tf.profiler.experimental.start

Start profiling TensorFlow performance.

tf.profiler.experimental.start(
    logdir, options=None
)

Used in the notebooks

Used in the guideUsed in the tutorials

logdirProfiling results log directory.
optionsProfilerOptions namedtuple to specify miscellaneous profiler options. See example usage below.

AlreadyExistsErrorIf a profiling session is already running.

Example usage:

options = tf.profiler.experimental.ProfilerOptions(host_tracer_level = 3,
                                                   python_tracer_level = 1,
                                                   device_tracer_level = 1)
tf.profiler.experimental.start('logdir_path', options = options)
# Training code here
tf.profiler.experimental.stop()

To view the profiling results, launch TensorBoard and point it to logdir. Open your browser and go to localhost:6006/#profile to view profiling results.