Hello guys, I was practicing TensorFlow conversion to TensorFlow Lite using the image classification project in the TensorFlow documentation and got an error TypeError: Builder.EndVector() takes 1 positional argument but 2 were given while trying to run the converter
Here is the code:
Convert the model.
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
Save the model.
with open(‘model.tflite’, ‘wb’) as f:
f.write(tflite_model)
what could have possibly happened and how to solve the issue?
@jared_otieno,
Welcome to the Tensorflow Forum!
TypeError: Builder.EndVector() takes 1 positional argument but 2 were given
This may be due to incompatibility between Tensorflow
and Flatbuffer
versions.
Which Tensorflow version is installed?
Thank you!
Thank you @chunduriv, my installed TensorFlow Version is 2.9.1
Hello @chunduriv should I downgrade the Flatbuffer version or upgrade it?
Yes, you can try to set the version as 1.12.0.
But a simple solution here is to upgrade to the latest tensorflow version which will care for this conflict.Thank you!