CMakeLists.txt

#
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#  * Redistributions of source code must retain the above copyright
#	notice, this list of conditions and the following disclaimer.
#  * Redistributions in binary form must reproduce the above copyright
#	notice, this list of conditions and the following disclaimer in the
#	documentation and/or other materials provided with the distribution.
#  * Neither the name of NVIDIA CORPORATION nor the names of its
#	contributors may be used to endorse or promote products derived
#	from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#

# Welcome to the OptiX SDK build.  We have chosen CMake, because it can generate multiple
# build systems for multiple architectures from a single script.  There are many resources
# for CMake on-line at http://www.cmake.org and their wiki page,
# http://www.cmake.org/Wiki/CMake, in addition to the documentation that comes with the
# distribution.  There is also a book available if you wish to delve more deeply into
# various topics.

# If you wish to create your own project and use the SDK as a template there are a number
# of things you should do.
#
# 1. You should copy the contents of the SDK to a place of your choice.
# 
# 2. You can remove any sample's directory you don't wish to build.  Be careful about
#	the following directories.
#
#	a. CMake - contains helper scripts that make this all work.  You should keep this.
#
#	b. sutil and putil 
#			  - Almost all of the samples make use of this shared code one way or another, so
#			   you should probably keep them until you have your own frameowrk for your
#			   code.
#
#	d. data  - This directory contains the cow.obj file used as an example for
#			   many of the samples.  You can move cow.obj anywhere as long as
#			   you fix all the file paths in the samples you wish to use it in.
#
# 3. You should update the list of sub directories that CMake needs to process below (look
#	for the comment "List of samples found in subdirectories.")
#

# The basic flow of execution of this file is to do the following.
#
# 1. Setup the project and other global settings.  This involves processing some helper
#	scripts.
# 
# 2. Look for external dependencies, such as glut, DirectX, CUDA, and OptiX.
#
# 3. Process all the subdirectories' CMakeLists.txt files.  These files create all the
#	executable and library targets that are used to build the SDK.
#
# 4. As a convenience on Windows, copy the OptiX dlls into the build directories, so OptiX
#	doesn't have to be in the path to run the samples.
#
# 5. Set a CMake variable that indicates we have configured for the first time.  This
#	allows us to override and set varibles' defaults while allowing them to be modified
#	later.

# If you have any questions, don't feel shy about posting to the OptiX forums:
# https://devtalk.nvidia.com/default/board/90/


# This sets up the name of our project.  For our purposes the main thing this controls is
# the name of the VS solution file.
project(CSE-168)

# This enforces a particular version of CMake that we require to process the script files
# properly.
cmake_minimum_required(VERSION 2.8.8 FATAL_ERROR)

# As of CMake 2.6 policies were introduced in order to provide a mechanism for
# adding backwards compatibility one feature at a time.  We will just specify
# that all policies will use version 2.6 symantics.
cmake_policy(VERSION 2.6)

if( POLICY CMP0072 )
  # FindOpenGL prefers GLVND by default when available
  cmake_policy(SET CMP0072 NEW) 
endif()

# Use c++11
set (CMAKE_CXX_STANDARD 11)

# Add paths to our CMake code to the module path, so they can be found automatically by
# CMake.
set(CMAKE_MODULE_PATH
  "${CMAKE_SOURCE_DIR}/CMake"
  ${CMAKE_MODULE_PATH}
  )

# Set the default build to Release.  Note this doesn't do anything for the VS
# default build target which defaults to Debug when you first start it.
IF(NOT CMAKE_BUILD_TYPE)
  SET(CMAKE_BUILD_TYPE "Release" CACHE STRING
	  "Choose the type of build, options are: Debug Release RelWithDebInfo MinSizeRel."
	  FORCE)
ENDIF(NOT CMAKE_BUILD_TYPE)

# Tells CMake to build all the libraries as shared libraries by default.  This can be
# overrided by individual libraries later.
set(BUILD_SHARED_LIBS ON)

##########
# Process our custom setup scripts here.

