Merge branch 'fix/scheduler_exec_time' into feat/operator_globalAveragePooling

include/aidge/scheduler/Scheduler.hpp

@@ -116,6 +116,7 @@ private:
     /** @brief List of nodes ordered by their */
     std::vector<std::vector<std::shared_ptr<Node>>> mStaticSchedule;
     size_t mStaticScheduleStep = 0;
+    mutable std::map<std::shared_ptr<Node>, PriorProducersConsumers> mPriorCache;
 };
 } // namespace Aidge
 

src/graph/Node.cpp

@@ -173,7 +173,6 @@ void Aidge::Node::setInputId(const IOIndex_t inId, const IOIndex_t newNodeoutId)
         "Input index ({}) is out of bound ({}) for node {} (of type {})",
         inId, nbInputs(), name(), type());
     if (mIdOutParents[inId] != gk_IODefaultIndex) {
-        fmt::print("Warning: filling a Tensor already attributed\n");
         auto originalParent = input(inId);
         // remove original parent reference to child
         // find the output ID for original Parent

src/scheduler/Scheduler.cpp

@@ -83,6 +83,7 @@ void Aidge::SequentialScheduler::generateScheduling(bool verbose) {
         if (verbose) fmt::print("List of consumers with their priors:\n");
         std::set<std::shared_ptr<Node>> requiredProducers;
         std::set<std::shared_ptr<Node>> priorConsumers;
+        mPriorCache.clear();
 
         for (const auto& consumer : consumers) {
             if (verbose) {
@@ -566,6 +567,11 @@ Aidge::NbElts_t Aidge::SequentialScheduler::getNbAvailableData(const std::shared
 Aidge::SequentialScheduler::PriorProducersConsumers Aidge::SequentialScheduler::getPriorProducersConsumers(
     const std::shared_ptr<Node>& node) const
 {
+    const auto priorCache = mPriorCache.find(node);
+    if (priorCache != mPriorCache.end()) {
+        return priorCache->second;
+    }
+
     PriorProducersConsumers prior;
 
     IOIndex_t inputIdx = 0;
@@ -606,5 +612,6 @@ Aidge::SequentialScheduler::PriorProducersConsumers Aidge::SequentialScheduler::
     if (prior.priorConsumers.empty()) {
         prior.priorConsumers.insert(node);
     }
+    mPriorCache.insert(std::make_pair(node, prior));
     return prior;
 }

unit_tests/scheduler/Test_Scheduler.cpp

@@ -21,8 +21,8 @@
 #include "aidge/backend/OperatorImpl.hpp"
 #include "aidge/data/Tensor.hpp"
 #include "aidge/graph/GraphView.hpp"
-#include "aidge/graph/Testing.hpp"
 #include "aidge/graph/OpArgs.hpp"
+#include "aidge/graph/Testing.hpp"
 #include "aidge/operator/GenericOperator.hpp"
 #include "aidge/operator/Producer.hpp"
 #include "aidge/scheduler/Scheduler.hpp"
@@ -30,48 +30,104 @@
 using namespace Aidge;
 
