IMX8Mquad eIQ Machine learning demo Issue (tflite label_image example)

kandarp_rastey — Mon, 13 Dec 2021 07:33:59 GMT

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

topic IMX8Mquad eIQ Machine learning demo Issue (tflite label_image example) in i.MX Processors

IMX8Mquad eIQ Machine learning demo Issue (tflite label_image example)