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Functions
customizePixelOnlyForProfiling Namespace Reference

Functions

def customizePixelOnlyForProfiling
 
def customizePixelOnlyForProfilingGPUOnly
 
def customizePixelOnlyForProfilingGPUWithHostCopy
 

Function Documentation

def customizePixelOnlyForProfiling.customizePixelOnlyForProfiling (   process)

Definition at line 49 of file customizePixelOnlyForProfiling.py.

49 
50 def customizePixelOnlyForProfiling(process):
51 
52  process.consumer = cms.EDAnalyzer("GenericConsumer",
53  eventProducts = cms.untracked.vstring('pixelTracks', 'pixelVertices')
54  )
55 
56  process.consume_step = cms.EndPath(process.consumer)
57 
58  process.schedule = cms.Schedule(process.raw2digi_step, process.reconstruction_step, process.consume_step)
59 
60  return process
def customizePixelOnlyForProfiling.customizePixelOnlyForProfilingGPUOnly (   process)

Definition at line 6 of file customizePixelOnlyForProfiling.py.

6 
7 def customizePixelOnlyForProfilingGPUOnly(process):
8 
9  process.consumer = cms.EDAnalyzer("GenericConsumer",
10  eventProducts = cms.untracked.vstring('pixelTracksCUDA', 'pixelVerticesCUDA')
11  )
12 
13  process.consume_step = cms.EndPath(process.consumer)
14 
15  process.schedule = cms.Schedule(process.raw2digi_step, process.reconstruction_step, process.consume_step)
16 
17  return process
18 
19 
20 # Customise the Pixel-only reconstruction to run on GPU, and copy the data to the host
21 #
22 # Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU,
23 # and copy all the products to the host in SoA format.
24 #
25 # The same customisation can be also used on the SoA CPU workflow, running up to the
# tracks and vertices on the CPU in SoA format, without conversion to legacy format.
def customizePixelOnlyForProfiling.customizePixelOnlyForProfilingGPUWithHostCopy (   process)

Definition at line 26 of file customizePixelOnlyForProfiling.py.

26 
27 def customizePixelOnlyForProfilingGPUWithHostCopy(process):
28 
29  #? process.siPixelRecHitSoAFromLegacy.convertToLegacy = False
30 
31  process.consumer = cms.EDAnalyzer("GenericConsumer",
32  eventProducts = cms.untracked.vstring('pixelTracksSoA', 'pixelVerticesSoA')
33  )
34 
35  process.consume_step = cms.EndPath(process.consumer)
36 
37  process.schedule = cms.Schedule(process.raw2digi_step, process.reconstruction_step, process.consume_step)
38 
39  return process
40 
41 
42 # Customise the Pixel-only reconstruction to run on GPU, copy the data to the host,
43 # and convert to legacy format
44 #
45 # Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU;
46 # copy all the products to the host in SoA format; and convert them to legacy format.
47 #
48 # The same customisation can be also used on the CPU workflow, running up to the
# tracks and vertices on the CPU.
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