Use CUDA 11 in clang-tidy (#7701)
* Show command args when clang-tidy fails * Add option to specify CUDA args * Use clang-tidy 11 * [CI] Use CUDA 11
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@ -123,9 +123,9 @@ def ClangTidy() {
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echo "Running clang-tidy job..."
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def container_type = "clang_tidy"
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def docker_binary = "docker"
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def dockerArgs = "--build-arg CUDA_VERSION_ARG=10.1"
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def dockerArgs = "--build-arg CUDA_VERSION_ARG=11.0"
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sh """
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${dockerRun} ${container_type} ${docker_binary} ${dockerArgs} python3 tests/ci_build/tidy.py
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${dockerRun} ${container_type} ${docker_binary} ${dockerArgs} python3 tests/ci_build/tidy.py --cuda-archs 75
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"""
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deleteDir()
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}
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@ -11,16 +11,16 @@ RUN \
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apt-get install -y tar unzip wget git build-essential python3 python3-pip software-properties-common \
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apt-transport-https ca-certificates gnupg-agent && \
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wget -O - https://apt.llvm.org/llvm-snapshot.gpg.key | apt-key add - && \
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add-apt-repository -u 'deb http://apt.llvm.org/bionic/ llvm-toolchain-bionic-10 main' && \
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add-apt-repository -u 'deb http://apt.llvm.org/bionic/ llvm-toolchain-bionic-11 main' && \
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apt-get update && \
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apt-get install -y llvm-10 clang-tidy-10 clang-10 && \
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apt-get install -y llvm-11 clang-tidy-11 clang-11 && \
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wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
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bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr
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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-10 100 && \
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update-alternatives --install /usr/bin/clang clang /usr/bin/clang-10 100
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update-alternatives --install /usr/bin/clang-tidy clang-tidy /usr/bin/clang-tidy-11 100 && \
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update-alternatives --install /usr/bin/clang clang /usr/bin/clang-11 100
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# Install Python packages
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RUN \
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@ -26,7 +26,7 @@ def call(args):
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return_code = 0
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else:
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return_code = 1
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return (completed.returncode, return_code, error_msg)
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return (completed.returncode, return_code, error_msg, args)
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class ClangTidy(object):
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@ -41,6 +41,7 @@ class ClangTidy(object):
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self.cpp_lint = args.cpp
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self.cuda_lint = args.cuda
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self.use_dmlc_gtest = args.use_dmlc_gtest
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self.cuda_archs = args.cuda_archs.copy() if args.cuda_archs else []
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if args.tidy_version:
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self.exe = 'clang-tidy-' + str(args.tidy_version)
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@ -50,6 +51,7 @@ class ClangTidy(object):
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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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print('Use dmlc gtest:', self.use_dmlc_gtest)
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print('CUDA archs:', ' '.join(self.cuda_archs))
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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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@ -83,6 +85,9 @@ class ClangTidy(object):
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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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if self.cuda_archs:
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arch_list = ';'.join(self.cuda_archs)
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cmake_args.append(f'-DGPU_COMPUTE_VER={arch_list}')
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subprocess.run(cmake_args)
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os.chdir(self.root_path)
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@ -211,12 +216,13 @@ class ClangTidy(object):
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BAR = '-'*32
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with Pool(cpu_count()) as pool:
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results = pool.map(call, all_files)
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for i, (process_status, tidy_status, msg) in enumerate(results):
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for i, (process_status, tidy_status, msg, args) in enumerate(results):
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# Don't enforce clang-tidy to pass for now due to namespace
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# for cub in thrust is not correct.
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if tidy_status == 1:
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passed = False
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print(BAR, '\n'
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'Command args:', ' '.join(args), ', ',
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'Process return code:', process_status, ', ',
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'Tidy result code:', tidy_status, ', ',
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'Message:\n', msg,
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@ -259,7 +265,7 @@ right keywords?
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else:
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tidy = 'clang-tidy-' + str(args.tidy_version)
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args = [tidy, tidy_config, test_file_path]
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(proc_code, tidy_status, error_msg) = call(args)
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(proc_code, tidy_status, error_msg, _) = call(args)
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assert proc_code == 0
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assert tidy_status == 1
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print('clang-tidy is working.')
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@ -273,6 +279,8 @@ if __name__ == '__main__':
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parser.add_argument('--cuda', type=int, default=1)
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parser.add_argument('--use-dmlc-gtest', type=int, default=1,
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help='Whether to use gtest bundled in dmlc-core.')
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parser.add_argument('--cuda-archs', action='append',
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help='List of CUDA archs to build')
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args = parser.parse_args()
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test_tidy(args)
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