functions found in `nppi_geometry_transforms.h`

  - ``CUDA::nppig``
  - ``CUDA::nppig_static``

- `nppim`: Morphological operation functions found in `nppi_morphological_operations.h`

  - ``CUDA::nppim``
  - ``CUDA::nppim_static``

- `nppist`: Statistics and linear transform in `nppi_statistics_functions.h` and `nppi_linear_transforms.h`

  - ``CUDA::nppist``
  - ``CUDA::nppist_static``

- `nppisu`: Memory support functions in `nppi_support_functions.h`

  - ``CUDA::nppisu``
  - ``CUDA::nppisu_static``

- `nppitc`: Threshold and compare operation functions in `nppi_threshold_and_compare_operations.h`

  - ``CUDA::nppitc``
  - ``CUDA::nppitc_static``

- `npps`:

  - ``CUDA::npps``
  - ``CUDA::npps_static``

.. _`NVIDIA 2D Image and Signal Processing Performance Primitives`: https://docs.nvidia.com/cuda/npp

nvBLAS
""""""

The `GPU-accelerated drop-in BLAS`_ library.
This is a shared library only.

Targets Created:

- ``CUDA::nvblas``

.. _`GPU-accelerated drop-in BLAS`: https://docs.nvidia.com/cuda/nvblas

nvGRAPH
"""""""

A `GPU-accelerated graph analytics`_ library.
Removed starting in CUDA 11.0

Targets Created:

- ``CUDA::nvgraph``
- ``CUDA::nvgraph_static``

.. _`GPU-accelerated graph analytics`: https://docs.nvidia.com/cuda/archive/10.0/nvgraph

nvJPEG
""""""

A `GPU-accelerated JPEG codec`_ library.
Introduced in CUDA 10.

Targets Created:

- ``CUDA::nvjpeg``
- ``CUDA::nvjpeg_static``

.. _`GPU-accelerated JPEG codec`: https://docs.nvidia.com/cuda/nvjpeg

nvPTX Compiler
""""""""""""""

.. versionadded:: 3.25

The `PTX Compiler APIs`_.
These are a set of APIs which can be used to compile a PTX program into GPU assembly code.
Introduced in CUDA 11.1
This is a static library only.

Targets Created:

- ``CUDA::nvptxcompiler_static`` starting in CUDA 11.1

.. _`PTX Compiler APIs`: https://docs.nvidia.com/cuda/ptx-compiler-api

nvRTC
"""""

A `runtime compilation library for CUDA`_.

Targets Created:

- ``CUDA::nvrtc``

.. versionadded:: 3.26

  - ``CUDA::nvrtc_builtins``
  - ``CUDA::nvrtc_static`` starting in CUDA 11.5
  - ``CUDA::nvrtc_builtins_static`` starting in CUDA 11.5

.. _`runtime compilation library for CUDA`: https://docs.nvidia.com/cuda/nvrtc

nvJitLink
"""""""""

The `JIT Link APIs`_.

Targets Created:

- ``CUDA::nvJitLink`` starting in CUDA 12.0
- ``CUDA::nvJitLink_static``  starting in CUDA 12.0

.. _`JIT Link APIs`: https://docs.nvidia.com/cuda/nvjitlink

nvFatBin
"""""""""

.. versionadded:: 3.30

The `Fatbin Creator APIs`_.

Targets Created:

- ``CUDA::nvfatbin`` starting in CUDA 12.4
- ``CUDA::nvfatbin_static``  starting in CUDA 12.4

.. _`Fatbin Creator APIs`: https://docs.nvidia.com/cuda/nvfatbin

nvidia-ML
"""""""""

The `NVIDIA Management Library`_.

Targets Created:

- ``CUDA::nvml``
- ``CUDA::nvml_static`` starting in CUDA 12.4

.. versionadded:: 3.31
  Added ``CUDA::nvml_static``.

.. _`NVIDIA Management Library`: https://developer.nvidia.com/management-library-nvml

.. _`FindCUDAToolkit_nvToolsExt`:

nvToolsExt
""""""""""

.. deprecated:: 3.25

  With CUDA 10.0+, use `nvtx3`_.
  Starting in CUDA 12.9 the `nvToolsExt` library no longer exists

The `legacy NVIDIA Tools Extension`_.
This is a shared library only.

Targets Created:

- ``CUDA::nvToolsExt``

.. _`legacy NVIDIA Tools Extension`: https://docs.nvidia.com/cuda/archive/9.0/profiler-users-guide#nvtx

.. _`FindCUDAToolkit_nvtx3`:

nvtx3
"""""

.. versionadded:: 3.25

The header-only `NVIDIA Tools Extension`_ library.
Introduced in CUDA 10.0.

Targets created:

- ``CUDA::nvtx3``


- ``CUDA::nvtx3_interop``

  .. versionadded:: 4.1

  This is provided by CUDA 12.9 and above for use by languages that
  cannot consume C++ header-only libraries, such as ``Fortran``.

.. _`NVIDIA Tools Extension`: https://nvidia.github.io/NVTX/doxygen

OpenCL
""""""

The `NVIDIA Open Computing Language`_ library.
This is a shared library only.

Targets Created:

- ``CUDA::OpenCL``

.. _`NVIDIA Open Computing Language`: https://developer.nvidia.com/opencl

cuLIBOS
"""""""

The cuLIBOS library is a backend thread abstraction layer library which is
static only.  The ``CUDA::cublas_static``, ``CUDA::cusparse_static``,
``CUDA::cufft_static``, ``CUDA::curand_static``, and (when implemented) NPP
libraries all automatically have this dependency linked.

Target Created:

- ``CUDA::culibos``

**Note**: direct usage of this target by consumers should not be necessary.

Result variables
^^^^^^^^^^^^^^^^

``CUDAToolkit_FOUND``
    A boolean specifying whether or not the CUDA Toolkit was found.

``CUDAToolkit_VERSION``
    The exact version of the CUDA Toolkit found (as reported by
    ``nvcc --version``, ``version.txt``, or ``version.json``).

``CUDAToolkit_VERSION_MAJOR``
    The major version of the CUDA Toolkit.

``CUDAToolkit_VERSION_MINOR``
    The minor version of the CUDA Toolkit.

``CUDAToolkit_VERSION_PATCH``
    The patch version of the CUDA Toolkit.

``CUDAToolkit_BIN_DIR``
    The path to the CUDA Toolkit library directory that contains the CUDA
    executable ``nvcc``.

``CUDAToolkit_INCLUDE_DIRS``
    List of paths to all the CUDA Toolkit folders containing header files
    required to compile a project linking against CUDA.

``CUDAToolkit_LIBRARY_DIR``
    The path to the CUDA Toolkit library directory that contains the CUDA
    Runtime library ``cudart``.

``CUDAToolkit_LIBRARY_ROOT``
    .. versionadded:: 3.18

    The path to the CUDA Toolkit directory containing the nvvm directory and
    either version.txt or version.json.

``CUDAToolkit_TARGET_DIR``
    The path to the CUDA Toolkit directory including the target architecture
    when cross-compiling. When not cross-compiling this will be equivalent to
    the parent directory of ``CUDAToolkit_BIN_DIR``.

