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#include <torch/csrc/Exceptions.h>
#include <torch/csrc/python_headers.h>
#include <torch/csrc/utils/object_ptr.h>
#include <torch/csrc/utils/pybind.h>
#include <stdexcept>
#if defined(__linux__)
#include <sys/prctl.h>
#endif
#define SYSASSERT(rv, ...) \
if ((rv) < 0) { \
throw std::system_error(errno, std::system_category(), ##__VA_ARGS__); \
}
namespace torch {
namespace multiprocessing {
namespace {
PyObject* multiprocessing_init(PyObject* _unused, PyObject* noargs) {
auto multiprocessing_module =
THPObjectPtr(PyImport_ImportModule("torch.multiprocessing"));
if (!multiprocessing_module) {
throw python_error();
}
auto module = py::handle(multiprocessing_module).cast<py::module>();
module.def("_prctl_pr_set_pdeathsig", [](int signal) {
#if defined(__linux__)
auto rv = prctl(PR_SET_PDEATHSIG, signal);
SYSASSERT(rv, "prctl");
#endif
});
Py_RETURN_TRUE;
}
} // namespace
// multiprocessing methods on torch._C
// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays,cppcoreguidelines-avoid-non-const-global-variables)
static PyMethodDef methods[] = {
{
"_multiprocessing_init",
multiprocessing_init,
METH_NOARGS,
nullptr,
},
{nullptr, nullptr, 0, nullptr},
};
PyMethodDef* python_functions() {
return methods;
}
} // namespace multiprocessing
} // namespace torch
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