pytorch/c10/core/SafePyObject.h

#pragma once

#include <c10/core/impl/PyInterpreter.h>
#include <c10/macros/Macros.h>
#include <c10/util/python_stub.h>

namespace c10 {

// This is an safe owning holder for a PyObject, akin to pybind11's
// py::object, with two major differences:
//
//  - It is in c10/core; i.e., you can use this type in contexts where
//    you do not have a libpython dependency
//
//  - It is multi-interpreter safe (ala torchdeploy); when you fetch
//    the underlying PyObject* you are required to specify what the current
//    interpreter context is and we will check that you match it.
//
// It is INVALID to store a reference to a Tensor object in this way;
// you should just use TensorImpl directly in that case!
struct C10_API SafePyObject {
  // Steals a reference to data
  SafePyObject(PyObject* data, c10::impl::PyInterpreter* pyinterpreter)
      : data_(data), pyinterpreter_(pyinterpreter) {}

  // In principle this could be copyable if we add an incref to PyInterpreter
  // but for now it's easier to just disallow it.
  SafePyObject(SafePyObject const&) = delete;
  SafePyObject& operator=(SafePyObject const&) = delete;

  ~SafePyObject() {
    pyinterpreter_->decref(data_, /*is_tensor*/ false);
  }

  c10::impl::PyInterpreter* pyinterpreter() const {
    return pyinterpreter_;
  }
  PyObject* ptr(const c10::impl::PyInterpreter*) const;

 private:
  PyObject* data_;
  c10::impl::PyInterpreter* pyinterpreter_;
};

} // namespace c10