``CUDAToolkit_NVCC_EXECUTABLE``
    The path to the NVIDIA CUDA compiler ``nvcc``.  Note that this path may
    **not** be the same as
    :variable:`CMAKE_CUDA_COMPILER <CMAKE_<LANG>_COMPILER>`.  ``nvcc`` must be
    found to determine the CUDA Toolkit version as well as determining other
    features of the Toolkit.  This variable is set for the convenience of
    modules that depend on this one.


#]=======================================================================]

# NOTE: much of this was simply extracted from FindCUDA.cmake.

#   James Bigler, NVIDIA Corp (nvidia.com - jbigler)
#   Abe Stephens, SCI Institute -- http://www.sci.utah.edu/~abe/FindCuda.html
#
#   Copyright (c) 2008 - 2009 NVIDIA Corporation.  All rights reserved.
#
#   Copyright (c) 2007-2009
#   Scientific Computing and Imaging Institute, University of Utah
#
#   This code is licensed under the MIT License.  See the FindCUDA.cmake script
#   for the text of the license.

# The MIT License
#
# License for the specific language governing rights and limitations under
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
#
###############################################################################

function(_CUDAToolkit_build_include_dirs result_variable default_paths_variable)
  set(content "${${default_paths_variable}}")
  set(${result_variable} "${content}" PARENT_SCOPE)
endfunction()

function(_CUDAToolkit_build_library_dirs result_variable default_paths_variable)
  set(content "${${default_paths_variable}}")
  set(${result_variable} "${content}" PARENT_SCOPE)
endfunction()

# The toolkit is located during compiler detection for CUDA and stored in CMakeCUDACompiler.cmake as
# - CMAKE_CUDA_COMPILER_TOOLKIT_ROOT
# - CMAKE_CUDA_COMPILER_LIBRARY_ROOT
# - CMAKE_CUDA_COMPILER_LIBRARY_DIRECTORIES_FROM_IMPLICIT_LIBRARIES
# - CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES
# We compute the rest based on those here to avoid re-searching and to avoid finding a possibly
# different installation.
if(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT)
  set(CUDAToolkit_ROOT_DIR "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}")
  set(CUDAToolkit_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_LIBRARY_ROOT}")
  _CUDAToolkit_build_library_dirs(CUDAToolkit_IMPLICIT_LIBRARY_DIRECTORIES CMAKE_CUDA_HOST_IMPLICIT_LINK_DIRECTORIES)
  _CUDAToolkit_build_include_dirs(CUDAToolkit_INCLUDE_DIRECTORIES CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES)
  set(CUDAToolkit_BIN_DIR "${CUDAToolkit_ROOT_DIR}/bin")
  set(CUDAToolkit_NVCC_EXECUTABLE "${CUDAToolkit_BIN_DIR}/nvcc${CMAKE_EXECUTABLE_SUFFIX}")
  set(CUDAToolkit_VERSION "${CMAKE_CUDA_COMPILER_TOOLKIT_VERSION}")

  if(CUDAToolkit_VERSION MATCHES [=[([0-9]+)\.([0-9]+)\.([0-9]+)]=])
    set(CUDAToolkit_VERSION_MAJOR "${CMAKE_MATCH_1}")
    set(CUDAToolkit_VERSION_MINOR "${CMAKE_MATCH_2}")
    set(CUDAToolkit_VERSION_PATCH "${CMAKE_MATCH_3}")
  endif()
else()
  function(_CUDAToolkit_find_root_dir )
    cmake_parse_arguments(arg "COMPILER_PATHS" "" "SEARCH_PATHS;FIND_FLAGS" ${ARGN})

    if(NOT CUDAToolkit_BIN_DIR)
      if(arg_COMPILER_PATHS)
        # need to find parent dir, since this could clang and not nvcc
        if(EXISTS "${CMAKE_CUDA_COMPILER}")
          get_filename_component(possible_nvcc_path "${CMAKE_CUDA_COMPILER}" PROGRAM PROGRAM_ARGS CUDAToolkit_compiler_args)
          get_filename_component(possible_nvcc_path "${possible_nvcc_path}" DIRECTORY)
        elseif(EXISTS "$ENV{CUDACXX}")
          get_filename_component(possible_nvcc_path "$ENV{CUDACXX}" PROGRAM PROGRAM_ARGS CUDAToolkit_compiler_args)
          get_filename_component(possible_nvcc_path "${possible_nvcc_path}" DIRECTORY)
        endif()
        if(possible_nvcc_path)
          find_program(CUDAToolkit_NVCC_EXECUTABLE
            NAMES nvcc nvcc.exe
            NO_DEFAULT_PATH
            PATHS ${possible_nvcc_path}
          )
        endif()
      endif()

      if(NOT CUDAToolkit_SENTINEL_FILE)
        find_program(CUDAToolkit_NVCC_EXECUTABLE
          NAMES nvcc nvcc.exe
          PATHS ${arg_SEARCH_PATHS}
          ${arg_FIND_FLAGS}
        )
      endif()

      if(NOT CUDAToolkit_NVCC_EXECUTABLE)
        find_file(CUDAToolkit_SENTINEL_FILE
          NAMES version.txt version.json
          PATHS ${arg_SEARCH_PATHS}
          NO_DEFAULT_PATH
        )
      endif()

