network_analyzer::network_analyzer(network_schema_smart_ptr schema)
: schema(schema)
{
const const_layer_list& layers = *schema;
for(unsigned int i = 0; i < layers.size(); ++i)
{
tiling_factor new_tf = layers[i]->get_tiling_factor();
if (new_tf != tiling_factor(1))
throw neural_network_exception((boost::format("network_analyzer cannot run layer %1% with non-unit tiling factor") % i).str());
}
}
tiling_factor max_subsampling_layer::get_tiling_factor() const
{
tiling_factor res;
if (tiling)
{
std::vector<tiling_factor> tiling_factor_list = get_tiling_factor_list();
res = 1;
std::for_each(tiling_factor_list.begin(), tiling_factor_list.end(), [&res] (tiling_factor x) { res *= x; });
}
else
{
res = tiling_factor(entry_subsampling_size).get_inverse();
}
return res;
}
tiling_factor upsampling_layer::get_tiling_factor() const
{
return tiling_factor(entry_upsampling_size);
}
