/* Calculate branch probabilities, and basic block execution counts. Copyright (C) 1990, 1991, 1992, 1993, 1994, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2007, 2008, 2009, 2010, 2011, 2012 Free Software Foundation, Inc. Contributed by James E. Wilson, UC Berkeley/Cygnus Support; based on some ideas from Dain Samples of UC Berkeley. Further mangling by Bob Manson, Cygnus Support. This file is part of GCC. GCC is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3, or (at your option) any later version. GCC is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with GCC; see the file COPYING3. If not see . */ /* Generate basic block profile instrumentation and auxiliary files. Profile generation is optimized, so that not all arcs in the basic block graph need instrumenting. First, the BB graph is closed with one entry (function start), and one exit (function exit). Any ABNORMAL_EDGE cannot be instrumented (because there is no control path to place the code). We close the graph by inserting fake EDGE_FAKE edges to the EXIT_BLOCK, from the sources of abnormal edges that do not go to the exit_block. We ignore such abnormal edges. Naturally these fake edges are never directly traversed, and so *cannot* be directly instrumented. Some other graph massaging is done. To optimize the instrumentation we generate the BB minimal span tree, only edges that are not on the span tree (plus the entry point) need instrumenting. From that information all other edge counts can be deduced. By construction all fake edges must be on the spanning tree. We also attempt to place EDGE_CRITICAL edges on the spanning tree. The auxiliary files generated are .gcno (at compile time) and .gcda (at run time). The format is described in full in gcov-io.h. */ /* ??? Register allocation should use basic block execution counts to give preference to the most commonly executed blocks. */ /* ??? Should calculate branch probabilities before instrumenting code, since then we can use arc counts to help decide which arcs to instrument. */ #include "config.h" #include "system.h" #include "coretypes.h" #include "tm.h" #include "rtl.h" #include "flags.h" #include "regs.h" #include "expr.h" #include "function.h" #include "basic-block.h" #include "diagnostic-core.h" #include "coverage.h" #include "value-prof.h" #include "tree.h" #include "tree-flow.h" #include "cfgloop.h" #include "dumpfile.h" #include "profile.h" struct bb_info { unsigned int count_valid : 1; /* Number of successor and predecessor edges. */ gcov_type succ_count; gcov_type pred_count; }; #define BB_INFO(b) ((struct bb_info *) (b)->aux) /* Counter summary from the last set of coverage counts read. */ const struct gcov_ctr_summary *profile_info; /* Number of data points in the working set summary array. Using 128 provides information for at least every 1% increment of the total profile size. The last entry is hardwired to 99.9% of the total. */ #define NUM_GCOV_WORKING_SETS 128 /* Counter working set information computed from the current counter summary. Not initialized unless profile_info summary is non-NULL. */ static gcov_working_set_t gcov_working_sets[NUM_GCOV_WORKING_SETS]; /* Collect statistics on the performance of this pass for the entire source file. */ static int total_num_blocks; static int total_num_edges; static int total_num_edges_ignored; static int total_num_edges_instrumented; static int total_num_blocks_created; static int total_num_passes; static int total_num_times_called; static int total_hist_br_prob[20]; static int total_num_branches; /* Forward declarations. */ static void find_spanning_tree (struct edge_list *); /* Add edge instrumentation code to the entire insn chain. F is the first insn of the chain. NUM_BLOCKS is the number of basic blocks found in F. */ static unsigned instrument_edges (struct edge_list *el) { unsigned num_instr_edges = 0; int num_edges = NUM_EDGES (el); basic_block bb; FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { edge e; edge_iterator ei; FOR_EACH_EDGE (e, ei, bb->succs) { struct edge_info *inf = EDGE_INFO (e); if (!inf->ignore && !inf->on_tree) { gcc_assert (!(e->flags & EDGE_ABNORMAL)); if (dump_file) fprintf (dump_file, "Edge %d to %d instrumented%s\n", e->src->index, e->dest->index, EDGE_CRITICAL_P (e) ? " (and split)" : ""); gimple_gen_edge_profiler (num_instr_edges++, e); } } } total_num_blocks_created += num_edges; if (dump_file) fprintf (dump_file, "%d edges instrumented\n", num_instr_edges); return num_instr_edges; } /* Add code to measure histograms for values in list VALUES. */ static void instrument_values (histogram_values values) { unsigned i; /* Emit code to generate the histograms before the insns. */ for (i = 0; i < VEC_length (histogram_value, values); i++) { histogram_value hist = VEC_index (histogram_value, values, i); unsigned t = COUNTER_FOR_HIST_TYPE (hist->type); if (!coverage_counter_alloc (t, hist->n_counters)) continue; switch (hist->type) { case HIST_TYPE_INTERVAL: gimple_gen_interval_profiler (hist, t, 0); break; case HIST_TYPE_POW2: gimple_gen_pow2_profiler (hist, t, 0); break; case HIST_TYPE_SINGLE_VALUE: gimple_gen_one_value_profiler (hist, t, 0); break; case HIST_TYPE_CONST_DELTA: gimple_gen_const_delta_profiler (hist, t, 0); break; case HIST_TYPE_INDIR_CALL: gimple_gen_ic_profiler (hist, t, 0); break; case HIST_TYPE_AVERAGE: gimple_gen_average_profiler (hist, t, 0); break; case HIST_TYPE_IOR: gimple_gen_ior_profiler (hist, t, 0); break; default: gcc_unreachable (); } } } /* Compute the working set information from the counter histogram in the profile summary. This is an array of information corresponding to a range of percentages of the total execution count (sum_all), and includes the number of counters required to cover that working set percentage and the minimum counter value in that working set. */ static void compute_working_sets (void) { gcov_type working_set_cum_values[NUM_GCOV_WORKING_SETS]; gcov_type ws_cum_hotness_incr; gcov_type cum, tmp_cum; const gcov_bucket_type *histo_bucket; unsigned ws_ix, c_num, count, pctinc, pct; int h_ix; gcov_working_set_t *ws_info; if (!profile_info) return; /* Compute the amount of sum_all that the cumulative hotness grows by in each successive working set entry, which depends on the number of working set entries. */ ws_cum_hotness_incr = profile_info->sum_all / NUM_GCOV_WORKING_SETS; /* Next fill in an array of the cumulative hotness values corresponding to each working set summary entry we are going to compute below. Skip 0% statistics, which can be extrapolated from the rest of the summary data. */ cum = ws_cum_hotness_incr; for (ws_ix = 0; ws_ix < NUM_GCOV_WORKING_SETS; ws_ix++, cum += ws_cum_hotness_incr) working_set_cum_values[ws_ix] = cum; /* The last summary entry is reserved for (roughly) 99.9% of the working set. Divide by 1024 so it becomes a shift, which gives almost exactly 99.9%. */ working_set_cum_values[NUM_GCOV_WORKING_SETS-1] = profile_info->sum_all - profile_info->sum_all/1024; /* Next, walk through the histogram in decending order of hotness and compute the statistics for the working set summary array. As histogram entries are accumulated, we check to see which working set entries have had their expected cum_value reached and fill them in, walking the working set entries in increasing size of cum_value. */ ws_ix = 0; /* The current entry into the working set array. */ cum = 0; /* The current accumulated counter sum. */ count = 0; /* The current accumulated count of block counters. */ for (h_ix = GCOV_HISTOGRAM_SIZE - 1; h_ix >= 0 && ws_ix < NUM_GCOV_WORKING_SETS; h_ix--) { histo_bucket = &profile_info->histogram[h_ix]; /* If we haven't reached the required cumulative counter value for the current working set percentage, simply accumulate this histogram entry into the running sums and continue to the next histogram entry. */ if (cum + histo_bucket->cum_value < working_set_cum_values[ws_ix]) { cum += histo_bucket->cum_value; count += histo_bucket->num_counters; continue; } /* If adding the current histogram entry's cumulative counter value causes us to exceed the current working set size, then estimate how many of this histogram entry's counter values are required to reach the working set size, and fill in working set entries as we reach their expected cumulative value. */ for (c_num = 0, tmp_cum = cum; c_num < histo_bucket->num_counters && ws_ix < NUM_GCOV_WORKING_SETS; c_num++) { count++; /* If we haven't reached the last histogram entry counter, add in the minimum value again. This will underestimate the cumulative sum so far, because many of the counter values in this entry may have been larger than the minimum. We could add in the average value every time, but that would require an expensive divide operation. */ if (c_num + 1 < histo_bucket->num_counters) tmp_cum += histo_bucket->min_value; /* If we have reached the last histogram entry counter, then add in the entire cumulative value. */ else tmp_cum = cum + histo_bucket->cum_value; /* Next walk through successive working set entries and fill in the statistics for any whose size we have reached by accumulating this histogram counter. */ while (tmp_cum >= working_set_cum_values[ws_ix] && ws_ix < NUM_GCOV_WORKING_SETS) { gcov_working_sets[ws_ix].num_counters = count; gcov_working_sets[ws_ix].min_counter = histo_bucket->min_value; ws_ix++; } } /* Finally, update the running cumulative value since we were using a temporary above. */ cum += histo_bucket->cum_value; } gcc_assert (ws_ix == NUM_GCOV_WORKING_SETS); if (dump_file) { fprintf (dump_file, "Counter working sets:\n"); /* Multiply the percentage by 100 to avoid float. */ pctinc = 100 * 100 / NUM_GCOV_WORKING_SETS; for (ws_ix = 0, pct = pctinc; ws_ix < NUM_GCOV_WORKING_SETS; ws_ix++, pct += pctinc) { if (ws_ix == NUM_GCOV_WORKING_SETS - 1) pct = 9990; ws_info = &gcov_working_sets[ws_ix]; /* Print out the percentage using int arithmatic to avoid float. */ fprintf (dump_file, "\t\t%u.