Fixing erroneous git push

Signed-off-by: Alex McCaskey <mccaskeyaj@ornl.gov>

src/runtime/graph/CMakeLists.txt

 set(LIBRARY_NAME exatn-runtime-graph)
 
-file(GLOB SRC boost/DirectedBoostGraph.cpp GraphActivator.cpp)
+file(GLOB SRC
+     tensor_exec_state.cpp
+     boost/directed_boost_graph.cpp
+     graph_activator.cpp)
 
 usfunctiongetresourcesource(TARGET ${LIBRARY_NAME} OUT SRC)
 usfunctiongeneratebundleinit(TARGET ${LIBRARY_NAME} OUT SRC)

src/runtime/graph/boost/directed_boost_graph.cpp

+#include "directed_boost_graph.hpp"
+
+using namespace boost;
+
+namespace exatn {
+namespace runtime {
+
+DirectedBoostGraph::DirectedBoostGraph() {
+  dag_ = std::make_shared<d_adj_list>();
+}
+
+
+VertexIdType DirectedBoostGraph::addOperation(std::shared_ptr<TensorOperation> op) {
+  auto vid = add_vertex(*dag_);
+  (*dag_)[vid].properties = std::move(std::make_shared<TensorOpNode>(op));
+  (*dag_)[vid].properties->setId(vid); //DAG node id is stored in the node properties
+  return vid; //new node id in the DAG
+}
+
+
+void DirectedBoostGraph::addDependency(VertexIdType dependent, VertexIdType dependee) {
+  add_edge(vertex(dependent,*dag_), vertex(dependee,*dag_), *dag_);
+  return;
+}
+
+
+TensorOpNode & DirectedBoostGraph::getNodeProperties(VertexIdType vertex_id) {
+  return *((*dag_)[vertex_id].properties);
+}
+
+
+void DirectedBoostGraph::setNodeExecuting(VertexIdType vertex_id) {
+  (*dag_)[vertex_id].properties->setExecuting();
+  return;
+}
+
+
+void DirectedBoostGraph::setNodeExecuted(VertexIdType vertex_id, int error_code) {
+  (*dag_)[vertex_id].properties->setExecuted(error_code);
+  return;
+}
+
+
+bool DirectedBoostGraph::nodeExecuting(VertexIdType vertex_id) {
+  return (*dag_)[vertex_id].properties->isExecuting();
+}
+
+
+bool DirectedBoostGraph::nodeExecuted(VertexIdType vertex_id) {
+  return (*dag_)[vertex_id].properties->isExecuted();
+}
+
+
+bool DirectedBoostGraph::dependencyExists(VertexIdType vertex_id1, VertexIdType vertex_id2) {
+  auto vid1 = vertex(vertex_id1, *dag_);
+  auto vid2 = vertex(vertex_id2, *dag_);
+  auto p = edge(vid1, vid2, *dag_);
+  return p.second;
+}
+
+
+std::size_t DirectedBoostGraph::degree(VertexIdType vertex_id) {
+//return boost::degree(vertex(vertex_id, *dag_), *dag_);
+  return getNeighborList(vertex_id).size();
+}
+
+
+std::size_t DirectedBoostGraph::getNumDependencies() {
+  return num_edges(*dag_);
+}
+
+
+std::size_t DirectedBoostGraph::getNumNodes() {
+  return num_vertices(*dag_);
+}
+
+
+std::vector<VertexIdType> DirectedBoostGraph::getNeighborList(VertexIdType vertex_id) {
+  std::vector<VertexIdType> l;
+
+  typedef typename boost::property_map<d_adj_list, boost::vertex_index_t>::type IndexMap;
+  IndexMap indexMap = get(boost::vertex_index, *dag_);
+
+  typedef typename boost::graph_traits<d_adj_list>::adjacency_iterator adjacency_iterator;
+
+  std::pair<adjacency_iterator, adjacency_iterator> neighbors =
+    boost::adjacent_vertices(vertex(vertex_id, *dag_), *dag_);
+
+  for (; neighbors.first != neighbors.second; ++neighbors.first) {
+    VertexIdType neighborIdx = indexMap[*neighbors.first];
+    l.push_back(neighborIdx);
+  }
+
+  return l;
+}
+
+
+void DirectedBoostGraph::computeShortestPath(VertexIdType startIndex,
+                                             std::vector<double> & distances,
+                                             std::vector<VertexIdType> & paths) {
+  typename property_map<d_adj_list, edge_weight_t>::type weightmap =
+           get(edge_weight, *dag_);
+  std::vector<VertexIdType> p(num_vertices(*dag_));
+  std::vector<std::size_t> d(num_vertices(*dag_));
+  d_vertex_type s = vertex(startIndex, *dag_);
+
+  dijkstra_shortest_paths(
+      *dag_, s,
+      predecessor_map(boost::make_iterator_property_map(
+                             p.begin(), get(boost::vertex_index, *dag_)))
+          .distance_map(boost::make_iterator_property_map(
+                               d.begin(), get(boost::vertex_index, *dag_))));
+
+  for (const auto & di: d) distances.push_back(static_cast<double>(di));
+  for (const auto & pi: p) paths.push_back(pi);
+  return;
+}
+
+} // namespace runtime
+} // namespace exatn

