1 files changed, 785 insertions, 0 deletions
diff --git a/Modules/FindCUDAToolkit.cmake b/Modules/FindCUDAToolkit.cmake
new file mode 100644
index 0000000..1837694
--- /dev/null
+++ b/Modules/FindCUDAToolkit.cmake
@@ -0,0 +1,785 @@
+# Distributed under the OSI-approved BSD 3-Clause License.  See accompanying
+# file Copyright.txt or https://cmake.org/licensing for details.
+
+#[=======================================================================[.rst:
+FindCUDAToolkit
+---------------
+
+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.
+
+Search Behavior
+^^^^^^^^^^^^^^^
+
+Finding the CUDA Toolkit requires finding the ``nvcc`` executable, which is
+searched for in 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 ``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`` can be
+   found underneath the directory specified by ``CUDAToolkit_ROOT``.  If
+   ``CUDAToolkit_ROOT`` is specified, but no ``nvcc`` is found underneath, this
+   package is marked as **not** found.  No subsequent search attempts are
+   performed.
+
+3. If the CUDA_PATH environment variable is defined, it will be searched.
+
+4. 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.
+
+5. 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.
+
+6. 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.
+
+Options
+^^^^^^^
+
+``VERSION``
+    If specified, describes the version of the CUDA Toolkit to search for.
+
+``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:
+
+- :ref:`CUDA Runtime Library<cuda_toolkit_rt_lib>`
+- :ref:`CUDA Driver Library<cuda_toolkit_driver_lib>`
+- :ref:`cuBLAS<cuda_toolkit_cuBLAS>`
+- :ref:`cuFFT<cuda_toolkit_cuFFT>`
+- :ref:`cuRAND<cuda_toolkit_cuRAND>`
+- :ref:`cuSOLVER<cuda_toolkit_cuSOLVER>`
+- :ref:`cuSPARSE<cuda_toolkit_cuSPARSE>`
+- :ref:`NPP<cuda_toolkit_NPP>`
+- :ref:`nvBLAS<cuda_toolkit_nvBLAS>`
+- :ref:`nvGRAPH<cuda_toolkit_nvGRAPH>`
+- :ref:`nvJPEG<cuda_toolkit_nvJPEG>`
+- :ref:`nvidia-ML<cuda_toolkit_nvML>`
+- :ref:`nvRTC<cuda_toolkit_nvRTC>`
+- :ref:`nvToolsExt<cuda_toolkit_nvToolsExt>`
+- :ref:`OpenCL<cuda_toolkit_opencl>`
+- :ref:`cuLIBOS<cuda_toolkit_cuLIBOS>`
+
+.. _`cuda_toolkit_rt_lib`:
+
+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`.
+They are an explicit dependency of almost every library.
+
+Targets Created:
+
+- ``CUDA::cudart``
+- ``CUDA::cudart_static``
+
+.. _`cuda_toolkit_driver_lib`:
+
+CUDA Driver Library
+""""""""""""""""""""
+
+The CUDA Driver library (cuda) are used by applications that use calls
+such as `cuMemAlloc`, and `cuMemFree`. This is generally used by advanced
+
+
+Targets Created:
+
+- ``CUDA::cuda_driver``
+- ``CUDA::cuda_driver``
+
+.. _`cuda_toolkit_cuBLAS`:
+
+cuBLAS
+""""""
+
+The `cuBLAS <https://docs.nvidia.com/cuda/cublas/index.html>`_ library.
+
+Targets Created:
+
+- ``CUDA::cublas``
+- ``CUDA::cublas_static``
+
+.. _`cuda_toolkit_cuFFT`:
+
+cuFFT
+"""""
+
+The `cuFFT <https://docs.nvidia.com/cuda/cufft/index.html>`_ library.
+
+Targets Created:
+
+- ``CUDA::cufft``
+- ``CUDA::cufftw``
+- ``CUDA::cufft_static``
+- ``CUDA::cufftw_static``
+
+cuRAND
+""""""
+
+The `cuRAND <https://docs.nvidia.com/cuda/curand/index.html>`_ library.
+
+Targets Created:
+
+- ``CUDA::curand``
+- ``CUDA::curand_static``
+
+.. _`cuda_toolkit_cuSOLVER`:
+
+cuSOLVER
+""""""""
+
+The `cuSOLVER <https://docs.nvidia.com/cuda/cusolver/index.html>`_ library.
+
+Targets Created:
+
+- ``CUDA::cusolver``
+- ``CUDA::cusolver_static``
+
+.. _`cuda_toolkit_cuSPARSE`:
+
+cuSPARSE
+""""""""
+
+The `cuSPARSE <https://docs.nvidia.com/cuda/cusparse/index.html>`_ library.
+
+Targets Created:
+
+- ``CUDA::cusparse``
+- ``CUDA::cusparse_static``
+
+.. _`cuda_toolkit_NPP`:
+
+NPP
+"""
+
+The `NPP <https://docs.nvidia.com/cuda/npp/index.html>`_ 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`
+
+  - ``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``
+
+.. _`cuda_toolkit_nvBLAS`:
+
+nvBLAS
+""""""
+
+The `nvBLAS <https://docs.nvidia.com/cuda/nvblas/index.html>`_ libraries.
+This is a shared library only.
+
+Targets Created:
+
+- ``CUDA::nvblas``
+
+.. _`cuda_toolkit_nvGRAPH`:
+
+nvGRAPH
+"""""""
+
+The `nvGRAPH <https://docs.nvidia.com/cuda/nvgraph/index.html>`_ library.
+
+Targets Created:
+
+- ``CUDA::nvgraph``
+- ``CUDA::nvgraph_static``
+
+
+.. _`cuda_toolkit_nvJPEG`:
+
+nvJPEG
+""""""
+
+The `nvJPEG <https://docs.nvidia.com/cuda/nvjpeg/index.html>`_ library.
+Introduced in CUDA 10.
+
+Targets Created:
+
+- ``CUDA::nvjpeg``
+- ``CUDA::nvjpeg_static``
+
+.. _`cuda_toolkit_nvRTC`:
+
+nvRTC
+"""""
+
+The `nvRTC <https://docs.nvidia.com/cuda/nvrtc/index.html>`_ (Runtime Compilation) library.
+This is a shared library only.
+
+Targets Created:
+
+- ``CUDA::nvrtc``
+
+.. _`cuda_toolkit_nvml`:
+
+nvidia-ML
+"""""""""
+
+The `NVIDIA Management Library <https://developer.nvidia.com/nvidia-management-library-nvml>`_.
+This is a shared library only.
+
+Targets Created:
+
+- ``CUDA::nvml``
+
+.. _`cuda_toolkit_opencl`:
+
+.. _`cuda_toolkit_nvToolsExt`:
+
+nvToolsExt
+""""""""""
+
+The `NVIDIA Tools Extension <https://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm>`_.
+This is a shared library only.
+
+Targets Created:
+
+- ``CUDA::nvToolsExt``
+
+OpenCL
+""""""
+
+The `NVIDIA OpenCL Library <https://developer.nvidia.com/opencl>`_.
+This is a shared library only.
+
+Targets Created:
+
+- ``CUDA::OpenCL``
+
+.. _`cuda_toolkit_cuLIBOS`:
+
+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.
+
+.. _`cuda_toolkit_cuRAND`:
+
+
+
+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``).
+
+``CUDAToolkit_VERSION_MAJOR``
+    The major version of the CUDA Toolkit.
+
+``CUDAToolkit_VERSION_MAJOR``
+    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``
+    The path to the CUDA Toolkit ``include`` folder containing the 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_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.
+#
+###############################################################################
+
+if(CMAKE_CUDA_COMPILER_LOADED AND NOT CUDAToolkit_BIN_DIR)
+  get_filename_component(cuda_dir "${CMAKE_CUDA_COMPILER}" DIRECTORY)
+  # use the already detected cuda compiler
+  set(CUDAToolkit_BIN_DIR "${cuda_dir}" CACHE PATH "")
+  unset(cuda_dir)
+endif()
+
+# Try language- or user-provided path first.
