Perform clang-tidy on both cpp and cuda source. (#4034)
* Basic script for using compilation database. * Add `GENERATE_COMPILATION_DATABASE' to CMake. * Rearrange CMakeLists.txt. * Add basic python clang-tidy script. * Remove modernize-use-auto. * Add clang-tidy to Jenkins * Refine logic for correct path detection In Jenkins, the project root is of form /home/ubuntu/workspace/xgboost_PR-XXXX * Run clang-tidy in CUDA 9.2 container * Use clang_tidy container
This commit is contained in:
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8905df4a18
@ -1,4 +1,4 @@
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Checks: 'modernize-*,-modernize-make-*,-modernize-raw-string-literal,google-*,-google-default-arguments,-clang-diagnostic-#pragma-messages,readability-identifier-naming'
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Checks: 'modernize-*,-modernize-make-*,-modernize-use-auto,-modernize-raw-string-literal,google-*,-google-default-arguments,-clang-diagnostic-#pragma-messages,readability-identifier-naming'
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CheckOptions:
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- { key: readability-identifier-naming.ClassCase, value: CamelCase }
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- { key: readability-identifier-naming.StructCase, value: CamelCase }
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@ -123,8 +123,6 @@ file(GLOB_RECURSE SOURCES
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# Only add main function for executable target
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list(REMOVE_ITEM SOURCES ${PROJECT_SOURCE_DIR}/src/cli_main.cc)
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file(GLOB_RECURSE TEST_SOURCES "tests/cpp/*.cc")
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file(GLOB_RECURSE CUDA_SOURCES
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src/*.cu
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src/*.cuh
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@ -140,7 +138,7 @@ if(PLUGIN_DENSE_PARSER)
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endif()
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# rabit
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# TODO: Create rabit cmakelists.txt
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# TODO: Use CMakeLists.txt from rabit.
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set(RABIT_SOURCES
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rabit/src/allreduce_base.cc
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rabit/src/allreduce_robust.cc
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@ -151,6 +149,7 @@ set(RABIT_EMPTY_SOURCES
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rabit/src/engine_empty.cc
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rabit/src/c_api.cc
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)
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if(MINGW OR R_LIB)
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# build a dummy rabit library
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add_library(rabit STATIC ${RABIT_EMPTY_SOURCES})
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@ -158,7 +157,11 @@ else()
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add_library(rabit STATIC ${RABIT_SOURCES})
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endif()
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if(USE_CUDA)
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if (GENERATE_COMPILATION_DATABASE)
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set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
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endif (GENERATE_COMPILATION_DATABASE)
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if(USE_CUDA AND (NOT GENERATE_COMPILATION_DATABASE))
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find_package(CUDA 8.0 REQUIRED)
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cmake_minimum_required(VERSION 3.5)
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@ -168,7 +171,7 @@ if(USE_CUDA)
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if(USE_NCCL)
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find_package(Nccl REQUIRED)
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include_directories(${NCCL_INCLUDE_DIR})
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cuda_include_directories(${NCCL_INCLUDE_DIR})
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add_definitions(-DXGBOOST_USE_NCCL)
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endif()
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@ -188,6 +191,39 @@ if(USE_CUDA)
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target_link_libraries(gpuxgboost ${NCCL_LIB_NAME})
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endif()
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list(APPEND LINK_LIBRARIES gpuxgboost)
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elseif (USE_CUDA AND GENERATE_COMPILATION_DATABASE)
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# Enable CUDA language to generate a compilation database.
