How to reduce Initialized session time when to use GPU

TensorFlow General Discussion
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1 
      Using the benchmark tool to analyze tflite model run time and memory, found that when setting use_gpu=true,  "initialized session" time is very long,while setting false the time is short.
   so i want to know  how to reduce Initialized session time when to use_gpu? thanks
3

Do you have any code snippet of what you tried?
are you using the cmd line tool?

4

I don’t know if it could be related to:

https://github.com/tensorflow/tensorflow/issues/38746

5

yes，i uesd the cmd line tool like this “/benchmark_model --graph=fp16.tflite --num_threads=4 --use_gpu=true” the Initialized session in 940.822ms. however when i use the line “/benchmark_model --graph=car_fp16.tflite --num_threads=4 --use_gpu=false” the Initialized session in 91.076ms.
i want to know how to reduce Initialized session time when to use_gpu?

7

@Bhack 's comment has a very good discussion on the topic, I guess it can help you