      if(EXISTS "${CUDAToolkit_NVCC_EXECUTABLE}")
        # If NVCC exists  then invoke it to find the toolkit location.
        # This allows us to support wrapper scripts (e.g. ccache or colornvcc), CUDA Toolkit,
        # NVIDIA HPC SDK, and distro's splayed layouts
        execute_process(COMMAND ${CUDAToolkit_NVCC_EXECUTABLE} "-v" "__cmake_determine_cuda"
          OUTPUT_VARIABLE _CUDA_NVCC_OUT ERROR_VARIABLE _CUDA_NVCC_OUT)
        message(CONFIGURE_LOG
          "Executed nvcc to extract CUDAToolkit information:\n${_CUDA_NVCC_OUT}\n\n")
        if(_CUDA_NVCC_OUT MATCHES "\\#\\$ TOP=([^\r\n]*)")
          get_filename_component(CUDAToolkit_BIN_DIR "${CMAKE_MATCH_1}/bin" ABSOLUTE)
          message(CONFIGURE_LOG
            "Parsed CUDAToolkit nvcc location:\n${CUDAToolkit_BIN_DIR}\n\n")
        else()
          get_filename_component(CUDAToolkit_BIN_DIR "${CUDAToolkit_NVCC_EXECUTABLE}" DIRECTORY)
        endif()
        if(_CUDA_NVCC_OUT MATCHES "\\#\\$ INCLUDES=([^\r\n]*)")
          separate_arguments(_nvcc_output NATIVE_COMMAND "${CMAKE_MATCH_1}")
          foreach(line IN LISTS _nvcc_output)
            string(REGEX REPLACE "^-I" "" line "${line}")
            get_filename_component(line "${line}" ABSOLUTE)
            list(APPEND _cmake_CUDAToolkit_include_directories "${line}")
          endforeach()
        endif()
        if(_CUDA_NVCC_OUT MATCHES "\\#\\$ SYSTEM_INCLUDES=([^\r\n]*)")
          unset(_nvcc_output)
          separate_arguments(_nvcc_output NATIVE_COMMAND "${CMAKE_MATCH_1}")
          foreach(line IN LISTS _nvcc_output)
            string(REGEX REPLACE "^-isystem" "" line "${line}")
            if(line)
              get_filename_component(line "${line}" ABSOLUTE)
              list(APPEND _cmake_CUDAToolkit_include_directories "${line}")
            endif()
          endforeach()
        endif()
        if(DEFINED _cmake_CUDAToolkit_include_directories)
          message(CONFIGURE_LOG
            "Parsed CUDAToolkit nvcc implicit include information:\n${_cmake_CUDAToolkit_include_directories}\n\n")
          set(_cmake_CUDAToolkit_include_directories "${_cmake_CUDAToolkit_include_directories}" CACHE INTERNAL "CUDAToolkit internal list of include directories")
        endif()
        if(_CUDA_NVCC_OUT MATCHES "\\#\\$ LIBRARIES=([^\r\n]*)")
          include(${CMAKE_ROOT}/Modules/CMakeParseImplicitLinkInfo.cmake)
          set(_nvcc_link_line "cuda-fake-ld ${CMAKE_MATCH_1}")
          CMAKE_PARSE_IMPLICIT_LINK_INFO("${_nvcc_link_line}"
                                   _cmake_CUDAToolkit_implicit_link_libs
                                   _cmake_CUDAToolkit_implicit_link_directories
                                   _cmake_CUDAToolkit_implicit_frameworks
                                   _nvcc_log
                                   "${CMAKE_CUDA_IMPLICIT_OBJECT_REGEX}"
                                   LANGUAGE CUDA)
          message(CONFIGURE_LOG
          "Parsed CUDAToolkit nvcc implicit link information:\n${_nvcc_log}\n${_cmake_CUDAToolkit_implicit_link_directories}\n\n")
          unset(_nvcc_link_line)
          unset(_cmake_CUDAToolkit_implicit_link_libs)
          unset(_cmake_CUDAToolkit_implicit_frameworks)

          set(_cmake_CUDAToolkit_implicit_link_directories "${_cmake_CUDAToolkit_implicit_link_directories}" CACHE INTERNAL "CUDAToolkit internal list of implicit link directories")
        endif()
        unset(_CUDA_NVCC_OUT)

        set(CUDAToolkit_BIN_DIR "${CUDAToolkit_BIN_DIR}" CACHE PATH "" FORCE)
        mark_as_advanced(CUDAToolkit_BIN_DIR)
      endif()

      if(CUDAToolkit_SENTINEL_FILE)
        get_filename_component(CUDAToolkit_BIN_DIR ${CUDAToolkit_SENTINEL_FILE} DIRECTORY ABSOLUTE)
        set(CUDAToolkit_BIN_DIR "${CUDAToolkit_BIN_DIR}/bin")

        set(CUDAToolkit_BIN_DIR "${CUDAToolkit_BIN_DIR}" CACHE PATH "" FORCE)
        mark_as_advanced(CUDAToolkit_BIN_DIR)
      endif()
    endif()

    if(DEFINED _cmake_CUDAToolkit_include_directories)
      _CUDAToolkit_build_include_dirs(_cmake_CUDAToolkit_contents _cmake_CUDAToolkit_include_directories)
      set(CUDAToolkit_INCLUDE_DIRECTORIES "${_cmake_CUDAToolkit_contents}" PARENT_SCOPE)
    endif()
    if(DEFINED _cmake_CUDAToolkit_implicit_link_directories)
      _CUDAToolkit_build_library_dirs(_cmake_CUDAToolkit_contents _cmake_CUDAToolkit_implicit_link_directories)
      set(CUDAToolkit_IMPLICIT_LIBRARY_DIRECTORIES "${_cmake_CUDAToolkit_contents}" PARENT_SCOPE)
    endif()

    if(CUDAToolkit_BIN_DIR)
      get_filename_component(CUDAToolkit_ROOT_DIR ${CUDAToolkit_BIN_DIR} DIRECTORY ABSOLUTE)
      set(CUDAToolkit_ROOT_DIR "${CUDAToolkit_ROOT_DIR}" PARENT_SCOPE)
    endif()

  endfunction()

  function(_CUDAToolkit_find_version_file result_variable)
    # We first check for a non-scattered installation to prefer it over a scattered installation.
    set(version_files version.txt version.json)
    foreach(vf IN LISTS version_files)
      if(CUDAToolkit_ROOT AND EXISTS "${CUDAToolkit_ROOT}/${vf}")
        set(${result_variable} "${CUDAToolkit_ROOT}/${vf}" PARENT_SCOPE)
        break()
      elseif(CUDAToolkit_ROOT_DIR AND EXISTS "${CUDAToolkit_ROOT_DIR}/${vf}")
        set(${result_variable} "${CUDAToolkit_ROOT_DIR}/${vf}" PARENT_SCOPE)
        break()
      elseif(CMAKE_SYSROOT_LINK AND EXISTS "${CMAKE_SYSROOT_LINK}/usr/lib/cuda/${vf}")
        set(${result_variable} "${CMAKE_SYSROOT_LINK}/usr/lib/cuda/${vf}" PARENT_SCOPE)
        break()
      elseif(EXISTS "${CMAKE_SYSROOT}/usr/lib/cuda/${vf}")
        set(${result_variable} "${CMAKE_SYSROOT}/usr/lib/cuda/${vf}" PARENT_SCOPE)
        break()
      endif()
    endforeach()
  endfunction()

  function(_CUDAToolkit_parse_version_file version_file)
    if(version_file)
      file(READ "${version_file}" file_contents)
      cmake_path(GET version_file EXTENSION LAST_ONLY version_ext)
      if(version_ext STREQUAL ".json")
        string(JSON cuda_version_info GET "${file_contents}" "cuda" "version")
        set(cuda_version_match_regex [=[([0-9]+)\.([0-9]+)\.([0-9]+)]=])
      elseif(version_ext STREQUAL ".txt")
        set(cuda_version_info "${file_contents}")
        set(cuda_version_match_regex [=[CUDA Version ([0-9]+)\.([0-9]+)\.([0-9]+)]=])
      endif()

      if(cuda_version_info MATCHES "${cuda_version_match_regex}")
        set(CUDAToolkit_VERSION_MAJOR "${CMAKE_MATCH_1}" PARENT_SCOPE)
        set(CUDAToolkit_VERSION_MINOR "${CMAKE_MATCH_2}" PARENT_SCOPE)
        set(CUDAToolkit_VERSION_PATCH "${CMAKE_MATCH_3}" PARENT_SCOPE)
        set(CUDAToolkit_VERSION "${CMAKE_MATCH_1}.${CMAKE_MATCH_2}.${CMAKE_MATCH_3}" PARENT_SCOPE)
      endif()
    endif()
  endfunction()

