'Tensorflow Profiler - what is this gap and how to reduce it?
I'm trying to understand what is happening between EagerKernelExecute executions (the 4th or 5th block from the top). I've looked at the profiling docs a few times, but can't figure out what that gap is.
How can I find where execution is spent?
I'm using a CPU-only setup. 16 cores, 190GB memory, 8 TFRecords loaded with tf.Data following the posted best practices.
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