Test

Test#

This application briefs how to configure and pass the prefetch_queue_depth pipeline arugument. This test aims to evaluate the prefetch queue depth support and the perfomance boost up.

Prefetch queue depth#

  • The rocAL pipeline allows the buffering of one or more batches of data.

  • This can be achieved by configuring the prefetch_queue_depth pipeline argument which sets the depth of buffer in both load and output routine.

  • Configuring this paramter controls the buffer that keeps the decoded image batch ready for processing and the processed image batch ready for user.

  • The default prefetch depth is 2.

  • Depending on the machine configuration decreasing or increasing prefetch_queue_depth helps in achieving better performance.

Running the app#

python3 ./prefetch_queue_depth.py  <path to the dataset> <cpu/gpu> <batch_size> <prefetch_queue_depth>

Example#

  • Run with 5000 images from COCO2017 Val dataset and batch size 128 on AMD Eng Sample: 100-000000248-08_35/21_N Processor with nproc - 128.

prefetch_queue_depth as 2

OK: loaded 82 kernels from libvx_rpp.so
Pipeline has been created succesfully
Time taken (averaged over 10 runs)  434458 milli seconds

prefetch_queue_depth as 4

OK: loaded 82 kernels from libvx_rpp.so
Pipeline has been created succesfully
Time taken (averaged over 10 runs)  433953 milli seconds

prefetch_queue_depth as 8

OK: loaded 82 kernels from libvx_rpp.so
Pipeline has been created succesfully
Time taken (averaged over 10 runs)  420856 milli seconds
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