# Include all CMake Macros.
include(Macros)
# Determine information about the compiler
include (CompilerInfo)
# Check for specific machine/compiler options.
include (ConfigCompilerFlags)

# Turn off the warning that NVCC issues when generating PTX from our CUDA samples.  This
# is a custom extension to the FindCUDA code distributed by CMake.
OPTION(CUDA_REMOVE_GLOBAL_MEMORY_SPACE_WARNING "Suppress the \"Advisory: Cannot tell what pointer points to, assuming global memory space\" warning nvcc makes." ON)

# For Xcode 5, gcc is actually clang, so we have to tell CUDA to treat the compiler as
# clang, so that it doesn't mistake it for something else.
if(USING_CLANG_C)
  set(CUDA_HOST_COMPILER "clang" CACHE FILEPATH "Host side compiler used by NVCC")
endif()

# CUDA 8 is broken for generating dependencies during configure
option(CUDA_GENERATE_DEPENDENCIES_DURING_CONFIGURE "Generate dependencies during configure time instead of only during build time." OFF)

# Find at least a 5.0 version of CUDA.
find_package(CUDA 5.0 REQUIRED)

# Present the CUDA_64_BIT_DEVICE_CODE on the default set of options.
mark_as_advanced(CLEAR CUDA_64_BIT_DEVICE_CODE)


# Add some useful default arguments to the NVCC and NVRTC flags.  This is an example of
# how we use PASSED_FIRST_CONFIGURE.  Once you have configured, this variable is TRUE
# and following block of code will not be executed leaving you free to edit the values
# as much as you wish from the GUI or from ccmake.
if(NOT PASSED_FIRST_CONFIGURE)
  list(FIND CUDA_NVCC_FLAGS "-arch" index)
  if(index EQUAL -1)
	list(APPEND CUDA_NVCC_FLAGS -arch sm_30)
	set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} CACHE STRING "Semi-colon delimit multiple arguments." FORCE)
  endif()
  set(flag "--use_fast_math")
  list(FIND CUDA_NVCC_FLAGS ${flag} index)
  if(index EQUAL -1)
	list(APPEND CUDA_NVCC_FLAGS ${flag})
	set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} CACHE STRING "Semi-colon delimit multiple arguments." FORCE)
  endif()

  if (CUDA_VERSION VERSION_LESS "3.0")
	set(flag "--keep")
	list(FIND CUDA_NVCC_FLAGS ${flag} index)
	if(index EQUAL -1)
	  list(APPEND CUDA_NVCC_FLAGS ${flag})
	  set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} CACHE STRING "Semi-colon delimit multiple arguments." FORCE)
	endif()
  endif()

  if( APPLE )
	# Undef'ing __BLOCKS__ for OSX builds.  This is due to a name clash between OSX 10.6
	# C headers and CUDA headers
	set(flag "-U__BLOCKS__")
	list(FIND CUDA_NVCC_FLAGS ${flag} index)
	if(index EQUAL -1)
	  list(APPEND CUDA_NVCC_FLAGS ${flag})
	  set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} CACHE STRING "Semi-colon delimit multiple arguments." FORCE)
	endif()
  endif()

  set(CUDA_NVRTC_FLAGS -arch compute_30 -use_fast_math -lineinfo -default-device -rdc true -D__x86_64 CACHE STRING "Semi-colon delimit multiple arguments." FORCE)
endif(NOT PASSED_FIRST_CONFIGURE)

mark_as_advanced(CUDA_NVRTC_FLAGS)

# This passes a preprocessor definition to cl.exe when processing CUDA code.
if(USING_WINDOWS_CL)
  list(APPEND CUDA_NVCC_FLAGS --compiler-options /D_USE_MATH_DEFINES)
endif()

# Put all the runtime stuff in the same directory.  By default, CMake puts each targets'
# output into their own directory.  We want all the targets to be put in the same
# directory, and we can do this by setting these variables.
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/bin")
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")

# Create a flag for mac which will allow apps to add the local cuda toolkit
# install path to the app's rpath.
if( APPLE )
  set( CUDA_TOOLKIT_RPATH_FLAG "-Wl,-rpath,${CUDA_TOOLKIT_ROOT_DIR}/lib" )
endif()

# Locate the NVRT distribution.  Search the SDK first, then look in the system.
set(OptiX_INSTALL_DIR "C:/ProgramData/NVIDIA Corporation/OptiX SDK 6.5.0" CACHE PATH "Path to OptiX installed location.")

