"Manages CMake." from __future__ import annotations import multiprocessing import os import platform import sys import sysconfig from distutils.version import LooseVersion from subprocess import CalledProcessError, check_call, check_output from typing import Any, cast from . import which from .cmake_utils import CMakeValue, get_cmake_cache_variables_from_file from .env import BUILD_DIR, check_negative_env_flag, IS_64BIT, IS_DARWIN, IS_WINDOWS def _mkdir_p(d: str) -> None: try: os.makedirs(d, exist_ok=True) except OSError as e: raise RuntimeError( f"Failed to create folder {os.path.abspath(d)}: {e.strerror}" ) from e # Ninja # Use ninja if it is on the PATH. Previous version of PyTorch required the # ninja python package, but we no longer use it, so we do not have to import it USE_NINJA = not check_negative_env_flag("USE_NINJA") and which("ninja") is not None if "CMAKE_GENERATOR" in os.environ: USE_NINJA = os.environ["CMAKE_GENERATOR"].lower() == "ninja" class CMake: "Manages cmake." def __init__(self, build_dir: str = BUILD_DIR) -> None: self._cmake_command = CMake._get_cmake_command() self.build_dir = build_dir @property def _cmake_cache_file(self) -> str: r"""Returns the path to CMakeCache.txt. Returns: string: The path to CMakeCache.txt. """ return os.path.join(self.build_dir, "CMakeCache.txt") @staticmethod def _get_cmake_command() -> str: "Returns cmake command." cmake_command = "cmake" if IS_WINDOWS: return cmake_command cmake3_version = CMake._get_version(which("cmake3")) cmake_version = CMake._get_version(which("cmake")) _cmake_min_version = LooseVersion("3.18.0") if all( ver is None or ver < _cmake_min_version for ver in [cmake_version, cmake3_version] ): raise RuntimeError("no cmake or cmake3 with version >= 3.18.0 found") if cmake3_version is None: cmake_command = "cmake" elif cmake_version is None: cmake_command = "cmake3" else: if cmake3_version >= cmake_version: cmake_command = "cmake3" else: cmake_command = "cmake" return cmake_command @staticmethod def _get_version(cmd: str | None) -> Any: "Returns cmake version." if cmd is None: return None for line in check_output([cmd, "--version"]).decode("utf-8").split("\n"): if "version" in line: return LooseVersion(line.strip().split(" ")[2]) raise RuntimeError("no version found") def run(self, args: list[str], env: dict[str, str]) -> None: "Executes cmake with arguments and an environment." command = [self._cmake_command] + args print(" ".join(command)) try: check_call(command, cwd=self.build_dir, env=env) except (CalledProcessError, KeyboardInterrupt) as e: # This error indicates that there was a problem with cmake, the # Python backtrace adds no signal here so skip over it by catching # the error and exiting manually sys.exit(1) @staticmethod def defines(args: list[str], **kwargs: CMakeValue) -> None: "Adds definitions to a cmake argument list." for key, value in sorted(kwargs.items()): if value is not None: args.append(f"-D{key}={value}") def get_cmake_cache_variables(self) -> dict[str, CMakeValue]: r"""Gets values in CMakeCache.txt into a dictionary. Returns: dict: A ``dict`` containing the value of cached CMake variables. """ with open(self._cmake_cache_file) as f: return get_cmake_cache_variables_from_file(f) def generate( self, version: str | None, cmake_python_library: str | None, build_python: bool, build_test: bool, my_env: dict[str, str], rerun: bool, ) -> None: "Runs cmake to generate native build files." if rerun and os.path.isfile(self._cmake_cache_file): os.remove(self._cmake_cache_file) ninja_build_file = os.path.join(self.build_dir, "build.ninja") if os.path.exists(self._cmake_cache_file) and not ( USE_NINJA and not os.path.exists(ninja_build_file) ): # Everything's in place. Do not rerun. return args = [] if USE_NINJA: # Avoid conflicts in '-G' and the `CMAKE_GENERATOR` os.environ["CMAKE_GENERATOR"] = "Ninja" args.append("-GNinja") elif IS_WINDOWS: generator = os.getenv("CMAKE_GENERATOR", "Visual Studio 16 2019") supported = ["Visual Studio 16 2019", "Visual Studio 17 2022"] if generator not in supported: print("Unsupported `CMAKE_GENERATOR`: " + generator) print("Please set it to one of the following