  # For NVCC we can easily deduce the SDK binary directory from the compiler path.
  if(CMAKE_CUDA_COMPILER_LOADED AND NOT CUDAToolkit_BIN_DIR AND CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA")
    get_filename_component(CUDAToolkit_BIN_DIR "${CMAKE_CUDA_COMPILER}" DIRECTORY)
    set(CUDAToolkit_BIN_DIR "${CUDAToolkit_BIN_DIR}" CACHE PATH "")
    # Try language provided path first.
    _CUDAToolkit_find_root_dir(SEARCH_PATHS "${CUDAToolkit_BIN_DIR}" FIND_FLAGS NO_DEFAULT_PATH)
    mark_as_advanced(CUDAToolkit_BIN_DIR)
  endif()

  # Try user provided path
  _CUDAToolkit_find_root_dir(COMPILER_PATHS)
  if(NOT CUDAToolkit_ROOT_DIR AND CUDAToolkit_ROOT)
    _CUDAToolkit_find_root_dir(SEARCH_PATHS "${CUDAToolkit_ROOT}" FIND_FLAGS PATH_SUFFIXES bin NO_DEFAULT_PATH)
  endif()
  if(NOT CUDAToolkit_ROOT_DIR)
    _CUDAToolkit_find_root_dir(FIND_FLAGS PATHS ENV CUDA_PATH PATH_SUFFIXES bin)
  endif()

  # If the user specified CUDAToolkit_ROOT but the toolkit could not be found, this is an error.
  if(NOT CUDAToolkit_ROOT_DIR AND (DEFINED CUDAToolkit_ROOT OR DEFINED ENV{CUDAToolkit_ROOT}))
    # Declare error messages now, print later depending on find_package args.
    set(fail_base "Could not find nvcc executable in path specified by")
    set(cuda_root_fail "${fail_base} CUDAToolkit_ROOT=${CUDAToolkit_ROOT}")
    set(env_cuda_root_fail "${fail_base} environment variable CUDAToolkit_ROOT=$ENV{CUDAToolkit_ROOT}")

    if(CUDAToolkit_FIND_REQUIRED)
      if(DEFINED CUDAToolkit_ROOT)
        message(FATAL_ERROR ${cuda_root_fail})
      elseif(DEFINED ENV{CUDAToolkit_ROOT})
        message(FATAL_ERROR ${env_cuda_root_fail})
      endif()
    else()
      if(NOT CUDAToolkit_FIND_QUIETLY)
        if(DEFINED CUDAToolkit_ROOT)
          message(STATUS ${cuda_root_fail})
        elseif(DEFINED ENV{CUDAToolkit_ROOT})
          message(STATUS ${env_cuda_root_fail})
        endif()
      endif()
      set(CUDAToolkit_FOUND FALSE)
      unset(fail_base)
      unset(cuda_root_fail)
      unset(env_cuda_root_fail)
      return()
    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 CUDAToolkit_ROOT_DIR)
    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 the toolkit again using the platform default search paths.
    _CUDAToolkit_find_root_dir(SEARCH_PATHS "${search_paths}" FIND_FLAGS PATH_SUFFIXES bin)

    # We are done with these variables now, cleanup for caller.
    unset(platform_base)
    unset(possible_paths)
    unset(versions)
    unset(search_paths)

    if(NOT CUDAToolkit_ROOT_DIR)
      if(CUDAToolkit_FIND_REQUIRED)
        message(FATAL_ERROR "Could not find nvcc, please set CUDAToolkit_ROOT.")
      elseif(NOT CUDAToolkit_FIND_QUIETLY)
        message(STATUS "Could not find nvcc, please set CUDAToolkit_ROOT.")
      endif()

      set(CUDAToolkit_FOUND FALSE)
      return()
    endif()
  endif()

  _CUDAToolkit_find_version_file( _CUDAToolkit_version_file )
  if(_CUDAToolkit_version_file)
    # CUDAToolkit_LIBRARY_ROOT contains the device library and version file.
    get_filename_component(CUDAToolkit_LIBRARY_ROOT "${_CUDAToolkit_version_file}" DIRECTORY ABSOLUTE)
  endif()
  unset(_CUDAToolkit_version_file)

  if(CUDAToolkit_NVCC_EXECUTABLE AND
     CMAKE_CUDA_COMPILER_VERSION AND
     CUDAToolkit_NVCC_EXECUTABLE STREQUAL CMAKE_CUDA_COMPILER)
    # Need to set these based off the already computed CMAKE_CUDA_COMPILER_VERSION value
    # This if statement will always match, but is used to provide variables for MATCH 1,2,3...
    if(CMAKE_CUDA_COMPILER_VERSION MATCHES [=[([0-9]+)\.([0-9]+)\.([0-9]+)]=])
      set(CUDAToolkit_VERSION_MAJOR "${CMAKE_MATCH_1}")
      set(CUDAToolkit_VERSION_MINOR "${CMAKE_MATCH_2}")
      set(CUDAToolkit_VERSION_PATCH "${CMAKE_MATCH_3}")
      set(CUDAToolkit_VERSION "${CMAKE_CUDA_COMPILER_VERSION}")
    endif()
  elseif(CUDAToolkit_NVCC_EXECUTABLE)
    # Compute the version by invoking nvcc
    execute_process(COMMAND ${CUDAToolkit_NVCC_EXECUTABLE} "--version" OUTPUT_VARIABLE NVCC_OUT)
    if(NVCC_OUT MATCHES [=[ V([0-9]+)\.([0-9]+)\.([0-9]+)]=])
      set(CUDAToolkit_VERSION_MAJOR "${CMAKE_MATCH_1}")
      set(CUDAToolkit_VERSION_MINOR "${CMAKE_MATCH_2}")
      set(CUDAToolkit_VERSION_PATCH "${CMAKE_MATCH_3}")
      set(CUDAToolkit_VERSION "${CMAKE_MATCH_1}.${CMAKE_MATCH_2}.${CMAKE_MATCH_3}")
    endif()
    unset(NVCC_OUT)
  else()
    _CUDAToolkit_find_version_file(version_file)
    _CUDAToolkit_parse_version_file("${version_file}")
  endif()
endif()

