pytorch/c10/core/impl/PyObjectSlot.cpp
PyTorch MergeBot 99cc3633f6 Revert "[BE] Modify PyObjectSlot the assume only a single interpreter is in use (#158407)"
This reverts commit d9426a81d2.

Reverted https://github.com/pytorch/pytorch/pull/158407 on behalf of https://github.com/ZainRizvi due to Sorry but this is breaking internally, see D78496147 for details. To validate your fixes internally, you can follow the instructions here: https://fburl.com/fixing-ghfirst-reverts ([comment](https://github.com/pytorch/pytorch/pull/158288#issuecomment-3099826158))
2025-07-21 23:17:38 +00:00

74 lines
2.3 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 on interpreter ",
(*pyobj_interpreter_.load())->name());
}
bool PyObjectSlot::check_interpreter(PyInterpreter* interpreter) {
return interpreter == pyobj_interpreter();
}
bool PyObjectSlot::has_pyobj_nonhermetic() {
return check_pyobj(pyobj_interpreter(), /*ignore_hermetic_tls=*/true)
.has_value();
}
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