Hello. I'm doing my toy project with i.MX 8M PLUS evk board.
I'm in trouble executing my python file which runs object detection on vx delegate.
As I used vx delegate, the following message came up.
"WARNING: Fallback unsupported op 32 to TfLite"
Please tell me what I should do solve this problem.
Should I fix the model? or python code? I don't know at all.
I want to run my program on vx delegate. (with no using CPU)
Here is chunk of logs when I run my python code.
//
Vx delegate: allowed_cache_mode set to 0.
Vx delegate: device num set to 0.
Vx delegate: allowed_builtin_code set to 0.
Vx delegate: error_during_init set to 0.
Vx delegate: error_during_prepare set to 0.
Vx delegate: error_during_invoke set to 0.
WARNING: Fallback unsupported op 32 to TfLite
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
//
Solved! Go to Solution.
You need make uint8/int8 quantization with eIQ tool or yourself tool.
Hi @dpcivl have you able to build Vx delegate successfully, I am trying to build Vx delegate but unable to build it by following the official NXP IMX-machine-learning-UG. if you have any sources could you please attach here then i can reference the same for building the Vx delegate.and my os is Linux
You need make uint8/int8 quantization with eIQ tool or yourself tool.