+if(CUDAToolkit_BIN_DIR)
+  find_program(CUDAToolkit_NVCC_EXECUTABLE
+    NAMES nvcc nvcc.exe
+    PATHS ${CUDAToolkit_BIN_DIR}
+    NO_DEFAULT_PATH
+    )
+endif()
+
+# Search using CUDAToolkit_ROOT
+find_program(CUDAToolkit_NVCC_EXECUTABLE
+  NAMES nvcc nvcc.exe
+  PATHS ENV CUDA_PATH
+  PATH_SUFFIXES bin
+)
+
+# If the user specified CUDAToolkit_ROOT but nvcc could not be found, this is an error.
+if (NOT CUDAToolkit_NVCC_EXECUTABLE AND (DEFINED CUDAToolkit_ROOT OR DEFINED ENV{CUDAToolkit_ROOT}))
+  # Declare error messages now, print later depending on find_package args.
+  set(fail_base "Could not find nvcc executable in path specified by")
+  set(cuda_root_fail "${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 ${env_cuda_root_fail})
+      endif()
+    endif()
+    set(CUDAToolkit_FOUND FALSE)
+    unset(fail_base)
+    unset(cuda_root_fail)
+    unset(env_cuda_root_fail)
+    return()
+  endif()
+endif()
+
+# CUDAToolkit_ROOT cmake / env variable not specified, try platform defaults.
+#
+# - Linux: /usr/local/cuda-X.Y
+# - macOS: /Developer/NVIDIA/CUDA-X.Y
+# - Windows: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y
+#
+# We will also search the default symlink location /usr/local/cuda first since
+# if CUDAToolkit_ROOT is not specified, it is assumed that the symlinked
+# directory is the desired location.
+if (NOT CUDAToolkit_NVCC_EXECUTABLE)
+  if (UNIX)
+    if (NOT APPLE)
+      set(platform_base "/usr/local/cuda-")
+    else()
+      set(platform_base "/Developer/NVIDIA/CUDA-")
+    endif()
+  else()
+    set(platform_base "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v")
+  endif()
+
+  # Build out a descending list of possible cuda installations, e.g.
+  file(GLOB possible_paths "${platform_base}*")
+  # Iterate the glob results and create a descending list.
+  set(possible_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 possible_versions ${p_version})
+    endif()
+  endforeach()
+
+  # Cannot use list(SORT) because that is alphabetical, we need numerical.
+  # NOTE: this is not an efficient sorting strategy.  But even if a user had
+  # every possible version of CUDA installed, this wouldn't create any
+  # significant overhead.
+  set(versions)
+  foreach (v ${possible_versions})
+    list(LENGTH versions num_versions)
+    # First version, nothing to compare with so just append.
+    if (num_versions EQUAL 0)
+      list(APPEND versions ${v})
+    else()
+      # Loop through list.  Insert at an index when comparison is
+      # VERSION_GREATER since we want a descending list.  Duplicates will not
+      # happen since this came from a glob list of directories.
+      set(i 0)
+      set(early_terminate FALSE)
+      while (i LESS num_versions)
+        list(GET versions ${i} curr)
+        if (v VERSION_GREATER curr)
+          list(INSERT versions ${i} ${v})
+          set(early_terminate TRUE)
+          break()
+        endif()
+        math(EXPR i "${i} + 1")
+      endwhile()
+      # If it did not get inserted, place it at the end.
+      if (NOT early_terminate)
+        list(APPEND versions ${v})
+      endif()
+    endif()
+  endforeach()
+
+  # 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(CUDAToolkit_NVCC_EXECUTABLE
+    NAMES nvcc nvcc.exe
+    PATHS ${search_paths}
+    PATH_SUFFIXES bin
+  )
+
+  # We are done with these variables now, cleanup for caller.
+  unset(platform_base)
+  unset(possible_paths)
+  unset(possible_versions)
+  unset(versions)
+  unset(i)
+  unset(early_terminate)
+  unset(search_paths)
+
+  if (NOT CUDAToolkit_NVCC_EXECUTABLE)
+    if (CUDAToolkit_FIND_REQUIRED)
+      message(FATAL_ERROR "Could not find nvcc, please set CUDAToolkit_ROOT.")
