Image = LF_v5.10.52-2.1.0_images_IMX8MQEVK
- I'm facing some warning on the IMX8Mquad when running the tflite's lable_image example with the "-a 1" args.
root@imx8mqevk:/usr/bin/tensorflow-lite-2.3.1/examples# ./label_image -m mobilenet_v1_1.0_224_quant.tflite -t 1 -i grace_hopper.bmp -l labels.txt -a 1
Loaded model mobilenet_v1_1.0_224_quant.tflite
resolved reporter
INFO: Created TensorFlow Lite delegate for NNAPI.
Applied NNAPI delegate.
W [query_hardware_caps:66]Unsupported evis version
invoked
average time: 104.07 ms
0.784314: 653 military uniform
0.105882: 907 Windsor tie
0.0156863: 458 bow tie
0.00784314: 466 bulletproof vest
0.00392157: 835 suit
- The NXP documentation states IMX8Mquad has the presence of a GPU, which implies running the tflite's lable_image example with the "-g 1" args should delegate GPU for inference but it isn't the case here. Can someone please shead some light on the same?
root@imx8mqevk:/usr/bin/tensorflow-lite-2.3.1/examples# ./label_image -m mobilenet_v1_1.0_224_quant.tflite -t 1 -i grace_hopper.bmp -l labels.txt -g 1
Loaded model mobilenet_v1_1.0_224_quant.tflite
resolved reporter
GPU acceleration is unsupported on this platform.
invoked
average time: 169.118 ms
0.780392: 653 military uniform
0.105882: 907 Windsor tie
0.0156863: 458 bow tie
0.0117647: 466 bulletproof vest
0.00784314: 835 suit
