How to fill QNN_DATATYPE_UFIXED_POINT_16 type array correctly
Hi guys,
I was a bit confused when I tried to use this model.
I was implementing a cpp-based Android app to run stable diffusion on a device with QNN library.
I refered to https://docs.qualcomm.com/bundle/publicresource/topics/80-64748-1/model_execution_android.html to get help.
In the tutorial, time embedding is first written to a file and the file path is given as "qnn-net-run" command's argument.
However, in my program, the time embedding is in the memory and it's type is float, but type of the tensor which is named as "input_2" of the "unet" graph is "QNN_DATATYPE_UFIXED_POINT_16".
So my question is how can I copy correctly from float array to "QNN_DATATYPE_UFIXED_POINT_16" type array?
I searched for any information on QNN's official documenation page, but I had no success so far.
Can anyone please help me have a helping hand?
