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[PyTorch 1.4] Fix failing torchscript test for xlnet

model.parameters() order is apparently not stable (only for xlnet, for some reason)

Fix an issue where `prepare_for_model()` gives a `KeyError` when
`return_token_type_ids` is set to `False` and `return_tensors` is
enabled.

Created a link between the linear layer bias and the model attribute bias. This does not change anything for the user nor for the conversion scripts, but allows the `resize_token_embeddings` method to resize the bias as well as the weights of the decoder.

Added a test.

Releasing file lock

Update pipelines.py

* Added repetition penalty

* Default PPLM repetition_penalty to neutral

* Minor modifications to comply with reviewer's suggestions. (j -> token_idx)

* Formatted code with `make style`