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tf.profiler.experimental.start

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.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/profiler/experimental/start