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cmake_minimum_required(VERSION 3.8)
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find_package(CUDA 8.0 REQUIRED)
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enable_language(CUDA)
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set(CMAKE_CUDA_COMPILER clang++)
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set(CUDA_SEPARABLE_COMPILATION ON)
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if (NOT CLANG_CUDA_GENCODE)
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set(CLANG_CUDA_GENCODE "--cuda-gpu-arch=sm_35")
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endif (NOT CLANG_CUDA_GENCODE)
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set(CMAKE_CUDA_FLAGS " -Wno-deprecated ${CLANG_CUDA_GENCODE} -fPIC ${GENCODE} -std=c++11 -x cuda")
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message(STATUS "CMAKE_CUDA_FLAGS: ${CMAKE_CUDA_FLAGS}")
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add_library(gpuxgboost STATIC ${CUDA_SOURCES})
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if(USE_NCCL)
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find_package(Nccl REQUIRED)
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target_include_directories(gpuxgboost PUBLIC ${NCCL_INCLUDE_DIR})
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target_compile_definitions(gpuxgboost PUBLIC -DXGBOOST_USE_NCCL)
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target_link_libraries(gpuxgboost PUBLIC ${NCCL_LIB_NAME})
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endif()
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target_compile_definitions(gpuxgboost PUBLIC -DXGBOOST_USE_CUDA)
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# A hack for CMake to make arguments valid for clang++
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string(REPLACE "-x cu" "-x cuda" CMAKE_CUDA_COMPILE_PTX_COMPILATION
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${CMAKE_CUDA_COMPILE_PTX_COMPILATION})
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string(REPLACE "-x cu" "-x cuda" CMAKE_CUDA_COMPILE_WHOLE_COMPILATION
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${CMAKE_CUDA_COMPILE_WHOLE_COMPILATION})
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string(REPLACE "-x cu" "-x cuda" CMAKE_CUDA_COMPILE_SEPARABLE_COMPILATION
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${CMAKE_CUDA_COMPILE_SEPARABLE_COMPILATION})
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target_include_directories(gpuxgboost PUBLIC cub)
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endif()
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@ -203,7 +239,6 @@ endif()
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add_library(objxgboost OBJECT ${SOURCES})
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# building shared library for R package
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if(R_LIB)
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find_package(LibR REQUIRED)
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@ -211,13 +246,13 @@ if(R_LIB)
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list(APPEND LINK_LIBRARIES "${LIBR_CORE_LIBRARY}")
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MESSAGE(STATUS "LIBR_CORE_LIBRARY " ${LIBR_CORE_LIBRARY})
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include_directories(
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# Shared library target for the R package
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add_library(xgboost SHARED $<TARGET_OBJECTS:objxgboost>)
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include_directories(xgboost
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"${LIBR_INCLUDE_DIRS}"
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"${PROJECT_SOURCE_DIR}"
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)
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# Shared library target for the R package
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add_library(xgboost SHARED $<TARGET_OBJECTS:objxgboost>)
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target_link_libraries(xgboost ${LINK_LIBRARIES})
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# R uses no lib prefix in shared library names of its packages
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set_target_properties(xgboost PROPERTIES PREFIX "")
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@ -229,7 +264,7 @@ if(R_LIB)
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# use a dummy location for any other remaining installs
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set(CMAKE_INSTALL_PREFIX "${CMAKE_CURRENT_BINARY_DIR}/dummy_inst")
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# main targets: shared library & exe
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# main targets: shared library & exe
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else()
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# Executable
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add_executable(runxgboost $<TARGET_OBJECTS:objxgboost> src/cli_main.cc)
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@ -252,20 +287,20 @@ else()
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add_dependencies(xgboost runxgboost)
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endif()
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# JVM
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if(JVM_BINDINGS)
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find_package(JNI QUIET REQUIRED)
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include_directories(${JNI_INCLUDE_DIRS} jvm-packages/xgboost4j/src/native)
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add_library(xgboost4j SHARED
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$<TARGET_OBJECTS:objxgboost>
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jvm-packages/xgboost4j/src/native/xgboost4j.cpp)
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set_output_directory(xgboost4j ${PROJECT_SOURCE_DIR}/lib)
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$<TARGET_OBJECTS:objxgboost>
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jvm-packages/xgboost4j/src/native/xgboost4j.cpp)
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target_include_directories(xgboost4j
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PRIVATE ${JNI_INCLUDE_DIRS}
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PRIVATE jvm-packages/xgboost4j/src/native)
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target_link_libraries(xgboost4j
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${LINK_LIBRARIES}
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${JAVA_JVM_LIBRARY})
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${LINK_LIBRARIES}
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${JAVA_JVM_LIBRARY})
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set_output_directory(xgboost4j ${PROJECT_SOURCE_DIR}/lib)