# Find target directory when crosscompiling.
if(CMAKE_CROSSCOMPILING)
  # When a language is enabled we can use its compiler's target architecture.
  if(CMAKE_CUDA_COMPILER_LOADED AND CMAKE_CUDA_COMPILER_ARCHITECTURE_ID)
    set(_CUDA_TARGET_PROCESSOR "${CMAKE_CUDA_COMPILER_ARCHITECTURE_ID}")
  elseif(CMAKE_CXX_COMPILER_LOADED AND CMAKE_CXX_COMPILER_ARCHITECTURE_ID)
    set(_CUDA_TARGET_PROCESSOR "${CMAKE_CXX_COMPILER_ARCHITECTURE_ID}")
  elseif(CMAKE_C_COMPILER_LOADED AND CMAKE_C_COMPILER_ARCHITECTURE_ID)
    set(_CUDA_TARGET_PROCESSOR "${CMAKE_C_COMPILER_ARCHITECTURE_ID}")
  elseif(CMAKE_SYSTEM_PROCESSOR)
    set(_CUDA_TARGET_PROCESSOR "${CMAKE_SYSTEM_PROCESSOR}")
  else()
    message(FATAL_ERROR "Cross-compiling with the CUDA toolkit requires CMAKE_SYSTEM_PROCESSOR to be set.")
  endif()
  # Keep in sync with equivalent table in CMakeDetermineCUDACompiler and FindCUDA!
  if(_CUDA_TARGET_PROCESSOR STREQUAL "armv7-a")
    # Support for NVPACK
    set(CUDAToolkit_TARGET_NAMES "armv7-linux-androideabi")
  elseif(_CUDA_TARGET_PROCESSOR MATCHES "arm")
    set(CUDAToolkit_TARGET_NAMES "armv7-linux-gnueabihf")
  elseif(_CUDA_TARGET_PROCESSOR MATCHES "aarch64")
    if(ANDROID_ARCH_NAME STREQUAL "arm64")
      set(CUDAToolkit_TARGET_NAMES "aarch64-linux-androideabi")
    elseif (CMAKE_SYSTEM_NAME STREQUAL "QNX")
      set(CUDAToolkit_TARGET_NAMES "aarch64-qnx")
    else()
      set(CUDAToolkit_TARGET_NAMES "aarch64-linux" "sbsa-linux")
    endif()
  elseif(_CUDA_TARGET_PROCESSOR STREQUAL "x86_64")
    set(CUDAToolkit_TARGET_NAMES "x86_64-linux")
  endif()
  unset(_CUDA_TARGET_PROCESSOR)

  foreach(CUDAToolkit_TARGET_NAME IN LISTS CUDAToolkit_TARGET_NAMES)
    if(EXISTS "${CUDAToolkit_ROOT_DIR}/targets/${CUDAToolkit_TARGET_NAME}")
      set(CUDAToolkit_TARGET_DIR "${CUDAToolkit_ROOT_DIR}/targets/${CUDAToolkit_TARGET_NAME}")
      # add known CUDA target root path to the set of directories we search for programs, libraries and headers
      list(PREPEND CMAKE_FIND_ROOT_PATH "${CUDAToolkit_TARGET_DIR}")

      # Mark that we need to pop the root search path changes after we have
      # found all cuda libraries so that searches for our cross-compilation
      # libraries work when another cuda sdk is in CMAKE_PREFIX_PATH or
      # PATh
      set(_CUDAToolkit_Pop_ROOT_PATH True)
      break()
    endif()
  endforeach()
endif()

# Determine windows search path suffix for libraries
if(CMAKE_HOST_SYSTEM_NAME STREQUAL "Windows")
  if(CMAKE_HOST_SYSTEM_PROCESSOR STREQUAL "AMD64")
    set(_CUDAToolkit_win_search_dirs lib/x64)
    set(_CUDAToolkit_win_stub_search_dirs lib/x64/stubs)
  endif()
endif()

# If not already set we can simply use the toolkit root or it's a scattered installation.
if(NOT CUDAToolkit_TARGET_DIR)
  # Not cross compiling
  set(CUDAToolkit_TARGET_DIR "${CUDAToolkit_ROOT_DIR}")
  # Now that we have the real ROOT_DIR, find components inside it.
  list(APPEND CMAKE_PREFIX_PATH ${CUDAToolkit_ROOT_DIR})

  # Mark that we need to pop the prefix path changes after we have
  # found the cudart library.
  set(_CUDAToolkit_Pop_Prefix True)
endif()


# We don't need to verify the cuda_runtime header when we are using `nvcc` include paths
# as the compiler being enabled means the header was found
if(NOT CUDAToolkit_INCLUDE_DIRECTORIES)
  # Otherwise use CUDAToolkit_TARGET_DIR to guess where the `cuda_runtime.h` is located
  # 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 "${CUDAToolkit_TARGET_DIR}/include/cuda_runtime.h")
    set(CUDAToolkit_INCLUDE_DIRECTORIES "${CUDAToolkit_TARGET_DIR}/include")
  else()
    message(STATUS "Unable to find cuda_runtime.h in \"${CUDAToolkit_TARGET_DIR}/include\" for CUDAToolkit_INCLUDE_DIRECTORIES.")
  endif()
endif()

# The NVHPC layout moves math library headers and libraries to a sibling directory and it could be nested under
# the version of the CUDA toolchain
# Create a separate variable so this directory can be selectively added to math targets.
find_path(CUDAToolkit_CUBLAS_INCLUDE_DIR cublas_v2.h PATHS
  ${CUDAToolkit_INCLUDE_DIRECTORIES}
  NO_DEFAULT_PATH)

if(NOT CUDAToolkit_CUBLAS_INCLUDE_DIR)
  file(REAL_PATH "${CUDAToolkit_TARGET_DIR}" CUDAToolkit_MATH_INCLUDE_DIR)
  cmake_path(APPEND CUDAToolkit_MATH_INCLUDE_DIR "../../math_libs/")
  if(EXISTS "${CUDAToolkit_MATH_INCLUDE_DIR}/${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR}/")
    cmake_path(APPEND CUDAToolkit_MATH_INCLUDE_DIR "${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR}/")
  endif()
  cmake_path(APPEND CUDAToolkit_MATH_INCLUDE_DIR "include")
  cmake_path(NORMAL_PATH CUDAToolkit_MATH_INCLUDE_DIR)

  find_path(CUDAToolkit_CUBLAS_INCLUDE_DIR cublas_v2.h PATHS
    ${CUDAToolkit_INCLUDE_DIRECTORIES}
    )
  if(CUDAToolkit_CUBLAS_INCLUDE_DIR)
    list(APPEND CUDAToolkit_INCLUDE_DIRECTORIES "${CUDAToolkit_CUBLAS_INCLUDE_DIR}")
  endif()
endif()
unset(CUDAToolkit_CUBLAS_INCLUDE_DIR CACHE)
unset(CUDAToolkit_CUBLAS_INCLUDE_DIR)

# Find the CUDA Runtime Library libcudart
find_library(CUDA_CUDART
  NAMES cudart
  PATHS ${CUDAToolkit_IMPLICIT_LIBRARY_DIRECTORIES}
  PATH_SUFFIXES lib64 ${_CUDAToolkit_win_search_dirs}
)
find_library(CUDA_CUDART
  NAMES cudart
  PATHS ${CUDAToolkit_IMPLICIT_LIBRARY_DIRECTORIES}
  PATH_SUFFIXES lib64/stubs ${_CUDAToolkit_win_stub_search_dirs} lib/stubs stubs
)

if(NOT CUDA_CUDART AND NOT CUDAToolkit_FIND_QUIETLY)
  message(STATUS "Unable to find cudart library.")
endif()

if(_CUDAToolkit_Pop_Prefix)
  list(REMOVE_AT CMAKE_PREFIX_PATH -1)
  unset(_CUDAToolkit_Pop_Prefix)
endif()