# Search for the OptiX libraries and include files.
find_package(OptiX REQUIRED)

# Add the path to the OptiX headers to our include paths.
include_directories(
  "${OptiX_INCLUDE}"
  )

# Select whether to use NVRTC or NVCC to generate PTX
set(CUDA_NVRTC_ENABLED ON CACHE BOOL "Use NVRTC to compile PTX at run-time instead of NVCC at build-time")

##################################################################
# SUtil compilation

set(SAMPLES_PTX_DIR "${CMAKE_BINARY_DIR}/lib/ptx")
set(SAMPLES_DIR "${CMAKE_CURRENT_SOURCE_DIR}")

set(CUDA_GENERATED_OUTPUT_DIR ${SAMPLES_PTX_DIR})

if (WIN32)
  string(REPLACE "/" "\\\\" SAMPLES_PTX_DIR ${SAMPLES_PTX_DIR})
else (WIN32)
  if ( USING_GNU_C AND NOT APPLE)
	set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -DM_PI=3.14159265358979323846" )
  endif()
endif (WIN32)

# NVRTC include paths relative to the sample path
set(SAMPLES_RELATIVE_INCLUDE_DIRS "\\
  \"/sutil\", \\
  \"/cuda\", ")

# NVRTC absolute include paths to the headers used to build the samples
set(SAMPLES_ABSOLUTE_INCLUDE_DIRS "\\
  \"${OptiX_INCLUDE}\", \\
  \"${OptiX_INCLUDE}/optixu\", \\
  \"${CMAKE_CURRENT_SOURCE_DIR}/support/mdl-sdk/include\", \\
  \"${CUDA_INCLUDE_DIRS}\", ")

# Build a null-terminated option list for NVRTC
set(CUDA_NVRTC_OPTIONS)
foreach(flag ${CUDA_NVRTC_FLAGS})
  set(CUDA_NVRTC_OPTIONS "${CUDA_NVRTC_OPTIONS} \\\n  \"${flag}\",")
endforeach()
set(CUDA_NVRTC_OPTIONS "${CUDA_NVRTC_OPTIONS} \\\n  0,")

configure_file(sampleConfig.h.in sampleConfig.h @ONLY)

# Path to sutil.h that all the samples need
include_directories( ${CMAKE_CURRENT_SOURCE_DIR}/sutil
					 ${CMAKE_CURRENT_SOURCE_DIR}
					 ${OptiX_INCLUDE}/optixu
					 ${CMAKE_CURRENT_SOURCE_DIR}/support/mdl-sdk/include
					 ${CMAKE_CURRENT_BINARY_DIR}
					 ${CUDA_INCLUDE_DIRS} )

set(SAMPLES_SUPPORT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/support")
find_package(SUtilGLUT)

if(EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/support/mdl-sdk/include/mi/mdl_sdk.h)
  # The MDL_SDK wrapper library can only be built when the MDL SDK is available
  add_subdirectory(mdl_wrapper)
  set(USE_OWN_MDL_WRAPPER TRUE)
else()
  find_package(MDLWrapper)
endif()

set(SAMPLES_CUDA_DIR ${CMAKE_CURRENT_SOURCE_DIR}/cuda)

#########################################################
# OPTIX_add_sample_executable
#
# Convience function for adding samples to the code.  You can copy the contents of this
# funtion into your individual project if you wish to customize the behavior.  Note that
# in CMake, functions have their own scope, whereas macros use the scope of the caller.
function(OPTIX_add_sample_executable target_name)

  # These calls will group PTX and CUDA files into their own directories in the Visual
  # Studio projects.
  if (NOT CUDA_NVRTC_ENABLED)
	source_group("PTX Files"  REGULAR_EXPRESSION ".+\\.ptx$")
  endif()
  source_group("CUDA Files" REGULAR_EXPRESSION ".+\\.cu$")

  # Separate the sources from the CMake and CUDA options fed to the macro.  This code
  # comes from the CUDA_COMPILE_PTX macro found in FindCUDA.cmake.  We are copying the
  # code here, so that we can use our own name for the target.  target_name is used in the
  # creation of the output file names, and we want this to be unique for each target in
  # the SDK.
  CUDA_GET_SOURCES_AND_OPTIONS(source_files cmake_options options ${ARGN})

  if (CUDA_NVRTC_ENABLED)
  
