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Open Source Computer Vision Library
https://opencv.org/
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289 lines
11 KiB
289 lines
11 KiB
11 years ago
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# James Bigler, NVIDIA Corp (nvidia.com - jbigler)
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#
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# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved.
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#
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# This code is licensed under the MIT License. See the FindCUDA.cmake script
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# for the text of the license.
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# The MIT License
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#
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# License for the specific language governing rights and limitations under
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# Permission is hereby granted, free of charge, to any person obtaining a
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# copy of this software and associated documentation files (the "Software"),
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# to deal in the Software without restriction, including without limitation
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# the rights to use, copy, modify, merge, publish, distribute, sublicense,
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# and/or sell copies of the Software, and to permit persons to whom the
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# Software is furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included
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# in all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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# DEALINGS IN THE SOFTWARE.
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##########################################################################
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# This file runs the nvcc commands to produce the desired output file along with
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# the dependency file needed by CMake to compute dependencies. In addition the
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# file checks the output of each command and if the command fails it deletes the
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# output files.
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# Input variables
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#
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# verbose:BOOL=<> OFF: Be as quiet as possible (default)
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# ON : Describe each step
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#
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# build_configuration:STRING=<> Typically one of Debug, MinSizeRel, Release, or
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# RelWithDebInfo, but it should match one of the
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# entries in CUDA_HOST_FLAGS. This is the build
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# configuration used when compiling the code. If
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# blank or unspecified Debug is assumed as this is
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# what CMake does.
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#
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# generated_file:STRING=<> File to generate. This argument must be passed in.
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#
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# generated_cubin_file:STRING=<> File to generate. This argument must be passed
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# in if build_cubin is true.
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if(NOT generated_file)
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message(FATAL_ERROR "You must specify generated_file on the command line")
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endif()
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# Set these up as variables to make reading the generated file easier
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set(CMAKE_COMMAND "@CMAKE_COMMAND@") # path
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set(source_file "@source_file@") # path
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set(NVCC_generated_dependency_file "@NVCC_generated_dependency_file@") # path
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set(cmake_dependency_file "@cmake_dependency_file@") # path
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set(CUDA_make2cmake "@CUDA_make2cmake@") # path
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set(CUDA_parse_cubin "@CUDA_parse_cubin@") # path
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set(build_cubin @build_cubin@) # bool
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set(CUDA_HOST_COMPILER "@CUDA_HOST_COMPILER@") # bool
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# We won't actually use these variables for now, but we need to set this, in
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# order to force this file to be run again if it changes.
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set(generated_file_path "@generated_file_path@") # path
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set(generated_file_internal "@generated_file@") # path
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set(generated_cubin_file_internal "@generated_cubin_file@") # path
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set(CUDA_NVCC_EXECUTABLE "@CUDA_NVCC_EXECUTABLE@") # path
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set(CUDA_NVCC_FLAGS @CUDA_NVCC_FLAGS@ ;; @CUDA_WRAP_OPTION_NVCC_FLAGS@) # list
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@CUDA_NVCC_FLAGS_CONFIG@
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set(nvcc_flags @nvcc_flags@) # list
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set(CUDA_NVCC_INCLUDE_ARGS "@CUDA_NVCC_INCLUDE_ARGS@") # list (needs to be in quotes to handle spaces properly).
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set(format_flag "@format_flag@") # string
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if(build_cubin AND NOT generated_cubin_file)
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message(FATAL_ERROR "You must specify generated_cubin_file on the command line")
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endif()
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# This is the list of host compilation flags. It C or CXX should already have
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# been chosen by FindCUDA.cmake.
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@CUDA_HOST_FLAGS@
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# Take the compiler flags and package them up to be sent to the compiler via -Xcompiler
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set(nvcc_host_compiler_flags "")
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# If we weren't given a build_configuration, use Debug.
