|View source on GitHub|
Starts a trace to record computation graphs and profiling information.
tf.summary.trace_on( graph=True, profiler=False )
Used in the notebooks
|Used in the guide||Used in the tutorials|
Must be invoked in eager mode.
When enabled, TensorFlow runtime will collection information that can later be exported and consumed by TensorBoard. The trace is activated across the entire TensorFlow runtime and affects all threads of execution.