Comments (4)
The tensor_size() is multiplying the N shape data, with length=N.
The bug might be a Null tensor passed in. Could you try to reduce the optimization level to see if it helps?
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Thanks for your reply. When I reduce the optimization level, the process runs much slower (500ms+ for a 1-second audio, vs. 200ms optimized), and problem happens elsewhere in MicroPython. If I replay pre-recorded audio, it works just fine. Basically I could not get a stable repro of the issue.
Instead of crashing, can you fix the code to fail silently when the input is invalid? E.g. nnom_predict returns no label and 0 probability? Ideally you can return an error code.
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@junfengzh
Good suggestion, I haven't touched these application APIs for so long.
Besides, I recommend to retrieve the output directly from the buffer and do your own calculation of the probability, since the current API provides only basic calculation.
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Yes I actually want the top N labels instead of one. While I'm reading the code, if this is a small fix for you, it would be great if you can make it.
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Related Issues (20)
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