%02u%%: num counts=%u, min counter=" HOST_WIDEST_INT_PRINT_DEC "\n", pct / 100, pct - (pct / 100 * 100), ws_info->num_counters, (HOST_WIDEST_INT)ws_info->min_counter); } } } /* Given a the desired percentage of the full profile (sum_all from the summary), multiplied by 10 to avoid float in PCT_TIMES_10, returns the corresponding working set information. If an exact match for the percentage isn't found, the closest value is used. */ gcov_working_set_t * find_working_set (unsigned pct_times_10) { unsigned i; if (!profile_info) return NULL; gcc_assert (pct_times_10 <= 1000); if (pct_times_10 >= 999) return &gcov_working_sets[NUM_GCOV_WORKING_SETS - 1]; i = pct_times_10 * NUM_GCOV_WORKING_SETS / 1000; if (!i) return &gcov_working_sets[0]; return &gcov_working_sets[i - 1]; } /* Computes hybrid profile for all matching entries in da_file. CFG_CHECKSUM is the precomputed checksum for the CFG. */ static gcov_type * get_exec_counts (unsigned cfg_checksum, unsigned lineno_checksum) { unsigned num_edges = 0; basic_block bb; gcov_type *counts; /* Count the edges to be (possibly) instrumented. */ FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { edge e; edge_iterator ei; FOR_EACH_EDGE (e, ei, bb->succs) if (!EDGE_INFO (e)->ignore && !EDGE_INFO (e)->on_tree) num_edges++; } counts = get_coverage_counts (GCOV_COUNTER_ARCS, num_edges, cfg_checksum, lineno_checksum, &profile_info); if (!counts) return NULL; compute_working_sets(); if (dump_file && profile_info) fprintf(dump_file, "Merged %u profiles with maximal count %u.\n", profile_info->runs, (unsigned) profile_info->sum_max); return counts; } static bool is_edge_inconsistent (VEC(edge,gc) *edges) { edge e; edge_iterator ei; FOR_EACH_EDGE (e, ei, edges) { if (!EDGE_INFO (e)->ignore) { if (e->count < 0 && (!(e->flags & EDGE_FAKE) || !block_ends_with_call_p (e->src))) { if (dump_file) { fprintf (dump_file, "Edge %i->%i is inconsistent, count"HOST_WIDEST_INT_PRINT_DEC, e->src->index, e->dest->index, e->count); dump_bb (dump_file, e->src, 0, TDF_DETAILS); dump_bb (dump_file, e->dest, 0, TDF_DETAILS); } return true; } } } return false; } static void correct_negative_edge_counts (void) { basic_block bb; edge e; edge_iterator ei; FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { FOR_EACH_EDGE (e, ei, bb->succs) { if (e->count < 0) e->count = 0; } } } /* Check consistency. Return true if inconsistency is found. */ static bool is_inconsistent (void) { basic_block bb; bool inconsistent = false; FOR_EACH_BB (bb) { inconsistent |= is_edge_inconsistent (bb->preds); if (!dump_file && inconsistent) return true; inconsistent |= is_edge_inconsistent (bb->succs); if (!dump_file && inconsistent) return true; if (bb->count < 0) { if (dump_file) { fprintf (dump_file, "BB %i count is negative " HOST_WIDEST_INT_PRINT_DEC, bb->index, bb->count); dump_bb (dump_file, bb, 0, TDF_DETAILS); } inconsistent = true; } if (bb->count != sum_edge_counts (bb->preds)) { if (dump_file) { fprintf (dump_file, "BB %i count does not match sum of incoming edges " HOST_WIDEST_INT_PRINT_DEC" should be " HOST_WIDEST_INT_PRINT_DEC, bb->index, bb->count, sum_edge_counts (bb->preds)); dump_bb (dump_file, bb, 0, TDF_DETAILS); } inconsistent = true; } if (bb->count != sum_edge_counts (bb->succs) && ! (find_edge (bb, EXIT_BLOCK_PTR) != NULL && block_ends_with_call_p (bb))) { if (dump_file) { fprintf (dump_file, "BB %i count does not match sum of outgoing edges " HOST_WIDEST_INT_PRINT_DEC" should be " HOST_WIDEST_INT_PRINT_DEC, bb->index, bb->count, sum_edge_counts (bb->succs)); dump_bb (dump_file, bb, 0, TDF_DETAILS); } inconsistent = true; } if (!dump_file && inconsistent) return true; } return inconsistent; } /* Set each basic block count to the sum of its outgoing edge counts */ static void set_bb_counts (void) { basic_block bb; FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { bb->count = sum_edge_counts (bb->succs); gcc_assert (bb->count >= 0); } } /* Reads profile data and returns total number of edge counts read */ static int read_profile_edge_counts (gcov_type *exec_counts) { basic_block bb; int num_edges = 0; int exec_counts_pos = 0; /* For each edge not on the spanning tree, set its execution count from the .da file. */ /* The first count in the .da file is the number of times that the function was entered. This is the exec_count for block zero. */ FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { edge e; edge_iterator ei; FOR_EACH_EDGE (e, ei, bb->succs) if (!EDGE_INFO (e)->ignore && !EDGE_INFO (e)->on_tree) { num_edges++; if (exec_counts) { e->count = exec_counts[exec_counts_pos++]; if (e->count > profile_info->sum_max) { if (flag_profile_correction) { static bool informed = 0; if (!informed) inform (input_location, "corrupted profile info: edge count exceeds maximal count"); informed = 1; } else error ("corrupted profile info: edge from %i to %i exceeds maximal count", bb->index, e->dest->index); } } else e->count = 0; EDGE_INFO (e)->count_valid = 1; BB_INFO (bb)->succ_count--; BB_INFO (e->dest)->pred_count--; if (dump_file) { fprintf (dump_file, "\nRead edge from %i to %i, count:", bb->index, e->dest->index); fprintf (dump_file, HOST_WIDEST_INT_PRINT_DEC, (HOST_WIDEST_INT) e->count); } } } return