dabnn
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JDAI-CV
Benchmark guide
First, congrats on such a successful framework! I would like to test the speed of daBNN on my platform. I can see the benchmark utility, but does it include actual inference on imagenet pictures? Any more detailed instruction?
Thanks for your attention!
You might want to check out https://github.com/JDAI-CV/dabnn-example . I'll also add some detailed document soon.
On Thu, Oct 17, 2019, 10:56 PM Bil17t [email protected] wrote:
First, congrats on such a successful framework! I would like to test the speed of daBNN on my platform. I can see the benchmark utility, but does it include actual inference on imagenet pictures? Any more detailed instruction?
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Which do you want to do, benchmark some models on your side, or do actual inference? Thanks!
I have tested the speed. It would be better if we can verify the accuracy as well. It will also be easier to deploy other models.
For verifying the accuracy, I think you can modify the code based on https://github.com/JDAI-CV/dabnn-example and check the output currently.
And if you want to verify the accuracy more carefully, you can check out 'binaries/run.cpp' about how to send a given input tensor to the model and retrieve the output.