  itself, select the vision/language hidden states from the first input in the tuple.
The bidirectional cross-modality encoder attention only returns attention values when the language modality is used
  as the input and the vision modality is used as the context vector. Further, while the cross-modality encoder
  contains self-attention for each respective modality and cross-attention, only the cross attention is returned and
  both self attention outputs are disregarded.
This model was contributed by eltoto1219. The original code can be found here.
LxmertConfig
[[autodoc]] LxmertConfig
LxmertTokenizer
[[autodoc]] LxmertTokenizer
LxmertTokenizerFast
[[autodoc]] LxmertTokenizerFast
Lxmert specific outputs
[[autodoc]] models.lxmert.modeling_lxmert.LxmertModelOutput
[[autodoc]] models.lxmert.modeling_lxmert.LxmertForPreTrainingOutput