num_edges; } #define OVERLAP_BASE 10000 /* Compare the static estimated profile to the actual profile, and return the "degree of overlap" measure between them. Degree of overlap is a number between 0 and OVERLAP_BASE. It is the sum of each basic block's minimum relative weights between two profiles. And overlap of OVERLAP_BASE means two profiles are identical. */ static int compute_frequency_overlap (void) { gcov_type count_total = 0, freq_total = 0; int overlap = 0; basic_block bb; FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { count_total += bb->count; freq_total += bb->frequency; } if (count_total == 0 || freq_total == 0) return 0; FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) overlap += MIN (bb->count * OVERLAP_BASE / count_total, bb->frequency * OVERLAP_BASE / freq_total); return overlap; } /* Compute the branch probabilities for the various branches. Annotate them accordingly. CFG_CHECKSUM is the precomputed checksum for the CFG. */ static void compute_branch_probabilities (unsigned cfg_checksum, unsigned lineno_checksum) { basic_block bb; int i; int num_edges = 0; int changes; int passes; int hist_br_prob[20]; int num_branches; gcov_type *exec_counts = get_exec_counts (cfg_checksum, lineno_checksum); int inconsistent = 0; /* Very simple sanity checks so we catch bugs in our profiling code. */ if (!profile_info) return; if (profile_info->run_max * profile_info->runs < profile_info->sum_max) { error ("corrupted profile info: run_max * runs < sum_max"); exec_counts = NULL; } if (profile_info->sum_all < profile_info->sum_max) { error ("corrupted profile info: sum_all is smaller than sum_max"); exec_counts = NULL; } /* Attach extra info block to each bb. */ alloc_aux_for_blocks (sizeof (struct bb_info)); FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { edge e; edge_iterator ei; FOR_EACH_EDGE (e, ei, bb->succs) if (!EDGE_INFO (e)->ignore) BB_INFO (bb)->succ_count++; FOR_EACH_EDGE (e, ei, bb->preds) if (!EDGE_INFO (e)->ignore) BB_INFO (bb)->pred_count++; } /* Avoid predicting entry on exit nodes. */ BB_INFO (EXIT_BLOCK_PTR)->succ_count = 2; BB_INFO (ENTRY_BLOCK_PTR)->pred_count = 2; num_edges = read_profile_edge_counts (exec_counts); if (dump_file) fprintf (dump_file, "\n%d edge counts read\n", num_edges); /* For every block in the file, - if every exit/entrance edge has a known count, then set the block count - if the block count is known, and every exit/entrance edge but one has a known execution count, then set the count of the remaining edge As edge counts are set, decrement the succ/pred count, but don't delete the edge, that way we can easily tell when all edges are known, or only one edge is unknown. */ /* The order that the basic blocks are iterated through is important. Since the code that finds spanning trees starts with block 0, low numbered edges are put on the spanning tree in preference to high numbered edges. Hence, most instrumented edges are at the end. Graph solving works much faster if we propagate numbers from the end to the start. This takes an average of slightly more than 3 passes. */ changes = 1; passes = 0; while (changes) { passes++; changes = 0; FOR_BB_BETWEEN (bb, EXIT_BLOCK_PTR, NULL, prev_bb) { struct bb_info *bi = BB_INFO (bb); if (! bi->count_valid) { if (bi->succ_count == 0) { edge e; edge_iterator ei; gcov_type total = 0; FOR_EACH_EDGE (e, ei, bb->succs) total += e->count; bb->count = total; bi->count_valid = 1; changes = 1; } else if (bi->pred_count == 0) { edge e; edge_iterator ei; gcov_type total = 0; FOR_EACH_EDGE (e, ei, bb->preds) total += e->count; bb->count = total; bi->count_valid = 1; changes = 1; } } if (bi->count_valid) { if (bi->succ_count == 1) { edge e; edge_iterator ei; gcov_type total = 0; /* One of the counts will be invalid, but it is zero, so adding it in also doesn't hurt. */ FOR_EACH_EDGE (e, ei, bb->succs) total += e->count; /* Search for the invalid edge, and set its count. */ FOR_EACH_EDGE (e, ei, bb->succs) if (! EDGE_INFO (e)->count_valid && ! EDGE_INFO (e)->ignore) break; /* Calculate count for remaining edge by conservation. */ total = bb->count - total; gcc_assert (e); EDGE_INFO (e)->count_valid = 1; e->count = total; bi->succ_count--; BB_INFO (e->dest)->pred_count--; changes = 1; } if (bi->pred_count == 1) { edge e; edge_iterator ei; gcov_type total = 0; /* One of the counts will be invalid, but it is zero, so adding it in also doesn't hurt. */ FOR_EACH_EDGE (e, ei, bb->preds) total += e->count; /* Search for the invalid edge, and set its count. */ FOR_EACH_EDGE (e, ei, bb->preds) if (!EDGE_INFO (e)->count_valid && !EDGE_INFO (e)->ignore) break; /* Calculate count for remaining edge by conservation. */ total = bb->count - total + e->count; gcc_assert (e); EDGE_INFO (e)->count_valid = 1; e->count = total; bi->pred_count--; BB_INFO (e->src)->succ_count--; changes = 1; } } } } if (dump_file) { int overlap = compute_frequency_overlap (); gimple_dump_cfg (dump_file, dump_flags); fprintf (dump_file, "Static profile overlap: %d.