void layer::check_layer_data_consistency(const layer_data& data) const
{
data_config dc = get_data_config();
if (dc.size() != data.size())
throw neural_network_exception((boost::format("data weight vector count %1% doesn't satisfy layer configuration %2%") % data.size() % dc.size()).str());
for(unsigned int i = 0; i < dc.size(); ++i)
{
if (dc[i] != data[i].size())
throw neural_network_exception((boost::format("data weight count %1% for vector %2% doesn't satisfy layer configuration %3%") % data[i].size() % i % dc[i]).str());
}
}
layer_data_smart_ptr layer::create_layer_data() const
{
layer_data_smart_ptr res(new layer_data());
data_config dc = get_data_config();
res->resize(dc.size());
for(unsigned int i = 0; i < dc.size(); ++i)
(*res)[i].resize(dc[i]);
return res;
}
bool layer::is_empty_data() const
{
data_config dc = get_data_config();
for(std::vector<unsigned int>::const_iterator it = dc.begin(); it != dc.end(); it++)
{
if (*it > 0)
return false;
}
return true;
}
bool layer::is_empty_data() const
{
return get_data_config().empty();
}