src/runtime/graph/boost/directed_boost_graph.hpp

+/** ExaTN:: Tensor Runtime: Directed acyclic graph of tensor operations
+REVISION: 2019/07/24
+
+Copyright (C) 2018-2019 Tiffany Mintz, Dmitry Lyakh, Alex McCaskey
+Copyright (C) 2018-2019 Oak Ridge National Laboratory (UT-Battelle)
+
+Rationale:
+ (a) Tensor graph is a directed acyclic graph in which vertices
+     represent tensor operations and directed edges represent
+     dependencies between them: A directed edge from node1 to
+     node2 indicates that node1 depends on node2. Each DAG node
+     has its unique integer vertex id (VertexIdType) returned
+     when the node is added to the DAG.
+ (b) The tensor graph contains:
+     1. The DAG implementation (in the directed Boost graph subclass);
+     2. The DAG execution state (TensorExecState data member).
+**/
+
+#ifndef EXATN_RUNTIME_DAG_HPP_
+#define EXATN_RUNTIME_DAG_HPP_
+
+#include "tensor_graph.hpp"
+#include "tensor_operation.hpp"
+#include "tensor.hpp"
+
+#include <boost/graph/adjacency_list.hpp>
+#include <boost/graph/dag_shortest_paths.hpp>
+#include <boost/graph/dijkstra_shortest_paths.hpp>
+#include <boost/graph/eccentricity.hpp>
+#include <boost/graph/exterior_property.hpp>
+#include <boost/graph/floyd_warshall_shortest.hpp>
+#include <boost/graph/graph_traits.hpp>
+#include <boost/graph/graphviz.hpp>
+#include <boost/property_map/property_map.hpp>
+
+#include <type_traits>
+#include <string>
+#include <memory>
+#include <mutex>
+
+using namespace boost;
+
+namespace exatn {
+namespace runtime {
+
+struct DirectedBoostVertex {
+  std::shared_ptr<TensorOpNode> properties; //properties of the DAG node
+};
+
+
+using d_adj_list = adjacency_list<vecS, vecS, directedS, DirectedBoostVertex,
+      boost::property<boost::edge_weight_t, double>>;
+
+using DirectedGraphType = std::shared_ptr<d_adj_list>;
+
+using d_vertex_type = typename boost::graph_traits<adjacency_list<
+      vecS, vecS, directedS, DirectedBoostVertex,
+      boost::property<boost::edge_weight_t, double>>>::vertex_descriptor;
+
+using d_edge_type = typename boost::graph_traits<adjacency_list<
+      vecS, vecS, directedS, DirectedBoostVertex,
+      boost::property<boost::edge_weight_t, double>>>::edge_descriptor;
+
+static_assert(std::is_same<d_vertex_type,VertexIdType>::value,"Vertex id type mismatch!");
+
+
+class DirectedBoostGraph : public TensorGraph {
+
+public:
+  DirectedBoostGraph();
+  DirectedBoostGraph(const DirectedBoostGraph &) = delete;
+  DirectedBoostGraph & operator=(const DirectedBoostGraph &) = delete;
+  DirectedBoostGraph(DirectedBoostGraph &&) noexcept = default;
+  DirectedBoostGraph & operator=(DirectedBoostGraph &&) noexcept = default;
+  ~DirectedBoostGraph() = default;
+
+  VertexIdType addOperation(std::shared_ptr<TensorOperation> op) override;
+
+  void addDependency(VertexIdType dependent,
+                     VertexIdType dependee) override;
+
+  TensorOpNode & getNodeProperties(VertexIdType vertex_id) override;
+
+  void setNodeExecuting(VertexIdType vertex_id) override;
+
+  void setNodeExecuted(VertexIdType vertex_id,
+                       int error_code = 0) override;
+
+  bool nodeExecuting(VertexIdType vertex_id) override;
+
+  bool nodeExecuted(VertexIdType vertex_id) override;
+
+  bool dependencyExists(VertexIdType vertex_id1,
+                        VertexIdType vertex_id2) override;
+
+  std::size_t degree(VertexIdType vertex_id) override;
+
+  std::size_t getNumDependencies() override;
+
+  std::size_t getNumNodes() override;
+
+  std::vector<VertexIdType> getNeighborList(VertexIdType vertex_id) override;
+
+  void computeShortestPath(VertexIdType startIndex,
+                           std::vector<double> & distances,
+                           std::vector<VertexIdType> & paths) override;
+
+  const std::string name() const override {
+    return "boost-digraph";
+  }
+
+  const std::string description() const override {
+    return "Directed acyclic graph of tensor operations";
+  }
+
+  std::shared_ptr<TensorGraph> clone() override {
+    return std::make_shared<DirectedBoostGraph>();
+  }
+
+  inline void lock() {mtx_.lock();}
+  inline void unlock() {mtx_.unlock();}
+
+protected:
+  DirectedGraphType dag_; //std::shared_ptr<d_adj_list>
+  std::recursive_mutex mtx_; //object access mutex
+};
+
+} // namespace runtime
+} // namespace exatn
+
+#endif //EXATN_RUNTIME_DAG_HPP_

src/runtime/graph/boost/tests/CMakeLists.txt

 
 exatn_add_test(DirectedBoostGraphTester DirectedBoostGraphTester.cpp)
 target_include_directories(DirectedBoostGraphTester PRIVATE ${CMAKE_SOURCE_DIR}/src/runtime/graph/boost ${CMAKE_SOURCE_DIR}/src/runtime/graph ${CMAKE_SOURCE_DIR}/src/exatn ${CMAKE_SOURCE_DIR}/tpls/mpark-variant)
-target_link_libraries(DirectedBoostGraphTester PRIVATE exatn-runtime-graph Boost::graph)
+target_link_libraries(DirectedBoostGraphTester PRIVATE exatn-numerics exatn-runtime-graph Boost::graph)

src/runtime/graph/boost/tests/DirectedBoostGraphTester.cpp

@@ -11,17 +11,17 @@
  *   Alexander J. McCaskey - initial API and implementation
  *******************************************************************************/
 #include <gtest/gtest.h>
-#include "DirectedBoostGraph.hpp"
+#include "directed_boost_graph.hpp"
 
 using namespace boost;
 using namespace exatn;
 
 TEST(DirectedGraphTester, checkConstruction) {
 
-  // Implement this when we have TensorOp
+  // Implement this when we have TensorOperation
 }
 
 int main(int argc, char **argv) {
   ::testing::InitGoogleTest(&argc, argv);
   return RUN_ALL_TESTS();
-}
\ No newline at end of file
+}

src/runtime/graph/graph_activator.cpp

+#include "directed_boost_graph.hpp"
+
+#include "cppmicroservices/BundleActivator.h"
+#include "cppmicroservices/BundleContext.h"
+
+#include <memory>
+#include <set>
+
+using namespace cppmicroservices;
+
+namespace {
+
+/**
+ */
+class US_ABI_LOCAL GraphActivator : public BundleActivator {
+
+public:
+  GraphActivator() {}
+
+  /**
+   */
+  void Start(BundleContext context) {
+
+    auto g = std::make_shared<exatn::runtime::DirectedBoostGraph>();
+    context.RegisterService<exatn::runtime::TensorGraph>(g);
+  }
+
+  /**
+   */
+  void Stop(BundleContext /*context*/) {}
+};
+
+} // namespace
+
+CPPMICROSERVICES_EXPORT_BUNDLE_ACTIVATOR(GraphActivator)