+    elseif(NOT CUDAToolkit_FIND_QUIETLY)
+      message(STATUS "Could not find nvcc, please set CUDAToolkit_ROOT.")
+    endif()
+
+    set(CUDAToolkit_FOUND FALSE)
+    return()
+  endif()
+endif()
+
+if(NOT CUDAToolkit_BIN_DIR AND CUDAToolkit_NVCC_EXECUTABLE)
+  get_filename_component(cuda_dir "${CUDAToolkit_NVCC_EXECUTABLE}" DIRECTORY)
+  set(CUDAToolkit_BIN_DIR "${cuda_dir}" CACHE PATH "" FORCE)
+  unset(cuda_dir)
+endif()
+
+if(CUDAToolkit_NVCC_EXECUTABLE AND
+   CUDAToolkit_NVCC_EXECUTABLE STREQUAL CMAKE_CUDA_COMPILER)
+  # Need to set these based off the already computed CMAKE_CUDA_COMPILER_VERSION value
+  # This if statement will always match, but is used to provide variables for MATCH 1,2,3...
+  if(CMAKE_CUDA_COMPILER_VERSION MATCHES [=[([0-9]+)\.([0-9]+)\.([0-9]+)]=])
+    set(CUDAToolkit_VERSION_MAJOR "${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()
+else()
+  # 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)
+endif()
+
+
+get_filename_component(CUDAToolkit_ROOT_DIR ${CUDAToolkit_BIN_DIR} DIRECTORY ABSOLUTE)
+
+# Now that we have the real ROOT_DIR, find components inside it.
+list(APPEND CMAKE_PREFIX_PATH ${CUDAToolkit_ROOT_DIR})
+
+# Find the include/ directory
+find_path(CUDAToolkit_INCLUDE_DIR
+  NAMES cuda_runtime.h
+)
+
+# And find the CUDA Runtime Library libcudart
+find_library(CUDA_CUDART
+  NAMES cudart
+  PATH_SUFFIXES lib64 lib/x64
+)
+if (NOT CUDA_CUDART AND NOT CUDAToolkit_FIND_QUIETLY)
+  message(STATUS "Unable to find cudart library.")
+endif()
+
+unset(CUDAToolkit_ROOT_DIR)
+list(REMOVE_AT CMAKE_PREFIX_PATH -1)
+
+#-----------------------------------------------------------------------------
+# Perform version comparison and validate all required variables are set.
+include(${CMAKE_CURRENT_LIST_DIR}/FindPackageHandleStandardArgs.cmake)
+find_package_handle_standard_args(CUDAToolkit
+  REQUIRED_VARS
+    CUDAToolkit_INCLUDE_DIR
+    CUDA_CUDART
+    CUDAToolkit_NVCC_EXECUTABLE
+  VERSION_VAR
+    CUDAToolkit_VERSION
+)
+
+#-----------------------------------------------------------------------------
+# Construct result variables
+if(CUDAToolkit_FOUND)
+ set(CUDAToolkit_INCLUDE_DIRS ${CUDAToolkit_INCLUDE_DIR})
+ get_filename_component(CUDAToolkit_LIBRARY_DIR ${CUDA_CUDART} DIRECTORY ABSOLUTE)
+endif()
+
+#-----------------------------------------------------------------------------
+# Construct import targets
+if(CUDAToolkit_FOUND)
+
+  function(find_and_add_cuda_import_lib lib_name)
+
+    if(ARGC GREATER 1)
+      set(search_names ${ARGN})
+    else()
+      set(search_names ${lib_name})
+    endif()
+
+    find_library(CUDA_${lib_name}_LIBRARY
+      NAMES ${search_names}
+      PATHS ${CUDAToolkit_LIBRARY_DIR}
+            ENV CUDA_PATH
+      PATH_SUFFIXES nvidia/current lib64 lib/x64 lib
+    )
+
+    if (NOT CUDA::${lib_name} AND CUDA_${lib_name}_LIBRARY)
+      add_library(CUDA::${lib_name} IMPORTED INTERFACE)
