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def | __init__ (self, timeValue, BlockingBoolValue, sleepFraction, cfgPath, dfgPath, topSequencer, showStat=False, timeline=False, outputLevel=INFO, cardinality=1) |
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def | get (self) |
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Constructs the sequence tree of CPUCrunchers with provided control flow and data flow precedence rules.
Definition at line 166 of file precedence.py.
◆ __init__()
def precedence.CruncherSequence.__init__ |
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self, |
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timeValue, |
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BlockingBoolValue, |
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sleepFraction, |
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cfgPath, |
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dfgPath, |
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topSequencer, |
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showStat = False , |
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timeline = False , |
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outputLevel = INFO , |
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cardinality = 1 |
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Keyword arguments:
timeValue -- timeValue object to set algorithm execution time
BlockingBoolValue -- *BooleanValue object to set whether an algorithm has to experience CPU-blocking execution
cfgPath -- relative to $ENV_PROJECT_SOURCE_DIR/GaudiHive/data path to GRAPHML file with control flow dependencies
dfgPath -- relative to $ENV_PROJECT_SOURCE_DIR/GaudiHive/data path to GRAPHML file with data flow dependencies
showStat -- print out statistics on precedence graph
Definition at line 177 of file precedence.py.
192 timeValue -- timeValue object to set algorithm execution time
193 BlockingBoolValue -- *BooleanValue object to set whether an algorithm has to experience CPU-blocking execution
194 cfgPath -- relative to $ENV_PROJECT_SOURCE_DIR/GaudiHive/data path to GRAPHML file with control flow dependencies
195 dfgPath -- relative to $ENV_PROJECT_SOURCE_DIR/GaudiHive/data path to GRAPHML file with data flow dependencies
196 showStat -- print out statistics on precedence graph
199 self.cardinality = cardinality
200 self.timeValue = timeValue
201 self.BlockingBoolValue = BlockingBoolValue
202 self.sleepFraction = sleepFraction
207 self.enableTimeline = timeline
209 self.outputLevel = outputLevel
212 self.sequencer = self._generate_sequence(topSequencer)
215 print(
"\n===== Statistics on Algorithms =====")
217 "Total number of algorithm nodes: ",
218 len(self.unique_algos)
219 + sum([self.dupl_algos[i] - 1
for i
in self.dupl_algos]),
221 print(
"Number of unique algorithms: ", len(self.unique_algos))
224 len(self.dupl_algos),
225 "of them being re-used with the following distribution: ",
226 [self.dupl_algos[i]
for i
in self.dupl_algos],
230 print(
"\n===== Statistics on Sequencers =====")
232 "Total number of sequencers: ",
233 len(self.unique_sequencers)
234 + sum([self.dupl_seqs[i] - 1
for i
in self.dupl_seqs]),
236 print(
"Number of unique sequencers: ", len(self.unique_sequencers))
240 "of them being re-used with the following distribution: ",
241 [self.dupl_seqs[i]
for i
in self.dupl_seqs],
244 print(
"Number of OR-sequencers: ", len(self.OR_sequencers))
246 print(
"\n===== Statistics on DataObjects =====")
247 print(
"Number of unique DataObjects: ", len(self.unique_data_objects))
◆ _declare_data_deps()
def precedence.CruncherSequence._declare_data_deps |
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self, |
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algo_name, |
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algo |
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private |
Declare data inputs and outputs for a given algorithm.
Definition at line 254 of file precedence.py.
254 def _declare_data_deps(self, algo_name, algo):
255 """Declare data inputs and outputs for a given algorithm."""
258 for inNode, outNode
in self.dfg.in_edges(algo_name):
260 if dataName
not in self.unique_data_objects:
261 self.unique_data_objects.append(dataName)
263 if dataName
not in algo.inpKeys:
264 algo.inpKeys.append(dataName)
267 for inNode, outNode
in self.dfg.out_edges(algo_name):
269 if dataName
not in self.unique_data_objects:
270 self.unique_data_objects.append(dataName)
272 if dataName
not in algo.outKeys:
273 algo.outKeys.append(dataName)
◆ _generate_sequence()
def precedence.CruncherSequence._generate_sequence |
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self, |
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name, |
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seq = None |
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private |
Assemble the tree of sequencers.
Definition at line 275 of file precedence.py.
275 def _generate_sequence(self, name, seq=None):
276 """Assemble the tree of sequencers."""
279 seq = Gaudi__Sequencer(name, ShortCircuit=
False)
281 for n
in self.cfg[name]:
283 algo_name = n.split(
"/")[1]
if "/" in n
else n
285 if "type" in self.cfg.nodes[n]:
287 algo_type = self.cfg.nodes[n].
get(
"type")
291 algo_type = n.split(
"/")[0]
if "/" in n
else "Algorithm"
293 if algo_type
in [
"GaudiSequencer",
"AthSequencer",
"ProcessPhase"]:
294 if algo_name
in [
"RecoITSeq",
"RecoOTSeq",
"RecoTTSeq"]:
297 if n
not in self.unique_sequencers:
298 self.unique_sequencers.append(n)
300 if n
not in self.dupl_seqs:
301 self.dupl_seqs[n] = 2
303 self.dupl_seqs[n] += 1
305 seq_daughter = Gaudi__Sequencer(algo_name, OutputLevel=INFO)
306 if self.cfg.nodes[n].
get(
"ModeOR") ==
"True":
307 self.OR_sequencers.append(n)
308 seq_daughter.ModeOR =
True
311 seq_daughter.ShortCircuit =
False
312 if seq_daughter
not in seq.Members:
313 seq.Members += [seq_daughter]
315 self._generate_sequence(n, seq_daughter)
319 if n
not in self.unique_algos:
320 self.unique_algos.append(n)
322 if n
not in self.dupl_algos:
323 self.dupl_algos[n] = 2
325 self.dupl_algos[n] += 1
327 avgRuntime, varRuntime = self.timeValue.
get(algo_name)
331 Cardinality=self.cardinality,
332 OutputLevel=self.outputLevel,
333 varRuntime=varRuntime,
334 avgRuntime=avgRuntime,
335 SleepFraction=self.sleepFraction
336 if self.BlockingBoolValue.
get()
338 Timeline=self.enableTimeline,
341 self._declare_data_deps(algo_name, algo_daughter)
343 if algo_daughter
not in seq.Members:
344 seq.Members += [algo_daughter]
◆ get()
def precedence.CruncherSequence.get |
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self | ) |
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◆ BlockingBoolValue
precedence.CruncherSequence.BlockingBoolValue |
◆ cardinality
precedence.CruncherSequence.cardinality |
◆ cfg
precedence.CruncherSequence.cfg |
◆ dfg
precedence.CruncherSequence.dfg |
◆ dupl_algos
precedence.CruncherSequence.dupl_algos |
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static |
◆ dupl_seqs
precedence.CruncherSequence.dupl_seqs |
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static |
◆ enableTimeline
precedence.CruncherSequence.enableTimeline |
◆ OR_sequencers
precedence.CruncherSequence.OR_sequencers |
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static |
◆ outputLevel
precedence.CruncherSequence.outputLevel |
◆ sequencer
precedence.CruncherSequence.sequencer |
◆ sleepFraction
precedence.CruncherSequence.sleepFraction |
◆ timeValue
precedence.CruncherSequence.timeValue |
◆ unique_algos
precedence.CruncherSequence.unique_algos |
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static |
◆ unique_data_objects
precedence.CruncherSequence.unique_data_objects |
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static |
◆ unique_sequencers
precedence.CruncherSequence.unique_sequencers |
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static |
The documentation for this class was generated from the following file: