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Diffstat (limited to 'bin/pta-workload.py')
-rwxr-xr-x | bin/pta-workload.py | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/bin/pta-workload.py b/bin/pta-workload.py new file mode 100755 index 0000000..19a7378 --- /dev/null +++ b/bin/pta-workload.py @@ -0,0 +1,92 @@ +#!/usr/bin/env python3 + +import sys +from dfatool.automata import PTA +from dfatool.utils import human_readable +from dfatool.lex import TimedSequence, TimedWord, Workload + +args = sys.argv[1:] + +loops = dict() +ptafiles = list() +loop_names = set() + + +def simulate_word(timedword): + prev_state = "UNINITIALIZED" + prev_param = None + ret = dict() + for trace_part in timedword: + print("Trace Part {}".format(trace_part)) + if type(trace_part) is TimedWord: + result = pta.simulate( + trace_part, orig_state=prev_state, orig_param=prev_param + ) + elif type(trace_part) is Workload: + result = pta.simulate( + trace_part.word, orig_state=prev_state, orig_param=prev_param + ) + if prev_state != result.end_state: + print( + "Warning: loop starts in state {}, but terminates in {}".format( + prev_state, result.end_state.name + ) + ) + if prev_param != result.parameters: + print( + "Warning: loop starts with parameters {}, but terminates with {}".format( + prev_param, result.parameters + ) + ) + ret[trace_part.name] = result + loop_names.add(trace_part.name) + + print(" Duration: " + human_readable(result.duration, "s")) + if result.duration_mae: + print( + u" ± {} / {:.0f}%".format( + human_readable(result.duration_mae, "s"), result.duration_mape + ) + ) + print(" Energy: " + human_readable(result.energy, "J")) + if result.energy_mae: + print( + u" ± {} / {:.0f}%".format( + human_readable(result.energy_mae, "J"), result.energy_mape + ) + ) + print(" Mean Power: " + human_readable(result.mean_power, "W")) + print("") + + prev_state = result.end_state + prev_param = result.parameters + + return ret + + +for i in range(len(args) // 2): + ptafile, raw_word = args[i * 2], args[i * 2 + 1] + ptafiles.append(ptafile) + pta = PTA.from_file(ptafile) + timedword = TimedSequence(raw_word) + print("Input: {}\n".format(timedword)) + loops[ptafile] = simulate_word(timedword) + +for loop_name in sorted(loop_names): + result_set = list() + total_power = 0 + for ptafile in sorted(ptafiles): + if loop_name in loops[ptafile]: + result_set.append(loops[ptafile][loop_name]) + total_power += loops[ptafile][loop_name].mean_power + print( + "{}: total mean power is {}".format(loop_name, human_readable(total_power, "W")) + ) + for i, result in enumerate(result_set): + print( + " {:.0f}% {} (period: {})".format( + result.mean_power * 100 / total_power, + ptafiles[i], + human_readable(result.duration, "s"), + ) + ) |