 TEST_CASE("randomScheduling", "[Scheduler][randomGen]") {
-    const size_t nbTests = 100;
-    size_t nbUnicity = 0;
-
-    for (int test = 0; test < nbTests; ++test) {
-        std::random_device rd;
-        const std::mt19937::result_type seed(rd());
-
-        RandomGraph randGraph;
-        randGraph.acyclic = true;
-        const auto g1 = std::make_shared<GraphView>("g1");
-        const bool unicity1 = g1->add(randGraph.gen(seed, 10));
-
-        if (unicity1) {
-            for (auto& node : g1->getNodes()) {
-                std::static_pointer_cast<GenericOperator_Op>(node->getOperator())->setComputeOutputDims(GenericOperator_Op::InputIdentity(0, node->nbOutputs()));
-            }
-
-            const auto orderedInputs = g1->getOrderedInputs();
-            for (const auto& input : orderedInputs) {
-                auto prod = Producer({16, 32});
-                prod->addChild(input.first, 0, input.second);
-                g1->add(prod);
-            }
-
-            g1->save("schedule");
-            g1->forwardDims();
-
-            auto scheduler = SequentialScheduler(g1);
-            scheduler.generateScheduling(true);
-            const auto sch = scheduler.getStaticScheduling();
-
-            const auto namePtrTable = g1->getRankedNodesName("{0} ({1}#{3})");
-
-            std::vector<std::string> nodesName;
-            std::transform(sch.begin(), sch.end(),
-                std::back_inserter(nodesName),
-                [&namePtrTable](auto val){ return namePtrTable.at(val); });
-
-            fmt::print("schedule: {}\n", nodesName);
-            REQUIRE(sch.size() == 10 + orderedInputs.size());
+  const size_t nbTests = 10;
+  size_t nbUnicity = 0;
+  std::uniform_int_distribution<std::size_t> nb_nodes_dist(100, 500);
+
+  for (int test = 0; test < nbTests; ++test) {
+    std::random_device rd;
+    const std::mt19937::result_type seed(rd());
+    std::mt19937 gen(rd());
+
+    RandomGraph randGraph;
+    const auto g1 = std::make_shared<GraphView>("g1");
+    const size_t nb_nodes = nb_nodes_dist(gen);
+
+    SECTION("Acyclic Graph") {
+      fmt::print("gen acyclic graph of {} nodes...\n", nb_nodes);
+      randGraph.acyclic = true;
+
+      const bool unicity1 = g1->add(randGraph.gen(seed, nb_nodes));
+      // g1->save("test_graph_" + std::to_string(test));
+
+      if (unicity1) {
+        for (auto &node : g1->getNodes()) {
+          std::static_pointer_cast<GenericOperator_Op>(node->getOperator())
+              ->setComputeOutputDims(
+                  GenericOperator_Op::InputIdentity(0, node->nbOutputs()));
+        }
+
+        const auto orderedInputs = g1->getOrderedInputs();
+        for (const auto &input : orderedInputs) {
+          auto prod = Producer({16, 32});
+          prod->addChild(input.first, 0, input.second);
+          g1->add(prod);
         }
+
+        g1->save("schedule");
+        g1->forwardDims();
+
+        fmt::print("gen scheduling...\n");
+        auto scheduler = SequentialScheduler(g1);
+        scheduler.generateScheduling();
+        fmt::print("gen scheduling finished\n");
+        const auto sch = scheduler.getStaticScheduling();
+
+        const auto namePtrTable = g1->getRankedNodesName("{0} ({1}#{3})");
+
+        std::vector<std::string> nodesName;
+        std::transform(
+            sch.begin(), sch.end(), std::back_inserter(nodesName),
+            [&namePtrTable](auto val) { return namePtrTable.at(val); });
+
+        fmt::print("schedule: {}\n", nodesName);
+        REQUIRE(sch.size() == nb_nodes + orderedInputs.size());
+        ++nbUnicity;
+      }
     }
+    // SECTION("Cyclic graph") {
+    //   fmt::print("gen cyclic graph of {} nodes...\n", nb_nodes);
+    //   randGraph.acyclic = false;
+    //   randGraph.types={"Memorize"};
+
+    //   const bool unicity1 = g1->add(randGraph.gen(seed, nb_nodes));
+    //   // g1->save("test_graph_" + std::to_string(test));
+
+    //   if (unicity1) {
+    //     for (auto &node : g1->getNodes()) {
+    //       std::static_pointer_cast<GenericOperator_Op>(node->getOperator())
+    //           ->setComputeOutputDims(
+    //               GenericOperator_Op::InputIdentity(0, node->nbOutputs()));
+    //     }
+
+    //     const auto orderedInputs = g1->getOrderedInputs();
+    //     for (const auto &input : orderedInputs) {
+    //       auto prod = Producer({16, 32});
+    //       prod->addChild(input.first, 0, input.second);
+    //       g1->add(prod);
+    //     }
+
+    //     g1->save("schedule");
+    //     g1->forwardDims();
+
+    //     fmt::print("gen scheduling...\n");
+    //     auto scheduler = SequentialScheduler(g1);
+    //     scheduler.generateScheduling();
+    //     fmt::print("gen scheduling finished\n");
+    //     const auto sch = scheduler.getStaticScheduling();
+
+    //     const auto namePtrTable = g1->getRankedNodesName("{0} ({1}#{3})");
+
+    //     std::vector<std::string> nodesName;
+    //     std::transform(
+    //         sch.begin(), sch.end(), std::back_inserter(nodesName),
+    //         [&namePtrTable](auto val) { return namePtrTable.at(val); });
 
-    fmt::print("nbUnicity = {}/{}\n", nbUnicity, nbTests);
+    //     fmt::print("schedule: {}\n", nodesName);
+    //     REQUIRE(sch.size() == nb_nodes + orderedInputs.size());
+    //     ++nbUnicity;
+    //   }
+    // }
+  }
+  fmt::print("nbUnicity = {}/{}\n", nbUnicity, nbTests);
 }