TensorRT  7.2.1.6
NVIDIA TensorRT
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tracer Namespace Reference

Functions

def skipTrace (trace, start)
 
def hasTimestamp (metrics)
 
def avgData (data, avg, times)
 
def main ()
 

Variables

list timestamps = ['startInMs', 'endInMs', 'startComputeMs', 'endComputeMs', 'startOutMs', 'endOutMs']
 
list intervals = ['inMs', 'computeMs', 'outMs', 'latencyMs', 'endToEndMs']
 
list allMetrics = timestamps + intervals
 
string defaultMetrics = ",".join(allMetrics)
 
list descriptions
 
 metricsDescription
 

Function Documentation

◆ skipTrace()

def tracer.skipTrace (   trace,
  start 
)
Skip trace entries until start time 
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◆ hasTimestamp()

def tracer.hasTimestamp (   metrics)
Check if features have at least one timestamp 
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◆ avgData()

def tracer.avgData (   data,
  avg,
  times 
)
Average trace entries (every avg entries) 
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◆ main()

def tracer.main ( )
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Variable Documentation

◆ timestamps

list tracer.timestamps = ['startInMs', 'endInMs', 'startComputeMs', 'endComputeMs', 'startOutMs', 'endOutMs']

◆ intervals

list tracer.intervals = ['inMs', 'computeMs', 'outMs', 'latencyMs', 'endToEndMs']

◆ allMetrics

list tracer.allMetrics = timestamps + intervals

◆ defaultMetrics

string tracer.defaultMetrics = ",".join(allMetrics)

◆ descriptions

list tracer.descriptions
Initial value:
1 = ['start input', 'end input', 'start compute', 'end compute', 'start output',
2  'end output', 'input', 'compute', 'output', 'latency', 'end to end latency']

◆ metricsDescription

tracer.metricsDescription
Initial value:
1 = pu.combine_descriptions('Possible metrics (all in ms) are:',
2  allMetrics, descriptions)