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I found that AIMET QuantSim finally exports an float model and a json file with quantization encodings. However, there is no way to feed the json file into dlc-quantize tool of snpe. So, how can I use snpe to quantize model with the json file derived from AIMET?
The short answer is that you don't need to feed the json file to SNPE (SnapDragon Neural Processing SDK).. SNPE will calculate equivalent encodings as AIMET via its dlc-quantize tool.
For some future use cases, there may be a need to import AIMET encodings into SNPE (and there is an option to do that with the latest tool), but for now you don't need it.
The short answer is that you don't need to feed the json file to SNPE (SnapDragon Neural Processing SDK).. SNPE will calculate equivalent encodings as AIMET via its dlc-quantize tool.
For some future use cases, there may be a need to import AIMET encodings into SNPE (and there is an option to do that with the latest tool), but for now you don't need it.
Hope that answers your question.
Originally posted by @quic-akhobare in #168 (comment)
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