src/runtime/graph/tensor_exec_state.cpp

+/** ExaTN:: Tensor Runtime: Tensor graph execution state
+REVISION: 2019/07/23
+
+Copyright (C) 2018-2019 Dmitry Lyakh, Tiffany Mintz, Alex McCaskey
+Copyright (C) 2018-2019 Oak Ridge National Laboratory (UT-Battelle)
+**/
+
+#include "tensor_exec_state.hpp"
+
+#include <iostream>
+
+namespace exatn {
+namespace runtime {
+
+int TensorExecState::incrTensorUpdate(const Tensor & tensor)
+{
+  auto tens_hash = tensor.getTensorHash();
+  this->lock();
+  auto iter = tensor_update_cnt_.find(tens_hash);
+  if(iter == tensor_update_cnt_.end()){
+    auto pos = tensor_update_cnt_.emplace(std::make_pair(tens_hash,0));
+    iter = pos.first;
+  }
+  auto & count = iter->second;
+  ++count;
+  this->unlock();
+  return count;
+}
+
+int TensorExecState::decrTensorUpdate(const Tensor & tensor)
+{
+  auto tens_hash = tensor.getTensorHash();
+  this->lock();
+  auto iter = tensor_update_cnt_.find(tens_hash);
+  assert(iter != tensor_update_cnt_.end());
+  auto & count = iter->second;
+  --count;
+  this->unlock();
+  return count;
+}
+
+void TensorExecState::updateLastTensorRead(const Tensor & tensor, VertexIdType node_id)
+{
+  auto tens_hash = tensor.getTensorHash();
+  this->lock();
+  auto iter = tensor_last_read_.find(tens_hash);
+  if(iter == tensor_last_read_.end()){
+    auto pos = tensor_last_read_.emplace(std::make_pair(tens_hash,node_id));
+  }else{
+    iter->second = node_id;
+  }
+  this->unlock();
+  return;
+}
+
+void TensorExecState::updateLastTensorWrite(const Tensor & tensor, VertexIdType node_id)
+{
+  auto tens_hash = tensor.getTensorHash();
+  this->lock();
+  auto iter = tensor_last_write_.find(tens_hash);
+  if(iter == tensor_last_write_.end()){
+    auto pos = tensor_last_write_.emplace(std::make_pair(tens_hash,node_id));
+  }else{
+    iter->second = node_id;
+  }
+  this->unlock();
+  return;
+}
+
+void TensorExecState::clearLastTensorRead(const Tensor & tensor)
+{
+  auto tens_hash = tensor.getTensorHash();
+  this->lock();
+  assert(tensor_last_read_.erase(tens_hash) == 1);
+  this->unlock();
+  return;
+}
+
+void TensorExecState::clearLastTensorWrite(const Tensor & tensor)
+{
+  auto tens_hash = tensor.getTensorHash();
+  this->lock();
+  assert(tensor_last_write_.erase(tens_hash) == 1);
+  this->unlock();
+  return;
+}
+
+void TensorExecState::registerDependencyFreeNode(VertexIdType node_id)
+{
+  this->lock();
+  nodes_ready_.emplace_back(node_id);
+  this->unlock();
+  return;
+}
+
+bool TensorExecState::extractDependencyFreeNode(VertexIdType * node_id)
+{
+  this->lock();
+  bool empty = nodes_ready_.empty();
+  if(!empty){
+    *node_id = nodes_ready_.front();
+    nodes_ready_.pop_front();
+  }
+  this->unlock();
+  return !empty;
+}
+
+void TensorExecState::registerExecutingNode(VertexIdType node_id)
+{
+  this->lock();
+  nodes_executing_.emplace_back(node_id);
+  this->unlock();
+  return;
+}
+
+bool TensorExecState::extractExecutingNode(VertexIdType * node_id)
+{
+  this->lock();
+  bool empty = nodes_executing_.empty();
+  if(!empty){
+    *node_id = nodes_executing_.front();
+    nodes_executing_.pop_front();
+  }
+  this->unlock();
+  return !empty;
+}
+
+} // namespace runtime
+} // namespace exatn

