pytorch/torch/csrc/distributed/rpc/rref_impl.cpp
Shihao Xu 12bcfa7c77 Remove Python dependency (toPyTuple/fromPyTuple, jitCompilationUnit, deserialize) in rref_impl.h/cpp (#32753)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32753

Functions to be bound as an Aten operator could not have Python dependency.

This is to refactor and remove Python dependency.
ghstack-source-id: 97485800

Test Plan:
```
buck test mode/dev-nosan //caffe2/test/distributed/rpc:rpc_fork -- test_script_functions_not_supported

buck build mode/dev-nosan //caffe2/test/distributed/rpc:rpc_fork

buck-out/gen/caffe2/test/distributed/rpc/rpc_fork\#binary.par -r test_script_functions_not_supported
```

```
buck test mode/dev-nosan //caffe2/test/distributed/rpc:dist_autograd_fork

buck build mode/dev-nosan //caffe2/test/distributed/rpc:dist_autograd_fork

buck-out/gen/caffe2/test/distributed/rpc/dist_autograd_fork\#binary.par -r test_backward_simple_script_call
```

Differential Revision: D5741675

fbshipit-source-id: 31ee60955be8d815d0773f3699e3ff2f1f9d8849
2020-01-30 17:52:48 -08:00

155 lines
4.5 KiB
C++

#include <torch/csrc/distributed/rpc/rref_impl.h>
#include <torch/csrc/distributed/autograd/rpc_messages/rpc_with_autograd.h>
#include <torch/csrc/distributed/autograd/utils.h>
#include <torch/csrc/distributed/rpc/rref_context.h>
#include <torch/csrc/distributed/rpc/rref_proto.h>
#include <torch/csrc/distributed/rpc/utils.h>
namespace torch {
namespace distributed {
namespace rpc {
std::atomic<local_id_t> RRefContext::nextLocalId_{0};
////////////////////////// RRefForkData /////////////////////////////////
RRefForkData::RRefForkData(
worker_id_t ownerId,
const RRefId& rrefId,
const ForkId& forkId,
worker_id_t parent,
std::string typeStr)
: ownerId_(ownerId),
rrefId_(rrefId),
forkId_(forkId),
parent_(parent),
typeStr_(std::move(typeStr)) {}
////////////////////////////// RRef /////////////////////////////////////
RRef::RRef(worker_id_t ownerId, const RRefId& rrefId, TypePtr type)
: RRefInterface(),
ownerId_(ownerId),
rrefId_(rrefId),
type_(std::move(type)) {}
RRefForkData RRef::fork() const {
auto& ctx = RRefContext::getInstance();
return RRefForkData(
ownerId_,
rrefId_,
ctx.genGloballyUniqueId(),
ctx.getWorkerId(),
type_->str());
}
////////////////////////// UserRRef /////////////////////////////////////
UserRRef::UserRRef(
worker_id_t ownerId,
const RRefId& rrefId,
const ForkId& forkId,
TypePtr type)
: RRef(ownerId, rrefId, std::move(type)), forkId_(forkId) {
// Do nothing,
// (1) If this UserRRef is a fork of an existing RRef, RRefContext will send
// a RREF_FORK_REQUEST message to the owner.
// (2) If this the creator UserRRef, ScriptRemoteCall or PythonRemoteCall will
// properly notify the owner.
}
UserRRef::~UserRRef() {
try {
RRefContext::getInstance().delUser(ownerId_, rrefId_, forkId_);
} catch (const std::exception& ex) {
LOG(ERROR) << "Error occurred when deleting UserRRef instance, "
<< "RRefId = " << rrefId_ << ", ForkId = " << forkId_ << " : "
<< ex.what();
} catch (...) {
LOG(ERROR) << "Error occurred when deleting UserRRef instance, "
<< "RRefId = " << rrefId_ << ", ForkId = " << forkId_ << " : "
<< "unknown error";
}
}
const ForkId& UserRRef::forkId() const {
return forkId_;
}
std::vector<IValue> UserRRef::toHere() {
auto agent = RpcAgent::getCurrentRpcAgent();
// ScriptRRefFetchCall message always carries autograd context id even if
// the message itself does not contain any tensor, because the response would
// potentially contain tensors.
Message msgToSend;
if (isPyObj()) {
msgToSend = PythonRRefFetchCall(ownerId_, rrefId()).toMessage();
} else {
msgToSend = ScriptRRefFetchCall(ownerId_, rrefId()).toMessage();
}
auto futureResponse = autograd::sendMessageWithAutograd(
*agent,
agent->getWorkerInfo(ownerId_),
std::move(msgToSend),
true /* forceGradRecording */);
const Message& message = futureResponse->wait();
MessageType msgType = message.type();
auto response = deserializeResponse(message, msgType);
TORCH_INTERNAL_ASSERT(
msgType == MessageType::SCRIPT_RREF_FETCH_RET ||
msgType == MessageType::PYTHON_RREF_FETCH_RET,
"Message type should either be SCRIPT_RREF_FETCH_RET "
"or PYTHON_RREF_FETCH_RET");
RpcCommandBase& rpc = *response;
auto& rrefFetchRet = static_cast<RRefFetchRet&>(rpc);
return rrefFetchRet.values();
}
////////////////////////// OwnerRRef /////////////////////////////////////
const IValue& OwnerRRef::getValue() const {
std::unique_lock<std::mutex> lock(mutex_);
valueCV_.wait(lock, [this] { return value_.has_value(); });
return value_.value();
}
bool OwnerRRef::hasValue() const {
std::lock_guard<std::mutex> lock(mutex_);
return value_.has_value();
}
std::shared_ptr<FutureMessage> OwnerRRef::getFuture() {
std::unique_lock<std::mutex> lock(mutex_);
if (future_.get()) {
return future_;
}
future_ = std::make_shared<FutureMessage>();
std::shared_ptr<FutureMessage> ret = future_;
if (value_.has_value()) {
lock.unlock();
ret->markCompleted(Message());
}
return ret;
}
void OwnerRRef::setValue(IValue&& value) {
std::unique_lock<std::mutex> lock(mutex_);
value_ = std::move(value);
std::shared_ptr<FutureMessage> future;
future.swap(future_);
lock.unlock();
valueCV_.notify_all();
if (future.get() && !future->completed()) {
future->markCompleted(Message());
}
}
} // namespace rpc
} // namespace distributed
} // namespace torch