Hello,
I am trying to load a model with OSRT(TFLite). However, this model throws a segmentation fault during compilation (see issue).
To test, I simplified the model and used TF MNIST training example and converted it to TFLite model.
I tried the following models:
- Normal training and conversion to TFLite from saved model format(model.tflite)
- Normal training and conversion to TFLite float16 model with quantization without calibration dataset using TFLite options(model_16.tflite)
- Quantization Aware training (Model name: model_8.tflite)
I have uploaded all the models here: https://drive.google.com/drive/u/0/folders/1DRigofV7T-YCg9NkhLxVfNFT786DlxBH
All the models result in error when trying to compile(error log)
Traceback (most recent call last): File "/home/test.py", line 54, in <module> 'tidl_model_import_tflite.so'), compile_options)]) File "/usr/local/lib/python3.6/dist-packages/tflite_runtime/interpreter.py", line 497, in __init__ delegate._get_native_delegate_pointer()) # pylint: disable=protected-access RuntimeError