SGVector< float64_t > CFactorGraphModel::get_joint_feature_vector(int32_t feat_idx, CStructuredData* y)
{
// factor graph instance
CFactorGraphFeatures* mf = CFactorGraphFeatures::obtain_from_generic(m_features);
CFactorGraph* fg = mf->get_sample(feat_idx);
// ground truth states
CFactorGraphObservation* fg_states = CFactorGraphObservation::obtain_from_generic(y);
SGVector<int32_t> states = fg_states->get_data();
// initialize psi
SGVector<float64_t> psi(get_dim());
psi.zero();
// construct unnormalized psi
CDynamicObjectArray* facs = fg->get_factors();
for (int32_t fi = 0; fi < facs->get_num_elements(); ++fi)
{
CFactor* fac = dynamic_cast<CFactor*>(facs->get_element(fi));
CTableFactorType* ftype = fac->get_factor_type();
int32_t id = ftype->get_type_id();
SGVector<int32_t> w_map = get_params_mapping(id);
ASSERT(w_map.size() == ftype->get_w_dim());
SGVector<float64_t> dat = fac->get_data();
int32_t dat_size = dat.size();
ASSERT(w_map.size() == dat_size * ftype->get_num_assignments());
int32_t ei = ftype->index_from_universe_assignment(states, fac->get_variables());
for (int32_t di = 0; di < dat_size; di++)
psi[w_map[ei*dat_size + di]] += dat[di];
SG_UNREF(ftype);
SG_UNREF(fac);
}
// negation (-E(x,y) = <w,phi(x,y)>)
psi.scale(-1.0);
SG_UNREF(facs);
SG_UNREF(fg);
return psi;
}
SGMatrix<float64_t> CLogDetEstimator::sample_without_averaging(
index_t num_estimates)
{
SG_DEBUG("Entering...\n")
REQUIRE(m_operator_log, "Operator function is NULL\n");
// call the precompute of operator function to compute all prerequisites
m_operator_log->precompute();
REQUIRE(m_trace_sampler, "Trace sampler is NULL\n");
// call the precompute of the sampler
m_trace_sampler->precompute();
// for storing the aggregators that submit_jobs return
CDynamicObjectArray aggregators;
index_t num_trace_samples=m_trace_sampler->get_num_samples();
for (index_t i=0; i<num_estimates; ++i)
{
for (index_t j=0; j<num_trace_samples; ++j)
{
// get the trace sampler vector
SGVector<float64_t> s=m_trace_sampler->sample(j);
// create jobs with the sample vector and store the aggregator
CJobResultAggregator* agg=m_operator_log->submit_jobs(s);
aggregators.append_element(agg);
SG_UNREF(agg);
}
}
REQUIRE(m_computation_engine, "Computation engine is NULL\n");
// wait for all the jobs to be completed
m_computation_engine->wait_for_all();
// the samples matrix which stores the estimates without averaging
// dimension: number of trace samples x number of log-det estimates
SGMatrix<float64_t> samples(num_trace_samples, num_estimates);
// use the aggregators to find the final result
int32_t num_aggregates=aggregators.get_num_elements();
for (int32_t i=0; i<num_aggregates; ++i)
{
CJobResultAggregator* agg=dynamic_cast<CJobResultAggregator*>
(aggregators.get_element(i));
if (!agg)
SG_ERROR("Element is not CJobResultAggregator type!\n");
// call finalize on all the aggregators
agg->finalize();
CScalarResult<float64_t>* r=dynamic_cast<CScalarResult<float64_t>*>
(agg->get_final_result());
if (!r)
SG_ERROR("Result is not CScalarResult type!\n");
// its important that we don't just unref the result here
index_t idx_row=i%num_trace_samples;
index_t idx_col=i/num_trace_samples;
samples(idx_row, idx_col)=r->get_result();
SG_UNREF(agg);
}
// clear all aggregators
aggregators.clear_array();
SG_DEBUG("Leaving\n")
return samples;
}
