voxl 2 Failed to appy GPU delegate
-
Hi @modaltb, @Chad-Sweet
We are facing issue with our own tflite model deployed on voxl2 for text detection bounding boxes.
Here we are seeing "Failed to apply GPU deligate".
From our understanding it seems that model will run on CPU in this case. So we are seeing high inference latency of 7-8 seconds, which we want to minimize by running it on GPU.
Can you please help use with this issue.PS: Our tflite model size is 41MB.
Attaching snapshot from voxl2 run for reference.
Thanks
-
Models must contain only instructions from a limited set and be quantized properly to run on the GPU. Please refer to the TensorFlow docs for details:
-
Models must contain only instructions from a limited set and be quantized properly to run on the GPU. Please refer to the TensorFlow docs for details:
This post is deleted! -
Models must contain only instructions from a limited set and be quantized properly to run on the GPU. Please refer to the TensorFlow docs for details:
@James-Strawson Thanks for reply, Will look into it and get back.
Reading along? Create a free ModalAI Forum account to join in.
With an account you can reply, ask your own question, get an email when a ModalAI engineer answers, and mark the reply that solved it. Your place in each thread is saved between visits.
Questions about VOXL, Flight Core, ESCs and ModalAI drones are answered here by the engineers who build them.
Register Login