RandomNetwork.cpp

#include "RandomNetwork.hpp"

RandomNetworkImpl::RandomNetworkImpl(long outputSize) : outputSize(outputSize)
{
}

torch::Tensor RandomNetworkImpl::forward(torch::Tensor input)
{
  if (input.dim() == 1)
    input = input.unsqueeze(0);

  return torch::randn({input.size(0), outputSize}, torch::TensorOptions().device(device).requires_grad(true));
}

std::vector<std::vector<long>> RandomNetworkImpl::extractContext(Config &, Dict &) const
{
  return std::vector<std::vector<long>>{{0}};
}