Part Number: J721EXSOMXEVM
Hello Pratik,
Is there any update related to my problem?
Best Regards!
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Part Number: J721EXSOMXEVM
Hello Pratik,
Is there any update related to my problem?
Best Regards!
Hi,
Since this thread was inactive, it got locked.
I have checked the thread, and as i see we have requested logs/observations on 9.1 sdk.
Could you please revert the same ? This will help us to cross out sdk version related possibility.
Hi, Pratik,
I tested the same model and configuration with SDK 9.1, but results are the same.
I send you config file and logs.
Best Regards!
Thanks for sharing the logs.
I will verify the findings at my end and get back to you in 1 week.
Hi Lachezar,
Apologies for the delay in response.
Due to bandwidth I was not able to look into above issue.
I have checked the logs, since you are pointing to accuracy related issue here are few things you can try.
Please refer to the vast documentation on accuracy debug here : https://github.com/TexasInstruments/edgeai-tidl-tools/blob/master/docs/tidl_osr_debug.md
I have created jupyter notebooks that would be helpful for layer level accuracy debug (Float 32 Vs Quantized) : https://github.com/kumardesappan/colab-notebooks/blob/main/tidlrt_tensor_debug.ipynb
If you observe any issue in accuracy wrt particular layer, please share the trimmed model(having only that layer) to verify at our end.
Thanks for your patience again.