#-----------------------------------------------------------------------------
# Perform version comparison and validate all required variables are set.
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(CUDAToolkit
  REQUIRED_VARS
    CUDAToolkit_INCLUDE_DIRECTORIES
    CUDA_CUDART
    CUDAToolkit_BIN_DIR
  VERSION_VAR
    CUDAToolkit_VERSION
)

unset(CUDAToolkit_ROOT_DIR)
mark_as_advanced(CUDA_CUDART
                 CUDAToolkit_NVCC_EXECUTABLE
                 CUDAToolkit_SENTINEL_FILE
                 )

#-----------------------------------------------------------------------------
# Construct result variables
if(CUDAToolkit_FOUND)
  set(CUDAToolkit_INCLUDE_DIRS "${CUDAToolkit_INCLUDE_DIRECTORIES}")
  get_filename_component(CUDAToolkit_LIBRARY_DIR ${CUDA_CUDART} DIRECTORY ABSOLUTE)

  # Build search paths without any symlinks
  file(REAL_PATH "${CUDAToolkit_LIBRARY_DIR}" _cmake_search_dir)
  set(CUDAToolkit_LIBRARY_SEARCH_DIRS "${_cmake_search_dir}")

  # Detect we are in a splayed nvhpc toolkit layout and add extra
  # search paths without symlinks
  if(CUDAToolkit_LIBRARY_DIR  MATCHES ".*/cuda/${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR}/lib64$")
    # Search location for math_libs/
    block(SCOPE_FOR POLICIES)
      cmake_policy(SET CMP0152 NEW)
      file(REAL_PATH "${CUDAToolkit_LIBRARY_DIR}/../../../../../" _cmake_search_dir)
      list(APPEND CUDAToolkit_LIBRARY_SEARCH_DIRS "${_cmake_search_dir}")

      # Search location for extras like cupti
      file(REAL_PATH "${CUDAToolkit_LIBRARY_DIR}/../../../" _cmake_search_dir)
      list(APPEND CUDAToolkit_LIBRARY_SEARCH_DIRS "${_cmake_search_dir}")
    endblock()
  endif()

  if(DEFINED CUDAToolkit_IMPLICIT_LIBRARY_DIRECTORIES)
    list(APPEND CUDAToolkit_LIBRARY_SEARCH_DIRS "${CUDAToolkit_IMPLICIT_LIBRARY_DIRECTORIES}")
  endif()

  # If no `CUDAToolkit_LIBRARY_ROOT` exists set it based on CUDAToolkit_LIBRARY_DIR
  if(NOT DEFINED CUDAToolkit_LIBRARY_ROOT)
    foreach(CUDAToolkit_search_loc IN LISTS CUDAToolkit_LIBRARY_DIR CUDAToolkit_BIN_DIR)
      get_filename_component(CUDAToolkit_possible_lib_root "${CUDAToolkit_search_loc}" DIRECTORY ABSOLUTE)
      if(EXISTS "${CUDAToolkit_possible_lib_root}/nvvm/")
        set(CUDAToolkit_LIBRARY_ROOT "${CUDAToolkit_possible_lib_root}")
        break()
      endif()
    endforeach()
    unset(CUDAToolkit_search_loc)
    unset(CUDAToolkit_possible_lib_root)
  endif()
else()
  # clear cache results when we fail
  unset(_cmake_CUDAToolkit_implicit_link_directories CACHE)
  unset(_cmake_CUDAToolkit_include_directories CACHE)
  unset(CUDA_CUDART CACHE)
  unset(CUDAToolkit_BIN_DIR CACHE)
  unset(CUDAToolkit_NVCC_EXECUTABLE CACHE)
  unset(CUDAToolkit_SENTINEL_FILE CACHE)
endif()
unset(CUDAToolkit_IMPLICIT_LIBRARY_DIRECTORIES)
unset(CUDAToolkit_INCLUDE_DIRECTORIES)

#-----------------------------------------------------------------------------
# Construct import targets
if(CUDAToolkit_FOUND)

  function(_CUDAToolkit_find_and_add_import_lib lib_name)
    cmake_parse_arguments(arg "" "" "ALT;DEPS;EXTRA_PATH_SUFFIXES;EXTRA_INCLUDE_DIRS;ONLY_SEARCH_FOR" ${ARGN})

    if(arg_ONLY_SEARCH_FOR)
      set(search_names ${arg_ONLY_SEARCH_FOR})
    else()
      set(search_names ${lib_name} ${arg_ALT})
    endif()

    find_library(CUDA_${lib_name}_LIBRARY
      NAMES ${search_names}
      HINTS ${CUDAToolkit_LIBRARY_SEARCH_DIRS}
            ENV CUDA_PATH
      PATH_SUFFIXES nvidia/current lib64 ${_CUDAToolkit_win_search_dirs} lib
                    # Support NVHPC splayed math library layout
                    math_libs/${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR}/lib64
                    math_libs/lib64
                    ${arg_EXTRA_PATH_SUFFIXES}
    )
    # Don't try any stub directories until we have exhausted all other
    # search locations.
    set(CUDA_IMPORT_PROPERTY IMPORTED_LOCATION)
    set(CUDA_IMPORT_TYPE     UNKNOWN)
    if(NOT CUDA_${lib_name}_LIBRARY)
      find_library(CUDA_${lib_name}_LIBRARY
        NAMES ${search_names}
        HINTS ${CUDAToolkit_LIBRARY_SEARCH_DIRS}
              ENV CUDA_PATH
        PATH_SUFFIXES lib64/stubs ${_CUDAToolkit_win_stub_search_dirs} lib/stubs stubs
      )
    endif()
    if(CUDA_${lib_name}_LIBRARY MATCHES "/stubs/" AND NOT CUDA_${lib_name}_LIBRARY MATCHES "\\.a$" AND NOT WIN32)
      # Use a SHARED library with IMPORTED_IMPLIB, but not IMPORTED_LOCATION,
      # to indicate that the stub is for linkers but not dynamic loaders.
      # It will not contribute any RPATH entry.  When encountered as
      # a private transitive dependency of another shared library,
      # it will be passed explicitly to linkers so they can find it
      # even when the runtime library file does not exist on disk.
      set(CUDA_IMPORT_PROPERTY IMPORTED_IMPLIB)
      set(CUDA_IMPORT_TYPE     SHARED)
    endif()

    mark_as_advanced(CUDA_${lib_name}_LIBRARY)

    if (NOT TARGET CUDA::${lib_name} AND CUDA_${lib_name}_LIBRARY)
      add_library(CUDA::${lib_name} ${CUDA_IMPORT_TYPE} IMPORTED)
      target_include_directories(CUDA::${lib_name} SYSTEM INTERFACE "${CUDAToolkit_INCLUDE_DIRS}")
      if(DEFINED CUDAToolkit_MATH_INCLUDE_DIR)
        string(FIND ${CUDA_${lib_name}_LIBRARY} "math_libs" math_libs)
        if(NOT ${math_libs} EQUAL -1)
          target_include_directories(CUDA::${lib_name} SYSTEM INTERFACE "${CUDAToolkit_MATH_INCLUDE_DIR}")
        endif()
      endif()
      set_property(TARGET CUDA::${lib_name} PROPERTY ${CUDA_IMPORT_PROPERTY} "${CUDA_${lib_name}_LIBRARY}")
      foreach(dep ${arg_DEPS})
        if(TARGET CUDA::${dep})
          target_link_libraries(CUDA::${lib_name} INTERFACE CUDA::${dep})
        endif()
      endforeach()
      if(arg_EXTRA_INCLUDE_DIRS)
        target_include_directories(CUDA::${lib_name} SYSTEM INTERFACE "${arg_EXTRA_INCLUDE_DIRS}")
      endif()
    endif()
  endfunction()

  if(NOT TARGET CUDA::toolkit)
    add_library(CUDA::toolkit IMPORTED INTERFACE)
    target_include_directories(CUDA::toolkit SYSTEM INTERFACE "${CUDAToolkit_INCLUDE_DIRS}")
    target_link_directories(CUDA::toolkit INTERFACE "${CUDAToolkit_LIBRARY_DIR}")
  endif()

