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feat[autotuner]: allow absence of hotspot information #646

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Jul 29, 2024
+16 −6
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feat[autotuner]: allow absence of hotspot information #646

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2 changes: 0 additions & 2 deletions discopop_library/EmpiricalAutotuning/ArgumentClasses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,8 +42,6 @@ def __validate(self) -> None:
os.path.join(self.dot_dp_path, "profiler"),
os.path.join(self.dot_dp_path, "explorer"),
os.path.join(self.dot_dp_path, "patch_generator"),
os.path.join(self.dot_dp_path, "hotspot_detection"),
os.path.join(self.dot_dp_path, "hotspot_detection", "Hotspots.json"),
os.path.join(self.dot_dp_path, "line_mapping.json"),
]
for file in required_files:
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20 changes: 16 additions & 4 deletions discopop_library/EmpiricalAutotuning/Autotuner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,13 +11,15 @@
from typing import List, Optional, Set, Tuple, cast

import jsonpickle # type: ignore
from discopop_explorer.PEGraphX import LoopNode
from discopop_library.EmpiricalAutotuning.ArgumentClasses import AutotunerArguments
from discopop_library.EmpiricalAutotuning.Classes.CodeConfiguration import CodeConfiguration
from discopop_library.EmpiricalAutotuning.Classes.ExecutionResult import ExecutionResult
from discopop_library.EmpiricalAutotuning.Statistics.StatisticsGraph import NodeShape, StatisticsGraph
from discopop_library.EmpiricalAutotuning.Types import SUGGESTION_ID
from discopop_library.EmpiricalAutotuning.utils import get_applicable_suggestion_ids
from discopop_library.HostpotLoader.HotspotLoaderArguments import HotspotLoaderArguments
from discopop_library.HostpotLoader.HotspotNodeType import HotspotNodeType
from discopop_library.HostpotLoader.HotspotType import HotspotType
from discopop_library.HostpotLoader.hostpot_loader import run as load_hotspots
from discopop_library.result_classes.DetectionResult import DetectionResult
Expand Down Expand Up @@ -75,11 +77,21 @@ def run(arguments: AutotunerArguments) -> None:
visited_configurations: List[List[SUGGESTION_ID]] = []
best_suggestion_configuration: Tuple[List[SUGGESTION_ID], CodeConfiguration] = ([], reference_configuration)
for hotspot_type in [HotspotType.YES, HotspotType.MAYBE, HotspotType.NO]:
if hotspot_type not in hotspot_information:
continue
# for all loops in descending order by average execution time
loop_tuples = hotspot_information[hotspot_type]
if hotspot_information:
# hotspot information exists
if hotspot_type not in hotspot_information:
continue
# for all loops in descending order by average execution time
loop_tuples = hotspot_information[hotspot_type]
sorted_loop_tuples = sorted(loop_tuples, key=lambda x: x[4], reverse=True)
else:
# no hotspot information was found
# get loop tuples from detection result
loop_nodes = detection_result.pet.all_nodes(type=LoopNode)
loop_tuples = [(l.file_id, l.start_line, HotspotNodeType.LOOP, "", 0.0) for l in loop_nodes]

sorted_loop_tuples = sorted(loop_tuples, key=lambda x: x[4], reverse=True)

for loop_tuple in sorted_loop_tuples:
loop_str = (
""
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