pytorch/torch/csrc/distributed/rpc/init.cpp
Shihao Xu e66626ae5c Lift rpc_timeout to RpcAgent, for other RpcAgents to reuse. (#29341)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/29341

So that other RpcAgent could use this timeout setting as well.

ghstack-source-id: 93481902

Differential Revision: D5681951

fbshipit-source-id: 569c768dc342e8a2d9faf142ceccf696e12e41dc
2019-11-07 17:05:45 -08:00

192 lines
5.9 KiB
C++

#include <torch/csrc/python_headers.h>
#include <torch/csrc/distributed/rpc/future_message.h>
#include <torch/csrc/distributed/rpc/process_group_agent.h>
#include <torch/csrc/distributed/rpc/py_rref.h>
#include <torch/csrc/distributed/rpc/python_functions.h>
#include <torch/csrc/distributed/rpc/rpc_agent.h>
#include <torch/csrc/distributed/rpc/rref.h>
#include <torch/csrc/distributed/rpc/rref_context.h>
#include <torch/csrc/distributed/rpc/types.h>
#include <torch/csrc/jit/pybind_utils.h>
#include <torch/csrc/utils/object_ptr.h>
#include <torch/csrc/utils/pybind.h>
#include <torch/types.h>
#include <pybind11/chrono.h>
namespace torch {
namespace distributed {
namespace rpc {
namespace {
template <typename T>
using shared_ptr_class_ = py::class_<T, std::shared_ptr<T>>;
PyObject* rpc_init(PyObject* /* unused */) {
auto rpc_module =
THPObjectPtr(PyImport_ImportModule("torch.distributed.rpc"));
if (!rpc_module) {
throw python_error();
}
auto module = py::handle(rpc_module).cast<py::module>();
auto workerInfo = shared_ptr_class_<WorkerInfo>(module, "WorkerInfo")
.def_readonly("name", &WorkerInfo::name_)
.def_readonly("id", &WorkerInfo::id_);
auto rpcAgent =
shared_ptr_class_<RpcAgent>(module, "RpcAgent")
.def(
"join", &RpcAgent::join, py::call_guard<py::gil_scoped_release>())
.def(
"sync", &RpcAgent::sync, py::call_guard<py::gil_scoped_release>())
.def(
"_get_rpc_timeout",
&RpcAgent::getRpcTimeout,
py::call_guard<py::gil_scoped_release>());
auto pyFuture = shared_ptr_class_<PyFuture>(module, "Future")
.def(
"wait",
&PyFuture::wait,
py::call_guard<py::gil_scoped_release>());
auto pyRRef =
shared_ptr_class_<PyRRef>(module, "RRef")
.def(
// not releasing GIL here to avoid context switch on getters
"is_owner",
&PyRRef::isOwner)
.def(
// not releasing GIL here to avoid context switch on getters
"owner",
&PyRRef::owner)
.def(
"to_here",
&PyRRef::toHere,
py::call_guard<py::gil_scoped_release>())
.def(
"local_value",
&PyRRef::localValue,
py::call_guard<py::gil_scoped_release>())
.def(py::pickle(
[](const PyRRef& self) {
// __getstate__
return self.pickle();
},
[](py::tuple t) { // NOLINT
// __setstate__
return PyRRef::unpickle(t);
}));
// future.wait() should not be called after join_rpc(), e.g., pythonRpcHandler
// is cleaned up in join_rpc(), after join_rpc(), python objects returned
// from rpc python call can not be resolved.
auto futureMessage =
shared_ptr_class_<FutureMessage>(module, "FutureMessage")
.def(
"wait",
[&](FutureMessage& fut) { return toPyObj(fut.wait()); },
py::call_guard<py::gil_scoped_release>());
shared_ptr_class_<ProcessGroupAgent>(module, "ProcessGroupAgent", rpcAgent)
.def(
py::init<
std::string,
std::shared_ptr<::c10d::ProcessGroup>,
int,
std::chrono::milliseconds>(),
py::arg("name"),
py::arg("process_group"),
py::arg("num_send_recv_threads"),
py::arg("rpc_timeout"))
.def(
"get_worker_info",
(const WorkerInfo& (ProcessGroupAgent::*)(void)const) &
RpcAgent::getWorkerInfo,
py::call_guard<py::gil_scoped_release>())
.def(
"get_worker_info",
(const WorkerInfo& (ProcessGroupAgent::*)(const std::string&)const) &
ProcessGroupAgent::getWorkerInfo,
py::call_guard<py::gil_scoped_release>())
.def(
"join",
&ProcessGroupAgent::join,
py::call_guard<py::gil_scoped_release>())
.def(
"sync",
&ProcessGroupAgent::sync,
py::call_guard<py::gil_scoped_release>());
module.def("_start_rpc_agent", [](const std::shared_ptr<RpcAgent>& agent) {
RpcAgent::setDefaultRpcAgent(agent);
agent->start();
});
module.def("_destroy_rref_context", []() {
RRefContext::getInstance().destroyInstance();
});
module.def("_cleanup_python_rpc_handler", []() {
PythonRpcHandler::getInstance().cleanup();
});
module.def(
"invoke_rpc_builtin",
[](RpcAgent& agent,
const WorkerInfo& dst,
const std::string& opName,
const py::args& args,
const py::kwargs& kwargs) {
return pyRpcBuiltin(agent, dst, opName, args, kwargs);
});
module.def(
"invoke_rpc_python_udf",
[](RpcAgent& agent,
const WorkerInfo& dst,
std::string& pickledPythonUDF,
std::vector<torch::Tensor>& tensors) {
return pyRpcPythonUdf(agent, dst, pickledPythonUDF, tensors);
});
module.def(
"invoke_remote_builtin",
[](RpcAgent& agent,
const WorkerInfo& dst,
const std::string& opName,
const py::args& args,
const py::kwargs& kwargs) {
return pyRemoteBuiltin(agent, dst, opName, args, kwargs);
});
module.def(
"invoke_remote_python_udf",
[](RpcAgent& agent,
const WorkerInfo& dst,
std::string& pickledPythonUDF,
std::vector<torch::Tensor>& tensors) {
return pyRemotePythonUdf(agent, dst, pickledPythonUDF, tensors);
});
Py_RETURN_TRUE;
}
} // namespace
static PyMethodDef methods[] = { // NOLINT
{"_rpc_init", (PyCFunction)rpc_init, METH_NOARGS, nullptr},
{nullptr, nullptr, 0, nullptr}};
PyMethodDef* python_functions() {
return methods;
}
} // namespace rpc
} // namespace distributed
} // namespace torch