 Unable to load weights properly from tf checkpoint
The  function ``` load_tf_weights_in_bert ``` in ``` modeling_bert.py ``` is buggy and throws a lot of attribute errors because of what seems as the pointer pointing to the entire model.

For instance for the variable ```bert/encoder/layer_0/attention/output/dense/kernel ``` it throws an attribute error along the lines of ```Bert model has no attribute weight ``` because the pointer is the model ```bert``` itself whereas the pointer should be ```bert.encoder.layer.0.attention.output.dense```.
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
<|||||>any updates on this?<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