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endif()
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@ -274,18 +309,31 @@ if(GOOGLE_TEST)
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enable_testing()
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find_package(GTest REQUIRED)
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file(GLOB_RECURSE TEST_SOURCES "tests/cpp/*.cc")
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auto_source_group("${TEST_SOURCES}")
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include_directories(${GTEST_INCLUDE_DIRS})
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if(USE_CUDA)
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if(USE_CUDA AND (NOT GENERATE_COMPILATION_DATABASE))
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file(GLOB_RECURSE CUDA_TEST_SOURCES "tests/cpp/*.cu")
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cuda_include_directories(${GTEST_INCLUDE_DIRS})
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cuda_compile(CUDA_TEST_OBJS ${CUDA_TEST_SOURCES})
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elseif (USE_CUDA AND GENERATE_COMPILATION_DATABASE)
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file(GLOB_RECURSE CUDA_TEST_SOURCES "tests/cpp/*.cu")
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else()
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set(CUDA_TEST_OBJS "")
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endif()
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add_executable(testxgboost ${TEST_SOURCES} ${CUDA_TEST_OBJS} $<TARGET_OBJECTS:objxgboost>)
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if (USE_CUDA AND GENERATE_COMPILATION_DATABASE)
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add_executable(testxgboost ${TEST_SOURCES} ${CUDA_TEST_SOURCES}
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$<TARGET_OBJECTS:objxgboost>)
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target_include_directories(testxgboost PRIVATE cub)
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else ()
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add_executable(testxgboost ${TEST_SOURCES} ${CUDA_TEST_OBJS}
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$<TARGET_OBJECTS:objxgboost>)
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endif ()
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set_output_directory(testxgboost ${PROJECT_SOURCE_DIR})
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target_include_directories(testxgboost
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PRIVATE ${GTEST_INCLUDE_DIRS})
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target_link_libraries(testxgboost ${GTEST_LIBRARIES} ${LINK_LIBRARIES})
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add_test(TestXGBoost testxgboost)
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21
Jenkinsfile
vendored
21
Jenkinsfile
vendored
@ -53,7 +53,7 @@ pipeline {
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parallel (buildMatrix.findAll{it['enabled']}.collectEntries{ c ->
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def buildName = utils.getBuildName(c)
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utils.buildFactory(buildName, c, false, this.&buildPlatformCmake)
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})
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} + [ "clang-tidy" : { buildClangTidyJob() } ])
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}
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}
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}
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@ -106,3 +106,22 @@ def buildPlatformCmake(buildName, conf, nodeReq, dockerTarget) {
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}
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}
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}
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/**
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* Run a clang-tidy job on a GPU machine
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*/
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def buildClangTidyJob() {
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def nodeReq = "linux && gpu && unrestricted"
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node(nodeReq) {
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unstash name: 'srcs'
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echo "Running clang-tidy job..."
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// Invoke command inside docker
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// Install Google Test and Python yaml
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dockerTarget = "clang_tidy"
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dockerArgs = "--build-arg CUDA_VERSION=9.2"
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sh """
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${dockerRun} ${dockerTarget} ${dockerArgs} tests/ci_build/clang_tidy.sh
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"""
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}
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}
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@ -19,6 +19,7 @@ Everyone is more than welcome to contribute. It is a way to make the project bet
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* `Documents`_
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* `Testcases`_
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* `Sanitizers`_
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* `clang-tidy`_
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* `Examples`_
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* `Core Library`_
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* `Python Package`_
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@ -169,6 +170,31 @@ environment variable:
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For details, please consult `official documentation <https://github.com/google/sanitizers/wiki>`_ for sanitizers.
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**********
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clang-tidy
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**********
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To run clang-tidy on both C++ and CUDA source code, run the following command
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from the top level source tree:
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.. code-black:: bash
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cd /path/to/xgboost/
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python3 tests/ci_build/tidy.py --gtest-path=/path/to/google-test
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The script requires the full path of Google Test library via the ``--gtest-path`` argument.
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Also, the script accepts two optional integer arguments, namely ``--cpp`` and ``--cuda``.