	# Isolate OBJ target files. NVCC should only process these files and leave PTX targets for NVRTC
	set(cu_obj_source_files)
	foreach(file ${source_files})
	  get_source_file_property(_cuda_source_format ${file} CUDA_SOURCE_PROPERTY_FORMAT)
	  if(${_cuda_source_format} MATCHES "OBJ")
		list(APPEND cu_obj_source_files ${file})
	  endif()
	endforeach()

	# Create the rules to build the OBJ from the CUDA files.
	CUDA_WRAP_SRCS( ${target_name} OBJ generated_files ${cu_obj_source_files} ${cmake_options} OPTIONS ${options} )
  else()
  
	# Create the rules to build the PTX and OBJ from the CUDA files.
	CUDA_WRAP_SRCS( ${target_name} PTX generated_files ${source_files} ${cmake_options} OPTIONS ${options} )
  endif()
  

  # Here is where we create the rule to make the executable.  We define a target name and
  # list all the source files used to create the target.  In addition we also pass along
  # the cmake_options parsed out of the arguments.
  add_executable(${target_name}
	${source_files}
	${generated_files}
	${cmake_options}
	)

  # Most of the samples link against the sutil library and the optix library.  Here is the
  # rule that specifies this linkage.
  target_link_libraries( ${target_name}
	sutil_sdk
	optix
	${optix_rpath}
	)

  if( UNIX AND NOT APPLE )
	# Force using RPATH instead of RUNPATH on Debian
	target_link_libraries( ${target_name} "-Wl,--disable-new-dtags" )
  endif()

  if(USING_GNU_CXX)
	target_link_libraries( ${target_name} m ) # Explicitly link against math library (C samples don't do that by default)
  endif()
endfunction()

#########################################################
#  List of samples found in subdirectories.
#
# If you wish to start your own sample, you can copy one of the sample's directories.
# Just make sure you rename all the occurances of the sample's name in the C code as well
# and the CMakeLists.txt file.
add_subdirectory(OptiXRenderer)

# Our sutil library.  The rules to build it are found in the subdirectory.
add_subdirectory(sutil)

# This copies out dlls into the build directories, so that users no longer need to copy
# them over in order to run the samples.  This depends on the optixHello sample being compiled.
# If you remove this sample from the list of compiled samples, then you should change
# "optixHello" found below to the name of one of your other samples.
if(WIN32)
  if(CMAKE_SIZEOF_VOID_P EQUAL 8 AND NOT APPLE)
	set(bit_dest "64")
  else()
	set(bit_dest "")
  endif()
  foreach(config ${CMAKE_CONFIGURATION_TYPES})
	cmake_policy(SET CMP0026 OLD)  # disable warning about LOCATION property
	get_target_property(loc OptiXRenderer ${config}_LOCATION)
	if(loc)
	  # A little helper function
	  function(copy_dll lib)
		get_filename_component(path ${loc} PATH)
		get_filename_component(name ${lib} NAME)
		#message("${CMAKE_COMMAND} -E copy_if_different ${lib} ${path}/${name}")
		execute_process(COMMAND ${CMAKE_COMMAND} -E copy_if_different ${lib} ${path}/${name})
	  endfunction()
	  
	  # Copy the binary directory into the build directory
	  file(GLOB dlls "${OptiX_INSTALL_DIR}/bin${bit_dest}/*.dll")
	  foreach(file ${dlls})
		copy_dll("${file}")
	  endforeach()

	  # Copy the shipped MDL DLLs into the build directory if we didn't build our own
	  if(NOT USE_OWN_MDL_WRAPPER)
		file(GLOB dlls "${OptiX_INSTALL_DIR}/SDK/support/mdl_wrapper/lib/*.dll")
		foreach(file ${dlls})
		  copy_dll("${file}")
		endforeach()
	  endif()
	else()
	  message(WARNING "Unable to find location to copy DLLs into the build")
	endif()
  endforeach()
endif(WIN32)

#################################################################

# Now that everything is done, indicate that we have finished configuring at least once.
# We use this variable to set certain defaults only on the first pass, so that we don't
# continually set them over and over again.
set(PASSED_FIRST_CONFIGURE ON CACHE INTERNAL "Already Configured once?")