Closed solmersa closed 10 months ago
Thanks for your feedback, it's weird that the tim::vx::QuantType::NONE symbol appears which means failed quantization. And could you please provide your ut model and Acuitylite quantization code for us to reproduce this issue?
Thanks.
Hi, thanks for your quick reply. The model is a TFLite 2.0 quantized model, according to the AcuityLite docs that model does not need further quantization with AcuityLite.
As it is a TFLite 2.6.0 model it is quantized by default using INT8 data types, is INT8 supported by TIM-VX or only UINT8? SDK Docs seems to suggest both are supported.
Here is attached the conversion script.
Acuitylite quantization/exporter only supports aymu8 (UINT8 for tflite model) now, and we'll support perchanneli8(INT8 for tflite model) quantization/exporter and other features next version. We'll release the next version this month or next month. Thanks.
BTW, you can use vx-delegate to export the app running on TIM-VX. Refs: https://github.com/VeriSilicon/tflite-vx-delegate Thanks.
Thanks for this tip, that sounds interesting.
Does TIM-VX support quantized INT8 tfLite model thru the tflite-vx-delegate?, that would be great!.
There is some confusion in the forums about TIM-VX supporting or not INT8 Quantization. BTW I am targeting the A311D chip.
Yes, TIM-VX supports symmetric and asymmetric quantization for the A311D chip. Thanks.
The generated code has square brackets instead of curly brackets for vector and also lacks comma as separator, it is separated by spaces instead.
tim::vx::Quantization convolution_16_bias_quant(tim::vx::QuantType::NONE, [6.0480506e-05 2.0013793e-04 5.6733566e-05], 0);