<p>This is a Microsoft bug. I hope there is a work around:</p>
<p>...\mlpack\src\mlpack\methods\ann\rnn_impl.hpp(302): fatal error C1001: An internal error has occurred in the compiler.<br>
(compiler file 'msc1.cpp', line 1421)<br>
To work around this problem, try simplifying or changing the program near the locations listed above.<br>
Please choose the Technical Support command on the Visual C++<br>
Help menu, or open the Technical Support help file for more information<br>
...\mlpack\src\mlpack\methods\ann\rnn_impl.hpp(283): note: while compiling class template member function 'void mlpack::ann::RNNstd::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction>::Gradient(const arma::mat &,const size_t,arma::mat &)'<br>
...\mlpack\src\mlpack\core\optimizers\sgd\sgd_impl.hpp(88): note: see reference to function template instantiation 'void mlpack::ann::RNNstd::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction>::Gradient(const arma::mat &,const size_t,arma::mat &)' being compiled<br>
...\mlpack\src\mlpack\core\optimizers\sgd\sgd_impl.hpp(33): note: while compiling class template member function 'double mlpack::optimization::SGDmlpack::ann::RNN<std::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction>>::Optimize(arma::mat &)'<br>
...\mlpack\src\mlpack\methods\ann\rnn_impl.hpp(168): note: see reference to function template instantiation 'double mlpack::optimization::SGDmlpack::ann::RNN<std::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction>>::Optimize(arma::mat &)' being compiled<br>
...\mlpack\src\mlpack\core\optimizers\sgd\sgd_impl.hpp(22): note: while compiling class template member function 'mlpack::optimization::SGDmlpack::ann::RNN<std::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction>>::SGD(DecomposableFunctionType &,const double,const size_t,const double,const bool)'<br>
with<br>
[<br>
DecomposableFunctionType=mlpack::ann::RNNstd::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction><br>
]<br>
...\mlpack\src\mlpack\tests\recurrent_network_test.cpp(108): note: see reference to function template instantiation 'mlpack::optimization::SGDmlpack::ann::RNN<std::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction>>::SGD(DecomposableFunctionType &,const double,const size_t,const double,const bool)' being compiled<br>
with<br>
[<br>
DecomposableFunctionType=mlpack::ann::RNNstd::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction><br>
]<br>
...\mlpack\src\mlpack\tests\recurrent_network_test.cpp(108): note: see reference to class template instantiation 'mlpack::optimization::SGDmlpack::ann::RNN<std::tuple<mlpack::ann::LinearLayer<arma::mat,arma::mat &,mlpack::ann::RecurrentLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &,mlpack::ann::LinearLayerarma::mat,arma::mat &,mlpack::ann::BaseLayermlpack::ann::LogisticFunction,arma::mat,arma::mat &>,mlpack::ann::BinaryClassificationLayer,mlpack::ann::RandomInitialization,mlpack::ann::MeanSquaredErrorFunction>>' being compiled</p>
<p style="font-size:small;-webkit-text-size-adjust:none;color:#666;">—<br>Reply to this email directly or <a href="https://github.com/mlpack/mlpack/issues/534">view it on GitHub</a>.<img alt="" height="1" src="https://github.com/notifications/beacon/AJ4bFNByiMULdR93l6uweYZ2tEbjDF3fks5ppKTXgaJpZM4Hm1v2.gif" width="1" /></p>
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