Reinitializing layers in BERT
Hello, 

I have a question regarding re-initialising the encoder layers in BERT. What happens if I call the __init__() method of a BERT layer, is the the layer re-initialised using the pre-trained BERT weights or does it get completely new weights ? 

`model.bert.encoder.layer[0].__init__(config)`
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