jetson_benchmarks
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some confusion about the nx_benchmarks.csv file.
HI, all I want to know the means about some auguments (like Devices BatchSizeGPU BatchSizeDLC WS_GPU WS_DLA input and output)
- The BatchSizeGPU is the number of picture inferencing once?
Thanks for your time.
As the name suggest, batchsizeGPU is the default batch size for GPU wheareas batchsizeDLA is for DLA. WS is for WorkSpace this is TensorRT parameter which "controls the maximum amount of workspace that may be allocated" For more information
Please let me know if you have any question.
Hi, I have some new questions.
- How to be sure the proper value of batchsizeGPU, batchsizeDLA WS for different models?
- How to understand these parameter to have an impact on the performance for NX?
- what role s do DLA and GPU play in the benchmarking?
- Is NX's performance is sum of DLC and GPU?
thanks for your time.