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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/57294 With the advent of CPUs in the device maps, and to be more generic (e.g., to support AMD GPUs), and to avoid conversions when passing to Future and RRef and such, it's easier to use Devices instead of DeviceIndices. This started by just migrating the TensorPipe agent but the RPC layer is quite intertwined so I had to migrate a lot of stuff. ghstack-source-id: 127916562 Test Plan: CI Reviewed By: mrshenli Differential Revision: D28092733 fbshipit-source-id: 024dcb3648c5898ab13e770413c43958f04f1a8a
310 lines
11 KiB
C++
310 lines
11 KiB
C++
#include <torch/csrc/distributed/rpc/rpc_agent.h>
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namespace torch {
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namespace distributed {
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namespace rpc {
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constexpr size_t WorkerInfo::MAX_NAME_LEN;
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// Large Time Duration for waiting on the condition variable until the map is
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// population. Cannot use
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// std::chrono::time_point<std::chrono::steady_clock>::max() due to a known
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// overflow-related bug.
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constexpr auto kLargeTimeDuration = std::chrono::hours(10000);
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RpcAgent::RpcAgent(
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WorkerInfo workerId,
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std::unique_ptr<RequestCallback> cb,
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std::chrono::milliseconds rpcTimeout)
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: workerInfo_(std::move(workerId)),
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cb_(std::move(cb)),
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rpcTimeout_(rpcTimeout),
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profilingEnabled_(false),
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rpcAgentRunning_(false) {}
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RpcAgent::~RpcAgent() {
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if (rpcAgentRunning_.load()) {
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shutdown();
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}
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}
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void RpcAgent::start() {
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rpcAgentRunning_.store(true);
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rpcRetryThread_ = std::thread(&RpcAgent::retryExpiredRpcs, this);
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startImpl();
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}
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void RpcAgent::shutdown() {
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std::unique_lock<std::mutex> lock(rpcRetryMutex_);
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rpcAgentRunning_.store(false);
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lock.unlock();
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rpcRetryMapCV_.notify_one();
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if (rpcRetryThread_.joinable()) {
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rpcRetryThread_.join();
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}
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// NOLINTNEXTLINE(clang-analyzer-cplusplus.PureVirtualCall)
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shutdownImpl();
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}
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std::shared_ptr<JitFuture> RpcAgent::sendWithRetries(
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const WorkerInfo& to,
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Message&& message,
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RpcRetryOptions retryOptions) {
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TORCH_CHECK(retryOptions.maxRetries >= 0, "maxRetries cannot be negative.");
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TORCH_CHECK(
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retryOptions.retryBackoff >= 1,
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"maxRetries cannot be exponentially decaying.");
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TORCH_CHECK(
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retryOptions.rpcRetryDuration.count() >= 0,
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"rpcRetryDuration cannot be negative.");
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auto originalFuture = std::make_shared<JitFuture>(at::AnyClassType::get());
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steady_clock_time_point newTime =
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computeNewRpcRetryTime(retryOptions, /* retryCount */ 0);
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// Making a copy of the message so it can be retried after the first send.
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Message msgCopy = message;
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auto jitFuture = send(to, std::move(message));
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auto firstRetryRpc = std::make_shared<RpcRetryInfo>(
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to,
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std::move(msgCopy),
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originalFuture,
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/* retryCount */ 0,
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retryOptions);
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// Use weak_ptr so that the value can be std::moved in rpcRetryCallback.
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jitFuture->addCallback([this,
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newTime,
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firstRetryRpc,
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wp = std::weak_ptr<JitFuture>(jitFuture)]() {
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auto future = wp.lock();
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TORCH_INTERNAL_ASSERT(future);
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rpcRetryCallback(future, newTime, firstRetryRpc);
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});
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return originalFuture;
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}
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void RpcAgent::retryExpiredRpcs() {
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// Stores the retried futures so callbacks can be added outside the lock.
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std::vector<
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std::pair<std::shared_ptr<JitFuture>, std::shared_ptr<RpcRetryInfo>>>
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futures;
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// Stores futures and exception messages for non-retriable error-ed futures.
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std::vector<std::pair<std::shared_ptr<JitFuture>, std::string>> errorFutures;
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while (rpcAgentRunning_.load()) {
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std::unique_lock<std::mutex> lock(rpcRetryMutex_);
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// We must continue sleeping as long as the RPC Agent is running and when
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// either the Retry Map is empty, or when the Retry Map's earliest expiring
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// RPC is set to be retried in the future.
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steady_clock_time_point earliestTimeout =
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std::chrono::steady_clock::now() + kLargeTimeDuration;
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for (;;) {
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if (!rpcAgentRunning_.load())
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return;
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if (std::chrono::steady_clock::now() >= earliestTimeout)
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break;
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if (!rpcRetryMap_.empty()) {
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earliestTimeout = rpcRetryMap_.begin()->first;
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}
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rpcRetryMapCV_.wait_until(lock, earliestTimeout);
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}
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// Updating these since something may have been added to the map while this
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// thread was sleeping.
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earliestTimeout = rpcRetryMap_.begin()->first;
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auto& earliestRpcList = rpcRetryMap_.begin()->second;
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// We iterate through all the RPC's set to be retried at the current
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// timepoint, resend those RPC's, and add the RPC's and their futures to
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// a list to later attach callbacks. These callbacks either schedule
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// the RPC for a future retry or marks it with success/error depending on
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// the outcome of the current send. Then, we clean up the rpcRetryMap_.
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for (auto it = earliestRpcList.begin(); it != earliestRpcList.end();
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/* no increment */) {
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auto& earliestRpc = *it;
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// Making a copy of the message so it can be retried in the future.
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Message msgCopy = earliestRpc->message_;
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std::shared_ptr<JitFuture> jitFuture;
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// send() will throw an exception if an RPC is retried while the agent is
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// shutdown. We must catch this exception and mark the original future
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// with an error, since this RPC never succeeded and can no longer be
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// retried.
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try {
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jitFuture = send(earliestRpc->to_, std::move(msgCopy));
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futures.emplace_back(jitFuture, earliestRpc);
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} catch (std::exception& e) {
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// We must store the futures and exception messages here and only mark
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// the futures with an error after releasing the lock.
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errorFutures.emplace_back(earliestRpc->originalFuture_, e.what());
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}
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// A callback will be attached to all futures for the retries in this
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// list. Thus they will either be rescheduled for future retries or they
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// will be marked as complete. We can safely delete them from the retry
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// Map for the current timepoint.
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it = earliestRpcList.erase(it);
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}
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// If there are no more RPC's set to be retried at the current timepoint,
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// we can remove the corresponsing unordered_set from the retry map.
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if (earliestRpcList.empty()) {
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rpcRetryMap_.erase(earliestTimeout);
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}
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lock.unlock();
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// We attach callbacks to the futures outside of the lock to prevent
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// potential deadlocks.
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for (const auto& it : futures) {
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auto jitFuture = it.first;
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auto earliestRpc = it.second;
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steady_clock_time_point newTime = computeNewRpcRetryTime(
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earliestRpc->options_, earliestRpc->retryCount_);
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earliestRpc->retryCount_++;
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// Use weak_ptr so that the value can be std::moved in rpcRetryCallback.
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jitFuture->addCallback([this,
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newTime,
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earliestRpc,
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wp = std::weak_ptr<JitFuture>(jitFuture)]() {
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auto future = wp.lock();
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TORCH_INTERNAL_ASSERT(future);
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rpcRetryCallback(future, newTime, earliestRpc);
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});
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}
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futures.clear();
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// For exceptions caught while retrying RPC's above, we set those futures
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// with errors now that we have released the lock.
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for (const auto& it : errorFutures) {
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auto errorFuture = it.first;
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auto errorMsg = it.second;
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errorFuture->setError(
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std::make_exception_ptr(std::runtime_error(errorMsg)));
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}
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errorFutures.clear();
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}
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}
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void RpcAgent::rpcRetryCallback(
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const std::shared_ptr<JitFuture>& jitFuture,
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steady_clock_time_point newTime,
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std::shared_ptr<RpcRetryInfo> earliestRpc) {
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if (jitFuture->hasError()) {
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// Adding one since we want to include the original send as well and not
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// just the retry count.
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LOG(INFO) << "Send try " << (earliestRpc->retryCount_ + 1) << " failed";
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if (!rpcAgentRunning_.load()) {
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// If the RPC Agent has shutdown, we cannot retry messages. Thus we mark
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// the future with an error since the RPC was never completed
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// successfully.