+      target_include_directories(CUDA::${lib_name} SYSTEM INTERFACE "${CUDAToolkit_INCLUDE_DIRS}")
+      target_link_libraries(CUDA::${lib_name} INTERFACE "${CUDA_${lib_name}_LIBRARY}")
+    endif()
+  endfunction()
+
+  function(add_cuda_link_dependency lib_name)
+    foreach(dependency IN LISTS ${ARGN})
+      target_link_libraries(CUDA::${lib_name} INTERFACE CUDA::${dependency})
+    endforeach()
+  endfunction()
+
+  add_library(CUDA::toolkit IMPORTED INTERFACE)
+  target_include_directories(CUDA::toolkit SYSTEM INTERFACE "${CUDAToolkit_INCLUDE_DIRS}")
+  target_link_directories(CUDA::toolkit INTERFACE "${CUDAToolkit_LIBRARY_DIR}")
+
+
+  find_and_add_cuda_import_lib(cuda_driver cuda)
+
+  find_and_add_cuda_import_lib(cudart)
+  find_and_add_cuda_import_lib(cudart_static)
+
+  foreach (cuda_lib cublas cufft cufftw curand cusolver cusparse nvgraph nvjpeg)
+    find_and_add_cuda_import_lib(${cuda_lib})
+    add_cuda_link_dependency(${cuda_lib} cudart)
+
+    find_and_add_cuda_import_lib(${cuda_lib}_static)
+    add_cuda_link_dependency(${cuda_lib}_static cudart_static)
+  endforeach()
+
+  # cuSOLVER depends on cuBLAS, and cuSPARSE
+  add_cuda_link_dependency(cusolver cublas cusparse)
+  add_cuda_link_dependency(cusolver_static cublas_static cusparse)
+
+  # nvGRAPH depends on cuRAND, and cuSOLVER.
+  add_cuda_link_dependency(nvgraph curand cusolver)
+  add_cuda_link_dependency(nvgraph_static curand_static cusolver_static)
+
+  find_and_add_cuda_import_lib(nppc)
+  find_and_add_cuda_import_lib(nppc_static)
+
+  add_cuda_link_dependency(nppc cudart)
+  add_cuda_link_dependency(nppc_static cudart_static culibos)
+
+  # Process the majority of the NPP libraries.
+  foreach (cuda_lib nppial nppicc nppidei nppif nppig nppim nppist nppitc npps nppicom nppisu)
+    find_and_add_cuda_import_lib(${cuda_lib})
+    find_and_add_cuda_import_lib(${cuda_lib}_static)
+    add_cuda_link_dependency(${cuda_lib} nppc)
+    add_cuda_link_dependency(${cuda_lib}_static nppc_static)
+  endforeach()
+
+  find_and_add_cuda_import_lib(nvrtc)
+  add_cuda_link_dependency(nvrtc cuda_driver)
+
+  find_and_add_cuda_import_lib(nvml nvidia-ml nvml)
+
+  if(WIN32)
+    # nvtools can be installed outside the CUDA toolkit directory
+    # so prefer the NVTOOLSEXT_PATH windows only environment variable
+    # In addition on windows the most common name is nvToolsExt64_1
+    find_library(CUDA_nvToolsExt_LIBRARY
+      NAMES nvToolsExt64_1 nvToolsExt64 nvToolsExt
+      PATHS ENV NVTOOLSEXT_PATH
+            ENV CUDA_PATH
+      PATH_SUFFIXES lib/x64 lib
+    )
+  endif()
+  find_and_add_cuda_import_lib(nvToolsExt nvToolsExt nvToolsExt64)
+
+  add_cuda_link_dependency(nvToolsExt cudart)
+
+  find_and_add_cuda_import_lib(OpenCL)
+
+  find_and_add_cuda_import_lib(culibos)
+  if(TARGET CUDA::culibos)
+    foreach (cuda_lib cublas cufft cusparse curand nvjpeg)
+      add_cuda_link_dependency(${cuda_lib}_static culibos)
+    endforeach()
+  endif()
+
+endif()