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By default they are both set to 1. If you want to exclude CUDA source from
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linting, use:
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.. code-black:: bash
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cd /path/to/xgboost/
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python3 tests/ci_build/tidy.py --cuda=0
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Similarly, if you want to exclude C++ source from linting:
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.. code-black:: bash
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cd /path/to/xgboost/
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python3 tests/ci_build/tidy.py --cpp=0
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********
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Examples
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45
tests/ci_build/Dockerfile.clang_tidy
Normal file
45
tests/ci_build/Dockerfile.clang_tidy
Normal file
@ -0,0 +1,45 @@
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ARG CUDA_VERSION
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FROM nvidia/cuda:$CUDA_VERSION-devel-ubuntu18.04
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# Environment
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ENV DEBIAN_FRONTEND noninteractive
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# Install all basic requirements
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RUN \
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apt-get update && \
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apt-get install -y tar unzip wget git build-essential cmake python3 python3-pip llvm-7 clang-tidy-7 clang-7
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# Set default clang-tidy version
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RUN \
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update-alternatives --install /usr/bin/clang-tidy clang-tidy /usr/bin/clang-tidy-7 100 && \
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update-alternatives --install /usr/bin/clang clang /usr/bin/clang-7 100
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# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
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RUN \
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export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]+\.[0-9]'` && \
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if [ "${CUDA_SHORT}" != "10.0" ]; then \
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wget https://developer.download.nvidia.com/compute/redist/nccl/v2.2/nccl_2.2.13-1%2Bcuda${CUDA_SHORT}_x86_64.txz && \
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tar xf "nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz" && \
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cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/include/nccl.h /usr/include && \
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cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/lib/* /usr/lib && \
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rm -f nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz && \
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rm -r nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64; fi
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# Install Python packages
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RUN \
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pip3 install pyyaml
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ENV GOSU_VERSION 1.10
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# Install lightweight sudo (not bound to TTY)
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RUN set -ex; \
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wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
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chmod +x /usr/local/bin/gosu && \
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gosu nobody true
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# Default entry-point to use if running locally
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# It will preserve attributes of created files
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COPY entrypoint.sh /scripts/
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WORKDIR /workspace
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ENTRYPOINT ["/scripts/entrypoint.sh"]
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12
tests/ci_build/clang_tidy.sh
Executable file
12
tests/ci_build/clang_tidy.sh
Executable file
@ -0,0 +1,12 @@
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#!/bin/bash
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rm -rf gtest googletest-release-1.7.0
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wget -nc https://github.com/google/googletest/archive/release-1.7.0.zip
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unzip -n release-1.7.0.zip
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mv googletest-release-1.7.0 gtest && cd gtest
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cmake . && make
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mkdir lib && mv libgtest.a lib
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cd ..
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rm -rf release-1.7.0.zip*
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python3 tests/ci_build/tidy.py --gtest-path=${PWD}/gtest
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155
tests/ci_build/tidy.py
Executable file
155
tests/ci_build/tidy.py
Executable file
@ -0,0 +1,155 @@
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#!/usr/bin/env python
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import subprocess
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import yaml
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import json
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from multiprocessing import Pool, cpu_count
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import shutil
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import os
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import re
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import argparse
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def call(args):
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'''Subprocess run wrapper.'''
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completed = subprocess.run(args, stdout=subprocess.PIPE,
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stderr=subprocess.DEVNULL)
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error_msg = completed.stdout.decode('utf-8')
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matched = re.match('.*xgboost.*warning.*', error_msg,
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re.MULTILINE | re.DOTALL)
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if matched is None:
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return_code = 0
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else:
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print(error_msg, '\n')
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return_code = 1
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return completed.returncode | return_code
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class ClangTidy(object):
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'''
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clang tidy wrapper.
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Args:
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gtest_path: Full path of Google Test library.
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cpp_lint: Run linter on C++ source code.
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cuda_lint: Run linter on CUDA source code.
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'''
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def __init__(self, gtest_path, cpp_lint, cuda_lint):
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self.gtest_path = gtest_path
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self.cpp_lint = cpp_lint
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self.cuda_lint = cuda_lint
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print('Using Google Test from {}'.format(self.gtest_path))
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print('Run linter on CUDA: ', self.cuda_lint)
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print('Run linter on C++:', self.cpp_lint)
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if not self.cpp_lint and not self.cuda_lint:
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raise ValueError('Both --cpp and --cuda are set to 0.')
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self.root_path = os.path.abspath(os.path.curdir)
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print('Project root:', self.root_path)
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self.cdb_path = os.path.join(self.root_path, 'cdb')
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def __enter__(self):
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if os.path.exists(self.cdb_path):
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shutil.rmtree(self.cdb_path)
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self._generate_cdb()
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return self
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def __exit__(self, *args):
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if os.path.exists(self.cdb_path):
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shutil.rmtree(self.cdb_path)
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def _generate_cdb(self):
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'''Run CMake to generate compilation database.'''