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if(NOT build_configuration)
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set(build_configuration Debug)
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endif()
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string(TOUPPER "${build_configuration}" build_configuration)
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#message("CUDA_NVCC_HOST_COMPILER_FLAGS = ${CUDA_NVCC_HOST_COMPILER_FLAGS}")
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foreach(flag ${CMAKE_HOST_FLAGS} ${CMAKE_HOST_FLAGS_${build_configuration}})
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# Extra quotes are added around each flag to help nvcc parse out flags with spaces.
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set(nvcc_host_compiler_flags "${nvcc_host_compiler_flags},\"${flag}\"")
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endforeach()
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if (nvcc_host_compiler_flags)
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set(nvcc_host_compiler_flags "-Xcompiler" ${nvcc_host_compiler_flags})
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endif()
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#message("nvcc_host_compiler_flags = \"${nvcc_host_compiler_flags}\"")
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# Add the build specific configuration flags
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list(APPEND CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS_${build_configuration}})
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# Any -ccbin existing in CUDA_NVCC_FLAGS gets highest priority
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list( FIND CUDA_NVCC_FLAGS "-ccbin" ccbin_found0 )
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list( FIND CUDA_NVCC_FLAGS "--compiler-bindir" ccbin_found1 )
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if( ccbin_found0 LESS 0 AND ccbin_found1 LESS 0 )
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if (CUDA_HOST_COMPILER STREQUAL "$(VCInstallDir)bin" AND DEFINED CCBIN)
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set(CCBIN -ccbin "${CCBIN}")
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else()
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set(CCBIN -ccbin "${CUDA_HOST_COMPILER}")
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endif()
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endif()
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# cuda_execute_process - Executes a command with optional command echo and status message.
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#
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# status - Status message to print if verbose is true
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# command - COMMAND argument from the usual execute_process argument structure
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# ARGN - Remaining arguments are the command with arguments
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#
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# CUDA_result - return value from running the command
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#
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# Make this a macro instead of a function, so that things like RESULT_VARIABLE
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# and other return variables are present after executing the process.
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macro(cuda_execute_process status command)
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set(_command ${command})
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if(NOT _command STREQUAL "COMMAND")
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message(FATAL_ERROR "Malformed call to cuda_execute_process. Missing COMMAND as second argument. (command = ${command})")
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endif()
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if(verbose)
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execute_process(COMMAND "${CMAKE_COMMAND}" -E echo -- ${status})
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# Now we need to build up our command string. We are accounting for quotes
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# and spaces, anything else is left up to the user to fix if they want to
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# copy and paste a runnable command line.
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set(cuda_execute_process_string)
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foreach(arg ${ARGN})
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# If there are quotes, excape them, so they come through.
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string(REPLACE "\"" "\\\"" arg ${arg})
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# Args with spaces need quotes around them to get them to be parsed as a single argument.
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if(arg MATCHES " ")
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list(APPEND cuda_execute_process_string "\"${arg}\"")
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else()
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list(APPEND cuda_execute_process_string ${arg})
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endif()
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endforeach()
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# Echo the command
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execute_process(COMMAND ${CMAKE_COMMAND} -E echo ${cuda_execute_process_string})
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endif()
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# Run the command
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execute_process(COMMAND ${ARGN} RESULT_VARIABLE CUDA_result )
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endmacro()
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# Delete the target file
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cuda_execute_process(
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"Removing ${generated_file}"
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COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}"
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)
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# For CUDA 2.3 and below, -G -M doesn't work, so remove the -G flag
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# for dependency generation and hope for the best.
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set(depends_CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS}")
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set(CUDA_VERSION @CUDA_VERSION@)
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if(CUDA_VERSION VERSION_LESS "3.0")
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cmake_policy(PUSH)
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# CMake policy 0007 NEW states that empty list elements are not
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# ignored. I'm just setting it to avoid the warning that's printed.
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cmake_policy(SET CMP0007 NEW)
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# Note that this will remove all occurances of -G.
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list(REMOVE_ITEM depends_CUDA_NVCC_FLAGS "-G")
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cmake_policy(POP)
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endif()
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# nvcc doesn't define __CUDACC__ for some reason when generating dependency files. This
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# can cause incorrect dependencies when #including files based on this macro which is
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# defined in the generating passes of nvcc invokation. We will go ahead and manually
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# define this for now until a future version fixes this bug.
