Add customisations for profiling the Pixel-only workflow (#553)

customizePixelOnlyForProfilingGPUOnly:
  Customise the Pixel-only reconstruction to run on GPU
  Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU.

customizePixelOnlyForProfilingGPUWithHostCopy:
  Customise the Pixel-only reconstruction to run on GPU, and copy the data to the host
  Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU,
  and copy all the products to the host in SoA format.
  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.

customizePixelOnlyForProfiling:
  Customise the Pixel-only reconstruction to run on GPU, copy the data to the host,
  and convert to legacy format
  Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU;
  copy all the products to the host in SoA format; and convert them to legacy format.
  The same customisation can be also used on the CPU workflow, running up to the
  tracks and vertices on the CPU.

RecoTracker/Configuration/python/customizePixelOnlyForProfiling.py

@@ -0,0 +1,59 @@
+import FWCore.ParameterSet.Config as cms
+
+# Customise the Pixel-only reconstruction to run on GPU
+#
+# Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU.
+def customizePixelOnlyForProfilingGPUOnly(process):
+
+  process.consumer = cms.EDAnalyzer("GenericConsumer",
+      eventProducts = cms.untracked.vstring('caHitNtupletCUDA', 'pixelVertexCUDA')
+  )
+
+  process.consume_step = cms.EndPath(process.consumer)
+
+  process.schedule = cms.Schedule(process.raw2digi_step, process.reconstruction_step, process.consume_step)
+
+  return process
+
+
+# Customise the Pixel-only reconstruction to run on GPU, and copy the data to the host
+#
+# Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU,
+# and copy all the products to the host in SoA format.
+#
+# 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 customizePixelOnlyForProfilingGPUWithHostCopy(process):
+
+  #? process.siPixelRecHitHostSoA.convertToLegacy = False
+
+  process.consumer = cms.EDAnalyzer("GenericConsumer",
+      eventProducts = cms.untracked.vstring('pixelTrackSoA', 'pixelVertexSoA')
+  )
+
+  process.consume_step = cms.EndPath(process.consumer)
+
+  process.schedule = cms.Schedule(process.raw2digi_step, process.reconstruction_step, process.consume_step)
+
+  return process
+
+
+# Customise the Pixel-only reconstruction to run on GPU, copy the data to the host,
+# and convert to legacy format
+#
+# Run the unpacker, clustering, ntuplets, track fit and vertex reconstruction on GPU;
+# copy all the products to the host in SoA format; and convert them to legacy format.
+#
+# The same customisation can be also used on the CPU workflow, running up to the
+# tracks and vertices on the CPU.
+def customizePixelOnlyForProfiling(process):
+
+  process.consumer = cms.EDAnalyzer("GenericConsumer",
+      eventProducts = cms.untracked.vstring('pixelTracks', 'pixelVertices')
+  )
+
+  process.consume_step = cms.EndPath(process.consumer)
+
+  process.schedule = cms.Schedule(process.raw2digi_step, process.reconstruction_step, process.consume_step)
+
+  return process