Revert "NE COMPILE PAS ENCORE : tentative de faire du minbatching"

This reverts commit 1cab6cf4.

MLP/src/MLP.cpp

@@ -199,41 +199,6 @@ std::vector<float> MLP::predict(FeatureModel::FeatureDescription & fd)
 
 void MLP::update(FeatureModel::FeatureDescription & fd, int gold)
 {
-  static std::vector<FeatureModel::FeatureDescription> batch;
-  static std::vector<float> golds;
-
-  batch.emplace_back(fd);
-  golds.emplace_back(gold);
-
-  if (batch.size() >= 500)
-  {
-    dynet::ComputationGraph cg;
-    std::vector<dynet::Expression> inputs;
-    for (auto & it : batch)
-    {
-      std::vector<dynet::Expression> expressions;
-
-      for (auto & featValue : it.values)
-        expressions.emplace_back(featValue2Expression(cg, featValue));
-
-      dynet::Expression input = dynet::concatenate(expressions);
-      inputs.emplace_back(input);
-//      dynet::Expression output = run(cg, input);
-//      losses.emplace_back(pickneglogsoftmax(output, it.second));
-    }
-    dynet::Expression batchedInput = dynet::concatenate_to_batch(inputs);
-    dynet::Expression batchedGolds = dynet::input(cg, dynet::Dim({1},golds.size()), golds);
-    //ici faire neglostsoftmax batched
-    dynet::Expression batchedLoss = pickneglogsoftmax(batchedInput, batchedGolds);
-
-
-    cg.backward(batchedLoss);
-    trainer->update();
-
-    batch.clear();
-    golds.clear();
-  }
-  /*
   dynet::ComputationGraph cg;
 
   std::vector<dynet::Expression> expressions;
@@ -247,7 +212,6 @@ void MLP::update(FeatureModel::FeatureDescription & fd, int gold)
 
   cg.backward(loss);
   trainer->update();
-  */
 }
 
 dynet::DynetParams & MLP::getDefaultParams()