  # setup dependencies that are required for cudart/cudart_static when building
  # on linux. These are generally only required when using the CUDA toolkit
  # when CUDA language is disabled
  if(NOT TARGET CUDA::cudart_static_deps)
    add_library(CUDA::cudart_static_deps IMPORTED INTERFACE)
    if(UNIX AND (CMAKE_C_COMPILER_LOADED OR CMAKE_CXX_COMPILER_LOADED))
      find_package(Threads REQUIRED)
      target_link_libraries(CUDA::cudart_static_deps INTERFACE Threads::Threads ${CMAKE_DL_LIBS})
    endif()

    if(UNIX AND NOT APPLE AND NOT (CMAKE_SYSTEM_NAME STREQUAL "QNX"))
      # On Linux, you must link against librt when using the static cuda runtime.
      find_library(CUDAToolkit_rt_LIBRARY rt)
      mark_as_advanced(CUDAToolkit_rt_LIBRARY)
      if(NOT CUDAToolkit_rt_LIBRARY)
        message(WARNING "Could not find librt library, needed by CUDA::cudart_static")
      else()
        target_link_libraries(CUDA::cudart_static_deps INTERFACE ${CUDAToolkit_rt_LIBRARY})
      endif()
    endif()
  endif()

  _CUDAToolkit_find_and_add_import_lib(cuda_driver ALT cuda DEPS cudart_static_deps)
  _CUDAToolkit_find_and_add_import_lib(cudart DEPS cudart_static_deps)
  _CUDAToolkit_find_and_add_import_lib(cudart_static DEPS cudart_static_deps)

  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 12.0.0)
    _CUDAToolkit_find_and_add_import_lib(nvJitLink)
    _CUDAToolkit_find_and_add_import_lib(nvJitLink_static DEPS cudart_static_deps)
  endif()

  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 12.4.0)
    _CUDAToolkit_find_and_add_import_lib(nvfatbin DEPS cudart_static_deps)
    _CUDAToolkit_find_and_add_import_lib(nvfatbin_static DEPS cudart_static_deps)
  endif()

  _CUDAToolkit_find_and_add_import_lib(culibos) # it's a static library
  foreach (cuda_lib cublasLt cufft nvjpeg)
    _CUDAToolkit_find_and_add_import_lib(${cuda_lib})
    _CUDAToolkit_find_and_add_import_lib(${cuda_lib}_static DEPS cudart_static_deps culibos)
  endforeach()
  foreach (cuda_lib curand nppc)
    _CUDAToolkit_find_and_add_import_lib(${cuda_lib})
    _CUDAToolkit_find_and_add_import_lib(${cuda_lib}_static DEPS culibos)
  endforeach()

  _CUDAToolkit_find_and_add_import_lib(cusparse DEPS nvJitLink)
  _CUDAToolkit_find_and_add_import_lib(cusparse_static DEPS nvJitLink_static culibos)

  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 11.0.0)
    # cublas depends on cublasLt
    # https://docs.nvidia.com/cuda/archive/11.0/cublas#static-library
    _CUDAToolkit_find_and_add_import_lib(cublas DEPS cublasLt culibos)
    _CUDAToolkit_find_and_add_import_lib(cublas_static DEPS cublasLt_static culibos)
  else()
    _CUDAToolkit_find_and_add_import_lib(cublas DEPS culibos)
    _CUDAToolkit_find_and_add_import_lib(cublas_static DEPS culibos)
  endif()

  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 11.4)
    _CUDAToolkit_find_and_add_import_lib(cuFile ALT cufile DEPS culibos)
    _CUDAToolkit_find_and_add_import_lib(cuFile_static ALT cufile_static DEPS culibos)

    _CUDAToolkit_find_and_add_import_lib(cuFile_rdma ALT cufile_rdma DEPS cuFile culibos)
    _CUDAToolkit_find_and_add_import_lib(cuFile_rdma_static ALT cufile_rdma_static DEPS cuFile_static culibos)
  endif()

    if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 11.6)
    _CUDAToolkit_find_and_add_import_lib(cudla)
  endif()


  # cuFFTW depends on cuFFT
  _CUDAToolkit_find_and_add_import_lib(cufftw DEPS cufft)
  _CUDAToolkit_find_and_add_import_lib(cufftw_static DEPS cufft_static)
  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 9.2)
    _CUDAToolkit_find_and_add_import_lib(cufft_static_nocallback DEPS culibos)
  endif()

  # cuSOLVER depends on cuBLAS, and cuSPARSE
  set(cusolver_deps cublas cusparse)
  set(cusolver_static_deps cublas_static cusparse_static culibos)
  if(CUDAToolkit_VERSION VERSION_GREATER 11.2.1)
    # cusolver depends on libcusolver_metis and cublasLt
    # https://docs.nvidia.com/cuda/archive/11.2.2/cusolver#link-dependency
    list(APPEND cusolver_deps cublasLt)
    _CUDAToolkit_find_and_add_import_lib(cusolver_metis_static ALT metis_static) # implementation detail static lib
    list(APPEND cusolver_static_deps cusolver_metis_static cublasLt_static)
  endif()
  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 10.1.2)
    # cusolver depends on liblapack_static.a starting with CUDA 10.1 update 2,
    # https://docs.nvidia.com/cuda/archive/11.5.0/cusolver#static-link-lapack
    _CUDAToolkit_find_and_add_import_lib(cusolver_lapack_static ALT lapack_static) # implementation detail static lib
    list(APPEND cusolver_static_deps cusolver_lapack_static)
  endif()
  _CUDAToolkit_find_and_add_import_lib(cusolver DEPS ${cusolver_deps})
  _CUDAToolkit_find_and_add_import_lib(cusolver_static DEPS ${cusolver_static_deps})
  unset(cusolver_deps)
  unset(cusolver_static_deps)

  # nvGRAPH depends on cuRAND, and cuSOLVER.
  _CUDAToolkit_find_and_add_import_lib(nvgraph DEPS curand cusolver)
  _CUDAToolkit_find_and_add_import_lib(nvgraph_static DEPS curand_static cusolver_static)

