tf.profiler.experimental.start | TensorFlow v2.16.1 (original) (raw)

tf.profiler.experimental.start

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Start profiling TensorFlow performance.

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

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to modules, layers, and models	Research tools

Args
logdir	Profiling results log directory.
options	ProfilerOptions namedtuple to specify miscellaneous profiler options. See example usage below.

Raises
AlreadyExistsError	If 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.

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Last updated 2024-04-26 UTC.