In the context of SNPE and QNN, is there a difference between the HTP and the DSP when it comes to hexagon architectures that are v68+?
I ask this because for the UDO code prodvided by the SNPE SDK, we can see HTP header files grabbed in DSP_v68 implementation of the Conv2D:
#include "HTP/core/simple_reg.h"
Another Question:
When using snpe-dlc-quantize , I have noticed that when using the --enable_htp flag, it quantizes the model to 16-bit rather than 8 bit. Is this supposed to happen?
In the context of Qualcomm Neural Processing SDK (SNPE) and Qualcomm Neural Network (QNN), the HTP (Hexagon Tensor Processor) and DSP (Digital Signal Processor) are both hardware components used for neural network processing on Qualcomm Hexagon architectures. While they share some similarities, there are also differences between them.
Best Regards,
NYStateofHealth