TFLite quantization with representative_dataset

I am trying to quantize my model for tflite with representative dataset with a section of my training dataset ( shape (7000,51,300,1) ). using the generator let’s say data_rep = np.array(data_prepped_train[0:100])

The trouble is I am having the below error.

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

can anyone give me an insight on the matter?

submitted by /u/tagiyevv
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