values: ") print("\n".join(supported)) sys.exit(1) args.append("-G" + generator) toolset_dict = {} toolset_version = os.getenv("CMAKE_GENERATOR_TOOLSET_VERSION") if toolset_version is not None: toolset_dict["version"] = toolset_version curr_toolset = os.getenv("VCToolsVersion") if curr_toolset is None: print( "When you specify `CMAKE_GENERATOR_TOOLSET_VERSION`, you must also " "activate the vs environment of this version. Please read the notes " "in the build steps carefully." ) sys.exit(1) if IS_64BIT: if platform.machine() == "ARM64": args.append("-A ARM64") else: args.append("-Ax64") toolset_dict["host"] = "x64" if toolset_dict: toolset_expr = ",".join([f"{k}={v}" for k, v in toolset_dict.items()]) args.append("-T" + toolset_expr) base_dir = os.path.dirname( os.path.dirname(os.path.dirname(os.path.abspath(__file__))) ) install_dir = os.path.join(base_dir, "torch") _mkdir_p(install_dir) _mkdir_p(self.build_dir) # Store build options that are directly stored in environment variables build_options: dict[str, CMakeValue] = {} # Build options that do not start with "BUILD_", "USE_", or "CMAKE_" and are directly controlled by env vars. # This is a dict that maps environment variables to the corresponding variable name in CMake. additional_options = { # Key: environment variable name. Value: Corresponding variable name to be passed to CMake. If you are # adding a new build option to this block: Consider making these two names identical and adding this option # in the block below. "_GLIBCXX_USE_CXX11_ABI": "GLIBCXX_USE_CXX11_ABI", "CUDNN_LIB_DIR": "CUDNN_LIBRARY", "USE_CUDA_STATIC_LINK": "CAFFE2_STATIC_LINK_CUDA", } additional_options.update( { # Build options that have the same environment variable name and CMake variable name and that do not start # with "BUILD_", "USE_", or "CMAKE_". If you are adding a new build option, also make sure you add it to # CMakeLists.txt. var: var for var in ( "UBSAN_FLAGS", "BLAS", "WITH_BLAS", "CUDA_HOST_COMPILER", "CUDA_NVCC_EXECUTABLE", "CUDA_SEPARABLE_COMPILATION", "CUDNN_LIBRARY", "CUDNN_INCLUDE_DIR", "CUDNN_ROOT", "EXPERIMENTAL_SINGLE_THREAD_POOL", "INSTALL_TEST", "JAVA_HOME", "INTEL_MKL_DIR", "INTEL_OMP_DIR", "MKL_THREADING", "MKLDNN_CPU_RUNTIME", "MSVC_Z7_OVERRIDE", "CAFFE2_USE_MSVC_STATIC_RUNTIME", "Numa_INCLUDE_DIR", "Numa_LIBRARIES", "ONNX_ML", "ONNX_NAMESPACE", "ATEN_THREADING", "WERROR", "OPENSSL_ROOT_DIR", "STATIC_DISPATCH_BACKEND", "SELECTED_OP_LIST", "TORCH_CUDA_ARCH_LIST", "TRACING_BASED", "PYTHON_LIB_REL_PATH", ) } ) # Aliases which are lower priority than their canonical option low_priority_aliases = { "CUDA_HOST_COMPILER": "CMAKE_CUDA_HOST_COMPILER", "CUDAHOSTCXX": "CUDA_HOST_COMPILER", "CMAKE_CUDA_HOST_COMPILER": "CUDA_HOST_COMPILER", "CMAKE_CUDA_COMPILER": "CUDA_NVCC_EXECUTABLE", "CUDACXX": "CUDA_NVCC_EXECUTABLE", } for var, val in my_env.items(): # We currently pass over all environment variables that start with "BUILD_", "USE_", and "CMAKE_". This is # because we currently have no reliable way to get the list of all build options we have specified in # CMakeLists.txt. (`cmake -L` won't print dependent options when the dependency condition is not met.) We # will possibly change this in the future by parsing CMakeLists.txt ourselves (then additional_options would # also not be needed to be specified here). true_var = additional_options.get(var) if true_var is not None: build_options[true_var] = val elif var.startswith(("BUILD_", "USE_", "CMAKE_")) or var.endswith( ("EXITCODE", "EXITCODE__TRYRUN_OUTPUT") ): build_options[var] = val if var in low_priority_aliases: key = low_priority_aliases[var] if key not in build_options: build_options[key] = val # The default value cannot be easily obtained in CMakeLists.txt. We set it here. py_lib_path = sysconfig.get_path("purelib") cmake_prefix_path = build_options.get("CMAKE_PREFIX_PATH", None) if cmake_prefix_path: build_options["CMAKE_PREFIX_PATH"] = ( py_lib_path + ";" + cast(str, cmake_prefix_path) ) else: build_options["CMAKE_PREFIX_PATH"] = py_lib_path # Some options must be post-processed. Ideally, this list will be shrunk to only one or two options in the # future, as CMake can detect