%d%%\n", overlap / (OVERLAP_BASE / 100), overlap % (OVERLAP_BASE / 100)); } total_num_passes += passes; if (dump_file) fprintf (dump_file, "Graph solving took %d passes.\n\n", passes); /* If the graph has been correctly solved, every block will have a succ and pred count of zero. */ FOR_EACH_BB (bb) { gcc_assert (!BB_INFO (bb)->succ_count && !BB_INFO (bb)->pred_count); } /* Check for inconsistent basic block counts */ inconsistent = is_inconsistent (); if (inconsistent) { if (flag_profile_correction) { /* Inconsistency detected. Make it flow-consistent. */ static int informed = 0; if (informed == 0) { informed = 1; inform (input_location, "correcting inconsistent profile data"); } correct_negative_edge_counts (); /* Set bb counts to the sum of the outgoing edge counts */ set_bb_counts (); if (dump_file) fprintf (dump_file, "\nCalling mcf_smooth_cfg\n"); mcf_smooth_cfg (); } else error ("corrupted profile info: profile data is not flow-consistent"); } /* For every edge, calculate its branch probability and add a reg_note to the branch insn to indicate this. */ for (i = 0; i < 20; i++) hist_br_prob[i] = 0; num_branches = 0; FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) { edge e; edge_iterator ei; if (bb->count < 0) { error ("corrupted profile info: number of iterations for basic block %d thought to be %i", bb->index, (int)bb->count); bb->count = 0; } FOR_EACH_EDGE (e, ei, bb->succs) { /* Function may return twice in the cased the called function is setjmp or calls fork, but we can't represent this by extra edge from the entry, since extra edge from the exit is already present. We get negative frequency from the entry point. */ if ((e->count < 0 && e->dest == EXIT_BLOCK_PTR) || (e->count > bb->count && e->dest != EXIT_BLOCK_PTR)) { if (block_ends_with_call_p (bb)) e->count = e->count < 0 ? 0 : bb->count; } if (e->count < 0 || e->count > bb->count) { error ("corrupted profile info: number of executions for edge %d-%d thought to be %i", e->src->index, e->dest->index, (int)e->count); e->count = bb->count / 2; } } if (bb->count) { FOR_EACH_EDGE (e, ei, bb->succs) e->probability = (e->count * REG_BR_PROB_BASE + bb->count / 2) / bb->count; if (bb->index >= NUM_FIXED_BLOCKS && block_ends_with_condjump_p (bb) && EDGE_COUNT (bb->succs) >= 2) { int prob; edge e; int index; /* Find the branch edge. It is possible that we do have fake edges here. */ FOR_EACH_EDGE (e, ei, bb->succs) if (!(e->flags & (EDGE_FAKE | EDGE_FALLTHRU))) break; prob = e->probability; index = prob * 20 / REG_BR_PROB_BASE; if (index == 20) index = 19; hist_br_prob[index]++; num_branches++; } } /* As a last resort, distribute the probabilities evenly. Use simple heuristics that if there are normal edges, give all abnormals frequency of 0, otherwise distribute the frequency over abnormals (this is the case of noreturn calls). */ else if (profile_status == PROFILE_ABSENT) { int total = 0; FOR_EACH_EDGE (e, ei, bb->succs) if (!(e->flags & (EDGE_COMPLEX | EDGE_FAKE))) total ++; if (total) { FOR_EACH_EDGE (e, ei, bb->succs) if (!(e->flags & (EDGE_COMPLEX | EDGE_FAKE))) e->probability = REG_BR_PROB_BASE / total; else e->probability = 0; } else { total += EDGE_COUNT (bb->succs); FOR_EACH_EDGE (e, ei, bb->succs) e->probability = REG_BR_PROB_BASE / total; } if (bb->index >= NUM_FIXED_BLOCKS && block_ends_with_condjump_p (bb) && EDGE_COUNT (bb->succs) >= 2) num_branches++; } } counts_to_freqs (); profile_status = PROFILE_READ; compute_function_frequency (); if (dump_file) { fprintf (dump_file, "%d branches\n", num_branches); if (num_branches) for (i = 0; i < 10; i++) fprintf (dump_file, "%d%% branches in range %d-%d%%\n", (hist_br_prob[i] + hist_br_prob[19-i]) * 100 / num_branches, 5 * i, 5 * i + 5); total_num_branches += num_branches; for (i = 0; i < 20; i++) total_hist_br_prob[i] += hist_br_prob[i]; fputc ('\n', dump_file); fputc ('\n', dump_file); } free_aux_for_blocks (); } /* Load value histograms values whose description is stored in VALUES array from .gcda file. CFG_CHECKSUM is the precomputed checksum for the CFG. */ static void compute_value_histograms (histogram_values values, unsigned cfg_checksum, unsigned lineno_checksum) { unsigned i, j, t, any; unsigned n_histogram_counters[GCOV_N_VALUE_COUNTERS]; gcov_type *histogram_counts[GCOV_N_VALUE_COUNTERS]; gcov_type *act_count[GCOV_N_VALUE_COUNTERS]; gcov_type *aact_count; for (t = 0; t < GCOV_N_VALUE_COUNTERS; t++) n_histogram_counters[t] = 0; for (i = 0; i < VEC_length (histogram_value, values); i++) { histogram_value hist = VEC_index (histogram_value, values, i); n_histogram_counters[(int) hist->type] += hist->n_counters; } any = 0; for (t = 0; t < GCOV_N_VALUE_COUNTERS; t++) { if (!n_histogram_counters[t]) { histogram_counts[t] = NULL; continue; } histogram_counts[t] = get_coverage_counts (COUNTER_FOR_HIST_TYPE (t), n_histogram_counters[t], cfg_checksum, lineno_checksum, NULL); if (histogram_counts[t]) any = 1; act_count[t] = histogram_counts[t]; } if (!any) return; for (i = 0; i < VEC_length (histogram_value, values); i++) { histogram_value hist = VEC_index (histogram_value, values, i); gimple stmt = hist->hvalue.stmt; t = (int) hist->type; aact_count = act_count[t]; act_count[t] += hist->n_counters; gimple_add_histogram_value (cfun, stmt, hist); hist->hvalue.counters = XNEWVEC (gcov_type, hist->n_counters); for (j = 0; j < hist->n_counters; j++) hist->hvalue.counters[j] = aact_count[j]; } for (t = 0; t < GCOV_N_VALUE_COUNTERS; t++) free (histogram_counts[t]); } /* When passed NULL as file_name, initialize. When passed something else, output the necessary commands to change line to LINE and offset to FILE_NAME. */ static void output_location (char const *file_name, int line, gcov_position_t *offset, basic_block bb) { static char const *prev_file_name; static int prev_line; bool name_differs, line_differs; if (!file_name) { prev_file_name = NULL; prev_line = -1; return; } name_differs = !prev_file_name || filename_cmp (file_name, prev_file_name); line_differs = prev_line != line; if (name_differs || line_differs) { if (!*offset) { *offset = gcov_write_tag (GCOV_TAG_LINES); gcov_write_unsigned (bb->index); name_differs = line_differs=true; } /* If this is a new source file, then output the file's name to the .bb file. */ if (name_differs) { prev_file_name = file_name; gcov_write_unsigned (0); gcov_write_string (prev_file_name); } if (line_differs) { gcov_write_unsigned (line); prev_line = line; } } } /* Instrument and/or analyze program behavior based on program the CFG. This function creates a representation of the control flow graph (of the function being compiled) that is suitable for the instrumentation of edges and/or converting measured edge counts to counts on the complete CFG. When FLAG_PROFILE_ARCS is nonzero, this function instruments the edges in the flow graph that are needed to reconstruct the dynamic behavior of the flow graph. This data is written to the gcno file for gcov. When FLAG_BRANCH_PROBABILITIES is nonzero, this function reads auxiliary information from the gcda file containing edge count information from previous executions of the function being compiled. In this case, the control flow graph is annotated with actual execution counts by compute_branch_probabilities(). Main entry point of this file. */ void branch_prob (void) { basic_block bb; unsigned i; unsigned num_edges, ignored_edges; unsigned num_instrumented; struct edge_list *el; histogram_values values = NULL; unsigned cfg_checksum, lineno_checksum; total_num_times_called++; flow_call_edges_add (NULL); add_noreturn_fake_exit_edges (); /* We can't handle cyclic regions constructed using abnormal edges. To avoid these we replace every source of abnormal edge by a fake edge from entry node and every destination by fake edge to exit. This keeps graph acyclic and our calculation exact for all normal edges except for exit and entrance ones. We also add fake exit edges for each call and asm statement in the basic, since it may not return. */ FOR_EACH_BB (bb) { int need_exit_edge = 0, need_entry_edge = 0; int have_exit_edge = 0, have_entry_edge = 0; edge e; edge_iterator ei; /* Functions returning multiple times are not handled by extra edges. Instead we simply allow negative counts on edges from exit to the block past call and corresponding probabilities. We can't go with the extra edges because that would result in flowgraph that needs to have fake edges outside the spanning tree. */ FOR_EACH_EDGE (e, ei, bb->succs) { gimple_stmt_iterator gsi; gimple last = NULL; /* It may happen that there are compiler generated statements without a locus at all. Go through the basic block from the last to the first statement looking for a locus. */ for (gsi = gsi_last_nondebug_bb (bb); !gsi_end_p (gsi); gsi_prev_nondebug (&gsi)) { last = gsi_stmt (gsi); if (gimple_has_location (last)) break; } /* Edge with goto locus might get wrong coverage info unless it is the only edge out of BB. Don't do that when the locuses match, so if (blah) goto something; is not computed twice. */ if (last && gimple_has_location (last) && e->goto_locus != UNKNOWN_LOCATION && !single_succ_p (bb) && (LOCATION_FILE (e->goto_locus) != LOCATION_FILE (gimple_location (last)) || (LOCATION_LINE (e->goto_locus) != LOCATION_LINE (gimple_location (last))))) { basic_block new_bb = split_edge (e); edge ne = single_succ_edge (new_bb); ne->goto_locus = e->goto_locus; ne->goto_block = e->goto_block; } if ((e->flags & (EDGE_ABNORMAL | EDGE_ABNORMAL_CALL)) && e->dest != EXIT_BLOCK_PTR) need_exit_edge = 1; if (e->dest == EXIT_BLOCK_PTR) have_exit_edge = 1; } FOR_EACH_EDGE (e, ei, bb->preds) { if ((e->flags & (EDGE_ABNORMAL | EDGE_ABNORMAL_CALL)) && e->src != ENTRY_BLOCK_PTR) need_entry_edge = 1; if (e->src == ENTRY_BLOCK_PTR) have_entry_edge = 1; } if (need_exit_edge && !have_exit_edge) { if (dump_file) fprintf (dump_file, "Adding fake exit edge to bb %i\n", bb->index); make_edge (bb, EXIT_BLOCK_PTR, EDGE_FAKE); } if (need_entry_edge && !have_entry_edge) { if (dump_file) fprintf (dump_file, "Adding fake entry edge to bb %i\n", bb->index); make_edge (ENTRY_BLOCK_PTR, bb, EDGE_FAKE); /* Avoid bbs that have both fake entry edge and also some exit