如何解决Devboard解释器运行时错误？

Question

我在珊瑚开发委员会工作。我正在尝试在上面部署一个细分模型。当我运行我的深度实验室分割模型时，它给了我以下错误-

Traceback (most recent call last):
  File "infer.py", line 17, in <module>
    interpreter.allocate_tensors()
  File "/home/mendel/.local/lib/python3.5/site-packages/tflite_runtime/interpreter.py", line 244, in allocate_tensors
    return self._interpreter.AllocateTensors()
  File "/home/mendel/.local/lib/python3.5/site-packages/tflite_runtime/interpreter_wrapper.py", line 114, in AllocateTensors
    return _interpreter_wrapper.InterpreterWrapper_AllocateTensors(self)
RuntimeError: Internal: :71 tf_lite_type != kTfLiteUInt8 (9 != 3)Node number 79 (EdgeTpuDelegateForCustomOp) failed to prepare.

如果我不使用edgetpu编译器使其与TPU兼容，那么模型和脚本就可以正常工作。你知道吗

重新生成问题的代码

from tqdm import tqdm
import numpy as np
from tflite_runtime.interpreter import Interpreter
from tflite_runtime.interpreter import load_delegate

test_data = np.random.rand(480,480,3)
img = np.array([test_data], dtype=np.float32)

interpreter = Interpreter(
      model_path="deep_lab_quant_edgetpu.tflite",
      experimental_delegates=[load_delegate('libedgetpu.so.1.0')])

interpreter.allocate_tensors()

input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
interpreter.set_tensor(input_details[0]['index'], img)
interpreter.invoke()
output_data = interpreter.get_tensor(output_details[0]['index'])