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#include <ATen/SavedTensorHooks.h>
#include <torch/csrc/autograd/python_saved_variable_hooks.h>
#include <c10/core/SafePyObject.h>
#include <torch/csrc/PyInterpreter.h>
#include <torch/csrc/THP.h>
namespace py = pybind11;
namespace torch::autograd {
PySavedVariableHooks::PySavedVariableHooks(
py::function& pack_hook,
py::function& unpack_hook)
: // steals the reference (we will decref ourselves)
pack_hook_(pack_hook.release().ptr()),
unpack_hook_(unpack_hook.release().ptr()) {}
// We don't use pybind for call_pack_hook and call_unpack_hook to avoid
// https://github.com/pytorch/pytorch/issues/34172
void PySavedVariableHooks::call_pack_hook(const at::Tensor& tensor) {
py::gil_scoped_acquire acquire;
THPObjectPtr obj(THPVariable_Wrap(tensor));
THPObjectPtr packed(
PyObject_CallFunctionObjArgs(pack_hook_, obj.get(), nullptr));
if (!packed) {
throw python_error();
}
data_ = packed.release();
// obj is decrefed on exit, packed has their references stolen
// pack_hook_ and data_ will be manually decrefed when the saved variable is
// released
}
at::Tensor PySavedVariableHooks::call_unpack_hook() {
py::gil_scoped_acquire acquire;
THPObjectPtr res(PyObject_CallFunctionObjArgs(unpack_hook_, data_, nullptr));
if (!res) {
throw python_error();
}
TORCH_CHECK_TYPE(
THPVariable_Check(res),
"Output of saved tensor unpack_hook expected to be a Tensor but got result of type ",
THPUtils_typename(res));
return THPVariable_Unpack(res);
// res is decrefed on exit
// unpack_hook_ will be manually decrefed when the saved variable is released
}
// NOLINTNEXTLINE(bugprone-exception-escape)
PySavedVariableHooks::~PySavedVariableHooks() {
// If python is already dead, leak the wrapped python objects
if (Py_IsInitialized()) {
py::gil_scoped_acquire gil;
Py_XDECREF(pack_hook_);
Py_XDECREF(unpack_hook_);
Py_XDECREF(data_);
}
}
void PyDefaultSavedVariableHooks::push_hooks(
py::function& pack_hook,
py::function& unpack_hook) {
at::SavedTensorDefaultHooks::lazy_initialize();
at::SavedTensorDefaultHooks::push_hooks(
c10::SafePyObject(pack_hook.release().ptr(), getPyInterpreter()),
c10::SafePyObject(unpack_hook.release().ptr(), getPyInterpreter()));
}
void PyDefaultSavedVariableHooks::pop_hooks() {
auto [pack_hook, unpack_hook] = at::SavedTensorDefaultHooks::pop_hooks();
TORCH_INTERNAL_ASSERT(
pack_hook.ptr(getPyInterpreter()) != nullptr &&
unpack_hook.ptr(getPyInterpreter()) != nullptr);
}
std::unique_ptr<SavedVariableHooks> PyDefaultSavedVariableHooks::get_hooks() {
auto out = at::SavedTensorDefaultHooks::get_hooks();
if (!out.has_value()) {
return nullptr;
}
auto [pack_hook, unpack_hook] = *out;
py::gil_scoped_acquire gil;
py::function pack_hook_ =
py::reinterpret_steal<py::function>(pack_hook.release());
py::function unpack_hook_ =
py::reinterpret_steal<py::function>(unpack_hook.release());
return std::make_unique<PySavedVariableHooks>(pack_hook_, unpack_hook_);
}
} // namespace torch::autograd
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