edge. One of those edges wouldn't be added to the spanning tree, but we can't instrument any of them. */ if (have_exit_edge || need_exit_edge) { gimple_stmt_iterator gsi; gimple first; tree fndecl; gsi = gsi_after_labels (bb); gcc_checking_assert (!gsi_end_p (gsi)); first = gsi_stmt (gsi); if (is_gimple_debug (first)) { gsi_next_nondebug (&gsi); gcc_checking_assert (!gsi_end_p (gsi)); first = gsi_stmt (gsi); } /* Don't split the bbs containing __builtin_setjmp_receiver or __builtin_setjmp_dispatcher calls. These are very special and don't expect anything to be inserted before them. */ if (!is_gimple_call (first) || (fndecl = gimple_call_fndecl (first)) == NULL || DECL_BUILT_IN_CLASS (fndecl) != BUILT_IN_NORMAL || (DECL_FUNCTION_CODE (fndecl) != BUILT_IN_SETJMP_RECEIVER && (DECL_FUNCTION_CODE (fndecl) != BUILT_IN_SETJMP_DISPATCHER))) { if (dump_file) fprintf (dump_file, "Splitting bb %i after labels\n", bb->index); split_block_after_labels (bb); } } } } el = create_edge_list (); num_edges = NUM_EDGES (el); alloc_aux_for_edges (sizeof (struct edge_info)); /* The basic blocks are expected to be numbered sequentially. */ compact_blocks (); ignored_edges = 0; for (i = 0 ; i < num_edges ; i++) { edge e = INDEX_EDGE (el, i); e->count = 0; /* Mark edges we've replaced by fake edges above as ignored. */ if ((e->flags & (EDGE_ABNORMAL | EDGE_ABNORMAL_CALL)) && e->src != ENTRY_BLOCK_PTR && e->dest != EXIT_BLOCK_PTR) { EDGE_INFO (e)->ignore = 1; ignored_edges++; } } /* Create spanning tree from basic block graph, mark each edge that is on the spanning tree. We insert as many abnormal and critical edges as possible to minimize number of edge splits necessary. */ find_spanning_tree (el); /* Fake edges that are not on the tree will not be instrumented, so mark them ignored. */ for (num_instrumented = i = 0; i < num_edges; i++) { edge e = INDEX_EDGE (el, i); struct edge_info *inf = EDGE_INFO (e); if (inf->ignore || inf->on_tree) /*NOP*/; else if (e->flags & EDGE_FAKE) { inf->ignore = 1; ignored_edges++; } else num_instrumented++; } total_num_blocks += n_basic_blocks; if (dump_file) fprintf (dump_file, "%d basic blocks\n", n_basic_blocks); total_num_edges += num_edges; if (dump_file) fprintf (dump_file, "%d edges\n", num_edges); total_num_edges_ignored += ignored_edges; if (dump_file) fprintf (dump_file, "%d ignored edges\n", ignored_edges); total_num_edges_instrumented += num_instrumented; if (dump_file) fprintf (dump_file, "%d instrumentation edges\n", num_instrumented); /* Compute two different checksums. Note that we want to compute the checksum in only once place, since it depends on the shape of the control flow which can change during various transformations. */ cfg_checksum = coverage_compute_cfg_checksum (); lineno_checksum = coverage_compute_lineno_checksum (); /* Write the data from which gcov can reconstruct the basic block graph and function line numbers (the gcno file). */ if (coverage_begin_function (lineno_checksum, cfg_checksum)) { gcov_position_t offset; /* Basic block flags */ offset = gcov_write_tag (GCOV_TAG_BLOCKS); for (i = 0; i != (unsigned) (n_basic_blocks); i++) gcov_write_unsigned (0); gcov_write_length (offset); /* Arcs */ FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, EXIT_BLOCK_PTR, next_bb) { edge e; edge_iterator ei; offset = gcov_write_tag (GCOV_TAG_ARCS); gcov_write_unsigned (bb->index); FOR_EACH_EDGE (e, ei, bb->succs) { struct edge_info *i = EDGE_INFO (e); if (!i->ignore) { unsigned flag_bits = 0; if (i->on_tree) flag_bits |= GCOV_ARC_ON_TREE; if (e->flags & EDGE_FAKE) flag_bits |= GCOV_ARC_FAKE; if (e->flags & EDGE_FALLTHRU) flag_bits |= GCOV_ARC_FALLTHROUGH; /* On trees we don't have fallthru flags, but we can recompute them from CFG shape. */ if (e->flags & (EDGE_TRUE_VALUE | EDGE_FALSE_VALUE) && e->src->next_bb == e->dest) flag_bits |= GCOV_ARC_FALLTHROUGH; gcov_write_unsigned (e->dest->index); gcov_write_unsigned (flag_bits); } } gcov_write_length (offset); } /* Line numbers. */ /* Initialize the output. */ output_location (NULL, 0, NULL, NULL); FOR_EACH_BB (bb) { gimple_stmt_iterator gsi; gcov_position_t offset = 0; if (bb == ENTRY_BLOCK_PTR->next_bb) { expanded_location curr_location = expand_location (DECL_SOURCE_LOCATION (current_function_decl)); output_location (curr_location.file, curr_location.line, &offset, bb); } for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi)) { gimple stmt = gsi_stmt (gsi); if (gimple_has_location (stmt)) output_location (gimple_filename (stmt), gimple_lineno (stmt), &offset, bb); } /* Notice GOTO expressions eliminated while constructing the CFG. */ if (single_succ_p (bb) && single_succ_edge (bb)->goto_locus != UNKNOWN_LOCATION) { expanded_location curr_location = expand_location (single_succ_edge (bb)->goto_locus); output_location (curr_location.file, curr_location.line, &offset, bb); } if (offset) { /* A file of NULL indicates the end of run. */ gcov_write_unsigned (0); gcov_write_string (NULL); gcov_write_length (offset); } } } if (flag_profile_values) gimple_find_values_to_profile (&values); if (flag_branch_probabilities) { compute_branch_probabilities (cfg_checksum, lineno_checksum); if (flag_profile_values) compute_value_histograms (values, cfg_checksum, lineno_checksum); } remove_fake_edges (); /* For each edge not on the spanning tree, add counting code. */ if (profile_arc_flag && coverage_counter_alloc (GCOV_COUNTER_ARCS, num_instrumented)) { unsigned n_instrumented; gimple_init_edge_profiler (); n_instrumented = instrument_edges (el); gcc_assert (n_instrumented == num_instrumented); if (flag_profile_values) instrument_values (values); /* Commit changes done by instrumentation. */ gsi_commit_edge_inserts (); } free_aux_for_edges (); VEC_free (histogram_value, heap, values); free_edge_list (el); coverage_end_function (lineno_checksum, cfg_checksum); } /* Union find algorithm implementation for the basic blocks using aux fields. */ static basic_block find_group (basic_block bb) { basic_block group = bb, bb1; while ((basic_block) group->aux != group) group = (basic_block) group->aux; /* Compress path. */ while ((basic_block) bb->aux != group) { bb1 = (basic_block) bb->aux; bb->aux = (void *) group; bb = bb1; } return group; } static void union_groups (basic_block bb1, basic_block bb2) { basic_block bb1g = find_group (bb1); basic_block bb2g = find_group (bb2); /* ??? I don't have a place for the rank field. OK. Lets go w/o it, this code is unlikely going to be performance problem anyway. */ gcc_assert (bb1g != bb2g); bb1g->aux = bb2g; } /* This function searches all of the edges in the program flow graph, and puts as many bad edges as possible onto the spanning tree. Bad edges include abnormals edges, which can't be instrumented at the moment. Since it is possible for fake edges to form a cycle, we will have to develop some better way in the future. Also put critical edges to the tree, since they are more expensive to instrument. */ static void find_spanning_tree (struct edge_list *el) { int i; int num_edges = NUM_EDGES (el); basic_block bb; /* We use aux field for standard union-find algorithm. */ FOR_BB_BETWEEN (bb, ENTRY_BLOCK_PTR, NULL, next_bb) bb->aux = bb; /* Add fake edge exit to entry we can't instrument. */ union_groups (EXIT_BLOCK_PTR, ENTRY_BLOCK_PTR); /* First add all abnormal edges to the tree unless they form a cycle. Also add all edges to EXIT_BLOCK_PTR to avoid inserting profiling code behind setting return value from function. */ for (i = 0; i < num_edges; i++) { edge e = INDEX_EDGE (el, i); if (((e->flags & (EDGE_ABNORMAL | EDGE_ABNORMAL_CALL | EDGE_FAKE)) || e->dest == EXIT_BLOCK_PTR) && !EDGE_INFO (e)->ignore && (find_group (e->src) != find_group (e->dest))) { if (dump_file) fprintf (dump_file, "Abnormal edge %d to %d put to tree\n", e->src->index, e->dest->index); EDGE_INFO (e)->on_tree = 1; union_groups (e->src, e->dest); } } /* Now insert all critical edges to the tree unless they form a cycle. */ for (i = 0; i < num_edges; i++) { edge e = INDEX_EDGE (el, i); if (EDGE_CRITICAL_P (e) && !EDGE_INFO (e)->ignore && find_group (e->src) != find_group (e->dest)) { if (dump_file) fprintf (dump_file, "Critical edge %d to %d put to tree\n", e->src->index, e->dest->index); EDGE_INFO (e)->on_tree = 1; union_groups (e->src, e->dest); } } /* And now the rest. */ for (i = 0; i < num_edges; i++) { edge e = INDEX_EDGE (el, i); if (!EDGE_INFO (e)->ignore && find_group (e->src) != find_group (e->dest)) { if (dump_file) fprintf (dump_file, "Normal edge %d to %d put to tree\n", e->src->index, e->dest->index); EDGE_INFO (e)->on_tree = 1; union_groups (e->src, e->dest); } } clear_aux_for_blocks (); } /* Perform file-level initialization for branch-prob processing. */ void init_branch_prob (void) { int i; total_num_blocks = 0; total_num_edges = 0; total_num_edges_ignored = 0; total_num_edges_instrumented = 0; total_num_blocks_created = 0; total_num_passes = 0; total_num_times_called = 0; total_num_branches = 0; for (i = 0; i < 20; i++) total_hist_br_prob[i] = 0; } /* Performs file-level cleanup after branch-prob processing is completed. */ void end_branch_prob (void) { if (dump_file) { fprintf (dump_file, "\n"); fprintf (dump_file, "Total number of blocks: %d\n", total_num_blocks); fprintf (dump_file, "Total number of edges: %d\n", total_num_edges); fprintf (dump_file, "Total number of ignored edges: %d\n", total_num_edges_ignored); fprintf (dump_file, "Total number of instrumented edges: %d\n", total_num_edges_instrumented); fprintf (dump_file, "Total number of blocks created: %d\n", total_num_blocks_created); fprintf (dump_file, "Total number of graph solution passes: %d\n", total_num_passes); if (total_num_times_called != 0) fprintf (dump_file, "Average number of graph solution passes: %d\n", (total_num_passes + (total_num_times_called >> 1)) / total_num_times_called); fprintf (dump_file, "Total number of branches: %d\n", total_num_branches); if (total_num_branches) { int i; for (i = 0; i < 10; i++) fprintf (dump_file, "%d%% branches in range %d-%d%%\n", (total_hist_br_prob[i] + total_hist_br_prob[19-i]) * 100 / total_num_branches, 5*i, 5*i+5); } } }