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os.mkdir(self.cdb_path)
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os.chdir(self.cdb_path)
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cmake_args = ['cmake', '..', '-DGENERATE_COMPILATION_DATABASE=ON',
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'-DGOOGLE_TEST=ON', '-DGTEST_ROOT={}'.format(
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self.gtest_path)]
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if self.cuda_lint:
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cmake_args.extend(['-DUSE_CUDA=ON', '-DUSE_NCCL=ON'])
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subprocess.run(cmake_args)
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os.chdir(self.root_path)
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def _configure_flags(self, path, command):
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common_args = ['clang-tidy',
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# "-header-filter='(xgboost\\/src|xgboost\\/include)'",
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'-config='+str(self.clang_tidy)]
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common_args.append(path)
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common_args.append('--')
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command = command.split()[1:] # remove clang/c++/g++
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||||
# filter out not used flags
|
||||
if '-fuse-ld=gold' in command:
|
||||
command.remove('-fuse-ld=gold')
|
||||
if '-rdynamic' in command:
|
||||
command.remove('-rdynamic')
|
||||
if '-Xcompiler=-fPIC' in command:
|
||||
command.remove('-Xcompiler=-fPIC')
|
||||
if '-Xcompiler=-fPIE' in command:
|
||||
command.remove('-Xcompiler=-fPIE')
|
||||
if '-c' in command:
|
||||
index = command.index('-c')
|
||||
del command[index+1]
|
||||
command.remove('-c')
|
||||
if '-o' in command:
|
||||
index = command.index('-o')
|
||||
del command[index+1]
|
||||
command.remove('-o')
|
||||
|
||||
common_args.extend(command)
|
||||
|
||||
# Two passes, one for device code another for host code.
|
||||
if path.endswith('cu'):
|
||||
args = [common_args.copy(), common_args.copy()]
|
||||
args[0].append('--cuda-host-only')
|
||||
args[1].append('--cuda-device-only')
|
||||
else:
|
||||
args = [common_args.copy()]
|
||||
for a in args:
|
||||
a.append('-Wno-unused-command-line-argument')
|
||||
return args
|
||||
|
||||
def _configure(self):
|
||||
'''Load and configure compile_commands and clang_tidy.'''
|
||||
|
||||
def should_lint(path):
|
||||
if not self.cpp_lint and path.endswith('.cc'):
|
||||
return False
|
||||
return True
|
||||
|
||||
cdb_file = os.path.join(self.cdb_path, 'compile_commands.json')
|
||||
with open(cdb_file, 'r') as fd:
|
||||
self.compile_commands = json.load(fd)
|
||||
tidy_file = os.path.join(self.root_path, '.clang-tidy')
|
||||
with open(tidy_file) as fd:
|
||||
self.clang_tidy = yaml.load(fd)
|
||||
all_files = []
|
||||
for entry in self.compile_commands:
|
||||
path = entry['file']
|
||||
if should_lint(path):
|
||||
print(path)
|
||||
args = self._configure_flags(path, entry['command'])
|
||||
all_files.extend(args)
|
||||
return all_files
|
||||
|
||||
def run(self):
|
||||
'''Run clang-tidy.'''
|
||||
all_files = self._configure()
|
||||
with Pool(cpu_count()) as pool:
|
||||
results = pool.map(call, all_files)
|
||||
passed = True
|
||||
if 1 in results:
|
||||
print('Please correct clang-tidy warnings.')
|
||||
passed = False
|
||||
return passed
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='Run clang-tidy.')
|
||||
parser.add_argument('--cpp', type=int, default=1)
|
||||
parser.add_argument('--cuda', type=int, default=1)
|
||||
parser.add_argument('--gtest-path', required=True,
|
||||
help='Full path of Google Test library directory')
|
||||
args = parser.parse_args()
|
||||
with ClangTidy(args.gtest_path, args.cpp, args.cuda) as linter:
|
||||
passed = linter.run()
|
||||
# Uncomment it once the code base is clang-tidy conformant.
|
||||
# if not passed:
|
||||
# sys.exit(1)
|
||||
Loading…
x
Reference in New Issue
Block a user