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5-10% encoding speedup with faster trellis (-m 6)
mostly by: - storing a single rd-score instead of cost / distortion separately - evaluating terminal cost only once - getting some invariants out of the loops - more consts behind fewer variables Change-Id: I79451f3fd1143d6537200fb8b90d0ba252809f8c
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@ -517,11 +517,10 @@ static void AddScore(VP8ModeScore* const dst, const VP8ModeScore* const src) {
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// Trellis
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typedef struct {
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int prev; // best previous
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int level; // level
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int sign; // sign of coeff_i
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score_t cost; // bit cost
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score_t error; // distortion = sum of (|coeff_i| - level_i * Q_i)^2
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int prev; // best previous node
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int level; // level
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int sign; // sign of coeff_i
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score_t score; // partial RD score
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const uint16_t* costs; // shortcut to cost tables
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} Node;
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@ -582,8 +581,8 @@ static int TrellisQuantizeBlock(const VP8EncIterator* const it,
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// initialize source node.
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n = first - 1;
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for (m = -MIN_DELTA; m <= MAX_DELTA; ++m) {
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NODE(n, m).cost = (ctx0 == 0) ? VP8BitCost(1, last_proba) : 0;
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NODE(n, m).error = max_error;
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const score_t rate = (ctx0 == 0) ? VP8BitCost(1, last_proba) : 0;
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NODE(n, m).score = RDScoreTrellis(lambda, rate, max_error);
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NODE(n, m).costs = costs[VP8EncBands[first]][ctx0];
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}
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}
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@ -604,63 +603,59 @@ static int TrellisQuantizeBlock(const VP8EncIterator* const it,
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// test all alternate level values around level0.
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for (m = -MIN_DELTA; m <= MAX_DELTA; ++m) {
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Node* const cur = &NODE(n, m);
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int delta_error, new_error;
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score_t cur_score = MAX_COST;
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int level = level0 + m;
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const int ctx = (level > 2) ? 2 : level;
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const int band = VP8EncBands[n + 1];
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int last_pos_cost; // extra cost if last coeff's position is < 15
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score_t base_score, last_pos_cost;
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cur->score = MAX_COST;
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if (level > MAX_LEVEL || level < 0) { // node is dead?
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continue;
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}
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cur->sign = sign;
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cur->level = level;
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cur->costs = costs[band][ctx];
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if (level > MAX_LEVEL || level < 0) { // node is dead?
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cur->cost = MAX_COST;
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continue;
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}
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last_pos_cost = (n < 15) ? VP8BitCost(0, probas[band][ctx][0])
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: 0;
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// Compute delta_error = how much coding this level will
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// subtract as distortion to max_error
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new_error = coeff0 - level * Q;
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delta_error =
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kWeightTrellis[j] * (coeff0 * coeff0 - new_error * new_error);
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// Compute extra rate cost if last coeff's position is < 15
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last_pos_cost = (n < 15) ? VP8BitCost(0, probas[band][ctx][0]) : 0;
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{
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// Compute delta_error = how much coding this level will
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// subtract to max_error as distortion.
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// Here, distortion = sum of (|coeff_i| - level_i * Q_i)^2
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const int new_error = coeff0 - level * Q;
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const int delta_error =
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kWeightTrellis[j] * (new_error * new_error - coeff0 * coeff0);
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base_score = RDScoreTrellis(lambda, 0, delta_error);
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}
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// Inspect all possible non-dead predecessors. Retain only the best one.
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for (p = -MIN_DELTA; p <= MAX_DELTA; ++p) {
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const Node* const prev = &NODE(n - 1, p);
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const uint16_t* const tcost = prev->costs;
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const score_t total_error = prev->error - delta_error;
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score_t cost, score;
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if (prev->cost >= MAX_COST) { // dead node?
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continue;
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}
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// Base cost of both terminal/non-terminal
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cost = prev->cost + VP8LevelCost(tcost, level);
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// Examine node assuming it's a non-terminal one.
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score = RDScoreTrellis(lambda, cost, total_error);
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if (score < cur_score) {
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cur_score = score;
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cur->cost = cost;
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cur->error = total_error;
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cur->prev = p;
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}
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// Now, record best terminal node (and thus best entry in the graph).
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if (level) {
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score = RDScoreTrellis(lambda, cost + last_pos_cost, total_error);
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if (score < best_score) {
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best_score = score;
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best_path[0] = n; // best eob position
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best_path[1] = m; // best level
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best_path[2] = p; // best predecessor
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if (prev->score < MAX_COST) { // skip dead node
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// Base cost of both terminal / non-terminal hypothesis
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const score_t cost = VP8LevelCost(prev->costs, level);
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// Examine node assuming it's a non-terminal one.
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score_t score =
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base_score + prev->score + RDScoreTrellis(lambda, cost, 0);
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if (score < cur->score) {
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cur->score = score;
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cur->prev = p;
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}
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}
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}
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// Now, record best terminal node (and thus best entry in the graph).
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if (cur->level != 0) {
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const score_t last_pos_score =
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RDScoreTrellis(lambda, last_pos_cost, 0);
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const score_t score = cur->score + last_pos_score;
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if (score < best_score) {
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best_score = score;
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best_path[0] = n; // best eob position
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best_path[1] = cur->level - level0; // best node index ('m')
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best_path[2] = cur->prev; // best predecessor
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}
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}
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}
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}
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