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Load CUDAService from Services_cff, and only if gpu modifier is active #432

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Jan 16, 2020
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Load CUDAService from Services_cff, and only if gpu modifier is active #432

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2d741b4
Load CUDAService from Services_cff, and only if gpu modifier is active
makortel Dec 17, 2019
458ad2e
Include offlineBeamSpotCUDA only if gpu Modifier is active
makortel Jan 15, 2020
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2 changes: 0 additions & 2 deletions Configuration/Applications/python/ConfigBuilder.py
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Expand Up @@ -921,8 +921,6 @@ def define_Configs(self):
self.loadAndRemember('SimGeneral.HepPDTESSource.'+self._options.particleTable+'_cfi')

self.loadAndRemember('FWCore/MessageService/MessageLogger_cfi')
# Eventually replace with some more generic file to load
self.loadAndRemember('HeterogeneousCore/CUDAServices/CUDAService_cfi')

self.ALCADefaultCFF="Configuration/StandardSequences/AlCaRecoStreams_cff"
self.GENDefaultCFF="Configuration/StandardSequences/Generator_cff"
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5 changes: 5 additions & 0 deletions Configuration/StandardSequences/python/Services_cff.py
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Expand Up @@ -11,3 +11,8 @@
#an "intermediate layer" remains, just in case somebody is using it...
# from Configuration.StandardSequences.SimulationRandomNumberGeneratorSeeds_cff import *
from DQMServices.Core.DQMStore_cfg import *

from Configuration.ProcessModifiers.gpu_cff import gpu
def loadCUDAService(process):
process.load("HeterogeneousCore.CUDAServices.CUDAService_cfi")
modifyConfigurationStandardSequencesServicesCUDAService = gpu.makeProcessModifier(loadCUDAService)
11 changes: 6 additions & 5 deletions RecoVertex/BeamSpotProducer/python/BeamSpot_cff.py
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Expand Up @@ -3,9 +3,10 @@
from RecoVertex.BeamSpotProducer.BeamSpot_cfi import *
from RecoVertex.BeamSpotProducer.beamSpotToCUDA_cfi import beamSpotToCUDA as _beamSpotToCUDA

offlineBeamSpotCUDA = _beamSpotToCUDA.clone()
offlineBeamSpotTask = cms.Task(offlineBeamSpot)

offlineBeamSpotTask = cms.Task(
offlineBeamSpot,
offlineBeamSpotCUDA
)
from Configuration.ProcessModifiers.gpu_cff import gpu
offlineBeamSpotCUDA = _beamSpotToCUDA.clone()
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I'm not suggesting to change this, just trying to understand: would it be equivalent to replace

from RecoVertex.BeamSpotProducer.beamSpotToCUDA_cfi import beamSpotToCUDA as _beamSpotToCUDA
offlineBeamSpotCUDA = _beamSpotToCUDA.clone()

with

from RecoVertex.BeamSpotProducer.beamSpotToCUDA_cfi import beamSpotToCUDA as offlineBeamSpotCUDA

?

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The two are not equivalent. The first one creates a copy/clone of RecoVertex.BeamSpotProducer.beamSpotToCUDA_cfi.beamSpotToCUDA, so if the BeamSpot_cff.py would do something along

offlineBeamSpotCUDA.src = "foo"

that change does not propagate to other configurations making use of RecoVertex.BeamSpotProducer.beamSpotToCUDA_cfi.beamSpotToCUDA.

The second one uses the very same object as RecoVertex.BeamSpotProducer.beamSpotToCUDA_cfi.beamSpotToCUDA, and any changes to offlineBeamSpotCUDA do propagate to other configurations making use of RecoVertex.BeamSpotProducer.beamSpotToCUDA_cfi.beamSpotToCUDA, which could be perceived as unexpected.

In this specific case there is little practical difference, so the choice of cloning is more of a following the recommended general pattern (and also protects for the case that someone else would use the second approach and modify a parameter).

_offlineBeamSpotTask_gpu = offlineBeamSpotTask.copy()
_offlineBeamSpotTask_gpu.add(offlineBeamSpotCUDA)
gpu.toReplaceWith(offlineBeamSpotTask, _offlineBeamSpotTask_gpu)