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EdgeTpuDelegateForCustomOp failed to prepare

See original GitHub issue

When following the guide at https://coral.ai/docs/dev-board/get-started#6-run-a-model-using-the-tensorflow-lite-api I see the following error instead of the expected classification results:

mendel@red-bunny:~/tflite/python/examples/classification$ python3 classify_image.py \
> --model models/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \
> --labels models/inat_bird_labels.txt \
> --input images/parrot.jpg
Traceback (most recent call last):
  File "classify_image.py", line 122, in <module>
    main()
  File "classify_image.py", line 100, in main
    interpreter.allocate_tensors()
  File "/home/mendel/.local/lib/python3.7/site-packages/tflite_runtime/interpreter.py", line 242, in allocate_tensors
    return self._interpreter.AllocateTensors()
  File "/home/mendel/.local/lib/python3.7/site-packages/tflite_runtime/interpreter_wrapper.py", line 115, in AllocateTensors
    return _interpreter_wrapper.InterpreterWrapper_AllocateTensors(self)
RuntimeError: Internal: Unsupported data type: 0Node number 1 (EdgeTpuDelegateForCustomOp) failed to prepare.

Issue Analytics

State:
Created 3 years ago
Comments:23

Top GitHub Comments

1reaction

petewardencommented, Apr 28, 2020

Awesome, thanks, that works! Closing.

0reactions

luckywangchenxicommented, Sep 5, 2021

ok thankyou now I will try it

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