System information

Have I written custom code : interpreter = tf.lite.Interpreter(model_path="models/saved_model.tflite")

OS Platform and Distribution : RaspberryPi 3B+

TensorFlow Git version : v2.4.0-0-g582c8d2

TensorFlow version : 2.4.0

Installation Source : https://github.com/bitsy-ai/tensorflow-arm-bin/releases/download/v2.4.0/tensorflow-2.4.0-cp37-none-linux_armv7l.whl 1

Python version: Python 3.7.3

More Info about the tflite Model : Custom trained EfficientDet-B0 on 40 classes


ERROR :
Traceback (most recent call last):
  File "detect.py", line 8, in <module>
    interpreter = tf.lite.Interpreter(model_path="models/saved_model.tflite")
  File "/home/pi/.local/lib/python3.7/site-packages/tensorflow_core/lite/python/interpreter.py", line 209, in __init__
    model_path, self._custom_op_registerers))
ValueError: Unsupported data type 14 in tensor
Unsupported data type 14 in tensor
Unsupported data type 14 in tensor
Unsupported data type 14 in tensor
Unsupported data type 14 in tensor
Unsupported data type 14 in tensor


Note : If you are suggesting me to upgrade or downgrade the packages, please provide necessary code with it.

Thanks !!