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std::string errorMessage = c10::str(
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"RPC Agent is no longer running on Node ",
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RpcAgent::getWorkerInfo().id_,
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". Cannot retry message.");
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earliestRpc->originalFuture_->setError(jitFuture->exception_ptr());
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} else if (earliestRpc->retryCount_ < earliestRpc->options_.maxRetries) {
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// If the previous future completed with an error and we haven't
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// completed maxRetries send attempts, we move the earliestRpc
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// struct to a new time point in the retry map (effectively
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// scheduling it for a future retry.)
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{
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std::lock_guard<std::mutex> retryMapLock(rpcRetryMutex_);
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rpcRetryMap_[newTime].emplace(std::move(earliestRpc));
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}
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// The retry thread waits for the map to be populated. Thus we notify
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// once an item has been added.
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rpcRetryMapCV_.notify_one();
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} else {
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// We have completed maxRetries send attempts. We're now marking
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// the future with an error.
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std::string errorMessage = c10::str(
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"The RPC has not succeeded after the specified number of max retries (",
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earliestRpc->options_.maxRetries,
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").");
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earliestRpc->originalFuture_->setError(
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std::make_exception_ptr(std::runtime_error(errorMessage)));
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}
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} else {
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// This try succeeded, so we can make the original future as complete.
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earliestRpc->originalFuture_->markCompleted(jitFuture->value());
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}
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}
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const WorkerInfo& RpcAgent::getWorkerInfo() const {
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return workerInfo_;
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}
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std::shared_ptr<RpcAgent> RpcAgent::currentRpcAgent_ = nullptr;
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bool RpcAgent::isCurrentRpcAgentSet() {
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return std::atomic_load(¤tRpcAgent_) != nullptr;
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}
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std::shared_ptr<RpcAgent> RpcAgent::getCurrentRpcAgent() {
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std::shared_ptr<RpcAgent> agent = std::atomic_load(¤tRpcAgent_);
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TORCH_INTERNAL_ASSERT(agent, "Current RPC agent is not set!");
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return agent;
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}
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void RpcAgent::setCurrentRpcAgent(std::shared_ptr<RpcAgent> rpcAgent) {
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if (rpcAgent) {
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std::shared_ptr<RpcAgent> previousAgent;
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// Use compare_exchange so that we don't actually perform the exchange if
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// that would trigger the assert just below. See:
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// https://en.cppreference.com/w/cpp/atomic/atomic_compare_exchange
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std::atomic_compare_exchange_strong(
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¤tRpcAgent_, &previousAgent, std::move(rpcAgent));
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TORCH_INTERNAL_ASSERT(
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previousAgent == nullptr, "Current RPC agent is set!");
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} else {
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// We can't use compare_exchange (we don't know what value to expect) but we
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// don't need to, as the only case that would trigger the assert is if we
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// replaced nullptr with nullptr, which we can just do as it has no effect.
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std::shared_ptr<RpcAgent> previousAgent =
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std::atomic_exchange(¤tRpcAgent_, std::move(rpcAgent));
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TORCH_INTERNAL_ASSERT(
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previousAgent != nullptr, "Current RPC agent is not set!");
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}
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}
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void RpcAgent::setTypeResolver(std::shared_ptr<TypeResolver> typeResolver) {
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typeResolver_ = std::move(typeResolver);
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}
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std::shared_ptr<TypeResolver> RpcAgent::getTypeResolver() {
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TORCH_INTERNAL_ASSERT(typeResolver_, "Type resolver is not set!");
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return typeResolver_;
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}
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void RpcAgent::enableGILProfiling(bool flag) {
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profilingEnabled_ = flag;
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}
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bool RpcAgent::isGILProfilingEnabled() {
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return profilingEnabled_.load();
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}
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std::unordered_map<c10::Device, c10::Device> RpcAgent::getDeviceMap(
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const WorkerInfo& /* unused */) const {
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// Default implementation has no device map.
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return {};
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}
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std::unordered_map<std::string, std::string> RpcAgent::getDebugInfo() {
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/* This would later include more info other than metrics for eg: may include
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stack traces for the threads owned by the agent */
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// Default implementation: return getMetrics().
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return getMetrics();
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}
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std::ostream& operator<<(std::ostream& os, const WorkerInfo& workerInfo) {
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return os << "WorkerInfo(id=" << workerInfo.id_
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<< ", name=" << workerInfo.name_ << ")";
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}
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} // namespace rpc
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} // namespace distributed
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} // namespace torch
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