src/runtime/graph/tensor_exec_state.hpp

+/** ExaTN:: Tensor Runtime: Tensor graph execution state
+REVISION: 2019/07/23
+
+Copyright (C) 2018-2019 Dmitry Lyakh, Tiffany Mintz, Alex McCaskey
+Copyright (C) 2018-2019 Oak Ridge National Laboratory (UT-Battelle)
+
+Rationale:
+ (a) Tensor graph is a directed acyclic graph in which vertices
+     represent tensor operations and directed edges represent
+     dependencies between them: A directed edge from node1 to
+     node2 indicates that node1 depends on node2. Each DAG node
+     has its unique integer vertex id (VertexIdType) returned
+     when the node is added to the DAG.
+ (b) The tensor graph contains:
+     1. The DAG implementation (in the DirectedBoostGraph subclass);
+     2. The DAG execution state (TensorExecState data member).
+**/
+
+#ifndef EXATN_RUNTIME_TENSOR_EXEC_STATE_HPP_
+#define EXATN_RUNTIME_TENSOR_EXEC_STATE_HPP_
+
+#include "tensor_operation.hpp"
+#include "tensor.hpp"
+
+#include <unordered_map>
+#include <list>
+#include <memory>
+#include <mutex>
+
+namespace exatn {
+namespace runtime {
+
+// Tensor Graph node id (DirectedBoostGraph vertex descriptor):
+using VertexIdType = std::size_t; //must match with boost::graph vertex descriptor type
+
+// Tensor implementation:
+using numerics::TensorHashType; //each numerics::Tensor has its unique integer hash
+using numerics::Tensor;
+using numerics::TensorOperation;
+
+
+class TensorExecState {
+
+public:
+  TensorExecState() = default;
+  TensorExecState(const TensorExecState &) = delete;
+  TensorExecState & operator=(const TensorExecState &) = delete;
+  TensorExecState(TensorExecState &&) noexcept = default;
+  TensorExecState & operator=(TensorExecState &&) noexcept = default;
+  ~TensorExecState() = default;
+
+  /** Registers an update operation on a tensor in the DAG.
+      Returns the updated outstanding update count on the tensor. **/
+  int incrTensorUpdate(const Tensor & tensor);
+  /** Registers completion of an update operation on a tensor in the DAG.
+      Returns the updated outstanding update count on the tensor. **/
+  int decrTensorUpdate(const Tensor & tensor);
+
+  /** Updates the last DAG node id performing a read on a given tensor. **/
+  void updateLastTensorRead(const Tensor & tensor, VertexIdType node_id);
+  /** Updates the last DAG node id performing a write on a given tensor. **/
+  void updateLastTensorWrite(const Tensor & tensor, VertexIdType node_id);
+  /** Clears the last read on a tensor **/
+  void clearLastTensorRead(const Tensor & tensor);
+  /** Clears the last write on a tensor. **/
+  void clearLastTensorWrite(const Tensor & tensor);
+
+  /** Registers a DAG node without dependencies. **/
+  void registerDependencyFreeNode(VertexIdType node_id);
+  /** Extracts a dependency-free node from the list.
+      Returns FALSE if no such node exists. **/
+  bool extractDependencyFreeNode(VertexIdType * node_id);
+
+  /** Registers a DAG node as being executed. **/
+  void registerExecutingNode(VertexIdType node_id);
+  /** Extracts an executed DAG node from the list. **/
+  bool extractExecutingNode(VertexIdType * node_id);
+
+  inline void lock() {mtx_.lock();}
+  inline void unlock() {mtx_.unlock();}
+
+private:
+  /** Table for tracking the execution status on a given tensor:
+      Tensor Hash --> Number of outstanding update operations on the Tensor **/
+  std::unordered_map<TensorHashType,int> tensor_update_cnt_;
+  /** Table for tracking last read or write access on a given tensor:
+      Tensor Hash --> Last node of DAG performing read or write on the Tensor **/
+  std::unordered_map<TensorHashType,VertexIdType> tensor_last_read_;
+  std::unordered_map<TensorHashType,VertexIdType> tensor_last_write_;
+  /** List of dependency-free unexecuted DAG nodes **/
+  std::list<VertexIdType> nodes_ready_;
+  /** List of the currently executed DAG nodes **/
+  std::list<VertexIdType> nodes_executing_;
+  /** Object access mutex **/
+  std::recursive_mutex mtx_;
+};
+
+} // namespace runtime
+} // namespace exatn
+
+#endif //EXATN_RUNTIME_TENSOR_EXEC_STATE_HPP_

src/runtime/graph/tensor_graph.hpp

+/** ExaTN:: Tensor Runtime: Directed acyclic graph of tensor operations
+REVISION: 2019/07/23
+
+Copyright (C) 2018-2019 Tiffany Mintz, Dmitry Lyakh, Alex McCaskey
+Copyright (C) 2018-2019 Oak Ridge National Laboratory (UT-Battelle)
+
+Rationale:
+ (a) Tensor graph is a directed acyclic graph in which vertices
+     represent tensor operations and directed edges represent
+     dependencies between them: A directed edge from node1 to
+     node2 indicates that node1 depends on node2. Each DAG node
+     has its unique integer vertex id (VertexIdType) returned
+     when the node is added to the DAG.
+ (b) The tensor graph contains:
+     1. The DAG implementation (in the directed Boost graph subclass);
+     2. The DAG execution state (TensorExecState data member).
+**/
+
+#ifndef EXATN_RUNTIME_TENSOR_GRAPH_HPP_
+#define EXATN_RUNTIME_TENSOR_GRAPH_HPP_
+
+#include "Identifiable.hpp"
+
+#include "tensor_exec_state.hpp"
+#include "tensor_operation.hpp"
+#include "tensor.hpp"
+
+#include <vector>
+#include <memory>
+#include <mutex>
+
+namespace exatn {
+namespace runtime {
+
+// Tensor Graph node
+class TensorOpNode {
+
+public:
+  TensorOpNode():
+   op_(nullptr), is_noop_(true), executing_(false), executed_(false), error_(0)
+  {}
+
+  TensorOpNode(std::shared_ptr<TensorOperation> tens_op):
+   op_(tens_op), is_noop_(false), executing_(false), executed_(false), error_(0)