  # Process the majority of the NPP libraries.
  foreach (cuda_lib nppial nppicc nppidei nppif nppig nppim nppist nppitc npps nppicom nppisu)
    _CUDAToolkit_find_and_add_import_lib(${cuda_lib} DEPS nppc)
    _CUDAToolkit_find_and_add_import_lib(${cuda_lib}_static DEPS nppc_static)
  endforeach()

  find_path(CUDAToolkit_CUPTI_INCLUDE_DIR cupti.h PATHS
      "${CUDAToolkit_ROOT_DIR}/extras/CUPTI/include"
      ${CUDAToolkit_INCLUDE_DIRS}
      PATH_SUFFIXES "../extras/CUPTI/include"
                    "../../../extras/CUPTI/include"
      NO_DEFAULT_PATH)
  mark_as_advanced(CUDAToolkit_CUPTI_INCLUDE_DIR)

  if(CUDAToolkit_CUPTI_INCLUDE_DIR)
    set(_cmake_cupti_extra_paths extras/CUPTI/lib64/
                                 extras/CUPTI/lib/
                                 ../extras/CUPTI/lib64/
                                 ../extras/CUPTI/lib/
                                 ../../../extras/CUPTI/lib64/
                                 ../../../extras/CUPTI/lib/)
    _CUDAToolkit_find_and_add_import_lib(cupti
                                        EXTRA_PATH_SUFFIXES ${_cmake_cupti_extra_paths}
                                        EXTRA_INCLUDE_DIRS "${CUDAToolkit_CUPTI_INCLUDE_DIR}")
    _CUDAToolkit_find_and_add_import_lib(cupti_static
                                        EXTRA_PATH_SUFFIXES ${_cmake_cupti_extra_paths}
                                        EXTRA_INCLUDE_DIRS "${CUDAToolkit_CUPTI_INCLUDE_DIR}")
    if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 10.2.0)
      _CUDAToolkit_find_and_add_import_lib(nvperf_host
                                          EXTRA_PATH_SUFFIXES ${_cmake_cupti_extra_paths}
                                          EXTRA_INCLUDE_DIRS "${CUDAToolkit_CUPTI_INCLUDE_DIR}")
      _CUDAToolkit_find_and_add_import_lib(nvperf_host_static
                                          EXTRA_PATH_SUFFIXES ${_cmake_cupti_extra_paths}
                                          EXTRA_INCLUDE_DIRS "${CUDAToolkit_CUPTI_INCLUDE_DIR}")
      _CUDAToolkit_find_and_add_import_lib(nvperf_target
                                          EXTRA_PATH_SUFFIXES ${_cmake_cupti_extra_paths}
                                          EXTRA_INCLUDE_DIRS "${CUDAToolkit_CUPTI_INCLUDE_DIR}")
    endif()
    if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 11.3.0)
      _CUDAToolkit_find_and_add_import_lib(pcsamplingutil
                                          EXTRA_PATH_SUFFIXES ${_cmake_cupti_extra_paths}
                                          EXTRA_INCLUDE_DIRS "${CUDAToolkit_CUPTI_INCLUDE_DIR}")
    endif()
  endif()

  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 11.1.0)
    if(NOT TARGET CUDA::nvptxcompiler_static)
      _CUDAToolkit_find_and_add_import_lib(nvptxcompiler_static)
      if(TARGET CUDA::nvptxcompiler_static)
        target_link_libraries(CUDA::nvptxcompiler_static INTERFACE CUDA::cudart_static_deps)
      endif()
    endif()
  endif()

  _CUDAToolkit_find_and_add_import_lib(nvrtc_builtins ALT nvrtc-builtins)
  _CUDAToolkit_find_and_add_import_lib(nvrtc)
  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 11.5.0)
    _CUDAToolkit_find_and_add_import_lib(nvrtc_builtins_static ALT nvrtc-builtins_static)
    if(NOT TARGET CUDA::nvrtc_static)
      _CUDAToolkit_find_and_add_import_lib(nvrtc_static DEPS nvrtc_builtins_static nvptxcompiler_static)
      if(TARGET CUDA::nvrtc_static AND WIN32 AND NOT (BORLAND OR MINGW OR CYGWIN))
        target_link_libraries(CUDA::nvrtc_static INTERFACE Ws2_32.lib)
      endif()
    endif()
  endif()

  _CUDAToolkit_find_and_add_import_lib(nvml ALT nvidia-ml nvml)
  _CUDAToolkit_find_and_add_import_lib(nvml_static ONLY_SEARCH_FOR libnvidia-ml.a libnvml.a)

  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 10.0)
    # Header-only variant. Uses dlopen().
    if(NOT TARGET CUDA::nvtx3)
      add_library(CUDA::nvtx3 INTERFACE IMPORTED)
      target_include_directories(CUDA::nvtx3 SYSTEM INTERFACE "${CUDAToolkit_INCLUDE_DIRS}")
      target_link_libraries(CUDA::nvtx3 INTERFACE ${CMAKE_DL_LIBS})
    endif()
  endif()
  if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 12.9)
    if(NOT TARGET CUDA::nvtx3_interop)
      _CUDAToolkit_find_and_add_import_lib(nvtx3_interop ALT nvtx3interop)
    endif()
  endif()

  # nvToolsExt is removed starting in 12.9
  if(CUDAToolkit_VERSION VERSION_LESS 12.9)
    if(WIN32)
      # nvtools can be installed outside the CUDA toolkit directory
      # so prefer the NVTOOLSEXT_PATH windows only environment variable
      # In addition on windows the most common name is nvToolsExt64_1
      find_library(CUDA_nvToolsExt_LIBRARY
        NAMES nvToolsExt64_1 nvToolsExt64 nvToolsExt
        PATHS ENV NVTOOLSEXT_PATH
              ENV CUDA_PATH
        PATH_SUFFIXES lib/x64 lib
      )
    endif()
    _CUDAToolkit_find_and_add_import_lib(nvToolsExt ALT nvToolsExt64)

    if(CUDAToolkit_VERSION VERSION_GREATER_EQUAL 10.0)
      # nvToolsExt is deprecated since nvtx3 introduction.
      # Warn only if the project requires a sufficiently new CMake to make migration possible.
      if(TARGET CUDA::nvToolsExt AND CMAKE_MINIMUM_REQUIRED_VERSION VERSION_GREATER_EQUAL 3.25)
        set_property(TARGET CUDA::nvToolsExt PROPERTY DEPRECATION "nvToolsExt has been superseded by nvtx3 since CUDA 10.0 and CMake 3.25. Use CUDA::nvtx3 and include <nvtx3/nvToolsExt.h> instead.")
      endif()
    endif()
  endif()

  _CUDAToolkit_find_and_add_import_lib(OpenCL)
endif()

if(_CUDAToolkit_Pop_ROOT_PATH)
  list(REMOVE_AT CMAKE_FIND_ROOT_PATH 0)
  unset(_CUDAToolkit_Pop_ROOT_PATH)
endif()

unset(_CUDAToolkit_win_search_dirs)
unset(_CUDAToolkit_win_stub_search_dirs)