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XLAProfiler

class pytorch_lightning.profilers.XLAProfiler(port=9012)[source]

Bases: pytorch_lightning.profilers.profiler.Profiler

XLA Profiler will help you debug and optimize training workload performance for your models using Cloud TPU performance tools.

Parameters

port (int) – the port to start the profiler server on. An exception is raised if the provided port is invalid or busy.

start(action_name)[source]

Defines how to start recording an action.

Return type

None

stop(action_name)[source]

Defines how to record the duration once an action is complete.

Return type

None

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