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Did inference with tflite-runtime, and got following errors. Seems need to add custom op in tflite. Any one can help?
20 interpreter = tflite.Interpreter(model_path="./model-sign/model_sign.tflite")
---> 21 interpreter.allocate_tensors() 25 input_details = interpreter.get_input_details()
File /opt/conda/lib/python3.10/site-packages/tflite_runtime/interpreter.py:531, in Interpreter.allocate_tensors(self) 529 def allocate_tensors(self): 530 self._ensure_safe() --> 531 return self._interpreter.AllocateTensors()
RuntimeError: Encountered unresolved custom op: FarthestPointSample. See instructions: https://www.tensorflow.org/lite/guide/ops_custom Node number 0 (FarthestPointSample) failed to prepare.Encountered unresolved custom op: FarthestPointSample.
The text was updated successfully, but these errors were encountered:
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Did inference with tflite-runtime, and got following errors.
Seems need to add custom op in tflite.
Any one can help?
---> 21 interpreter.allocate_tensors()
25 input_details = interpreter.get_input_details()
File /opt/conda/lib/python3.10/site-packages/tflite_runtime/interpreter.py:531, in Interpreter.allocate_tensors(self)
529 def allocate_tensors(self):
530 self._ensure_safe()
--> 531 return self._interpreter.AllocateTensors()
RuntimeError: Encountered unresolved custom op: FarthestPointSample.
See instructions: https://www.tensorflow.org/lite/guide/ops_custom Node number 0 (FarthestPointSample) failed to prepare.Encountered unresolved custom op: FarthestPointSample.
The text was updated successfully, but these errors were encountered: