/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core/net_parallel.h (2144B)
#ifndef CAFFE2_CORE_NET_PARALLEL_H
#define CAFFE2_CORE_NET_PARALLEL_H
#include "caffe2/core/net_async_base.h"
#include "caffe2/core/net_async_task_graph.h"
C10_DECLARE_string(caffe2_task_graph_engine);
namespace caffe2 {
class ParallelNetExecutorHelper;
class TORCH_API ParallelNet : public NetBase {
public:
ParallelNet(const std::shared_ptr
& net_def, Workspace* ws);
bool RunAsync() override;
void Wait() override;
bool SupportsAsync() override;
std::vector GetOperators() const override;
TaskThreadPoolBase* Pool(const DeviceOption& device_option);
protected:
bool handleRunError() override;
virtual void finishRun();
virtual void reset();
ExecutionOptions options_;
int num_workers_;
std::unique_ptr helper_;
std::shared_ptr task_graph_;
AsyncTaskFuture* run_future_;
std::vector operator_nodes_;
std::vector operators_;
std::mutex pools_mutex_;
typedef std::unordered_map<
int,
std::unordered_map>>
PoolsMap;
PoolsMap cpu_pools_;
PoolsMap gpu_pools_;
TaskThreadPoolBase*
poolGetter(PoolsMap& pools, int device_type, int device_id, int pool_size);
friend class ParallelNetExecutorHelper;
C10_DISABLE_COPY_AND_ASSIGN(ParallelNet);
};
C10_DECLARE_SHARED_REGISTRY(
TaskGraphRegistry,
AsyncTaskGraphBase,
ExecutorHelper*,
const ExecutionOptions&);
std::shared_ptr GetAsyncTaskGraph(
ExecutorHelper* helper,
const ExecutionOptions& options);
class ParallelNetExecutorHelper : public ExecutorHelper {
public:
explicit ParallelNetExecutorHelper(ParallelNet* net) : net_(net) {}
TaskThreadPoolBase* GetPool(const DeviceOption& option) const override {
return net_->Pool(option);
}
std::vector GetOperators() const override {
return net_->GetOperators();
}
int GetNumWorkers() const override {
return net_->num_workers_;
}
private:
ParallelNet* net_;
};
} // namespace caffe2
#endif // CAFFE2_CORE_NET_PARALLEL_H