copy_impl.hpp

Go to the documentation of this file.

#ifndef MLPACK_METHODS_AUGMENTED_TASKS_COPY_IMPL_HPP
#define MLPACK_METHODS_AUGMENTED_TASKS_COPY_IMPL_HPP

// In case it hasn't been included yet.
#include "copy.hpp"

namespace mlpack {
namespace ann /* Artificial Neural Network */ {
namespace augmented /* Augmented neural network */ {
namespace tasks /* Task utilities for augmented */ {

CopyTask::CopyTask(const size_t maxLength,
                   const size_t nRepeats,
                   const bool addSeparator) :
    maxLength(maxLength),
    nRepeats(nRepeats),
    addSeparator(addSeparator)
{
  if (maxLength <= 1)
  {
    std::ostringstream oss;
    oss << "CopyTask::CopyTask(): maximum sequence length ("
        << maxLength << ") "
        << "should be at least 2!"
        << std::endl;
    throw std::invalid_argument(oss.str());
  }
  if (nRepeats <= 0)
  {
    std::ostringstream oss;
    oss << "CopyTask::CopyTask(): repetition count (" << nRepeats << ") "
        << "is not positive!"
        << std::endl;
    throw std::invalid_argument(oss.str());
  }
  // Just storing task-specific parameters.
}

void CopyTask::Generate(arma::field<arma::mat>& input,
                        arma::field<arma::mat>& labels,
                        const size_t batchSize,
                        bool fixedLength) const
{
  input = arma::field<arma::mat>(batchSize);
  labels = arma::field<arma::mat>(batchSize);
  size_t size = maxLength;
  for (size_t i = 0; i < batchSize; ++i)
  {
    if (!fixedLength)
    {
      arma::vec weights(maxLength - 1);

      mlpack::distribution::DiscreteDistribution d(1);
      // We have two binary numbers with exactly two digits (10 and 11).
      // Increasing length by 1 double the number of valid numbers.
      d.Probabilities(0) =
          arma::exp2(arma::linspace(1, maxLength - 1, maxLength - 1));

      size = 2 + d.Random()(0);
    }
    arma::colvec vecInput = arma::randi<arma::colvec>(
      size, arma::distr_param(0, 1));
    arma::colvec vecLabel = arma::conv_to<arma::colvec>::from(
      arma::repmat(vecInput, nRepeats, 1));
    size_t totSize = vecInput.n_elem + addSeparator + vecLabel.n_elem;
    input(i) = arma::zeros(totSize, 2);
    input(i).col(0).rows(0, vecInput.n_elem - 1) =
        vecInput;
    if (addSeparator)
      input(i).at(vecInput.n_elem, 0) = 0.5;
    input(i).col(1).rows(addSeparator + vecInput.n_elem, totSize - 1) =
        arma::ones(totSize-vecInput.n_elem - addSeparator);
    input(i) = input(i).t();
    input(i).reshape(input(i).n_elem, 1);
    labels(i) = arma::zeros(totSize, 1);
    labels(i).col(0).rows(addSeparator + vecInput.n_elem, totSize - 1) =
        vecLabel;
  }
}

void CopyTask::Generate(arma::mat& input,
                        arma::mat& labels,
                        const size_t batchSize) const
{
  arma::field<arma::mat> fieldInput, fieldLabels;
  Generate(fieldInput, fieldLabels, batchSize, true);
  size_t cols = batchSize;
  input = arma::zeros(fieldInput(0).n_rows, cols);
  labels = arma::zeros(fieldLabels(0).n_rows, cols);
  for (size_t i = 0; i < cols; ++i)
  {
    input.col(i) = fieldInput.at(i);
    labels.col(i) = fieldLabels.at(i);
  }
}


} // namespace tasks
} // namespace augmented
} // namespace ann
} // namespace mlpack

#endif