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#include "caffe2/core/net_parallel.h"
#include "caffe2/core/operator.h"
#include <sstream>
C10_DEFINE_string(
caffe2_task_graph_engine,
"futures",
"Task graph engine type used by net executor");
namespace caffe2 {
ParallelNet::ParallelNet(
const std::shared_ptr<const NetDef>& net_def,
Workspace* ws)
: NetBase(net_def, ws), options_(net_def), run_future_(nullptr) {
num_workers_ = net_def->num_workers();
CAFFE_ENFORCE_GT(
num_workers_, 0, "Expected positive number of worker threads");
helper_ = std::make_unique<ParallelNetExecutorHelper>(this);
// initialize operators
operator_nodes_ = dag_utils::prepareOperatorNodes(net_def, ws);
operators_.reserve(operator_nodes_.size());
for (const auto& node : operator_nodes_) {
auto op = node.operator_.get();
op->SetExecutorHelper(helper_.get());
operators_.push_back(op);
}
task_graph_ = TaskGraphRegistry()->Create(
FLAGS_caffe2_task_graph_engine, helper_.get(), options_);
CAFFE_ENFORCE(task_graph_, "Couldn't initialize task graph");
// compute chains
// TODO: inference mode for chaining
auto execution_chains = dag_utils::computeChains(operator_nodes_);
std::vector<std::vector<int>> chains;
chains.reserve(execution_chains.size());
for (const auto& kv : execution_chains) {
chains.push_back(kv.second);
}
auto chain_nodes = dag_utils::prepareChainGraphNodes(operator_nodes_, chains);
CAFFE_ENFORCE_EQ(chains.size(), chain_nodes.size());
// disable unused events
for (const auto& chain : chains) {
for (const auto& op_id : chain) {
if (op_id == chain.back() || op_id == chain.front()) {
continue;
}
auto op = operators_[op_id];
if (IsCPUDeviceType(op->device_option().device_type()) &&
op->HasAsyncPart()) {
continue;
}
op->DisableEvent();
}
}
// initialize task graph
for (auto chain_id = 0U; chain_id < chains.size(); ++chain_id) {
std::vector<OperatorBase*> ops;
ops.reserve(chains[chain_id].size());
for (auto op_id : chains[chain_id]) {
ops.push_back(operators_[op_id]);
}
CAFFE_ENFORCE(task_graph_->CreateNode(chain_id, ops));
}
for (auto chain_id = 0U; chain_id < chain_nodes.size(); ++chain_id) {
if (!chain_nodes[chain_id].parents_.empty()) {
CAFFE_ENFORCE(
task_graph_->AddDependency(chain_id, chain_nodes[chain_id].parents_));
}
}
// Freeze graph and initialize graph execution future
task_graph_->FreezeGraph();
run_future_ = task_graph_->GetFuture();
run_future_->SetCallback([this](const AsyncTaskFuture* /* unused */) {
StopAllObservers();
finishRun();
});
LOG(INFO) << "Initialized parallel net: '" << Name()
<< "', #ops: " << net_def->op_size()
<< ", #chains: " << chains.size() << ", #workers: " << num_workers_
<< ", dfs scheduling: " << options_.use_dfs_scheduling_
<< ", task graph engine: " << FLAGS_caffe2_task_graph_engine;
}
bool ParallelNet::RunAsync() {
reset();
StartAllObservers();
try {
task_graph_->ExecuteGraph();
} catch (const std::exception&) {
StopAllObservers();
return false;
}
return true;
}
void ParallelNet::Wait() {
CAFFE_ENFORCE(run_future_);
run_future_->Wait();
}
void ParallelNet::reset() {
task_graph_->Reset();
}
bool ParallelNet::handleRunError() {
CAFFE_ENFORCE(run_future_ && run_future_->IsCompleted());
// TODO: throw saved exceptions
if (run_future_->IsFailed()) {
LOG(ERROR) << "Failed parallel run (" << Name()
<< "): " << run_future_->ErrorMessage();
}
return !run_future_->IsFailed();
}
TaskThreadPoolBase* ParallelNet::poolGetter(
PoolsMap& pools,
int device_type,
int device_id,
int pool_size) {
std::unique_lock<std::mutex> pools_lock(pools_mutex_);
auto pool = pools[device_id][pool_size];
if (!pool) {
pool = c10::ThreadPoolRegistry()->Create(
DeviceTypeName(device_type),
device_id,
pool_size,
options_.use_per_net_pools_);
pools[device_id][pool_size] = pool;
}
return pool.get();
}
TaskThreadPoolBase* ParallelNet::Pool(const DeviceOption& device_option) {
if (options_.use_single_pool_) {
return poolGetter(cpu_pools_, PROTO_CPU, -1, num_workers_);
}
const auto device_type = device_option.device_type();
if (IsCPUDeviceType(device_type)) {
auto numa_node_id = -1;
if (device_option.has_numa_node_id()) {
numa_node_id = device_option.numa_node_id();
CAFFE_ENFORCE_GE(numa_node_id, 0, "Invalid NUMA node id: ", numa_node_id);
}
CAFFE_ENFORCE_LT(
numa_node_id,
FLAGS_caffe2_net_async_max_numa_nodes,
"Invalid NUMA node id: ",
numa_node_id);
return poolGetter(cpu_pools_, device_type, numa_node_id, num_workers_);
} else if (IsGPUDeviceType(device_type)) {
auto gpu_id = device_option.device_id();
CAFFE_ENFORCE(
gpu_id >= 0 && gpu_id < FLAGS_caffe2_net_async_max_gpus,
"Invalid GPU id: " + caffe2::to_string(gpu_id));
return poolGetter(gpu_pools_, device_type, gpu_id, num_workers_);
} else {
CAFFE_THROW("Unsupported device type " + caffe2::to_string(device_type));
}
}
bool ParallelNet::SupportsAsync() {
return true;
}
void ParallelNet::finishRun() {}
std::vector<OperatorBase*> ParallelNet::GetOperators() const {
return operators_;
}
std::shared_ptr<AsyncTaskGraphBase> GetAsyncTaskGraph(
ExecutorHelper* helper,
const ExecutionOptions& options) {
return std::make_shared<AsyncTaskGraph>(helper, options);
}
C10_DEFINE_SHARED_REGISTRY(
TaskGraphRegistry,
AsyncTaskGraphBase,
ExecutorHelper*,
const ExecutionOptions&);
C10_REGISTER_CREATOR(TaskGraphRegistry, futures, GetAsyncTaskGraph);
REGISTER_NET(parallel, ParallelNet);
} // namespace caffe2
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