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#pragma once
#include <torch/csrc/distributed/rpc/rpc_command_base.h>
#include <torch/csrc/distributed/rpc/types.h>
#include <torch/csrc/distributed/rpc/unpickled_python_call.h>
#include <torch/csrc/utils/pybind.h>
namespace torch {
namespace distributed {
namespace rpc {
// This class converts the content in a PythonRemoteCall into py::object. This
// is a helper class to make sure that all arguments deserialization is done
// before entering RequestCallbackImpl::processRpc(...), so that the
// deserialization related logic can be carried out in one spot instead of
// scattered in multiple places for different message types.
// NB: The reason for not consolidating class into PythonRemoteCall is because
// PythonRemoteCall is a libtorch type which should not depend on Python types.
class TORCH_API UnpickledPythonRemoteCall final : public UnpickledPythonCall {
public:
explicit UnpickledPythonRemoteCall(
const SerializedPyObj& serializedPyObj,
const at::IValue& retRRefId,
const at::IValue& retForkId,
const bool isAsyncExecution);
const RRefId& rrefId() const;
const ForkId& forkId() const;
private:
RRefId rrefId_;
ForkId forkId_;
};
} // namespace rpc
} // namespace distributed
} // namespace torch
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