many of these libraries pretty comfortably. We have them here for now before CMake # integration is completed. They appear here not in the CMake.defines call below because they start with either # "BUILD_" or "USE_" and must be overwritten here. build_options.update( { # Note: Do not add new build options to this dict if it is directly read from environment variable -- you # only need to add one in `CMakeLists.txt`. All build options that start with "BUILD_", "USE_", or "CMAKE_" # are automatically passed to CMake; For other options you can add to additional_options above. "BUILD_PYTHON": build_python, "BUILD_TEST": build_test, # Most library detection should go to CMake script, except this one, which Python can do a much better job # due to NumPy's inherent Pythonic nature. "USE_NUMPY": not check_negative_env_flag("USE_NUMPY"), } ) # Options starting with CMAKE_ cmake__options = { "CMAKE_INSTALL_PREFIX": install_dir, } # We set some CMAKE_* options in our Python build code instead of relying on the user's direct settings. Emit an # error if the user also attempts to set these CMAKE options directly. specified_cmake__options = set(build_options).intersection(cmake__options) if len(specified_cmake__options) > 0: print( ", ".join(specified_cmake__options) + " should not be specified in the environment variable. They are directly set by PyTorch build script." ) sys.exit(1) build_options.update(cmake__options) CMake.defines( args, Python_EXECUTABLE=sys.executable, TORCH_BUILD_VERSION=version, **build_options, ) expected_wrapper = "/usr/local/opt/ccache/libexec" if IS_DARWIN and os.path.exists(expected_wrapper): if "CMAKE_C_COMPILER" not in build_options and "CC" not in os.environ: CMake.defines(args, CMAKE_C_COMPILER=f"{expected_wrapper}/gcc") if "CMAKE_CXX_COMPILER" not in build_options and "CXX" not in os.environ: CMake.defines(args, CMAKE_CXX_COMPILER=f"{expected_wrapper}/g++") for env_var_name in my_env: if env_var_name.startswith("gh"): # github env vars use utf-8, on windows, non-ascii code may # cause problem, so encode first try: my_env[env_var_name] = str(my_env[env_var_name].encode("utf-8")) except UnicodeDecodeError as e: shex = ":".join(f"{ord(c):02x}" for c in my_env[env_var_name]) print( f"Invalid ENV[{env_var_name}] = {shex}", file=sys.stderr, ) print(e, file=sys.stderr) # According to the CMake manual, we should pass the arguments first, # and put the directory as the last element. Otherwise, these flags # may not be passed correctly. # Reference: # 1. https://cmake.org/cmake/help/latest/manual/cmake.1.html#synopsis # 2. https://stackoverflow.com/a/27169347 args.append(base_dir) self.run(args, env=my_env) def build(self, my_env: dict[str, str]) -> None: "Runs cmake to build binaries." from .env import build_type build_args = [ "--build", ".", "--target", "install", "--config", build_type.build_type_string, ] # Determine the parallelism according to the following # priorities: # 1) MAX_JOBS environment variable # 2) If using the Ninja build system, delegate decision to it. # 3) Otherwise, fall back to the number of processors. # Allow the user to set parallelism explicitly. If unset, # we'll try to figure it out. max_jobs = os.getenv("MAX_JOBS") if max_jobs is not None or not USE_NINJA: # Ninja is capable of figuring out the parallelism on its # own: only specify it explicitly if we are not using # Ninja. # This lists the number of processors available on the # machine. This may be an overestimate of the usable # processors if CPU scheduling affinity limits it # further. In the future, we should check for that with # os.sched_getaffinity(0) on platforms that support it. max_jobs = max_jobs or str(multiprocessing.cpu_count()) # This ``if-else'' clause would be unnecessary when cmake # 3.12 becomes minimum, which provides a '-j' option: # build_args += ['-j', max_jobs] would be sufficient by # then. Until then, we use "--" to pass parameters to the # underlying build system. build_args += ["--"] if IS_WINDOWS and not USE_NINJA: # We are likely using msbuild here build_args += [f"/p:CL_MPCount={max_jobs}"] else: build_args += ["-j", max_jobs] self.run(build_args, my_env)