What is the reason for idle time in tensorflow session?

TensorFlow General Discussion
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1

hello everyone,
I am working on real time image processing project and i give 32 images on a batch to deep learning model at all time. Sometimes when i am tracking the tensorflow session, i am seeing processing space.
For instance;

TF_Timeline_error
TF_Timeline_error1910×453 45.4 KB

what is the reason of this ? Can I shorten this time?

3

Hi @emrullah_polat ,

  • Short process (red arrow): Likely a kernel launch or initialization for batch processing on GPU .
  • Spaces in processing (green arrows): Represent GPU idle time Possible causes: data transfer, synchronization, CPU operations, memory management, or scheduling delays .

For more specific improvements, detailed profiling of your code and model architecture would be necessary. Tools like TensorFlow Profiler can provide deeper insights into performance , additionally refer this documentation for better understanding .

Thank You .