Files
pytorch/c10/core/impl/PyObjectSlot.cpp
PaliC 255c0545e7 [BE] Modify PyObjectSlot the assume only a single interpreter is in use (#158407)
This PR makes some less risky changes to PyObjectSlot as there is a lot of stuff we do not need since there is only one interpreter. Specifically `check_interpreter` and `has_pyobj_nonhermetic` are removed

Pull Request resolved: https://github.com/pytorch/pytorch/pull/158407
Approved by: https://github.com/albanD
ghstack dependencies: #158288, #158290, #158291
2025-07-23 20:27:28 +00:00

62 lines
2.0 KiB
C++

#include <c10/core/impl/PyObjectSlot.h>
namespace c10::impl {
PyObjectSlot::PyObjectSlot() : pyobj_interpreter_(nullptr), pyobj_(nullptr) {}
PyObjectSlot::~PyObjectSlot() {
maybe_destroy_pyobj();
}
void PyObjectSlot::maybe_destroy_pyobj() {
if (owns_pyobj()) {
TORCH_INTERNAL_ASSERT(pyobj_interpreter_ != nullptr);
TORCH_INTERNAL_ASSERT(pyobj_ != nullptr);
(*pyobj_interpreter_.load(std::memory_order_acquire))
->decref(_unchecked_untagged_pyobj(), /*has_pyobj_slot*/ true);
// NB: this destructor can only be entered when there are no
// references to this C++ object (obviously), NOR any references
// to the PyObject (if there are references to the PyObject,
// then the PyObject holds an owning reference to the tensor).
// So it is OK to clear pyobj_ here as it is impossible for it to
// be used again (modulo weak reference races)
pyobj_ = nullptr; // for safety
}
}
PyInterpreter* PyObjectSlot::pyobj_interpreter() {
return pyobj_interpreter_.load(std::memory_order_acquire);
}
PyObject* PyObjectSlot::_unchecked_untagged_pyobj() const {
// NOLINTNEXTLINE(performance-no-int-to-ptr)
return reinterpret_cast<PyObject*>(
reinterpret_cast<uintptr_t>(pyobj_) & ~0x1ULL);
}
void PyObjectSlot::unchecked_clear_pyobj(PyInterpreter* interpreter) {
TORCH_INTERNAL_ASSERT_DEBUG_ONLY(interpreter == pyobj_interpreter_.load());
pyobj_ = nullptr;
}
PyInterpreter& PyObjectSlot::load_pyobj_interpreter() const {
auto interpreter = pyobj_interpreter_.load(std::memory_order_acquire);
if (interpreter) {
return *interpreter;
}
TORCH_CHECK(false, "cannot access PyObject for Tensor - no interpreter set");
}
bool PyObjectSlot::owns_pyobj() {
// NOLINTNEXTLINE(performance-no-int-to-ptr)
return reinterpret_cast<uintptr_t>(pyobj_) & 1;
}
void PyObjectSlot::set_owns_pyobj(bool b) {
// NOLINTNEXTLINE(performance-no-int-to-ptr)
pyobj_ = reinterpret_cast<PyObject*>(
reinterpret_cast<uintptr_t>(_unchecked_untagged_pyobj()) | b);
}
} // namespace c10::impl