# Pastebin UhpJTpUF
diff --git a/src/mlpack/methods/ann/gan_impl.hpp b/src/mlpack/methods/ann/gan_impl.hpp
index 0b787443c..97f945979 100644
--- a/src/mlpack/methods/ann/gan_impl.hpp
+++ b/src/mlpack/methods/ann/gan_impl.hpp
@@ -136,7 +136,7 @@ double GAN<Model, InitializationRuleType, Noise>::Evaluate(
       std::move(boost::apply_visitor(
           outputParameterVisitor, 
           discriminator.network.back())), std::move(currentTarget));
-  noise.imbue( [&]() { return noiseFunction(randGen);} );
+  noise.imbue( [&]() { return noiseFunction();} );
   generator.Forward(std::move(noise));
   arma::mat temp = boost::apply_visitor(
       outputParameterVisitor, generator.network.back());
@@ -193,7 +193,7 @@ Gradient(const arma::mat& /*parameters*/, const size_t i, arma::mat& gradient)
   // get the gradients of the discriminator
   discriminator.Gradient(discriminator.parameter, i, gradientDiscriminator);
 
-  noise.imbue( [&]() { return noiseFunction(randGen);} );
+  noise.imbue( [&]() { return noiseFunction();} );
   generator.Forward(std::move(noise));
   discriminator.predictors.col(numFunctions) = boost::apply_visitor(
       outputParameterVisitor, generator.network.back());
@@ -204,7 +204,7 @@ Gradient(const arma::mat& /*parameters*/, const size_t i, arma::mat& gradient)
 
   gradientDiscriminator += noiseGradientDiscriminator;
 
-  if (currentBatch % generatorUpdateStep == 0 && preTrainSize != 0)
+  if (currentBatch % generatorUpdateStep == 0 && preTrainSize == 0)
   {
     // Minimize log(1 - D(G(noise)))
     // pass the error from discriminator to generator
@@ -220,12 +220,13 @@ Gradient(const arma::mat& /*parameters*/, const size_t i, arma::mat& gradient)
 
     gradientGenerator = -gradientGenerator;
     gradientGenerator *= multiplier;
-
+/*
     if (counter % batchSize == 0)
     {
       Log::Info << "gradientDiscriminator = " << std::max(std::fabs(gradientDiscriminator.min()), std::fabs(gradientDiscriminator.max())) << std::endl;
       Log::Info << "gradientGenerator = " << std::max(std::fabs(gradientGenerator.min()), std::fabs(gradientGenerator.max())) << std::endl;
     }
+*/
   }
   counter++;
   if (counter >= numFunctions)