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set(CUDACC_DEFINE -D__CUDACC__)
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# Generate the dependency file
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cuda_execute_process(
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"Generating dependency file: ${NVCC_generated_dependency_file}"
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COMMAND "${CUDA_NVCC_EXECUTABLE}"
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-M
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${CUDACC_DEFINE}
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"${source_file}"
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-o "${NVCC_generated_dependency_file}"
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${CCBIN}
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${nvcc_flags}
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${nvcc_host_compiler_flags}
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${depends_CUDA_NVCC_FLAGS}
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-DNVCC
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${CUDA_NVCC_INCLUDE_ARGS}
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)
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if(CUDA_result)
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message(FATAL_ERROR "Error generating ${generated_file}")
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endif()
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# Generate the cmake readable dependency file to a temp file. Don't put the
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# quotes just around the filenames for the input_file and output_file variables.
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# CMake will pass the quotes through and not be able to find the file.
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cuda_execute_process(
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"Generating temporary cmake readable file: ${cmake_dependency_file}.tmp"
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COMMAND "${CMAKE_COMMAND}"
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-D "input_file:FILEPATH=${NVCC_generated_dependency_file}"
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-D "output_file:FILEPATH=${cmake_dependency_file}.tmp"
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-P "${CUDA_make2cmake}"
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)
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if(CUDA_result)
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message(FATAL_ERROR "Error generating ${generated_file}")
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endif()
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# Copy the file if it is different
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cuda_execute_process(
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"Copy if different ${cmake_dependency_file}.tmp to ${cmake_dependency_file}"
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COMMAND "${CMAKE_COMMAND}" -E copy_if_different "${cmake_dependency_file}.tmp" "${cmake_dependency_file}"
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)
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if(CUDA_result)
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message(FATAL_ERROR "Error generating ${generated_file}")
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endif()
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# Delete the temporary file
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cuda_execute_process(
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"Removing ${cmake_dependency_file}.tmp and ${NVCC_generated_dependency_file}"
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COMMAND "${CMAKE_COMMAND}" -E remove "${cmake_dependency_file}.tmp" "${NVCC_generated_dependency_file}"
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)
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if(CUDA_result)
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message(FATAL_ERROR "Error generating ${generated_file}")
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endif()
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# Generate the code
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cuda_execute_process(
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"Generating ${generated_file}"
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COMMAND "${CUDA_NVCC_EXECUTABLE}"
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"${source_file}"
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${format_flag} -o "${generated_file}"
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${CCBIN}
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${nvcc_flags}
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${nvcc_host_compiler_flags}
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${CUDA_NVCC_FLAGS}
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-DNVCC
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${CUDA_NVCC_INCLUDE_ARGS}
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)
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if(CUDA_result)
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# Since nvcc can sometimes leave half done files make sure that we delete the output file.
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cuda_execute_process(
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"Removing ${generated_file}"
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COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}"
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)
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message(FATAL_ERROR "Error generating file ${generated_file}")
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else()
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if(verbose)
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message("Generated ${generated_file} successfully.")
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endif()
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endif()
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# Cubin resource report commands.
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if( build_cubin )
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# Run with -cubin to produce resource usage report.
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cuda_execute_process(
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"Generating ${generated_cubin_file}"
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COMMAND "${CUDA_NVCC_EXECUTABLE}"
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"${source_file}"
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${CUDA_NVCC_FLAGS}
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${nvcc_flags}
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${CCBIN}
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${nvcc_host_compiler_flags}
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-DNVCC
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-cubin
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-o "${generated_cubin_file}"
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${CUDA_NVCC_INCLUDE_ARGS}
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)
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# Execute the parser script.
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cuda_execute_process(
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"Executing the parser script"
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COMMAND "${CMAKE_COMMAND}"
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-D "input_file:STRING=${generated_cubin_file}"
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-P "${CUDA_parse_cubin}"
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)
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endif()
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